tag:blogger.com,1999:blog-86014269130662365912024-03-12T19:31:30.551-07:00GoldSim BlogShowcase GoldSim applications and software features.GoldSimhttp://www.blogger.com/profile/18105288640248926754noreply@blogger.comBlogger100125tag:blogger.com,1999:blog-8601426913066236591.post-63969351237240824172024-01-11T17:01:00.000-08:002024-01-12T08:24:45.380-08:002024 GoldSim User Conference<address class="author">Posted by <a href="http://blog.goldsim.com/p/blog-contributors.html#Jason" rel="author">Jason Lillywhite</a></address>
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</div><div class="separator" style="clear: both; text-align: left;"><br /></div><div class="separator" style="clear: both; text-align: left;">We are excited to announce the return of the <b><a href="https://www.goldsim.com/Web/Customers/Community/Conference/" target="_blank">GoldSim User Conference</a></b>, which will be held from September 9th to 11th, 2024 in the beautiful city of Seattle. September is one of the best months to visit, with an average temperature of 71F (22C). </div><div class="separator" style="clear: both; text-align: left;"><br /></div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiLc3W8TWInXBtKAZGxvu0hWKq1WuR_wvTFyiY1BKBmtzbxwHKaXC5YvJdHXAteDuNcNswmnjuEpKukg0E7AwoIptPqOAcLRQfcFqntiUrZ3zlL1trhaFYyj2NRzfg_9c086w7DUECFniSCoTR04uH929T6pq6oWqMlyaRkk9eTx1iSmzf7EfGClIEvDb5P/s3500/247025050_Shutterstock_small.jpg" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="2333" data-original-width="3500" height="426" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiLc3W8TWInXBtKAZGxvu0hWKq1WuR_wvTFyiY1BKBmtzbxwHKaXC5YvJdHXAteDuNcNswmnjuEpKukg0E7AwoIptPqOAcLRQfcFqntiUrZ3zlL1trhaFYyj2NRzfg_9c086w7DUECFniSCoTR04uH929T6pq6oWqMlyaRkk9eTx1iSmzf7EfGClIEvDb5P/w640-h426/247025050_Shutterstock_small.jpg" width="640" /></a></div><div class="separator" style="clear: both; text-align: center;"><br /></div>
GoldSim user conferences provide great learning and networking opportunities for both expert and novice users. The conference will be held at the beautiful Seattle Marriott Waterfront and the adjacent Bell Harbor International Conference Center, both with stunning views of the downtown Seattle waterfront. In addition to oral presentations, poster sessions, panel discussions, and training sessions, registration also includes several fun networking events (a dinner cruise on Elliot Bay and a Seattle Mariners game in luxury suites). We look forward to seeing you in Seattle! <a href="vhttps://www.goldsim.com/Forms/UserConference/" target="_blank">Register now!</a><div><div>
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<a name='more'></a><div><div class="separator" style="clear: both; text-align: center;"><br /></div>The opening event will be a dinner cruise on the evening of the 9th. During the day of the 9th, an optional one-day Basic Training workshop will be held focusing on novice users (which could also serve as a refresher course for more experienced users who have not used GoldSim recently). Papers, poster sessions and panel discussions will be held on the 10th and 11th.<br /><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgUbJbmXXQuy6N0LGq6jz21-KN6piBaN3H2e37GUpHtqKMWBEgmgpQfiStJ_lEp0vn1mrFQOsloiQgiwWUhwc4QnME8HQs9iwlkJTuEKjgMA3IkYNK6U4axHbChyphenhyphenNY-wb1FcqRgpyv3pDem25tAeluUglihewSwDLqN5OAQMgOEaJcW55SRlFzh8zNv4Xox/s4032/IMG_1100.JPG" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="3024" data-original-width="4032" height="240" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgUbJbmXXQuy6N0LGq6jz21-KN6piBaN3H2e37GUpHtqKMWBEgmgpQfiStJ_lEp0vn1mrFQOsloiQgiwWUhwc4QnME8HQs9iwlkJTuEKjgMA3IkYNK6U4axHbChyphenhyphenNY-wb1FcqRgpyv3pDem25tAeluUglihewSwDLqN5OAQMgOEaJcW55SRlFzh8zNv4Xox/s320/IMG_1100.JPG" width="320" /></a></div><div style="text-align: center;"><span style="font-size: x-small;">Photo: 2018 GoldSim User Conference</span></div><div class="separator" style="clear: both; text-align: center;"><br /></div></div><div>To facilitate networking opportunities, we always host several fun social events (that are included in the registration fee). On the evening of September 9th, we will enjoy a <b>dinner cruise in Elliot Bay.</b></div><div><br /></div><div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhKNAypVDen8-RuXqdtfMK7yzCrpHY0o6js06wQh13E7p45H5cNMbC2fS3lgaVhGX_8JWeZbFoqaQhCqCWsN5adPHFpBdjmOcuq33do4kTNiJBW5au8uIrJ4mNSmNUV8y6xMRZl_hld6SxxMpkax1LfCzkraJIzKKFlDI6gCFSVC_PTW2pWxSdXW3IInEcG/s750/cruise.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="360" data-original-width="750" height="193" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhKNAypVDen8-RuXqdtfMK7yzCrpHY0o6js06wQh13E7p45H5cNMbC2fS3lgaVhGX_8JWeZbFoqaQhCqCWsN5adPHFpBdjmOcuq33do4kTNiJBW5au8uIrJ4mNSmNUV8y6xMRZl_hld6SxxMpkax1LfCzkraJIzKKFlDI6gCFSVC_PTW2pWxSdXW3IInEcG/w400-h193/cruise.png" width="400" /></a></div><div class="separator" style="clear: both; text-align: center;"><span style="font-size: x-small;">Photo courtesy Waterways Cruises & Events, Seattle, Wa</span></div><div class="separator" style="clear: both; text-align: center;"><br /></div>On the following evening (10 September), we will all attend a Mariners baseball game at T-Mobile Park in two large adjoining luxury suites with catered food and beverages. <div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh0OmmxGTlEl1UALA7sD3ECgSzRQw-9_MRKONVNRDW-ju6k7EYg5TvOhFzfzFkjKLLYzyBStULP9ZYr5Qmain8lMTbol1jskmzSW-Dn42qAMQ7cTfV6S-7EH6Au1g3rjvt6pVeYO_CEkSx6U_w_cjdxkUgfrB2qDCGt3uVPMoZlmQGj8tFEsireQlwBEUW-/s5344/IMG_20180911_184139023.jpg" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="3006" data-original-width="5344" height="225" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh0OmmxGTlEl1UALA7sD3ECgSzRQw-9_MRKONVNRDW-ju6k7EYg5TvOhFzfzFkjKLLYzyBStULP9ZYr5Qmain8lMTbol1jskmzSW-Dn42qAMQ7cTfV6S-7EH6Au1g3rjvt6pVeYO_CEkSx6U_w_cjdxkUgfrB2qDCGt3uVPMoZlmQGj8tFEsireQlwBEUW-/w400-h225/IMG_20180911_184139023.jpg" title="2018 GoldSim User Conference" width="400" /></a></div><div style="text-align: center;"><span style="font-size: x-small;">Photo: 2018 GoldSim User Conference</span></div><div class="separator" style="clear: both; text-align: center;"><br /></div><br /><div class="separator" style="clear: both; text-align: center;"><span style="text-align: left;">The conference will be held at the beautiful Seattle Marriott Waterfront and the adjacent Bell Harbor International Conference Center, both with stunning views of the downtown Seattle waterfront.</span></div></div><div>Please note that the venue (and social activities) selected for the conference have limited space. As a result, it is possible that we will need to close registration if all of the spaces fill, so register early!</div></div></div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhrqBT-WcY17UAylbbBpEFFv02leOtPrsKKwJuQM5N1fqifKdAsuoyFAeM28SvlTztt9MOomy0oSOZLlt2g_LZ7UcwtiyygqP9OXwYkdEL21wbNCo2tWrm7TjxtSLZYAlqVuxSCQXwf9JYJ5TgOqnShR3svqv6T78aiDDTssJVi-ZAE6jSu7oNoFA4B0o3a/s1215/Waterfront.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="810" data-original-width="1215" height="266" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhrqBT-WcY17UAylbbBpEFFv02leOtPrsKKwJuQM5N1fqifKdAsuoyFAeM28SvlTztt9MOomy0oSOZLlt2g_LZ7UcwtiyygqP9OXwYkdEL21wbNCo2tWrm7TjxtSLZYAlqVuxSCQXwf9JYJ5TgOqnShR3svqv6T78aiDDTssJVi-ZAE6jSu7oNoFA4B0o3a/w400-h266/Waterfront.png" width="400" /></a></div><div class="separator" style="clear: both; text-align: center;"><span style="font-size: x-small;">Photo courtesy of Seattle Marriot Waterfront</span></div><br /><div><a href="https://www.goldsim.com/Web/Customers/Community/Conference/" target="_blank">Learn More and Register</a></div><div><br /></div>GoldSimhttp://www.blogger.com/profile/18105288640248926754noreply@blogger.com0tag:blogger.com,1999:blog-8601426913066236591.post-41299327914994027772023-09-29T16:29:00.000-07:002023-09-29T16:29:44.836-07:00Simulating Controlled and Uncontrolled Reservoir Discharges<div style="font-variant-east-asian: normal; font-variant-numeric: normal; margin: 0px;">
<span style="font-family: inherit;"><span><span style="color: black; display: inline; float: none; font-size: 16px;"><i>Posted by </i></span><a href="http://goldsimtech.blogspot.com/p/blog-contributors.html#Jason" style="font-variant-east-asian: normal; font-variant-numeric: normal;"><span style="color: black;"><b>Jason Lillywhite</b></span></a></span><br />
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<p></p><div style="margin-left: 1em; margin-right: 1em; text-align: left;">When simulating ponds and reservoirs in GoldSim, one of the most common types of systems we see are the combination of controlled and uncontrolled discharges. Examples of uncontrolled discharges include evaporation losses and flood flows over a spillway. Examples of controlled discharges include water that is pumped out or flows through an opening in the outlet works. Controlled outflows deliver water to service necessary uses downstream such as irrigation or industrial water demands.</div><div style="margin-left: 1em; margin-right: 1em; text-align: left;"><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhoSH_eMaKv_0ufRBDJUQ852NoWR3r45NDK1k5zKDIXFxGXK-BFlUFdsi-UHUFWR5o-jqtWvddTnWo5VPz4hqRDe0Bg36jVlYYNQzI2K0si4LRSg8knZqiveSo05UF2Aa4uF8Z26s4eZt1a5TkzV-pAjnGCxB8t-j6vFpcJiy8RXN2dfgVWc1SqFSpNuAx5/s1189/2023-09-29_15-56-27.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="798" data-original-width="1189" height="430" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhoSH_eMaKv_0ufRBDJUQ852NoWR3r45NDK1k5zKDIXFxGXK-BFlUFdsi-UHUFWR5o-jqtWvddTnWo5VPz4hqRDe0Bg36jVlYYNQzI2K0si4LRSg8knZqiveSo05UF2Aa4uF8Z26s4eZt1a5TkzV-pAjnGCxB8t-j6vFpcJiy8RXN2dfgVWc1SqFSpNuAx5/w640-h430/2023-09-29_15-56-27.jpg" width="640" /></a></div><br /><div class="separator" style="clear: both; text-align: center;"><br /></div>In this blog post, I will walk through the process of setting up this type of model in GoldSim. Hopefully this will provide a good resource for those of you working on conceptual water balance models for your projects.</div><p></p>
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<a name='more'></a><div style="box-sizing: border-box; font-variant-east-asian: normal; font-variant-numeric: normal; margin-bottom: 16px; margin-top: 0px;"><div style="box-sizing: border-box; font-variant-east-asian: normal; font-variant-numeric: normal; margin-bottom: 16px; margin-top: 0px;">The model I will use for this tutorial will simulate 1 inflow and 3 outflows. The outflows include:</div><div style="box-sizing: border-box; font-variant-east-asian: normal; font-variant-numeric: normal; margin-bottom: 16px; margin-top: 0px;"><ul style="text-align: left;"><li>Uncontrolled losses (like evaporation)</li><li>Controlled discharge (representing a pump that is turned on or off without varying flow rate)</li><li>Uncontrolled overflow (representing average daily flow over a spillway)</li></ul></div><div style="box-sizing: border-box; font-variant-east-asian: normal; font-variant-numeric: normal; margin-bottom: 16px; margin-top: 0px;">The first step of the model building process is to define the attributes of the system. This model has the following major attributes:</div><div style="box-sizing: border-box; font-variant-east-asian: normal; font-variant-numeric: normal; margin-bottom: 16px; margin-top: 0px;"><ul style="text-align: left;"><li>Inflow (use a Stochastic element to simplify the model with random values over time)</li><li>Init_Vol (the starting volume at ETime == 0 days)</li><li>Upper_Bound (the maximum allowed volume stored in the reservoir)</li><li>Loss_Rate (the unit rate of loss as a function of the volume)</li></ul><div>The screen capture below shows how this would look in the graphics pane of GoldSim.</div></div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjyes3NrAl6y-gKg1f5psnX0D6R71zR4vYaJSluksH26cMJyoRV-GslqgbDFvTLGKXhHH-1LI_tO9pwDUtTHVBGFJVCfT_nJGrUa4hjSOlROC772i9R1n8J7to09qGqdRmt0u6FbHah9ycma1YxCF8aKHjHzlWRsO-RYSsHWEICXzB1c-j-S8Aiy_KZbdsF/s540/2023-09-29_16-03-37.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="394" data-original-width="540" height="233" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjyes3NrAl6y-gKg1f5psnX0D6R71zR4vYaJSluksH26cMJyoRV-GslqgbDFvTLGKXhHH-1LI_tO9pwDUtTHVBGFJVCfT_nJGrUa4hjSOlROC772i9R1n8J7to09qGqdRmt0u6FbHah9ycma1YxCF8aKHjHzlWRsO-RYSsHWEICXzB1c-j-S8Aiy_KZbdsF/s320/2023-09-29_16-03-37.jpg" width="320" /></a></div><br /><div class="separator" style="clear: both; text-align: center;"><br /></div>The screen capture below shows how these properties would be defined in the interface of the Pool element (called Reservoir):</div><div style="box-sizing: border-box; font-variant-east-asian: normal; font-variant-numeric: normal; margin-bottom: 16px; margin-top: 0px;"><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiF9yiXSrMPFD9cxXhb9l0ROAc1jEzwydxkKNnHrYn0o7GvIvIFQzVsAUcrWBI2eqbUYxFRWQSLtNNM16ucJKZZ3DbRzGabK8jcmPWTCee47Uvc8albfp2EaNQRI2bNzpu2f9Q9x0bGodhvL0j0IMZEz1hZe39dA9OIDmtF-u6PzJm-D-orbJfg-NQ7-0ir/s1269/2023-09-29_16-13-51.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="785" data-original-width="1269" height="396" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiF9yiXSrMPFD9cxXhb9l0ROAc1jEzwydxkKNnHrYn0o7GvIvIFQzVsAUcrWBI2eqbUYxFRWQSLtNNM16ucJKZZ3DbRzGabK8jcmPWTCee47Uvc8albfp2EaNQRI2bNzpu2f9Q9x0bGodhvL0j0IMZEz1hZe39dA9OIDmtF-u6PzJm-D-orbJfg-NQ7-0ir/w640-h396/2023-09-29_16-13-51.jpg" width="640" /></a></div><div class="separator" style="clear: both; text-align: center;"><br /></div><div style="box-sizing: border-box; font-variant-east-asian: normal; font-variant-numeric: normal; margin-bottom: 16px; margin-top: 0px;">The next step is to set up the discharge controls. Discharge from this reservoir is controlled using a Status element that turns the discharge on or off depending on the volume in the reservoir. A True state in the Status element indicates the discharge request is ON while a False status indicates OFF. The discharge request turns on when the reservoir water level exceeds the target volume (Target_Vol) plus the deadband but does not turn off until the reservoir volume drops below the target volume. The deadband is a distance above the target volume that prevents rapid oscillation of the Discharge_ON state. Rather than switching states at the moment the reservoir drops back below the target, the deadband will allow the level to rise above the target somewhat before switching to ON state again. </div></div><div style="box-sizing: border-box; font-variant-east-asian: normal; font-variant-numeric: normal; margin-bottom: 16px; margin-top: 0px;"><span style="color: #202020;"><span style="font-size: 18px;"><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh1S3jBoqjKRoZHUm8XF_-KA7-YvWY8B_4rG-KvK6rxBR8EWe1mxkEC3lTc_TdCfshEjVyHbYt9-xutGAL5AqaH3SXYlNEpXTJduVS3Uinen1Qm4DU3ZHWBSiUoDC6fQF5QEFs8EmIRRkhwNQh6TSjLJWuX4Sck2hy4d4phpKtK3B04gGbWQQNLDFUrcyBD/s1364/2023-09-29_16-18-20.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="654" data-original-width="1364" height="307" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh1S3jBoqjKRoZHUm8XF_-KA7-YvWY8B_4rG-KvK6rxBR8EWe1mxkEC3lTc_TdCfshEjVyHbYt9-xutGAL5AqaH3SXYlNEpXTJduVS3Uinen1Qm4DU3ZHWBSiUoDC6fQF5QEFs8EmIRRkhwNQh6TSjLJWuX4Sck2hy4d4phpKtK3B04gGbWQQNLDFUrcyBD/w640-h307/2023-09-29_16-18-20.jpg" width="640" /></a></div><br /><div class="separator" style="clear: both; text-align: center;"><br /></div><div class="separator" style="clear: both; text-align: left;">A Selector element is used to define the outflow request that will drive the outflow from the Pond. Take note that this is just a request and not the actual outflow output. It is good practice to keep these separate from each other so you can differentiate between information that drives the model and simulation of outflows. Below is s a screen capture showing the properties of the Selector element that is the discharge request.</div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiKdE9wgwVavBqJeX7g0eUU48VppfpIbD3bulEf5ZxzrVANJOjqhFUHaNtxI12TvZxduqwm0VJx5Cd2bLAfEEK9rB60RVPg4AiBcvGplkSmRf7B5-YCEKzwyHNTnYTXAwFUuaEGAz7uRArrdXTBGxco7uPoJ4Hud5l0dMD_C8A_oGuIADgg8ZuWvUWZcrKB/s1043/2023-09-29_16-19-19.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="712" data-original-width="1043" height="436" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiKdE9wgwVavBqJeX7g0eUU48VppfpIbD3bulEf5ZxzrVANJOjqhFUHaNtxI12TvZxduqwm0VJx5Cd2bLAfEEK9rB60RVPg4AiBcvGplkSmRf7B5-YCEKzwyHNTnYTXAwFUuaEGAz7uRArrdXTBGxco7uPoJ4Hud5l0dMD_C8A_oGuIADgg8ZuWvUWZcrKB/w640-h436/2023-09-29_16-19-19.jpg" width="640" /></a></div><br /><div class="separator" style="clear: both; text-align: left;">The Selector output is referenced in the Pool element requests:</div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEj6NyYhyssCkVGqSSh48slxhdrG9D_nr_w8LRJWR1k_Cuw0EPr2xrI_r9-RAa-4qbUaA2KDdo4BpeMOWjqot9j6BYFXxKZ7xQAPeFA-b7Ztu22S1EbkChXDHQzdIZpt4f_OFDRdDNJNVEuUJBSspM5B-34W7DCwQyVGDP9uZceGxBSEvPikbEGpNx7iw_Bj/s655/2023-09-29_16-14-22.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="655" data-original-width="611" height="400" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEj6NyYhyssCkVGqSSh48slxhdrG9D_nr_w8LRJWR1k_Cuw0EPr2xrI_r9-RAa-4qbUaA2KDdo4BpeMOWjqot9j6BYFXxKZ7xQAPeFA-b7Ztu22S1EbkChXDHQzdIZpt4f_OFDRdDNJNVEuUJBSspM5B-34W7DCwQyVGDP9uZceGxBSEvPikbEGpNx7iw_Bj/w374-h400/2023-09-29_16-14-22.jpg" width="374" /></a></div><div class="separator" style="clear: both; text-align: center;"><br /></div>Finally, we can reference the 3 different outflows from the Pond using Expression elements. Doing this makes it very clear to the reader of the model where the flows are going. This is good practice because it provides a schematic representation of water flows to the reader.</span></span></div><div style="box-sizing: border-box; font-variant-east-asian: normal; font-variant-numeric: normal; margin-bottom: 16px; margin-top: 0px;"><span style="color: #202020;"><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgGR2OT6ZUld-THI6pRVXhTIdVLgiEVeuccf_s1wS0SVKgomqn1umz1egt3P6TQcwtmvE_zt9EhO5CctQpKLgBAaI0CO8u7xasoaX3t9XBrh_9WJjCSrH5JpUHS3I_Nm3DTaYZZuJppYPWtpAHZq1dbR4NmNT6cskAEKzPjjeJQyQMJb00F89Vq5hHDUrdT/s980/2023-09-29_16-24-06.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="613" data-original-width="980" height="250" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgGR2OT6ZUld-THI6pRVXhTIdVLgiEVeuccf_s1wS0SVKgomqn1umz1egt3P6TQcwtmvE_zt9EhO5CctQpKLgBAaI0CO8u7xasoaX3t9XBrh_9WJjCSrH5JpUHS3I_Nm3DTaYZZuJppYPWtpAHZq1dbR4NmNT6cskAEKzPjjeJQyQMJb00F89Vq5hHDUrdT/w400-h250/2023-09-29_16-24-06.jpg" width="400" /></a></div><br /><span style="font-size: 18px;">The end result of this model is a Time History plot that shows the Pond volume compared to the target volume along with the inflow and outflows.</span></span></div><div style="box-sizing: border-box; font-variant-east-asian: normal; font-variant-numeric: normal; margin-bottom: 16px; margin-top: 0px;"><span style="color: #202020;"><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhdAfIgbbcxBFIBDo0no1e-mP3cu7qiy0SXlaWOFhD7KhBaCqcfLeIXBlhESdpkd6C-0767IgQ-IggNsAirzg6etadQeR2-lpCOoAf_40NRLHtN2nU37sU6eaJoy65Ci4oS_yuAQ7tzMhE2SYxXPQ2Xc7m3n4buQLFJvR8Mlw6E49z_YIUPfDCl6R2fH_u0/s1189/2023-09-29_15-56-27.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="798" data-original-width="1189" height="430" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhdAfIgbbcxBFIBDo0no1e-mP3cu7qiy0SXlaWOFhD7KhBaCqcfLeIXBlhESdpkd6C-0767IgQ-IggNsAirzg6etadQeR2-lpCOoAf_40NRLHtN2nU37sU6eaJoy65Ci4oS_yuAQ7tzMhE2SYxXPQ2Xc7m3n4buQLFJvR8Mlw6E49z_YIUPfDCl6R2fH_u0/w640-h430/2023-09-29_15-56-27.jpg" width="640" /></a></div><br /><span style="font-size: 18px;"><br /><div class="separator" style="clear: both; text-align: left;"><br /></div><div class="separator" style="clear: both; text-align: left;">You can download example models from our library that demonstrate the use of the Status element and modeling evaporation from here:</div><div class="separator" style="clear: both; text-align: left;"><ul style="text-align: left;"><li><a href="https://support.goldsim.com/hc/en-us/articles/115012527547-Reservoir-Discharge-Controlled-by-Status">Reservoir Discharge Controlled by Status – GoldSim Help Center</a></li><li><a href="https://support.goldsim.com/hc/en-us/articles/115013718507-Simple-Pond-Evaporation">Simple Pond Evaporation – GoldSim Help Center</a></li></ul></div><div class="separator" style="clear: both; text-align: left;"><br /></div><br /><span face=""Source Sans Pro", "Helvetica Neue", Helvetica, Roboto, Arial, sans-serif" style="background-color: white;"><br /></span></span></span></div>
GoldSimhttp://www.blogger.com/profile/18105288640248926754noreply@blogger.com0tag:blogger.com,1999:blog-8601426913066236591.post-55208996781683257092023-08-04T16:44:00.002-07:002023-08-04T16:44:32.221-07:00Best Practices for Modeling Interacting Ponds<div style="font-variant-east-asian: normal; font-variant-numeric: normal; margin: 0px;">
<span style="font-family: inherit;"><span><span style="color: black; display: inline; float: none; font-size: 16px;"><i>Posted by </i></span><a href="http://goldsimtech.blogspot.com/p/blog-contributors.html#Jason" style="font-variant-east-asian: normal; font-variant-numeric: normal;"><span style="color: black;"><b>Jason Lillywhite</b></span></a></span><br />
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<p><span style="color: #202020;"><span style="font-size: 18px;">A new demonstration video was posted that can help you improve complex water balance models. In this video, I demonstrate how we can more clearly show the flows within a complex network of ponds.</span></span></p><p><span style="color: #202020;"><span style="font-size: 18px;">I do this by comparing the difference between directly defining flows (see image on the left) and keeping actual flows separate from requests that drive the flows (see image on the right). Following these ideas can significantly improve the visualization of the system you are trying to model, especially when you have many flows being passed between components of your system.</span></span><a href="https://blogger.googleusercontent.com/img/a/AVvXsEglv7GLeajdfahVEE2cucEe3nlg_cIlchw8LAZ51rOHSienYUdt0UFUomGCB_KtD8-e5LD-R4ga5O8VOHt0X248yl9ksQdrKD565k-VHR2LJTXNcC8Lbd9j4vhb-u1jqUs1w7Xy1rBL9JDm4Aixwk37kIVNwWoKBi3JZe_UrHhL1kgmoiN_bK2-dxBtR2ps" style="margin-left: 1em; margin-right: 1em; text-align: center;"><img alt="" data-original-height="832" data-original-width="1278" height="416" src="https://blogger.googleusercontent.com/img/a/AVvXsEglv7GLeajdfahVEE2cucEe3nlg_cIlchw8LAZ51rOHSienYUdt0UFUomGCB_KtD8-e5LD-R4ga5O8VOHt0X248yl9ksQdrKD565k-VHR2LJTXNcC8Lbd9j4vhb-u1jqUs1w7Xy1rBL9JDm4Aixwk37kIVNwWoKBi3JZe_UrHhL1kgmoiN_bK2-dxBtR2ps=w640-h416" width="640" /></a></p><br />
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<span style="color: #202020;"><span style="font-size: 18px;"><span face=""Source Sans Pro", "Helvetica Neue", Helvetica, Roboto, Arial, sans-serif" style="background-color: white;">This model demonstrates how to simulate the process of coordinating 2 ponds to maintain a target volume in one of the ponds to provide a reliable water supply. This model is set up with initially problematic logic that creates rapid oscillations. This setup also creates influence lines that doesn't show the flow of water, making it difficult to understand the model.</span></span></span></div><div style="box-sizing: border-box; font-variant-east-asian: normal; font-variant-numeric: normal; margin-bottom: 16px; margin-top: 0px;"><span style="color: #202020;"><span style="font-size: 18px;"><div class="separator" style="clear: both; text-align: center;"><iframe allowfullscreen="" class="BLOG_video_class" height="266" src="https://www.youtube.com/embed/rPj4J69p9Ko" width="320" youtube-src-id="rPj4J69p9Ko"></iframe></div><div class="separator" style="clear: both; text-align: left;">You can download a copy of the model from here: <a href="https://support.goldsim.com/hc/en-us/articles/19239233351187">Drive Flows using Requests – GoldSim Help Center</a></div><div class="separator" style="clear: both; text-align: left;"><br /></div><br /><span face=""Source Sans Pro", "Helvetica Neue", Helvetica, Roboto, Arial, sans-serif" style="background-color: white;"><br /></span></span></span></div>
GoldSimhttp://www.blogger.com/profile/18105288640248926754noreply@blogger.com0tag:blogger.com,1999:blog-8601426913066236591.post-81827247527099219232023-07-31T15:18:00.004-07:002023-07-31T15:18:53.810-07:00In-Person GoldSim Training - September 13, 2023<div style="font-variant-east-asian: normal; font-variant-numeric: normal; margin: 0px;">
<span style="font-family: inherit;"><span><span style="color: black; display: inline; float: none; font-size: 16px;"><i>Posted by </i></span><a href="http://goldsimtech.blogspot.com/p/blog-contributors.html#Jason" style="font-variant-east-asian: normal; font-variant-numeric: normal;"><span style="color: black;"><b>Jason Lillywhite</b></span></a></span><br />
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<p style="text-align: left;"><span style="background-color: white; color: #202020; font-family: "Source Sans Pro", "Helvetica Neue", Helvetica, Roboto, Arial, sans-serif; font-size: 18px;">I will be teaching a 1-day hands-on GoldSim training course at the upcoming Arizona Hydrological Society's Annual Symposium on September 13 in Flagstaff Arizona. Visit their conference website for more information: </span><a href="https://ahssymposium.org/2023/program/goldsim-workshop/" rel="nofollow noreferrer" style="background-color: white; border-bottom: 2px solid rgb(254, 193, 13); box-sizing: border-box; color: #202020; font-family: "Source Sans Pro", "Helvetica Neue", Helvetica, Roboto, Arial, sans-serif; font-size: 18px; font-weight: 600; padding-bottom: 1px; text-decoration-line: none;">GoldSim Workshop – 2023 AHS Symposium</a><span style="background-color: white; color: #202020; font-family: "Source Sans Pro", "Helvetica Neue", Helvetica, Roboto, Arial, sans-serif; font-size: 18px;">. We hope to see you there!</span></p><br />
<div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjdJw4sx2j6br7CcUe780CpOPlUDOu6H2zhGRDSOGY9aKaPtWmLpKA_uSf51jxaytiSSRh41QVV7YYDIhbkirvK2GyX8wWo7uTO7T6zegr0EsxxVtOjmFl_zd87DZvd3RFh4cg11sU_Tk6DwXPxHHIAgi_nNB9CvfBFS5CYXnVHfm-BXYLxWTlJn-9fP5V2/s977/goldsimScreen.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="527" data-original-width="977" height="346" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjdJw4sx2j6br7CcUe780CpOPlUDOu6H2zhGRDSOGY9aKaPtWmLpKA_uSf51jxaytiSSRh41QVV7YYDIhbkirvK2GyX8wWo7uTO7T6zegr0EsxxVtOjmFl_zd87DZvd3RFh4cg11sU_Tk6DwXPxHHIAgi_nNB9CvfBFS5CYXnVHfm-BXYLxWTlJn-9fP5V2/w640-h346/goldsimScreen.png" width="640" /></a></div><br />
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<span style="color: #202020;"><span style="font-size: 18px;"><span style="background-color: white; font-family: "Source Sans Pro", "Helvetica Neue", Helvetica, Roboto, Arial, sans-serif;">This hands-on training session is designed for engineers and scientists involved in dynamic modeling and decision support for water resources applications. The focus will be on dynamic simulation and modeling techniques for incorporating uncertainty and evaluating system performance with multiple objectives. We will use GoldSim software during the class to facilitate learning the concepts. Through hands-on examples, you will practice building your own water management model with a custom user interface, data input, model functions, and result processing for evaluating climate uncertainty and its impact on water quality and quantity of a typical water system. In addition, you will be introduced to scenario analysis, optimization, and results post-processing.</span></span></span></div>
GoldSimhttp://www.blogger.com/profile/18105288640248926754noreply@blogger.com0tag:blogger.com,1999:blog-8601426913066236591.post-26924070002463374592023-03-08T12:36:00.004-08:002023-03-08T12:39:05.084-08:00Improve Workflow with Shortcut Keys in GoldSim<i style="font-family: "Trebuchet MS", sans-serif;">Posted by <a href="http://goldsimtech.blogspot.com/p/blog-contributors.html#Jason">Jason Lillywhite</a></i><br /><div><div class="separator" style="clear: both; text-align: center;"><div class="separator" style="clear: both; text-align: left;"><br /></div><div class="separator" style="clear: both; text-align: left;">The graphical features of the GoldSim user interface are highly intuitive and easy to use, making it one of the most popular simulation software tools available today. The user-friendly interface allows even novice users to quickly and easily create models, organize their elements into containers, and navigate through them using the built-in browser and navigation tools. With its intuitive interface, GoldSim allows users to focus on the task at hand rather than on the software, which ultimately leads to better results and improved productivity.</div><div class="separator" style="clear: both; text-align: center;"><br /></div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh498U56kvai_ZbiB4hJ4Nf-c5DoiYi4QvwaT8jTgqv020sIXzXC2TaEm51rt30rhTXBZKIR8oHvP1HNQsCiu7Pc4mDnNZ6gIL9hyYY483jVLKuhW4xTWJa42tUJZDFHpAhlPan7zcpfRaKwjeA9pCwMoVzPo2w90lpChD84UazQoduQZaONA0J_JF9sA/s4400/Picture1%20(1).jpg" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="2043" data-original-width="4400" height="298" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh498U56kvai_ZbiB4hJ4Nf-c5DoiYi4QvwaT8jTgqv020sIXzXC2TaEm51rt30rhTXBZKIR8oHvP1HNQsCiu7Pc4mDnNZ6gIL9hyYY483jVLKuhW4xTWJa42tUJZDFHpAhlPan7zcpfRaKwjeA9pCwMoVzPo2w90lpChD84UazQoduQZaONA0J_JF9sA/w640-h298/Picture1%20(1).jpg" width="640" /></a></div><br /><div class="separator" style="clear: both; text-align: left;">But did you know that there are many shortcut keys available that can make your modeling experience even smoother and more efficient? In this blog article, we'll explore some useful shortcut keys in GoldSim. Whether you're a seasoned GoldSim user or just starting out, these shortcuts are sure to save you time and make your modeling experience more enjoyable.</div></div></div><div><a name='more'></a><p style="clear: both; text-align: left;">See a list of all of our shortcuts here: <a href="https://support.goldsim.com/hc/en-us/articles/215240768">Shortcut Keys in GoldSim – GoldSim Help Center</a></p><h3 style="clear: both; text-align: left;">Switching Between Dashboard Views (Ctrl-D)</h3><div class="separator" style="clear: both; text-align: left;">Within GoldSim, a Dashboard can be in one of two views: Design view and Active view. When you are creating and editing your Dashboards, you will generally be in Design view. Within this view, you can add, resize and edit controls, and add other objects (e.g., images and text) to your Dashboard.</div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgoOGmNmnt4eNt3oMNx2IdjSkswmpHnTmOQML3_OyJ3hK77JJ8-wGifBiqKY5yErCq5Pk7C2ukUGpkrMXS5TsdeCgZY-3dYmAUWW9gVw_T3srAPfjeQsJrenTgQ47-dPH0UqgrmUkUVL2bBkh9e_6meQd2yQyVpeqJKUM4HnZUjzrrp1cH3Z7vc7PePpg/s4400/Picture2.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="1327" data-original-width="4400" height="194" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgoOGmNmnt4eNt3oMNx2IdjSkswmpHnTmOQML3_OyJ3hK77JJ8-wGifBiqKY5yErCq5Pk7C2ukUGpkrMXS5TsdeCgZY-3dYmAUWW9gVw_T3srAPfjeQsJrenTgQ47-dPH0UqgrmUkUVL2bBkh9e_6meQd2yQyVpeqJKUM4HnZUjzrrp1cH3Z7vc7PePpg/w640-h194/Picture2.png" width="640" /></a></div><br /><div class="separator" style="clear: both; text-align: left;"><br /></div><div class="separator" style="clear: both; text-align: left;">You may find yourself frequently switching between Design view and Active view in Dashboards. This can be done using the Dashboard Active button in the Dashboard toolbar or by right-clicking inside the Dashboard and selecting Dashboard Active from the context menu. However, did you know that there is a faster way to toggle between these views? By using the keyboard shortcut Ctrl-D, you can easily switch between Design view and Active view without ever having to touch your mouse.</div></div><h3 style="clear: both; text-align: left;">Entering a Container (Ctrl+double-click)</h3><div>Containers are an essential tool for managing, organizing, and viewing elements in GoldSim. A Container is simply a "box" into which other elements have been placed, and any number of levels of containment can be created. Containers in a model are easily identified in the graphics pane: they all have a small triangle in their upper left-hand corner. You can click the triangle to "enter" a Container.</div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiOopI5seDmg8022CAcSU0w_EE6nNTv_tYfLslVb__MQwi9ztnMzU00bgUPYiocJkU04ncUG6B93HXiQLSKyGR72djwasoBalMByXyQEr3nZNc0AXPq_6gmBHvBlMyk1-XG_6sjktshTLU4OkCBhvp-C8wCBPL1UrLtTZGsWdD5kQXZgyIwr2_AcGF03w/s295/2023-03-08_11-14-22.jpg" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="155" data-original-width="295" height="105" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiOopI5seDmg8022CAcSU0w_EE6nNTv_tYfLslVb__MQwi9ztnMzU00bgUPYiocJkU04ncUG6B93HXiQLSKyGR72djwasoBalMByXyQEr3nZNc0AXPq_6gmBHvBlMyk1-XG_6sjktshTLU4OkCBhvp-C8wCBPL1UrLtTZGsWdD5kQXZgyIwr2_AcGF03w/w200-h105/2023-03-08_11-14-22.jpg" width="200" /></a></div><br /><div>Another way to navigate into the Container is using Ctrl+double-click. It could be a faster and more efficient way to navigate through the elements in your model compared to clicking on the small triangle in the upper left-hand corner of the container. </div><div><br /></div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhvpA7GFj0jGcfVKGED5wlEPGNEez-qV-vIFoM-Au0xuvtBA7OnxSf_NI6F1E10yqVQuiMQFGO9J93EeA7zmR1kv6Yvnf0HloBwa0wARPfjClSOkATbdnSIZSRYMqmPaUv3Fpu1UvFIF4Rxs8W1fgvcwV7fAj7kduaDpm3P_jBN5sex8RaAnBrxUSsYXQ/s850/2023-03-08_11-20-38.gif" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="536" data-original-width="850" height="202" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhvpA7GFj0jGcfVKGED5wlEPGNEez-qV-vIFoM-Au0xuvtBA7OnxSf_NI6F1E10yqVQuiMQFGO9J93EeA7zmR1kv6Yvnf0HloBwa0wARPfjClSOkATbdnSIZSRYMqmPaUv3Fpu1UvFIF4Rxs8W1fgvcwV7fAj7kduaDpm3P_jBN5sex8RaAnBrxUSsYXQ/s320/2023-03-08_11-20-38.gif" width="320" /></a></div><br /><div><br /></div><div><br /></div><h3 style="text-align: left;">Change Element Name (Ctrl-double-click)</h3><div>For those of you that always open the element properties dialog to edit the Element ID, you will find this shortcut a real time saver! This shortcut allows you to edit the Element name without having to navigate into a different window. Instead, just hold the Ctrl key then double click the element name as shown below.</div><div class="separator" style="clear: both; text-align: center;"><br /></div><br /><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgDap5X0yXI_vp7h__7NnRMnJpL83s9w0cNTsLxtp3NKGs1hu1f6hnnofGsdxzbCeL4C7Nod_vBNRRtT-4RKyDmgb-PZzuj-Wy1Uw83MiM4PA_tuQbHoCFxjVnelpEohawfQi0GyBZ048n2jEbALXoa-UYTU4-Y9ggdBctIzlGkDQoQplrMaiX04wIErw/s528/2023-03-08_12-07-48.gif" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="298" data-original-width="528" height="181" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgDap5X0yXI_vp7h__7NnRMnJpL83s9w0cNTsLxtp3NKGs1hu1f6hnnofGsdxzbCeL4C7Nod_vBNRRtT-4RKyDmgb-PZzuj-Wy1Uw83MiM4PA_tuQbHoCFxjVnelpEohawfQi0GyBZ048n2jEbALXoa-UYTU4-Y9ggdBctIzlGkDQoQplrMaiX04wIErw/s320/2023-03-08_12-07-48.gif" width="320" /></a></div><br /><div><br /></div><h3 style="text-align: left;">Navigation Shortcuts (Alt-Up/Down/Left/Right</h3><div>The shortcut keys for navigation in GoldSim, such as Alt-Left, Alt-Right, Alt-Home, Alt-Up or Alt-PgUp, can save time by allowing users to quickly move between different levels of the containment hierarchy in a model. Instead of having to use the navigation bar at the top of the graphics pane or the mouse to click on triangles to enter Containers, users can use these keyboard shortcuts to navigate through the model with fewer clicks and movements. This can help to increase efficiency and productivity, especially when working with large and complex models that contain many sub-groups or collections of elements. Below is a table listing each of the navigation shortcuts, from our <a href="https://help.goldsim.com/#!Modules/5/understandingcontainers.htm" target="_blank">Help Documentation</a>:</div><div><table border="1" cellpadding="0" cellspacing="0" class="MsoNormalTable" style="border-collapse: collapse; border-color: initial; border-image: initial !important; border-style: none; border-width: medium; border: medium none; color: #333333; font-family: "Source Sans Pro", "Helvetica Neue", Helvetica, Roboto, Arial, sans-serif; font-size: 18px; width: 432px;"><thead style="border: 5px solid white;"><tr><td style="background-color: #202020; border-collapse: separate; border-color: rgb(153, 153, 153); border-image: initial !important; border-style: solid; border-width: 1pt; border: 1pt solid rgb(153, 153, 153); color: white; line-height: 1.6; padding: 0pt; vertical-align: middle; width: 162pt;" valign="top" width="216"><p class="TableHeading" style="font-weight: 600; line-height: 1.6; margin: 0px;">Keys</p></td><td style="background-color: #202020; border-bottom-color: rgb(153, 153, 153); border-collapse: separate; border-image: initial; border-left-color: initial; border-right-color: rgb(153, 153, 153); border-style: solid solid solid none; border-top-color: rgb(153, 153, 153); border-width: 1pt 1pt 1pt medium; color: white; line-height: 1.6; padding: 0pt; vertical-align: middle; width: 162pt;" valign="top" width="216"><p class="TableHeading" style="font-weight: 600; line-height: 1.6; margin: 0px;">Action</p></td></tr></thead><tbody style="border: 5px solid white;"><tr><td style="background-color: #efefef; border-bottom-color: rgb(153, 153, 153); border-collapse: separate; border-image: initial; border-left-color: rgb(153, 153, 153); border-right-color: rgb(153, 153, 153); border-style: none solid solid; border-top-color: initial; border-width: medium 1pt 1pt; line-height: 1.6; padding: 0pt; width: 162pt;" valign="top" width="216"><p class="TableText" style="line-height: 1.6; margin: 0px;">Alt-Left</p></td><td style="background-color: #efefef; border-bottom-color: rgb(153, 153, 153); border-collapse: separate; border-image: initial; border-left-color: initial; border-right-color: rgb(153, 153, 153); border-style: none solid solid none; border-top-color: initial; border-width: medium 1pt 1pt medium; line-height: 1.6; padding: 0pt; width: 162pt;" valign="top" width="216"><p class="TableText" style="line-height: 1.6; margin: 0px;">Moves back to previously viewed Container.</p></td></tr><tr><td style="background-color: #efefef; border-bottom-color: rgb(153, 153, 153); border-collapse: separate; border-image: initial; border-left-color: rgb(153, 153, 153); border-right-color: rgb(153, 153, 153); border-style: none solid solid; border-top-color: initial; border-width: medium 1pt 1pt; line-height: 1.6; padding: 0pt; width: 162pt;" valign="top" width="216"><p class="TableText" style="line-height: 1.6; margin: 0px;">Alt-Right</p></td><td style="background-color: #efefef; border-bottom-color: rgb(153, 153, 153); border-collapse: separate; border-image: initial; border-left-color: initial; border-right-color: rgb(153, 153, 153); border-style: none solid solid none; border-top-color: initial; border-width: medium 1pt 1pt medium; line-height: 1.6; padding: 0pt; width: 162pt;" valign="top" width="216"><p class="TableText" style="line-height: 1.6; margin: 0px;">Moves forward (only active if you have already moved back).</p></td></tr><tr><td style="background-color: #efefef; border-bottom-color: rgb(153, 153, 153); border-collapse: separate; border-image: initial; border-left-color: rgb(153, 153, 153); border-right-color: rgb(153, 153, 153); border-style: none solid solid; border-top-color: initial; border-width: medium 1pt 1pt; line-height: 1.6; padding: 0pt; width: 162pt;" valign="top" width="216"><p class="TableText" style="line-height: 1.6; margin: 0px;">Alt-Home</p></td><td style="background-color: #efefef; border-bottom-color: rgb(153, 153, 153); border-collapse: separate; border-image: initial; border-left-color: initial; border-right-color: rgb(153, 153, 153); border-style: none solid solid none; border-top-color: initial; border-width: medium 1pt 1pt medium; line-height: 1.6; padding: 0pt; width: 162pt;" valign="top" width="216"><p class="TableText" style="line-height: 1.6; margin: 0px;">Moves up to the Model Root.</p></td></tr><tr><td style="background-color: #efefef; border-bottom-color: initial; border-collapse: separate; border-image: initial; border-left-color: rgb(153, 153, 153); border-right-color: rgb(153, 153, 153); border-style: none solid; border-top-color: initial; border-width: medium 1pt; line-height: 1.6; padding: 0pt; width: 162pt;" valign="top" width="216"><p class="TableText" style="line-height: 1.6; margin: 0px;">Alt-Up or Alt-PgUp</p></td><td style="background-color: #efefef; border-bottom-color: initial; border-collapse: separate; border-image: initial; border-left-color: initial; border-right-color: rgb(153, 153, 153); border-style: none solid none none; border-top-color: initial; border-width: medium 1pt medium medium; line-height: 1.6; padding: 0pt; width: 162pt;" valign="top" width="216"><p class="TableText" style="line-height: 1.6; margin: 0px;">Moves up one level.</p></td></tr></tbody></table></div><div><br /></div><div>As noted above, you can refer to <a href="https://support.goldsim.com/hc/en-us/articles/215240768" style="text-align: center;">Shortcut Keys in GoldSim – GoldSim Help Center</a> to see more shortcuts.</div><div><br /></div><div>In conclusion, using shortcut keys in GoldSim can greatly enhance your productivity and streamline your modeling process. With practice, these shortcuts can become second nature, saving you time and effort in the long run. Whether you're a beginner or an experienced GoldSim user, incorporating shortcut keys into your workflow can help you work more efficiently and effectively. So why not give them a try and see how they can help you improve your modeling experience?</div><div><br /></div><div>Also, if you have a favorite shortcut key(s), let us know in the comments below.</div><div class="separator" style="clear: both; text-align: left;"><br /></div>GoldSimhttp://www.blogger.com/profile/18105288640248926754noreply@blogger.com0tag:blogger.com,1999:blog-8601426913066236591.post-55866230756826243002023-02-27T09:07:00.007-08:002023-03-03T07:35:33.065-08:00GoldSim 14.0 Revision 2 Has Been Released<div style="font-variant-east-asian: normal; font-variant-numeric: normal; margin: 0px;">
<span style="font-family: inherit;"><span><span style="color: black; display: inline; float: none; font-size: 16px;"><i>Posted by </i></span><a href="http://goldsimtech.blogspot.com/p/blog-contributors.html#Jason" style="font-variant-east-asian: normal; font-variant-numeric: normal;"><span style="color: black;"><b>Jason Lillywhite</b></span></a></span><br />
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<br />This update includes a number of corrections, reliability improvements and general user-interface enhancements. All users are strongly advised to always use the latest Revision available. Anyone currently with access to GoldSim 14 has access to this Revision.<br /><br /><br />
<div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiivoh6qX0s6QsQK4LdAtD3nC3rH-olx1SyKX4SjPzrUZgw7-ZiM3v78lSsDTmqA_C_i7EhRrIw9lG8eWFVVaUHYmFJt9LmP_Z1yhtbHCeCWPTKUvuYK-S7Q2xcNXk6vw-m4yP5r9JlNgHzm_8qNDjCG-FO3v1Z2mexwG8Fkoi8B2P7nl9n9YCjYGpxLg/s3039/Picture1.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="480" data-original-width="3039" height="102" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiivoh6qX0s6QsQK4LdAtD3nC3rH-olx1SyKX4SjPzrUZgw7-ZiM3v78lSsDTmqA_C_i7EhRrIw9lG8eWFVVaUHYmFJt9LmP_Z1yhtbHCeCWPTKUvuYK-S7Q2xcNXk6vw-m4yP5r9JlNgHzm_8qNDjCG-FO3v1Z2mexwG8Fkoi8B2P7nl9n9YCjYGpxLg/w640-h102/Picture1.png" width="640" /></a></div><br /><div class="separator" style="clear: both; text-align: center;"><br /></div><br />
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<span style="color: #202020;"><span style="font-size: 18px;"><br /></span></span><span style="font-family: inherit;"><span color="rgba(0, 0, 0, 0.9)" style="background-color: white; font-size: medium;"><b>New Features</b></span></span></div><div style="box-sizing: border-box; font-variant-east-asian: normal; font-variant-numeric: normal; margin-bottom: 16px; margin-top: 0px;"><span style="font-family: inherit;"><span color="rgba(0, 0, 0, 0.9)" style="background-color: white;">While most of the changes to a Revision like this are transparent to the user, one will be noticeable. Starting with this version, the context-sensitive GoldSim Help system is web-based (rather than being installed with the software). This allows it to more readily be kept up-to-date (and the Help interface is also greatly improved).</span></span></div><div style="box-sizing: border-box; font-variant-east-asian: normal; font-variant-numeric: normal; margin-bottom: 16px; margin-top: 0px;"><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjJDpnL_WcRMePABn4LklX1jiKMlSvVkEm_NSrJwxk5iAMQYHWC_yerqvo-gsv0WL11ygMmZrxjYWn9fVrpTI76E8-Pmvy3PpVw4LAExU391MSzaqJRHPpdAJ81MGbDY6G-sozZ22E8S0rKRds7fcNcbV_LI_flaf5nZe-jhwwgt2PCJzTjL3R46198vw/s2327/2023-02-27_08-58-40.jpg" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="1100" data-original-width="2327" height="302" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjJDpnL_WcRMePABn4LklX1jiKMlSvVkEm_NSrJwxk5iAMQYHWC_yerqvo-gsv0WL11ygMmZrxjYWn9fVrpTI76E8-Pmvy3PpVw4LAExU391MSzaqJRHPpdAJ81MGbDY6G-sozZ22E8S0rKRds7fcNcbV_LI_flaf5nZe-jhwwgt2PCJzTjL3R46198vw/w640-h302/2023-02-27_08-58-40.jpg" width="640" /></a></div><br /><span style="font-family: inherit;"><br style="background-color: white; box-sizing: inherit; color: rgba(0, 0, 0, 0.9); line-height: inherit;" /><span color="rgba(0, 0, 0, 0.9)" style="background-color: white;">Another important change was implemented, but it will not be immediately noticeable. In particular, starting with this Revision, GoldSim will easily allow you to check for updates via a menu option, and will even optionally automatically periodically check for such updates in a non-intrusive manner by putting a small note in the splash screen.</span></span></div><div style="box-sizing: border-box; font-variant-east-asian: normal; font-variant-numeric: normal; margin-bottom: 16px; margin-top: 0px;"><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjrzeqHMr-CXUhGcAugHMccR2j_NZ4BQhBwwrtBeTJ2l5mpPLC-UgFQ7bfX-Ux3Nl6fCfcfgm3HMuC4iLRRfcNulzIEtfbHG7JXnwG1dFvX_xX4BeDmUleqMNwzdnWDKDfHTwtYwLtjnddNa7-apuQNSyhHC39fpBt0JE4eZVbn7AOZ9nYhyTeHqjugvw/s936/2023-02-27_09-00-34.jpg" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="616" data-original-width="936" height="264" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjrzeqHMr-CXUhGcAugHMccR2j_NZ4BQhBwwrtBeTJ2l5mpPLC-UgFQ7bfX-Ux3Nl6fCfcfgm3HMuC4iLRRfcNulzIEtfbHG7JXnwG1dFvX_xX4BeDmUleqMNwzdnWDKDfHTwtYwLtjnddNa7-apuQNSyhHC39fpBt0JE4eZVbn7AOZ9nYhyTeHqjugvw/w400-h264/2023-02-27_09-00-34.jpg" width="400" /></a></div><br /><span style="font-family: inherit;"><br style="background-color: white; box-sizing: inherit; color: rgba(0, 0, 0, 0.9); line-height: inherit;" /><br style="background-color: white; box-sizing: inherit; color: rgba(0, 0, 0, 0.9); line-height: inherit;" /><span color="rgba(0, 0, 0, 0.9)" style="background-color: white;">The process of updating to this Revision will take only a few minutes. You can download this update <a href="https://www.goldsim.com/Web/Customers/Downloads/GoldSim/Latest/" target="_blank">here</a></span><span color="rgba(0, 0, 0, 0.9)" style="background-color: white;">. You can also view the Release Notes to see a description of the changes there.</span></span></div><div style="box-sizing: border-box; font-variant-east-asian: normal; font-variant-numeric: normal; margin-bottom: 16px; margin-top: 0px;"><span style="font-family: inherit;"><span color="rgba(0, 0, 0, 0.9)" style="background-color: white;">You will also find a direct link to our online courses from the Help menu.</span></span></div><div style="box-sizing: border-box; font-variant-east-asian: normal; font-variant-numeric: normal; margin-bottom: 16px; margin-top: 0px;"><span style="font-family: inherit;"><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg4XIf4elzY5JrOLkgtiXUAB-FNsXuID_5uDNKOm6k1uzxvbBNuFKot5sJO4gQcgwccOZ6FwOFKA8R7tZb-H67j5h_pMJ2jjH6F6p-iULHcRxhUKv2xH2XeIW_iYieQws7ok8ppyetxwJL1Sp9gPIHx9zm-zMxnIbQAPc7otRrxQIpGHE-pQdtm4MIooQ/s1019/2023-02-27_09-03-20.jpg" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="362" data-original-width="1019" height="143" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg4XIf4elzY5JrOLkgtiXUAB-FNsXuID_5uDNKOm6k1uzxvbBNuFKot5sJO4gQcgwccOZ6FwOFKA8R7tZb-H67j5h_pMJ2jjH6F6p-iULHcRxhUKv2xH2XeIW_iYieQws7ok8ppyetxwJL1Sp9gPIHx9zm-zMxnIbQAPc7otRrxQIpGHE-pQdtm4MIooQ/w400-h143/2023-02-27_09-03-20.jpg" width="400" /></a></div><br /><span color="rgba(0, 0, 0, 0.9)" style="background-color: white;"><br /></span></span></div>
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Minor Bug Fixes</span></h2>
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We are always improving GoldSim and whenever a bug is found, we make it our top priority to fix them as time permits. This update includes some minor bug fixes that we caught (or our customers caught) since the last update. These don't need special mention but if you are curious, you can always read about them in our <a href="https://www.goldsim.com/Downloads/Software/RelNotes.htm" target="_blank">Release Notes</a>.</span></div>
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GoldSimhttp://www.blogger.com/profile/18105288640248926754noreply@blogger.com0tag:blogger.com,1999:blog-8601426913066236591.post-50865577140123658652022-11-30T22:59:00.002-08:002022-12-01T15:44:50.301-08:00Linking GoldSim to Python-Enabled Excel<i style="font-family: "Trebuchet MS", sans-serif;">Posted by <a href="http://goldsimtech.blogspot.com/p/blog-contributors.html#Jason">Jason Lillywhite</a></i><br /><div class="separator" style="clear: both; text-align: center;"><div class="separator" style="clear: both; text-align: center;"><br /></div></div><div>I recently presented a webinar called "Effectively Working with Excel", demonstrating some of GoldSim's Excel interface features. In addition to demonstrating how GoldSim can import/export data, I also talked about how GoldSim can dynamically interact with Excel during a simulation. One of the attendees asked me if GoldSim will wait for user-defined functions to be called by external programs, DLLs, or scripts used by Excel before reading in values from Excel. At the time, I didn't have a ready answer because I couldn't think of a time that I've actually seen this done. <div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/a/AVvXsEiBAz3MVeXYCb5FZ9JTj9Bt6krSmR03kndyHsN5MgVEsfR2_Vosct5RvURb158tBnpdeFdqWdQsYUiRfTb_mDXbkxGfpfQKNoDof1wuKqeWL3GlLKsBDy-E6EVQ3h85HCHP08TcLZa1O1wcB5pm5C1UQz6crpOGrQtrlc5P6mAxfL9uL7mQyr-SZCcYFA" style="margin-left: 1em; margin-right: 1em;"><img alt="" data-original-height="138" data-original-width="619" height="71" src="https://blogger.googleusercontent.com/img/a/AVvXsEiBAz3MVeXYCb5FZ9JTj9Bt6krSmR03kndyHsN5MgVEsfR2_Vosct5RvURb158tBnpdeFdqWdQsYUiRfTb_mDXbkxGfpfQKNoDof1wuKqeWL3GlLKsBDy-E6EVQ3h85HCHP08TcLZa1O1wcB5pm5C1UQz6crpOGrQtrlc5P6mAxfL9uL7mQyr-SZCcYFA" width="320" /></a></div></div><div><br /></div><div>To answer his question, I built a simple GoldSim model that interfaces with an Excel file and this Excel file relies on user-defined functions written in a Python script. I thought this example might also be useful for a wider audience, so I decided to blog about it.<br />
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<a name='more'></a><div class="separator" style="clear: both; text-align: left;">I originally built this simple model to demonstrate how GoldSim interacts with Excel when Excel is relying on external tools to perform calculations and return the results back to GoldSim. The method I chose was to use a Python library that easily interacts with Excel and also allows you to reference user-defined functions that are written in a Python script. Though there are multiple ways to do this, I decided to use the library called xlwings, which you can read more about here: <a href="https://www.xlwings.org/">Automate Excel with Python (Open Source and Free) (xlwings.org)</a>.</div></div><div class="separator" style="clear: both; text-align: left;"><br /></div><div class="separator" style="clear: both; text-align: left;">One potential limitation of this approach is significant increases in model runtime. The main reason for this is that GoldSim must open Excel and read/write to a spreadsheet during a simulation. If you want to interact with the spreadsheet many times during a GoldSim model simulation, you might see significant increases due to the time required to interact with Excel. But if you are using Excel mainly for pre or post processing, it shouldn't be an issue. </div><div class="separator" style="clear: both; text-align: left;"><br /></div><div class="separator" style="clear: both; text-align: left;">Using the xlwings library, I was able to quickly build a script that defines a custom function, callable in cell expressions in an Excel file. Once I had xlwings installed, it was just a matter of some file configuration and basic model structure to get it working. Then I was able to get GoldSim to send arguments to these functions and import the result back. This could all be accomplished behind the scenes during a GoldSim simulation. I was pretty excited when I starting to think about how easy this was to get Python scripts that work seamlessly with a spreadsheet. </div><div class="separator" style="clear: both; text-align: left;"><br /></div><div class="separator" style="clear: both; text-align: left;">Below is a list of tools I used and to develop this model. If you choose to test and use it, please make sure to carefully review the versions listed below and compare them to what you are using. There is a link at the bottom of this blog post for downloading the model files I used for this tutorial.</div><div class="separator" style="clear: both; text-align: left;"><br /></div><div class="separator" style="clear: both; text-align: left;">Tools used:</div><div class="separator" style="clear: both; text-align: left;"><ul style="text-align: left;"><li>GoldSim 14.0 R1 #383</li><li>MS Excel (Office version 2210)</li><li>Python 3.9.0</li><li>xlwings version: 0.28.5</li><li>xlwings Excel add-in</li></ul><div class="separator" style="clear: both; text-align: left;"><br /></div>The following files are used to run the model and they must be saved in the same directory. The Python file must have the same name as the Excel file but this can be customized later.</div><div class="separator" style="clear: both; text-align: left;"><ul style="text-align: left;"><li>GoldSim Excel Python.gsm</li><li>myproject.xlsm</li><li>myproject.py </li></ul></div><div class="separator" style="clear: both; text-align: left;"><br /></div><div class="separator" style="clear: both; text-align: left;">The GoldSim model, as shown in the screen capture below, contains 2 inputs that are exported to Excel. These are defined as Data elements A and B, which are linked to a Spreadsheet element, called "Excel_Interface". </div><div class="separator" style="clear: both; text-align: left;"><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/a/AVvXsEi_DJxlVWWdxBD82F9_8RQfztP5akSO0RtYMkLdZAe9nOFSEVBdI0uS2W8W7AjW0WfTWtyJ-zyv8dnh_NwlPjPUig6Twik3OBC2rhv9ChmgtQ7itt7Ta_LCde8T3H2-601hZCp6FB2Ji8Rxv-di87AgCKK7Gk7yRbDJk6m0N1kYHyxHSfjySsbTp9e3jg" style="margin-left: 1em; margin-right: 1em;"><img alt="" data-original-height="777" data-original-width="1201" height="207" src="https://blogger.googleusercontent.com/img/a/AVvXsEi_DJxlVWWdxBD82F9_8RQfztP5akSO0RtYMkLdZAe9nOFSEVBdI0uS2W8W7AjW0WfTWtyJ-zyv8dnh_NwlPjPUig6Twik3OBC2rhv9ChmgtQ7itt7Ta_LCde8T3H2-601hZCp6FB2Ji8Rxv-di87AgCKK7Gk7yRbDJk6m0N1kYHyxHSfjySsbTp9e3jg=w320-h207" width="320" /></a></div><br /><br /></div><div class="separator" style="clear: both; text-align: left;"><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/a/AVvXsEiPwoDnncFDz4_FKbJduaMsIuTXzWUmppTI7WGNsRVrREx5DYCyjLvwM5ZNv-7Hr22BfPJ4DIS4Aym7ygGKsKYHMTKp-9-wDtOu9TR2H6N-uvND1xPJVNBV-UVK15qqhfCx-xXpcDqTXlMsrAIZVMFNPiKKRhG0peWpiSkxr-AgAnTkDf02OyldGuPlhA" style="margin-left: 1em; margin-right: 1em;"><img alt="" data-original-height="344" data-original-width="499" height="221" src="https://blogger.googleusercontent.com/img/a/AVvXsEiPwoDnncFDz4_FKbJduaMsIuTXzWUmppTI7WGNsRVrREx5DYCyjLvwM5ZNv-7Hr22BfPJ4DIS4Aym7ygGKsKYHMTKp-9-wDtOu9TR2H6N-uvND1xPJVNBV-UVK15qqhfCx-xXpcDqTXlMsrAIZVMFNPiKKRhG0peWpiSkxr-AgAnTkDf02OyldGuPlhA" width="320" /></a></div><br /><br /></div><div class="separator" style="clear: both; text-align: left;">The Spreadsheet element is configured to wait for Excel to recalculate before importing spreadsheet data. This is done by checking the boxes as shown below.</div><div class="separator" style="clear: both; text-align: left;"><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiqO4xe0mHiU60FVp7OLHOocpCdnux-HuTsTX_WUq9p9A93SkzqLzud-spNwY4fVzeHYA82TtZmwqG9tiY54-e-Y7-1iIL6VSOitCG7c5cx_C0A0256Y2qVW3UT5h3f6kqjrriQ6ajnPRyuzojJIlk4nQXbDnqRa7AmPkZ7xaaB26GNi5OMGMvJUdVozQ/s1330/2022-11-30_16-24-43.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="644" data-original-width="1330" height="310" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiqO4xe0mHiU60FVp7OLHOocpCdnux-HuTsTX_WUq9p9A93SkzqLzud-spNwY4fVzeHYA82TtZmwqG9tiY54-e-Y7-1iIL6VSOitCG7c5cx_C0A0256Y2qVW3UT5h3f6kqjrriQ6ajnPRyuzojJIlk4nQXbDnqRa7AmPkZ7xaaB26GNi5OMGMvJUdVozQ/w640-h310/2022-11-30_16-24-43.png" width="640" /></a></div><div class="separator" style="clear: both; text-align: center;"><br /></div><div class="separator" style="clear: both; text-align: left;">The Spreadsheet element, "Excel_Interface" exchanges data between GoldSim and Excel at the beginning of the simulation and each time the variables A and/or B change. Something to note about the "Recalculate in Excel during simulation" setting:</div><div class="separator" style="clear: both; text-align: left;"><div class="separator" style="clear: both;"><ul style="text-align: left;"><li>Regardless of the Recalculate in Excel during simulation setting, by default, Excel will recalculate whenever cell values change. As pointed out below, however, GoldSim will only retrieve the updated data if Recalculate in Excel during simulation is selected. You can change this setting in Excel (so it does not automatically recalculate) in the Calculation tab of Excel's Options dialog.</li><li>The Recalculate in Excel during simulation setting does two things: 1) it forces Excel to recalculate, and 2) it retrieves the recalculated data back into GoldSim. Hence, if the Recalculate in Excel during simulation setting is off, GoldSim will not retrieve updated data from the spreadsheet, even if some cells have changed (and Excel automatically recalculated).</li></ul></div></div><div class="separator" style="clear: both; text-align: left;">MS Excel is configured to trust access to the VBA project object model as shown below. Note this is <i>not</i> the default setting for Excel so please consider any risks of making this selection. I decided to enable this setting for the purposes of running this example but will disable it afterwards.</div></div><div class="separator" style="clear: both; text-align: left;"><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/a/AVvXsEjWLixEZZBmCYWjkE38cZNgMHeY55zT9OS9FP4SowvmjrOjA3rQQ74pOSLWe13XH_M80rJBpZAokbKuCUar8_iw4m1vnviCP7xI831Zq7pmNxB2cELlUWMYxINNWZbXRi04j3Eti22GrnmR-l8fJ6Q4KDcMO_9ZJGjWt7p3VHF6sVsZlG37c8Moli8gpQ" style="margin-left: 1em; margin-right: 1em;"><img alt="" data-original-height="480" data-original-width="1007" height="306" src="https://blogger.googleusercontent.com/img/a/AVvXsEjWLixEZZBmCYWjkE38cZNgMHeY55zT9OS9FP4SowvmjrOjA3rQQ74pOSLWe13XH_M80rJBpZAokbKuCUar8_iw4m1vnviCP7xI831Zq7pmNxB2cELlUWMYxINNWZbXRi04j3Eti22GrnmR-l8fJ6Q4KDcMO_9ZJGjWt7p3VHF6sVsZlG37c8Moli8gpQ=w640-h306" width="640" /></a></div><br />By enabling this setting, you will now see the xlwings settings tab in the Excel ribbon.</div><div class="separator" style="clear: both; text-align: left;"><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/a/AVvXsEi6tXKxWcsRF597jNqdXk_L-S6DfkEcnJTH3t9FYYebWzYb3ttisQBEo29mulxFOaeOTTV7-di-AN_PppB1rw2kSID3_PcDUNo_aaduOMoTjzjX6KLvjX2lQ0FrB1S81DQS1Ws4HSTP7naxnFQ5V6ZSK42SwWYhtwfRACYTA28ML4InIu7MyCH1HsoNOw" style="margin-left: 1em; margin-right: 1em;"><img alt="" data-original-height="424" data-original-width="1325" height="204" src="https://blogger.googleusercontent.com/img/a/AVvXsEi6tXKxWcsRF597jNqdXk_L-S6DfkEcnJTH3t9FYYebWzYb3ttisQBEo29mulxFOaeOTTV7-di-AN_PppB1rw2kSID3_PcDUNo_aaduOMoTjzjX6KLvjX2lQ0FrB1S81DQS1Ws4HSTP7naxnFQ5V6ZSK42SwWYhtwfRACYTA28ML4InIu7MyCH1HsoNOw=w640-h204" width="640" /></a></div><br /><br /></div><div class="separator" style="clear: both; text-align: left;">The next step is to write a Python script that defines a custom function. For my example, I define a function called double_sum(). This is the function I will call from inside the Excel file. You can read more about how this is done here: <a href="https://docs.xlwings.org/en/stable/quickstart.html">Quickstart - xlwings Documentation</a></div><div class="separator" style="clear: both; text-align: left;"><br /></div><div class="separator" style="clear: both; text-align: left;"><pre style="background: rgb(248, 249, 249); border-radius: 3px; border: 1px solid rgb(194, 200, 204); color: #68737d; font-family: Consolas, "Liberation Mono", Menlo, "Bitstream Vera Sans Mono", Courier, monospace; font-size: 12.025px; line-height: 19px; margin-bottom: 15px; margin-top: 15px; outline: 0px; overflow-wrap: break-word; padding: 6px 10px; vertical-align: baseline; white-space: pre-wrap; word-break: break-all;"><code style="background: none; border-radius: 3px; border: 0px; color: inherit; font-family: Consolas, "Liberation Mono", Menlo, "Bitstream Vera Sans Mono", Courier, monospace; font-size: 12px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline; word-break: break-word;">import xlwings as xw <br /><br />def main(): <br /> wb = xw.Book.caller() <br /><br />@xw.func <br />def double_sum(x, y): <br /> """Returns twice the sum of the two arguments""" <br /> return 2 * (x + y) <br /><br /><br />if __name__ == "__main__": <br /> xw.Book("myproject.xlsm").set_mock_caller() <br /> main()</code></pre></div><div class="separator" style="clear: both; text-align: left;"><br /></div><div class="separator" style="clear: both; text-align: left;">Below is a screen capture of the Excel spreadsheet (sheet1) of the file called "myproject.xlsm" along with the custom function defined in the Python script called "double_sum()". Before using the function in Excel, make sure to click on the Import Functions button so it can be used.</div><div class="separator" style="clear: both; text-align: left;"><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/a/AVvXsEi0XojNYR5Of30KuoAJyrORy7e8IdAOXRhJHPoAGXpGXfqiTkxQecaabGy36bHc6nkFYv3tXcGfOC5yhePqxk2CKHkBeb91gy0NqocvuZiLE2DCVv76mE2oNCkaQuNugJcV2m2T0YCS7s_TiAJG_4GbLXqtCgdKAZ-dvZH6Q6OdIKL-d60zR4RsmIxLvw" style="margin-left: 1em; margin-right: 1em;"><img alt="" data-original-height="420" data-original-width="1028" height="164" src="https://blogger.googleusercontent.com/img/a/AVvXsEi0XojNYR5Of30KuoAJyrORy7e8IdAOXRhJHPoAGXpGXfqiTkxQecaabGy36bHc6nkFYv3tXcGfOC5yhePqxk2CKHkBeb91gy0NqocvuZiLE2DCVv76mE2oNCkaQuNugJcV2m2T0YCS7s_TiAJG_4GbLXqtCgdKAZ-dvZH6Q6OdIKL-d60zR4RsmIxLvw=w400-h164" width="400" /></a></div><br /><br /></div><div class="separator" style="clear: both; text-align: left;"><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/a/AVvXsEjfOvP7DmmbOpVWF3wim83DiwBcVSOYL0gMqnSA-A7GL6hWV94Hn5bjjKWvBMNCv09O8Q80kgCH-oWHQkfupokKRejXtOACHe02GbN4aGMvLRNVIZ-DPVO_JUwOQAvcySWu9iH2_GbsIDFXxIqWlL0jQNzYZIoSb1fkzkUblLyrOBGhe5IMIfI4cw95ng" style="margin-left: 1em; margin-right: 1em;"><img alt="" data-original-height="377" data-original-width="705" height="171" src="https://blogger.googleusercontent.com/img/a/AVvXsEjfOvP7DmmbOpVWF3wim83DiwBcVSOYL0gMqnSA-A7GL6hWV94Hn5bjjKWvBMNCv09O8Q80kgCH-oWHQkfupokKRejXtOACHe02GbN4aGMvLRNVIZ-DPVO_JUwOQAvcySWu9iH2_GbsIDFXxIqWlL0jQNzYZIoSb1fkzkUblLyrOBGhe5IMIfI4cw95ng" width="320" /></a></div><br />After you import the function from the Python script, you can use it like any other function in Excel. This output (cell B7) is what GoldSim imports after the value gets updated.</div><div class="separator" style="clear: both; text-align: left;"><br /></div><div class="separator" style="clear: both; text-align: left;">This type of setup could be useful in some scenarios where you need to rely heavily on Python scripts for functions and Excel for the data along with a GoldSim model to carryout simulations using the Excel values that these python functions calculate.</div><div class="separator" style="clear: both; text-align: left;"><br /></div><div class="separator" style="clear: both; text-align: left;">Even though it seems like a lot of complexity just to get a custom function, but it is nice to know that with very little effort, you can quickly start leveraging some of Python's data analysis libraries to support GoldSim models in a more efficient way. </div><div class="separator" style="clear: both; text-align: left;"><br /></div><div class="separator" style="clear: both; text-align: left;">Here is a link to download the model files: <a href="https://support.goldsim.com/hc/en-us/articles/11760718473363">Link Spreadsheet with User-Defined Functions – GoldSim Help Center</a></div><div class="separator" style="clear: both; text-align: left;"><br /></div><div class="separator" style="clear: both; text-align: left;">Alternatively, you could look into GoldSim's example model that interfaces directly with Python using Embedded Python and a compiled DLL. Read more about this example here: <a href="https://support.goldsim.com/hc/en-us/articles/360060203434-GSPy-GoldSim-Python-Interface-for-Scripting-Support">GSPy: GoldSim/Python Interface for Scripting Support – GoldSim Help Center</a>. The benefit of this approach is removing the Excel component and thus decreasing model runtime significantly. </div><div>
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<div class="separator" style="clear: both; text-align: center;"><br /><br /></div></div>GoldSimhttp://www.blogger.com/profile/18105288640248926754noreply@blogger.com0tag:blogger.com,1999:blog-8601426913066236591.post-19007177034846645682022-03-30T15:17:00.009-07:002022-03-30T16:19:04.463-07:00Simulating Precipitation with Long-Term Droughts<i style="font-family: "Trebuchet MS", sans-serif;">Posted by <a href="http://goldsimtech.blogspot.com/p/blog-contributors.html#Jason">Jason Lillywhite</a></i><br />
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<div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhCQ7G9VP9elfHyZUGft5ThLm00PONJubGx0smZwl2zhizxzE1lMBAF9HsuFiNSHHnQTyMxsEyn5z9gLt56WJyii0cXxrcihrjV962IquKqk-ljlAv5nr3pDI4AKjpFR6Ep7oLZwu7swXfeLq6eSWmEQ1JcUURD08L3xj9ds7P4Xa7nB2yxSlvV8Ix1kQ/s525/2022-03-30_13-44-38.png" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" data-original-height="525" data-original-width="484" height="320" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhCQ7G9VP9elfHyZUGft5ThLm00PONJubGx0smZwl2zhizxzE1lMBAF9HsuFiNSHHnQTyMxsEyn5z9gLt56WJyii0cXxrcihrjV962IquKqk-ljlAv5nr3pDI4AKjpFR6Ep7oLZwu7swXfeLq6eSWmEQ1JcUURD08L3xj9ds7P4Xa7nB2yxSlvV8Ix1kQ/s320/2022-03-30_13-44-38.png" width="295" /></a></div></div>One of GoldSim's most popular models downloaded from our <a href="https://support.goldsim.com/hc/en-us/categories/115000592267-Model-Library-Applications" target="_blank">Model Library</a> is the GoldSim implementation of a Stochastic Weather Generator (<a href="https://support.goldsim.com/hc/en-us/articles/115012797188-WGEN-Weather-Simulator" target="_blank">WGEN</a>). This model simulates probabilistic climate that drives hydrological processes in environmental systems models, such as precipitation, temperature and solar radiation.<div><br /></div><div>One of the limitations of this model is that the generated precipitation time series generated by the model doesn't account for long-term drought cycles. Using the <a href="https://www.drought.gov/" target="_blank">National Integrated Drought Information System</a> (by NOAA), we can apply the Standardized Precipitation Index (SPI) to precipitation generated by WGEN to account for droughts. This blog post summarizes an approach used to incorporate droughts for a site during the years 1910 - 2022 and found to produce results that compare well to the historic precipitation measured at a site in Manti, Utah.<br />
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<a name='more'></a><div class="separator" style="clear: both; text-align: left;">The first step of the process to implement droughts is to obtain SPI values from the National Integrated Drought Information System website. This data was obtained by searching for a location that we can also find precipitation data during a similar time frame. For this application, I used Manti, Utah with a time frame of 1900 through 2022. Below is a chart showing the time history of SPI values generated in GoldSim.</div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhwSHIeiJoE4KPHrFsnpx1I8u988lz7pzpqdW1lBemZ4NRnOqLPA-tWuwLUYFe8_63qUI6jXsTQ0DUPaVSZtt3vSsmZARVFegcDg9J4gDwM8DOYIGi_Uw5--8VxeMsu9IQ8Uua1_N2aG6ySk3elgHRduLIRjkjlQiTaZ44EDlmO_nsQ8wfcbyxZffvdYw/s1254/2022-03-30_14-18-25.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="784" data-original-width="1254" height="400" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhwSHIeiJoE4KPHrFsnpx1I8u988lz7pzpqdW1lBemZ4NRnOqLPA-tWuwLUYFe8_63qUI6jXsTQ0DUPaVSZtt3vSsmZARVFegcDg9J4gDwM8DOYIGi_Uw5--8VxeMsu9IQ8Uua1_N2aG6ySk3elgHRduLIRjkjlQiTaZ44EDlmO_nsQ8wfcbyxZffvdYw/w640-h400/2022-03-30_14-18-25.png" title="The Standardized Precipitation Index (SPI) for Manti, Utah" width="640" /></a></div><br /><div class="separator" style="clear: both; text-align: left;">For descriptions of the wet and drought categories (W0-D4), refer to https://www.drought.gov/.</div><div class="separator" style="clear: both; text-align: left;"><br /></div><div class="separator" style="clear: both; text-align: left;">The next step is to compare the SPI values to measured precipitation for a similar location. Precipitation data was obtained from NOAA's <a href="https://www.ncdc.noaa.gov/cdo-web/datasets" target="_blank">National Centers for Environmental Information</a> website. Below is a Time History result chart showing how precipitation compares to SPI. I am using the 1-year running average precipitation for this comparison. To simplify the SPI comparison, the mean of all the category values is calculated and this is the red dashed line shown in the chart below. The mean SPI is what I end up applying to the probabilistic precipitation data generated by WGEN.</div><div class="separator" style="clear: both; text-align: left;"> </div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgdOWmmLY2bgiGX8sI_sa4_y4Zn4G-O7SvqV-GCicWhnk9zWhNup6qsiICz7xy8R68iqyDtYppDzTsNo2Y5f5Em9NvV0GiUB-Q3RE_Qux1gSP7ejkSxjBET_o5ORCi8P4itLetPAFR_ExFT5IHsrJ8NZCj5m23HhC35zn164QFWar4vV1z5CgaWT0aeKA/s1334/2022-03-30_14-49-50.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="728" data-original-width="1334" height="350" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgdOWmmLY2bgiGX8sI_sa4_y4Zn4G-O7SvqV-GCicWhnk9zWhNup6qsiICz7xy8R68iqyDtYppDzTsNo2Y5f5Em9NvV0GiUB-Q3RE_Qux1gSP7ejkSxjBET_o5ORCi8P4itLetPAFR_ExFT5IHsrJ8NZCj5m23HhC35zn164QFWar4vV1z5CgaWT0aeKA/w640-h350/2022-03-30_14-49-50.png" width="640" /></a></div><br /><div class="separator" style="clear: both; text-align: left;">Using a Submodel in GoldSim, we can further evaluate this comparison with a multi-variate correlation chart. This is done by walking over the pairs of time series data where each realization of a Monte Carlo simulation represents each time step of the time series, thus producing the scatter plot shown below.</div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEj0UBkhoIXjSezY8W-S331StFkvQWtivNtoRQGScHDf7QX7TX5hRT1YJAweR0v5IJrTdLG3Gte9UoGJEtz7vZSFh92J92Ek7n5TCFzAYzUTw3yRF2g1xCBA3C1BDDqv99txlmd8t2SG3vD650UdKURm9jQe25NrNLYi55zxlfqWcv7B61vLyyBk75GAgg/s890/2022-03-30_14-42-10.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="890" data-original-width="828" height="400" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEj0UBkhoIXjSezY8W-S331StFkvQWtivNtoRQGScHDf7QX7TX5hRT1YJAweR0v5IJrTdLG3Gte9UoGJEtz7vZSFh92J92Ek7n5TCFzAYzUTw3yRF2g1xCBA3C1BDDqv99txlmd8t2SG3vD650UdKURm9jQe25NrNLYi55zxlfqWcv7B61vLyyBk75GAgg/w373-h400/2022-03-30_14-42-10.png" width="373" /></a></div><br /><div class="separator" style="clear: both; text-align: left;">The correlation coefficient for SPI vs measured precipitation, which is automatically calculated by GoldSim's Multi-Variate Chart, is found to be 0.615 for this location. The next step was to apply the SPI factors to the probabilistic precipitation generated by WGEN for this site and calculate the same correlation for SPI vs simulated precipitation. After applying the SPI factors and running WGEN for a single realization, it generates a plot that seems to show somewhat similar results as the measured time series shown above. This is because WGEN relies on historical climate data as inputs, as described our <a href="https://support.goldsim.com/hc/en-us/articles/115015643887-WGEN-Parameter-Generator" target="_blank">WGEN PAR</a> library model article. Below is the Time History chart generated by GoldSim using WGEN for this site with the SPI factors being applied.</div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjTu7uPsRbVyXWcL-NO0xY7EeFyuDftp5zcWfKeh2HLgKQrOS0-GrO6XJNCflwquZA3QHULSlfZNxSXyocTX5TdCHxcnvBuLvJf8ozKNfDBEuVW4MiuBcl4WyT_6GEAgzzSudw1h39ClBrteD6Wf9XKsqCf5dSJoetPj2rvse8t_cfvSQ9VIdCKAbtw_g/s1342/2022-03-30_14-58-56.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="725" data-original-width="1342" height="346" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjTu7uPsRbVyXWcL-NO0xY7EeFyuDftp5zcWfKeh2HLgKQrOS0-GrO6XJNCflwquZA3QHULSlfZNxSXyocTX5TdCHxcnvBuLvJf8ozKNfDBEuVW4MiuBcl4WyT_6GEAgzzSudw1h39ClBrteD6Wf9XKsqCf5dSJoetPj2rvse8t_cfvSQ9VIdCKAbtw_g/w640-h346/2022-03-30_14-58-56.png" width="640" /></a></div><br /><div class="separator" style="clear: both; text-align: left;">The correlation between Mean SPI and simulated (probabilistic) precipitation was also evaluated for a single realization in GoldSim and the scatter chart is shown below.</div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjQoJYdVvRUKX-sm8U3fY14jzFbEqF8yXPcoVOf5kPT-TzKzTjuOeLdCIwjc4OzyEGwJzmTd4l1cwto-AWlrYUinYayxUFqQoUNaLBos4mtiFbXqrOtUL6lhv5Rv5OmmRPD2DmmqyNHr0rAVDytvzFu61lWAlPMenMQUp1K722e4I9vhHQuTz0-AzvI5A/s890/2022-03-30_15-02-46.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="890" data-original-width="824" height="400" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjQoJYdVvRUKX-sm8U3fY14jzFbEqF8yXPcoVOf5kPT-TzKzTjuOeLdCIwjc4OzyEGwJzmTd4l1cwto-AWlrYUinYayxUFqQoUNaLBos4mtiFbXqrOtUL6lhv5Rv5OmmRPD2DmmqyNHr0rAVDytvzFu61lWAlPMenMQUp1K722e4I9vhHQuTz0-AzvI5A/w370-h400/2022-03-30_15-02-46.png" width="370" /></a></div><br /><div class="separator" style="clear: both; text-align: center;"><br /></div><br /><div class="separator" style="clear: both; text-align: left;">The correlation coefficient for mean SPI vs simulated precipitation for 1 realization is 0.632, which is similar to the measured precipitation correlation described above. This is not surprising since WGEN uses historical climate data as input. Running WGEN for multiple realizations shows that the mean of these multiple realizations more closely matches SPI, which is expected. In the plot below, I compare the mean of 10 realizations and use a 5-year running average. </div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi5MkxhuLpeqDL_qy8IJXRiYv9QNpQ4PS4S5QFiTCdhPdN-ZJexex6qVi1LuazStB2OQ-TVlrv0qSaikZC0dLhDB4Whj1KA1-UCMihVq3H3aaKGx15TXO4Omt5-OZTwKS6KQWb7UgVY6WimZE-B_O7xLsiV8f73izO7cKMScAp7kTzbCa17WZdebfKg2w/s1342/2022-03-30_16-10-10.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="725" data-original-width="1342" height="346" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi5MkxhuLpeqDL_qy8IJXRiYv9QNpQ4PS4S5QFiTCdhPdN-ZJexex6qVi1LuazStB2OQ-TVlrv0qSaikZC0dLhDB4Whj1KA1-UCMihVq3H3aaKGx15TXO4Omt5-OZTwKS6KQWb7UgVY6WimZE-B_O7xLsiV8f73izO7cKMScAp7kTzbCa17WZdebfKg2w/w640-h346/2022-03-30_16-10-10.png" width="640" /></a></div><br /><div class="separator" style="clear: both; text-align: center;"><br /></div><div class="separator" style="clear: both; text-align: left;">In addition to the above correlation comparisons, the simulated drought-impacted precipitation time series generated by this new version of WGEN was further evaluated by comparing aspects of the data using some basic validation functions. I compare the following features of the simulated precipitation and compare it to the measured historical data on a monthly basis over the period of 1910-2022:</div><div class="separator" style="clear: both; text-align: left;"><ul style="text-align: left;"><li>Cumulative </li><li>Peak</li><li>Duration of significant rainfall intensity</li><li>Duration of wet days </li></ul></div>
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This validation process revealed that the drought-induced precipitation generated by GoldSim compares well to the historical measured precipitation. This gives some confidence that the approach used in this model could be applied to other sites. Below are a couple of example charts from the validation section of this model. Note that because WGEN produces probabilistic results, we should expect some differences for a single realization run but the results should be similar.</div><div><br /><br /></div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjNfAG6Bz9zJsonUrD8QaT1tpXPsBUCbHI-Fy67ajklRMMdbXuiLZ50c-9Pfl1AhS-5vtKa5FScKmn0-W9lUpQ5UFgl6WZ8M7Q92WhbibfK_RJItdfA1S7kOR5pnJd4sss7sukbbIhDyhrJt-9o0VUGj0RRY9hl6dXqk06ZZHMnraPo2IfFXuH88DtWSw/s782/2022-03-30_16-15-52.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="782" data-original-width="749" height="400" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjNfAG6Bz9zJsonUrD8QaT1tpXPsBUCbHI-Fy67ajklRMMdbXuiLZ50c-9Pfl1AhS-5vtKa5FScKmn0-W9lUpQ5UFgl6WZ8M7Q92WhbibfK_RJItdfA1S7kOR5pnJd4sss7sukbbIhDyhrJt-9o0VUGj0RRY9hl6dXqk06ZZHMnraPo2IfFXuH88DtWSw/w383-h400/2022-03-30_16-15-52.jpg" width="383" /></a></div><div class="separator" style="clear: both; text-align: center;"><br /></div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg9GtoqtPwTYsrP7mRMy9oIFh0Z8mFJfB8ui8rGKTfeHOv3IHMQKszyPMg2D5Zg77AaINiFUJ_pOKjsTWbwUuI5C0IwbJ6z99_YYScJooL9lt3SZ2zi6wUwm453oU-0qVkIf5WQoz9OUij4erptf5jY9rX13lEGnqRTLqxKPkTl-l7M__PZNkJj9nPaAQ/s779/2022-03-30_16-16-59.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="779" data-original-width="753" height="400" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg9GtoqtPwTYsrP7mRMy9oIFh0Z8mFJfB8ui8rGKTfeHOv3IHMQKszyPMg2D5Zg77AaINiFUJ_pOKjsTWbwUuI5C0IwbJ6z99_YYScJooL9lt3SZ2zi6wUwm453oU-0qVkIf5WQoz9OUij4erptf5jY9rX13lEGnqRTLqxKPkTl-l7M__PZNkJj9nPaAQ/w386-h400/2022-03-30_16-16-59.jpg" width="386" /></a></div><br /><div class="separator" style="clear: both; text-align: center;"><br /></div><div><br /></div><div>The next step is to build a model that can produce probabilistic SPI values based on the historical values presented on the National Integrated Drought Information System website in order to forecast with uncertainty.</div><div><br /></div><div>If you would like to view the model, you can download it from <a href="https://1aba9196f1374c122eb3-88e16f2839046d15974f81e66bf5bdc6.ssl.cf1.rackcdn.com/Models%20without%20articles/Drought%20Index%20SPI%20Manti%20UT.gsm" target="_blank">here</a>. If you have questions, please contact <a href="https://support.goldsim.com/hc/en-us/requests/new" target="_blank">GoldSim Support</a>.</div><div>
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<div class="separator" style="clear: both; text-align: center;"><br /><br /></div></div>GoldSimhttp://www.blogger.com/profile/18105288640248926754noreply@blogger.com0tag:blogger.com,1999:blog-8601426913066236591.post-62389628151177142552022-01-27T10:10:00.000-08:002022-01-27T10:10:27.287-08:00The GoldSim Contaminant Transport Module Online Course is Now Available!<p>Posted by <a href="https://blog.goldsim.com/p/blog-contributors.html#Rick">Rick Kossik</a></p><div class="separator" style="clear: both; text-align: center;"></div>Over the last two years I posted six excerpts from the Contaminant Transport Module Online Course. I had promised that it was under development and would eventually be posted in full. I posted the last of these excerpts a year ago and then went silent, so you may have wondered "what happened?". With the exception of the last excerpt, these were from the (early) conceptual parts of the Course. The remainder of the Course is "hands-on" and procedural and would not have necessarily worked well in a blog format. Hence, the silence. <b>Well, FINALLY (after 2 years of effort) the full Course is now available.</b> In this post, I briefly provide an overview of what you can expect.<div><span><a name='more'></a></span><div><p></p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/a/AVvXsEjZJytniW1q0ExSvmrh_lHDBZ-1j96W1EkjSQApLBIfKKafr8oojKvAHQnHmrbFjAklPalFgC_YKex2-uHrvxyxaJ-okn6Mzh71cbGhl9giCWDztbvIlpai9srUYEfRu8u3uCdNgOLXICwzaauLPYcvXIWK2J_4g0jYNq9fsZ-RbrfJ7NsNqhZjWrXkjg=s300" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" data-original-height="200" data-original-width="300" height="200" src="https://blogger.googleusercontent.com/img/a/AVvXsEjZJytniW1q0ExSvmrh_lHDBZ-1j96W1EkjSQApLBIfKKafr8oojKvAHQnHmrbFjAklPalFgC_YKex2-uHrvxyxaJ-okn6Mzh71cbGhl9giCWDztbvIlpai9srUYEfRu8u3uCdNgOLXICwzaauLPYcvXIWK2J_4g0jYNq9fsZ-RbrfJ7NsNqhZjWrXkjg" width="300" /></a></div>This <b>free</b>, self-paced Course is intended to provide you with an introduction to the GoldSim Contaminant Transport Module. Due to the level of detail provided, it should be of interest not only to people who are new to GoldSim, but also those who are already familiar with the Contaminant Transport Module. The Course covers not only how to use the Module, but also necessarily discusses basic contaminant transport concepts. The Course assumes that you are already familiar with the basic GoldSim framework (as described in detail in the <a href="https://www.goldsim.com/Courses/BasicGoldSim/" target="_blank">Introduction to GoldSim Course</a>.<p></p><p>If you work straight through (which is not necessarily recommended), the Course will likely take no less than 40 hours to complete (and if you tend be very methodical and spend time exploring the Help system as you take the Course, it could take longer). </p><p>The Course is organized into Units and Lessons (134 Lessons in 12 Units) so you can easily take the Course at your own pace (and the site will remember where you last left off). The ideal pace is probably to spend perhaps just a couple hours per day with the Course and spread it out over several weeks or a month. This then provides you with an opportunity to give some considered thought to the information that was presented, and prevent “information overload”. On the other hand, if you are already very familiar with contaminant transport modeling (and/or have a strong quantitative background), you may want to approach the Course in a more intensive manner and cover the material more rapidly.</p><p>This is a “hands-on” Course. That is, while you are taking it, you are expected to simultaneously use the software. As a result, if possible, it is recommended that you use a large (or high resolution) screen with this Course on one side of the screen and GoldSim on the other, an extended desktop (e.g., using two monitors) or perhaps two computers (a computer for the software and a tablet for the Course). Throughout the Course, we use nearly 60 simple Exercises and Examples to help you learn how to use the software. <i><b>In order for this Course to be effective at all, it is critical that you work through these Exercises and Examples.</b></i></p><p>You can find the Course <a href="https://www.goldsim.com/Courses/ContaminantTransport/" target="_blank">here</a>. Enjoy!</p><p></p></div></div>GoldSimhttp://www.blogger.com/profile/18105288640248926754noreply@blogger.com1tag:blogger.com,1999:blog-8601426913066236591.post-21139784143782588092021-09-20T14:25:00.005-07:002021-09-21T08:46:41.841-07:00Introducing the Final Value Result: Soon Available in GoldSim 14<div class="separator">Posted by <a href="https://blog.goldsim.com/p/blog-contributors.html#Rick">Rick Kossik</a></div><div class="separator" style="clear: both; text-align: center;"></div><div><br /></div>We have been working for the last several years on the next major GoldSim release (GoldSim 14). We expect to release this by October 15. All users with active maintenance will receive an email at that time with instructions for upgrading.<div><br /></div><div>GoldSim 14 contains a large number of changes and updates. In this blog post, I briefly discuss one of the most noticeable new features that you will see (a new type of result display). When we release GoldSim 14, we'll post another article to the blog (as well as send out a newsletter) summarizing all of the new features and updates.</div><div><br /></div><span><a name='more'></a></span><h3 style="text-align: left;">The Final Value Result</h3><div><p class="MsoNormal"><span style="mso-ansi-language: EN-US;">GoldSim 14 introduces
a powerful new result display option referred to as a Final Value Result. <o:p></o:p></span>Final Value results are used to carry out
side-by-side <b><i>comparisons</i></b> of the final values of outputs for different
types of simulations. In order to use
them, you need to carefully specify <u>what</u> you wish to compare and <u>how</u>
you want to display that comparison. Depending on how your model has been run
(e.g., multiple realizations, multiple scenarios, multiple Capture Times) and the
outputs you have specified to compare (e.g., one output, multiple outputs,
vector results, matrix results), there can be a large variety of ways to
display the comparison.</p>
<p class="MsoNormal">One of the simplest Final Value results you
might want to display is simply the comparison of multiple outputs for a
deterministic run or a single realization.
For such a result, there are three meaningful ways that you can choose
to display this in a Final Value result. This is a <b><i>column chart</i></b>:</p>
</div><div style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgHhSsVVap-2M7__Hqe0Rk-l3UfoLN8WzhQphxcTiB-FxEtLlpBNWScAJLMPtimOx3ERx4aP0Upo6UJeS_IkzrOlsYUqOPcPpK7kvv0c1b7RyEFGQ6XDoP1M4RTEFJk1QSJZpUj32blolNt/s622/fig1.png"><img border="0" data-original-height="457" data-original-width="622" height="294" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgHhSsVVap-2M7__Hqe0Rk-l3UfoLN8WzhQphxcTiB-FxEtLlpBNWScAJLMPtimOx3ERx4aP0Upo6UJeS_IkzrOlsYUqOPcPpK7kvv0c1b7RyEFGQ6XDoP1M4RTEFJk1QSJZpUj32blolNt/w400-h294/fig1.png" width="400" /></a></div><div>This a <b><i>bar chart</i></b>:</div><div><br /></div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgXomw7_qPURMAoKhusus7-bW2XJtKA8cUyXo0f1P7U3L0qML4bQ5Nxwgs93qJJu1AxpF9-C3LunS6qtINyo7e6Ub2u4Fqa4ny3ihOigVBpNgBGM5lTS-iwknrVvoLO48KCE992FYqlauUL/s622/fig2.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="457" data-original-width="622" height="294" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgXomw7_qPURMAoKhusus7-bW2XJtKA8cUyXo0f1P7U3L0qML4bQ5Nxwgs93qJJu1AxpF9-C3LunS6qtINyo7e6Ub2u4Fqa4ny3ihOigVBpNgBGM5lTS-iwknrVvoLO48KCE992FYqlauUL/w400-h294/fig2.png" width="400" /></a></div><div>This is a <b><i>pie chart</i></b>:</div><div><br /></div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgk47IsGumLQpvB4520oZsMp76VUUj1QyoKb5m-NFIlx5AfEi5krX37Q69bMXOW38dPkt3QtbnL-mU59TS64UgQw-ViBf-2lCxEma6XalDUqXBqTEMf17tB2lstHnjf2Z8Gk6gmHjHc5yEV/s622/fig3.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="457" data-original-width="622" height="294" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgk47IsGumLQpvB4520oZsMp76VUUj1QyoKb5m-NFIlx5AfEi5krX37Q69bMXOW38dPkt3QtbnL-mU59TS64UgQw-ViBf-2lCxEma6XalDUqXBqTEMf17tB2lstHnjf2Z8Gk6gmHjHc5yEV/w400-h294/fig3.png" width="400" /></a></div><div><a name="_Hlk76113829"><span lang="EN-AU"><br /></span></a></div><div><span lang="EN-AU">You can also this same data in tabular form, either as rows or columns
of values (below it displayed as rows):<br /><br /></span></div><div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg0RkWrPOP9CYprU4vOWIxd6VyQGBb6HAGEqX6OAui3MpGbNIG4OTr64ztRRiT1xp02ZEzEN69jKAWapieFqIyMjWw7eAvwbelB15vRIzm4a6zmcev-xrqS1xmOFOtNBCmEf6h8e-mUSAe1/s636/fig4.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="173" data-original-width="636" height="109" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg0RkWrPOP9CYprU4vOWIxd6VyQGBb6HAGEqX6OAui3MpGbNIG4OTr64ztRRiT1xp02ZEzEN69jKAWapieFqIyMjWw7eAvwbelB15vRIzm4a6zmcev-xrqS1xmOFOtNBCmEf6h8e-mUSAe1/w400-h109/fig4.png" width="400" /></a></div><p class="MsoNormal"><span lang="EN-AU"></span></p><p class="MsoNormal"><span lang="EN-AU">We can make this “one-dimensional” data set
“two-dimensional” by running a Monte Carlo simulation. In this case, the final
values we would want to look at would likely be statistics (e.g., the mean or
some percentile). In this case, the tabular form of the
data would look like this (as in the previous case, the rows and columns can be
reversed):<o:p></o:p></span></p></div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjGf9dhOoRKZCBUFqTEsSvsefX-ci5GkWFvL5_NhE6yjtYZ9Cf1mVqjTsavlL2DuE5grL70guoUUR9rG-C69To_N8Lx2lGT4YkNxYpFCajsXHIvsLagE8TzCbag0o6ckymoTfQCw4eSO8e4/s610/fig5.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="173" data-original-width="610" height="114" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjGf9dhOoRKZCBUFqTEsSvsefX-ci5GkWFvL5_NhE6yjtYZ9Cf1mVqjTsavlL2DuE5grL70guoUUR9rG-C69To_N8Lx2lGT4YkNxYpFCajsXHIvsLagE8TzCbag0o6ckymoTfQCw4eSO8e4/w400-h114/fig5.png" width="400" /></a></div><div><br />Now that we have “two-dimensional” data,
our charts can become a bit more interesting and we can explore and compare the
results in different ways. For example,
we could produce a<b><i> clustered </i></b>column<b><i> </i></b>chart like this: </div><div><br /></div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhL27WhDFuhdmtN5NlhYxLVKSMkZnb87U2agLZbtUQUFFF6DhSkhl3a1XFLhHSrnBFohX-vpulRM8XyE6CQ6OGN6RsriHLmvBSZstP3kv4KEtuxJraKJOw9TZMhm3UVGi4Bcii4A7RptWc9/s598/fig6.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="446" data-original-width="598" height="299" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhL27WhDFuhdmtN5NlhYxLVKSMkZnb87U2agLZbtUQUFFF6DhSkhl3a1XFLhHSrnBFohX-vpulRM8XyE6CQ6OGN6RsriHLmvBSZstP3kv4KEtuxJraKJOw9TZMhm3UVGi4Bcii4A7RptWc9/w400-h299/fig6.png" width="400" /></a></div><br /><div><span lang="EN-AU">This chart displays three
groups (clusters) of columns. Each group
represents a different output, and each column represents a different statistic
for that group. The Final Value result,
however, can also “flip” how this information is displayed:</span></div><div><a name="_Hlk76117038"><span lang="EN-AU"><br /></span></a></div><div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjJG36n_B6rv3UNXnebL5Vel29bADPuGHg1FR1Q0zh0UyAIN_EGJuycSUhEcaViu3EBu7kWbhfMJWexdcf102joQvW6vgtvpVVdrMNNXqDpJNOH7e7yU3Vadd6_hHfEJTc32amUTK5RyZu0/s598/fig7.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="446" data-original-width="598" height="299" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjJG36n_B6rv3UNXnebL5Vel29bADPuGHg1FR1Q0zh0UyAIN_EGJuycSUhEcaViu3EBu7kWbhfMJWexdcf102joQvW6vgtvpVVdrMNNXqDpJNOH7e7yU3Vadd6_hHfEJTc32amUTK5RyZu0/w400-h299/fig7.png" width="400" /></a></div><p class="MsoNormal">In this case, each group of columns
represents a different statistic, and each column represents a different
output.</p><p class="MsoNormal"><span lang="EN-AU">These two displays are in the form of column
charts, but we also display bar chart versions of these same results. For
example, here is the clustered column chart above displayed as a clustered bar
chart:<o:p></o:p></span></p><br /></div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgNHv9bwqvX8-laJ1p-wUNPmNXtKGUtci48nSz8EYO46YgRE8kTORsxGIMC-DGU1qRQQ6_h3ZxwL0jkPt2tcCXwTJ3Cu8z9CK3lQh0LPlN4LN1ZaulQw3yqSqydlTeJa6SSv7IvT2tty-kk/s598/fig8.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="446" data-original-width="598" height="299" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgNHv9bwqvX8-laJ1p-wUNPmNXtKGUtci48nSz8EYO46YgRE8kTORsxGIMC-DGU1qRQQ6_h3ZxwL0jkPt2tcCXwTJ3Cu8z9CK3lQh0LPlN4LN1ZaulQw3yqSqydlTeJa6SSv7IvT2tty-kk/w400-h299/fig8.png" width="400" /></a></div><div><p class="MsoNormal"><a name="_Hlk76118186"><span lang="EN-AU">We can also display
“two-dimensional” pie charts:<o:p></o:p></span></a></p><p class="MsoNormal"><a name="_Hlk76118186"></a></p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiAjAURQXEL5ni3xNGrfo1zOIWtFBh8INyjz9Ah6c-g9Q9S73Ezrcgs_O71OVK-auspa3OENTWrmX04SaMPLvhn5Q2NRI_rcEUEPfW6jvsjMesBkZ7O0bVzztP-Pvf0OsvXOIJM85nOq-8r/s598/fig9.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="446" data-original-width="598" height="299" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiAjAURQXEL5ni3xNGrfo1zOIWtFBh8INyjz9Ah6c-g9Q9S73Ezrcgs_O71OVK-auspa3OENTWrmX04SaMPLvhn5Q2NRI_rcEUEPfW6jvsjMesBkZ7O0bVzztP-Pvf0OsvXOIJM85nOq-8r/w400-h299/fig9.png" width="400" /></a></div><p class="MsoNormal">In this case, each pie represents a
different statistic, with each pie slice representing a different output.
Alternatively, however, we could specify that each pie represents a different
output, and each pie slice represents a different statistic.</p><p></p><p class="MsoNormal"><span lang="EN-AU">Finally, having a “two-dimensional” set of
data allows us to make use of <b><i>stacked bar</i></b> and <b><i>stacked column</i></b>
charts.<span style="mso-spacerun: yes;"> </span>That is, rather than presenting
the data using groups of columns (or bars), we can present it using stacked
columns (or bars):<o:p></o:p></span></p></div><div class="separator" style="clear: both; text-align: center;"><img border="0" data-original-height="446" data-original-width="598" height="299" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiQvJNDGMTGV2k_cWiMz7lgwtSHKD7MQgc3P86LeuBHfihGCO3t8tX4I4aOkrOerm3Ahm-RgOm7B-PJdhb8PXsO69Q-4JgpbhAejkCRMnZPjMrfo3dIj64LzwaU9n7r7T4N4z-A6B0mtAyL/w400-h299/fig10.png" width="400" /></div><div><br /></div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEituow7lEDuIBhg7mZ4ge9iKuDZXCrtDPKIYLvQqya0Lr3h4S0YPWeuxCWjoEt0QJJExcjcLlquCT0Q1wDhdvfqYvLOAQGdzpmOscrctTrrJFtijQq1lXOjn4ElZCNjfigmYw3RSpsZ6AlO/s598/fig11.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="446" data-original-width="598" height="299" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEituow7lEDuIBhg7mZ4ge9iKuDZXCrtDPKIYLvQqya0Lr3h4S0YPWeuxCWjoEt0QJJExcjcLlquCT0Q1wDhdvfqYvLOAQGdzpmOscrctTrrJFtijQq1lXOjn4ElZCNjfigmYw3RSpsZ6AlO/w400-h299/fig11.png" width="400" /></a></div><div><br /></div><div>Stacked bar and column charts can also be
displayed as percentages (of all the items in the “stack”) rather than values. Here is what the stacked column chart above
would look like if displayed as a <b><i>100% stacked column</i></b> chart:</div><div><br /></div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgEunlgqs4Sxf032WcwCZzvgdYXdUCC-U1apUTdigKtskat4e4bVmy00H36uHuKRVumISRrrS-tejQKYwT3_IuqfVd0ClIwjqrm4gawT49759mbsuaGVic0p2iHkwwfrE4Q6G6WBpsUFTSK/s598/Fig19.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="446" data-original-width="598" height="299" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgEunlgqs4Sxf032WcwCZzvgdYXdUCC-U1apUTdigKtskat4e4bVmy00H36uHuKRVumISRrrS-tejQKYwT3_IuqfVd0ClIwjqrm4gawT49759mbsuaGVic0p2iHkwwfrE4Q6G6WBpsUFTSK/w400-h299/Fig19.png" width="400" /></a></div><br /><div><a name="_Hlk76119888"><span lang="EN-AU">Such a chart is
similar to a pie chart (in that all of the sections add to 100%).</span></a></div><div>
<p class="MsoNormal"><span style="mso-bookmark: _Hlk76119888;"><span lang="EN-AU"><o:p> </o:p></span></span>Running your model in different ways can add
additional “dimensions” (beyond two) to the set of data that you wish to display. For example, we could have run this
particular model for two different scenarios. We would then have three
“dimensions” to our data set (outputs, statistics, scenarios). Charts
themselves can not extend beyond “two-dimensions” (like those shown above), so
when we have three “dimensions” in the set of results, we need to select a
single value for one of the dimensions (referred to as the Layer) when
displaying the chart. But having three
dimensions provides great flexibility in how we display the data.</p>
<p class="MsoNormal">For example, we could choose to display a
column chart showing all outputs and all statistics for a particular <u>scenario</u>
(in two different ways):</p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgC8uBldqX5-SybKABfqJGfcbpiTJTRHddClfJ5Q5q0QSC6J1cO8l-25zS2LtU3FH-2gglLB04k1VFeiNQ2IKZ08CvZ7zU5j_GzauvrWzr6ulJEQrsu5XdX_-qmFdMB8qDKAXCW3Nq9NxdU/s607/fig12.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="438" data-original-width="607" height="289" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgC8uBldqX5-SybKABfqJGfcbpiTJTRHddClfJ5Q5q0QSC6J1cO8l-25zS2LtU3FH-2gglLB04k1VFeiNQ2IKZ08CvZ7zU5j_GzauvrWzr6ulJEQrsu5XdX_-qmFdMB8qDKAXCW3Nq9NxdU/w400-h289/fig12.png" width="400" /></a></div><br /><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgOKV9lRLe1SRADhRVV172K1Kexe34DLqU4qwAhQR84OVuQYvAQTosUyie-5DhEZFM8zMkLjFWHWMSqhSHVlJG8iEVvjenjHxXp1aTZv6Qxb50iJLxQP9yF9ic8vyZY0zl2ua1t7sKEZ8sQ/s607/fig13.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="438" data-original-width="607" height="289" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgOKV9lRLe1SRADhRVV172K1Kexe34DLqU4qwAhQR84OVuQYvAQTosUyie-5DhEZFM8zMkLjFWHWMSqhSHVlJG8iEVvjenjHxXp1aTZv6Qxb50iJLxQP9yF9ic8vyZY0zl2ua1t7sKEZ8sQ/w400-h289/fig13.png" width="400" /></a></div><p class="MsoNormal"><span lang="EN-AU">Alternatively, we
could choose to display a column chart showing all outputs and all scenarios
for a particular <u>statistic</u> (in two different ways):</span></p><p class="MsoNormal"><a name="_Hlk76122401"></a></p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiSACTtl59i0w6XhbjE2DxcNtPA7YeLRoViOrUd0RnfLCXDAOg0dzDMQjtU90PETBjooFoY-oRtbIzOwoWRczkOEvDtzWOFmwQdB-n19jfcsfZDop3YZcSNOsxCSaekUKO_luM-oqw8Fmr_/s574/fig14.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="438" data-original-width="574" height="305" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiSACTtl59i0w6XhbjE2DxcNtPA7YeLRoViOrUd0RnfLCXDAOg0dzDMQjtU90PETBjooFoY-oRtbIzOwoWRczkOEvDtzWOFmwQdB-n19jfcsfZDop3YZcSNOsxCSaekUKO_luM-oqw8Fmr_/w400-h305/fig14.png" width="400" /></a></div><br /><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjuF1eEOpW7xPtBUs5FBCC0K98HThPluGgW0UJTd8Tt9cszL3cEHydZJ2mEylwodMSfo1xeWyqVNr_7B0XpgsVAisP3ayTLXhn57LMztXc6Al9besgJgtbXKo59X4O4zmLcl-WsW93cTC3U/s574/fig15.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="438" data-original-width="574" height="305" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjuF1eEOpW7xPtBUs5FBCC0K98HThPluGgW0UJTd8Tt9cszL3cEHydZJ2mEylwodMSfo1xeWyqVNr_7B0XpgsVAisP3ayTLXhn57LMztXc6Al9besgJgtbXKo59X4O4zmLcl-WsW93cTC3U/w400-h305/fig15.png" width="400" /></a></div><span lang="EN-AU"><p class="MsoNormal"><span lang="EN-AU">Finally, we could
choose to display a column chart showing all scenarios and all statistics for a
particular <u>output</u> (in two different ways):</span></p><p class="MsoNormal"></p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgXeomqadOH6jSXYpgnSCWmQ7TzBbuvh9z1zr_OmflVHH9B0OdiALj4R7elOKhQu3ceLiRxPKjRYpexZeiwPtVJFFBncTJATNDyIDN4rkVKwiaBN9e6GUBTX2J3oCOpH5LBwvxoq8uqob2z/s587/fig16.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="438" data-original-width="587" height="299" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgXeomqadOH6jSXYpgnSCWmQ7TzBbuvh9z1zr_OmflVHH9B0OdiALj4R7elOKhQu3ceLiRxPKjRYpexZeiwPtVJFFBncTJATNDyIDN4rkVKwiaBN9e6GUBTX2J3oCOpH5LBwvxoq8uqob2z/w400-h299/fig16.png" width="400" /></a></div><br /><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgaEwFYiDa3e0FTsa4stMziRykDqymsFD3WYVHVr2wEHwXZnsgpLBGfr7k14tijEjFIfAyksgegcuNNZwsig4TibaDT9v8Rhd9ZfxCV9d5aelnLoX0SxceC7ddoJG3IZm9yRaVtUtNAve8G/s587/fig17.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="438" data-original-width="587" height="299" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgaEwFYiDa3e0FTsa4stMziRykDqymsFD3WYVHVr2wEHwXZnsgpLBGfr7k14tijEjFIfAyksgegcuNNZwsig4TibaDT9v8Rhd9ZfxCV9d5aelnLoX0SxceC7ddoJG3IZm9yRaVtUtNAve8G/w400-h299/fig17.png" width="400" /></a></div><span lang="EN-AU"><p class="MsoNormal"><a name="_Hlk76122575"><span lang="EN-AU"></span></a></p><p class="MsoNormal" style="display: inline;"><span lang="EN-AU">In this case, we
produced six different column charts displaying these results in different ways
(which allows you to emphasize different aspects of the results). Note that we could have also produced equivalent
stacked column charts, bar charts, stacked bar carts, and pie charts (six
different charts for each type of display).</span></p></span><p></p></span><p></p>
<p class="MsoNormal">The
tabular view of this data would look like this (and could also be displayed in
multiple ways, by switching what is displayed in the rows and columns):</p></div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEihLhsA0No5UdBCRFjPzAeHsqJtlyjYvqOv7U1wMKd8y6ui5bpQus_FczY-NXjZfeTvagR4gHI2INgw2Hphjlv8RDbZ-3ta5uqil3VVeiJHpVGqqYlAf_Qopr1MZaMGCQfKhCp5ZHOb9zJT/s602/fig18.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="173" data-original-width="602" height="116" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEihLhsA0No5UdBCRFjPzAeHsqJtlyjYvqOv7U1wMKd8y6ui5bpQus_FczY-NXjZfeTvagR4gHI2INgw2Hphjlv8RDbZ-3ta5uqil3VVeiJHpVGqqYlAf_Qopr1MZaMGCQfKhCp5ZHOb9zJT/w400-h116/fig18.png" width="400" /></a></div><div><p class="MsoNormal"><span lang="EN-AU">In the case of
tables, unlike charts, the “third dimension” can be fully displayed (GoldSim
simply increases the number of columns).<o:p></o:p></span></p>
<p class="MsoNormal">The simple examples provided here do not cover all
of the combinations of results that you can display (e.g., Final Value results
can also display arrays and results for different Capture Times), but what you
should conclude from this overview is the following:</p><p class="MsoNormal"></p><ul style="text-align: left;"><li>The Final
Value result is very powerful and flexible, and allows you to produce a
variety of charts and tables to display results at the end of the
simulation (Final Values) or at defined Capture Times.</li><li>At their
most complex level, charts can display up to two “dimensions” of results
from higher dimensional data sets (e.g., multiple outputs and multiple
statistics for a single scenario; multiple outputs and multiple scenarios
for a single statistic, multiple statistics and multiple scenarios for
single output).</li><li>Tables
can display the full data set selected (by increasing the number of
columns).</li><li>The
various charts and tables can be displayed and rearranged in a wide
variety of ways, giving you great flexibility in order to emphasize
specific aspects of the results.</li></ul><p></p></div><br /><div class="separator" style="clear: both; text-align: center;"><br /></div><br /><div class="separator" style="clear: both; text-align: center;"><br /></div><br /><div class="separator" style="clear: both; text-align: center;"><br /></div><br />GoldSimhttp://www.blogger.com/profile/18105288640248926754noreply@blogger.com0tag:blogger.com,1999:blog-8601426913066236591.post-38661451390470763422021-01-31T12:26:00.002-08:002021-01-31T12:44:02.867-08:00Avoiding Concentration Spikes when Simulating Cells that are Emptying (and Refilling)<p> Posted by <a href="https://blog.goldsim.com/p/blog-contributors.html#Rick">Rick Kossik</a></p><div class="separator" style="clear: both; text-align: center;"></div>As part of the process of creating a very detailed online course for the GoldSim Contaminant Transport Module (for which a number of excerpts have been published in previous blog posts), I have been revisiting the most common questions and problems that we have been asked about by our users over the years in order to make sure to discuss these in the course (as well as to add more detailed descriptions, when warranted, in the User's Guide).<div><div class="separator" style="clear: both; text-align: center;"><br /></div>One of the more common issues that we see is the problem of GoldSim producing unrealistic spikes in computed concentrations when the volume of water (or another medium) in a Cell changes significantly over a timestep. This most commonly happens when the Cell dries out (i.e., the volume actually goes to zero) and (perhaps) subsequently refills. There is a way to avoid this problem (which we have provided to users when the issue arises), but it is not discussed in detail in the current version of the User's Guide (which will be remedied in the next release).</div><div><br /></div><div>In this blog post, I will first discuss the nature of the problem (when does it occur?) and how to address it in the current release of GoldSim (12.1). For those that are interested, I will then discuss the numerical reasons for this problem, as well as an alternative approach that will be available for addressing the problem in the next GoldSim release (expected later this year).<span><a name='more'></a></span></div><div><h2 style="text-align: left;"><br />The Nature of the Problem</h2><div><div>If the quantity of the medium (typically the volume of water) in a Cell is constant, the solution algorithm is quite accurate. However, rapidly changing Cell media amounts can result in errors in computed concentrations (and mass transfer rates).</div><div> </div><div>These errors are most common and significant when the amount of media in a Cell is low and rapidly changing (either emptying or filling), in which case the fractional volume change is by definition high. In this case, computed concentrations in a Cell can show unrealistic jumps or drops (i.e., positive or negative “spikes”). These can, in turn, result in inaccurate mass transfer rates and can therefore propagate downstream producing additional inaccurate behavior. The errors will be small as long as the amount of media does not change significantly (e.g., > 20% or so) over a full timestep, but can become significant if it does.</div><div><br /></div><div>If a Cell completely empties (the media amount goes to zero), an additional problem occurs. In particular, when a Cell empties, some mass will be left in the Cell after it has emptied. Moreover, if the Cell is empty but still has an inflow (with a matching outflow), mass will accumulate in the Cell. If the Cell then refills, any mass left behind (or accumulated) in the Cell would be released suddenly (and this itself could result in unrealistic spikes).</div></div><div><br /></div><div>Of course, if the Cell emptied at least partially due to evaporation (which would not be unusual, for example, for a surface water body that went dry), some mass realistically <u>would </u>in fact be left behind in the Cell, since evaporation does not transport mass (and mass would eventually precipitate out of solution as water evaporated). The discussion above, however, refers to the fact that even if the Cell empties due to outflows that transport mass (and there is no evaporation), mass will be (unrealistically) left behind for numerical reasons. </div><div><br /></div><div>Numerically, these two problems arise for two different reasons. The error associated with mass being left behind in an empty Cell is a direct outcome of using an implicit approach to solve the equations. The error associated with rapidly changing Cell volumes is a result of a particular algorithm implemented by GoldSim (the use of fractional timesteps). This algorithm improves accuracy under most conditions, but can produce erroneous concentrations with rapidly changing media amounts. A detailed explanation of why these problems arise is provided at the end of this article.</div><div><br /></div><div>If the conditions that can lead to either of these two problems occur, warning messages will be written to the Run Log. In particular, GoldSim monitors the volume of the Reference Fluid and writes a warning message if this is changing in such a way that it could cause erroneous results. It also writes a (separate) warning if the amount of any media (typically the Reference Fluid) involved in an advective mass flux goes to zero.</div>
<p>Fortunately, when these problems do arise, their impact can be minimized as described below.</p>
<h2 style="text-align: left;">Addressing the Problem</h2>
<p>The approach to addressing this problem is to prevent the volume from actually reaching zero, and reducing the errors produced as it approaches zero to an acceptable level by dynamically adjusting the timestep.</p>
<p>This can be done as follows:</p><h3 style="text-align: left;">Step 1</h3></div><div>Create a non-zero Lower Bound for the media amounts that are rapidly changing in the Cell (typically the Reference Fluid water, but could be another Fluid, or a Solid if you were simulating advection in these media). Such amounts should be modeled using a Pool (or Reservoir) element.</div><h3 style="text-align: left;">Step 2</h3><div>Define a maximum timestep allowed for that Cell based on the Cell media amount, and the inflows and outflows of that media using the following logic:</div><div><br /></div><div class="separator" style="clear: both; text-align: center;"><img border="0" data-original-height="154" data-original-width="616" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEghDwkz7bDpNxGvbGqjSyJ6mtZn0yhmimE26qeZ3anOaswFFD-DtLDj1W_Y1oX0GSCWusNbIvqAsmwDkBhh9TuD-fiwGEgkc2jszvKfd2zhTTJj974-nCIx-Oa6PhKIKHF-PzpERTd_ZeWM/s16000/E0.jpg" /></div><div>Assuming that the volume of the Cell that we are concerned with is computed using a Pool element (named, for example, <b>Volume1</b>), we could express this logic in an Expression (e.g., <b>MaxStep1</b>) that defines the maximum allowable timestep as follows:</div><div class="separator" style="clear: both; text-align: center;"><img border="0" data-original-height="65" data-original-width="486" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjQmHjW2LRmYjwkS-oBh-kzD_3EIoUygZPYg7VzDNQnjGCwuzSZwMuZVvjGErZ15Ee7meD2VWoEv5fgi67o1fWGr02VzWg7clWpg1vmJaPFEUNN6r1FfXPBs9zFYjnyKJcTIDOORCEP2x_F/s16000/eq.jpg" /></div><div>In this equation, <b>Default_DT</b> is the default scheduled timestep and <b>Net_Out</b> is the total outflow rate minus the total inflow rate:</div><div class="separator" style="clear: both; text-align: center;"><img border="0" data-original-height="33" data-original-width="339" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgR7epo_3N9r0CqKd88QE1Rh2CA6a-e4L5ULFuP0O4h4WSK7gDZRwJuYeA9qG3etlZU1xU9Zl34r9tNvtjGz_C3AqTQjsGmVQE_0zNKKeQgwvPCWJKpHDU-4-78m3cA2jAcQldoNM4Ztkap/s16000/e2.jpg" /></div><div>The <b>Allowed Fraction</b> is the maximum allowable fractional change that we select to appropriately minimize the error. GoldSim provides a warning message if the fractional change is too high. For most systems, the fractional change will likely need to be greater than 20% or so to produce a significant error.</div><h3 style="text-align: left;">Step 3</h3><div>If there are multiple Cells that may potentially be changing rapidly in this way, repeat step 2 for each Cell and then compute the minimum of these values. For example:</div><div><br /></div><div class="separator" style="clear: both; text-align: center;"><img border="0" data-original-height="27" data-original-width="270" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh9VpQBJiw6XOpXglrJuWSuTpPNXfMt4_XU55bMshOsLtXLTksMTcrTc-bjwzIDDpy7nAQYshA8dFXhzH-3jsohy4qQqdV_zWcNLMLx3H74NAVRgufrV4WXC4NIvB62s6a1qDV5_5oi8Ai1/s16000/e4.jpg" /></div><h3 style="text-align: left;">Step 4</h3><div>Enter this value into the field defining the <b>Maximum time between updates</b> in the Advanced Time Settings (accessed via the <b>Time </b>tab of the Simulation Settings dialog):</div><div><br /></div><div class="separator" style="clear: both; text-align: center;"><img border="0" data-original-height="437" data-original-width="461" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiwRPMSDfuQOIRgp7Nrtabi8CVT25cuWU3x_9d_1loODOdV9DfeddyGFJs8jsR-V0jVupvHB7xdmo5MG-gXo3LRdUzmrUE6O2k9r6v_7cFpjUMm1SEePpTXVwvnBk-XdXncuxhsam_5HDgb/s16000/grab.jpg" /></div><div style="text-align: left;">Dynamically adjusting the timestep in this manner is discussed in the Goldsim Help file <a href="https://help.goldsim.com/#!Modules/5/dynamicallycontrollingthetimestep.htm" target="_blank">here</a>.</div><div style="text-align: left;"><br /></div><h2 style="text-align: left;">How Well Does This Work?</h2><div>This algorithm works very well and is generally very efficient (the timestep is only minimized rarely and when it needs to be). </div><div><br /></div><div>The two parameters that control the accuracy are the <b>Allowed Fraction</b> and the <b>Lower Bound</b>. The smaller these values, the smaller the error. Of course, as these values are reduced, the timestep becomes smaller (and the computational effort increases). As a result, some experimentation may be required to determine the most appropriate values for a particular system. As pointed out above, for most systems, the fractional change will likely need to be greater than 20% or so to produce a significant error. Of course, a larger Lower Bound also results in more mass left behind in an “empty” Cell, but in many cases, this may not pose a problem (e.g., it quickly re-enters the system when the Cell refills). </div><div><br /></div><div>The higher the net outflow (<b>Net_Out</b> above) as the volume approaches zero, the greater number of timesteps that will be required (e.g., the smaller <b>Allowed Fraction</b> may need to be). It should be noted, however, that in the real-world, outflow rates generally decrease as the volume decreases (due to natural feedback loops). For example, as the volume of a pond decreases, the surface area of the pond decreases, and the evaporation rate decreases. Similarly, as a pond volume decreases, the pumping rate will often be lowered (e.g., either by turning off one of several pumps or adjusting the pumping rate of variable speed pumps). These kinds of feedback loops result in a more gradual approach to the Lower Bound (and it is strongly recommended that you represent them in your model if they are present).<br /><br /></div><h2 style="text-align: left;">Numerical Details: Why Do These Problems Occur?</h2><div>For those of you who are interested in the numerical details of how GoldSim solves the transport equations, below I describe <u>why</u> the problems we discussed above occur. You do not need to understand these details to use the method discussed above. However, in this section, I will also discuss an alternative approach that will be available for addressing these problems in the next GoldSim release (expected later this year). While not suitable for all systems, this new approach will be suitable for some.</div><div><br /></div><div>As stated above, there are actually two separate issues involved: 1) when the fractional change in the amount of media in a Cell is high (e.g., > 20%) over a timestep (this most commonly happens when the volume is very low and rapidly changing - either emptying or filling), computed concentrations in a Cell can show unrealistic spikes; and 2) if a Cell completely empties (the volume goes to zero), some mass will be left in the Cell after it has emptied.</div><div><br /></div><div>Numerically, these two problems arise for two different reasons. The error associated with mass being left behind in an empty Cell is a direct outcome of using an implicit approach to solve the equations. The error associated with rapidly changing Cell volumes is a result of a particular algorithm implemented by GoldSim (the use of fractional timesteps). This algorithm improves accuracy under most conditions, but can produce erroneous concentrations with rapidly changing media amounts.<br /> </div><h3 style="text-align: left;">Fractional Timesteps</h3><div>Let's discuss the latter issue first. GoldSim employs a backwards difference (fully-implicit) algorithm to solve the Cell equations. This approach has the advantages of being unconditionally stable, conserving mass, and having bounded error levels. In order to enhance the accuracy of the backwards difference method, GoldSim automatically divides every full timestep (i.e., the timestep you specify in the Simulation Settings) into a number of <b style="font-style: italic;">fractional timesteps </b>(up to 10, depending on the user’s selected precision level, as we will discuss below). A key point to understand is that these fractional timesteps are used only when carrying out the Cell computations, and are not applied to other GoldSim model elements outside of Cell nets (such as volumes or flow rates). These other variables stay constant over the full timestep and do not change during the fractional timesteps.</div><div><br /></div><div>Using fractional timesteps is a very computationally efficient way to enhance the accuracy of the solution. This is because 1) only the Cell nets are updated during these fractional timesteps; and 2) numerically the fractional timesteps are computed via matrix calculations in such a way that it takes less computational effort than simply shortening the actual full timestep.</div><div><br /></div><div>The mass transfer terms in the matrix equations solved by GoldSim are a function of the mass in the Cell, as well as a number of other parameters (e.g., volumes and flow rates). For example, GoldSim must compute a concentration for each solute being advected, and this requires the volume (and other parameters if sorption is occurring). For each fractional timestep, GoldSim updates the amount of mass in the Cell. To do so, at each fractional timestep GoldSim needs to compute concentrations (which in turn are used to compute mass transfer rates for that fractional timestep). However, as pointed out above, the values for the other parameters (most importantly, the media amounts such as the volume) are <u>not </u>updated every fractional timestep (we only have values for the current and previous full timestep). Moreover, the nature of the fractional timestepping algorithm is such that each fractional timestep within a full timestep must use the<u> same value</u> for the variables such as volume (we can’t, for example, interpolate between the two timesteps). However, using the value of the volume at the end of the full timestep to compute concentrations (used in turn to compute mass transfer rates) during a fractional timestep is not appropriate for all of the fractional timesteps (only for the last one). To address this, an approximation is used to handle systems in which the amount of media in the Cells is changing over a timestep. Under these circumstances, an <i><b>effective value</b></i> is used to represent the amount of each medium for the purpose of computing concentrations to compute mass transfer rates during the fractional timesteps. The effective value is a weighted average of the values at the current and previous timestep (it is weighted more heavily toward the current timestep).</div><div><br /></div><div>The use of an effective value for the media amount reduces the error in the computed concentrations (and hence mass transfer rates) used in each fractional timestep, but does not eliminate it completely (i.e., it is better than using the value at the end of the timestep for all fractional timesteps, but it is still an approximation). If the volume is changing slowly, it provides a very accurate solution. However, when the media amounts do change significantly over a timestep, computed concentrations in a Cell can show jumps or drops (i.e., positive or negative “spikes”). For example, when the volume is dropping, not enough mass is moved out, so the concentration artificially increases, and when the volume is rising, too much mass is moved out, so the concentration artificially decreases. These can result in inaccurate mass transfer rates and can therefore propagate downstream producing additional inaccurate behavior. Such errors are a consequence of the fractional timestepping algorithm (and the requisite use of a weighted average for the media amounts).</div><div><br /></div><div>The solution we discussed above minimizes any errors to an appropriate level by dynamically reducing the timestep to ensure that the media amounts do not change too rapidly over a timestep. Under these conditions, the fractional timestep algorithm produces accurate results.<br /><br /></div><h3 style="text-align: left;">An Alternative Solution to Rapidly Changing Volumes </h3><div>If we choose to use fractional timesteps, we cannot avoid the error associated with rapidly changing media amounts (without dynamically shortening the timestep). However, if we <u>do not</u> use fractional timesteps, we can avoid the error, but in order to do so we also must no longer use a weighted average for the media amounts. </div><div><br /></div><div>Within GoldSim there are three <b>Solution Precision</b> settings that you can select (from the Options dialog accessed via <b>Model|Options</b>): Low, Medium (the default) and High. These settings control a number of parameters associated with how GoldSim solves the contaminant transport equations. One of these is the number of fractional timesteps used. In particular, the value is 1 for Low (i.e., no fractional timesteps are used), 4 for Medium and 10 for High. </div><div><br /></div><div>In the current version (12.1) as well as previous versions of GoldSim, a weighted average of media amounts is used for computing the mass transfer terms (as discussed above). While this is required for Medium and High precision, it is not, in fact necessary, for Low Precision (and the advantage gained by doing so is small). In the next release of GoldSim, a weighted average will no longer be used when running under Low Precision (instead, the <u>current</u> value for parameters like the volume is used, which is consistent with a fully implicit approach). Under these conditions (running with Low Precision), no spikes are produced due to rapidly changing volumes.</div><div><br /></div><div>So based on this, you may think that the solution to avoiding concentration spikes (once the new version is available) is simply to run the model with Low Precision (as opposed to running with Medium or High Precision and using the dynamic timestepping approach outlined previously). For some models, that may indeed be an appropriate solution. However, just because solution does not produce spikes does not mean it is sufficiently accurate. As pointed out above, the fractional timestep algorithm was implemented in GoldSim because it provides an increase in accuracy in a very computational efficient way. </div><div><br /></div><div>As a very simple illustration of this, consider a model in which we are computing the decay of 100 g of species with a half-life of 5 days in a Cell (with no inflows or outflows) for a period of 10 days, using a 1 day timestep. The solution is shown below:</div><div><br /></div><div class="separator" style="clear: both; text-align: center;"><img border="0" data-original-height="155" data-original-width="390" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgnZ2UE9H1ZEz-MF3tu5y5z7ZhVrb-Tk2IUwQHPjfYVs3JaWZkO7Juf5IOG2iyvQrW7Ht3bDQY-LxMyf9zxpAinDxC1HeB1voKtcdmDQ3MatHbuGSUYXNvalxkFsjFMFidxKb89m2qv9qLZ/s16000/Table.jpg" /></div><div class="separator" style="clear: both; text-align: center;"><br /></div><div>As can be seen, there is a significant accuracy improvement as the Precision Setting increases. In this simple example, to achieve the same accuracy as the Medium Precision run, a Low Precision run would require 4 times more timesteps. But the key point is that the Medium Precision run is not as computationally intensive as a Low Precision run with 4 times the number timesteps (which are required to achieve the same accuracy). How much less computationally intensive? It depends on the nature of the model (e.g., how many other elements not associated with the Cell network exist in the model), but the advantage is likely to be at least 2 and could in some cases approach 4.</div><div><br /></div><div>It is also important to understand that while in this simple decay example, the solution accuracy was only controlled by the number of fractional timesteps (1, 4 or 10), other variables controlled by the Solution Precision can play a role in more complex models (e.g., with different types of mass transport processes, more complex transient behavior, isotopes, solubility constraints, etc.).</div><div><br /></div><div>Hence, this alternative approach using Low Precision (available in the next version of GoldSim ), while effective at avoiding spikes, can have a cost in terms of accuracy. For some models (particularly those with no solubility constraints, no rapidly decaying species and no isotopes) you may be able to simply run at Low Precision (in order to avoid spikes). However, you may then need to decrease the size of the timestep to accurately solve the mass transport equations (and this would likely be more computationally intensive than using Medium Precision and dynamic adjustment of the timestep discussed above). Certainly for complex mass transport models (e.g., with rapidly decaying species, solubility constraints and/or isotopes), however, using the Low Precision approach is not recommended.<br /><br /></div><h3 style="text-align: left;">Cells Going Empty and Leaving Mass Behind</h3><div><div>The second problem we discussed was the fact that if a Cell completely empties (the media amount goes to zero), some mass will be left in the Cell after it has emptied. This issue of leaving mass behind in an empty Cell occurs whether or not fractional timesteps are used (i.e., it will also occur in the next version of GoldSim when Low Precision is specified). </div><div><br /></div><div>The problem arises because when formulating the mass transfer terms for the matrix equations describing the Cell network, the implicit solution method by definition uses the mass (and the media amounts such as volume) at the <u>end </u>of the timestep (or, in the case of Medium and High Precision, a weighted amount). As a result, during the timestep at which the Cell goes empty, the mass transfer rate is either zero (for Low Precision, since we cannot compute a concentration if the media amount is equal to zero) or is too low (for Medium and High Precision, since we have used a weighted media amount that overestimates the media amount and therefore underestimates the concentration and hence the rate). Hence, during that final timestep before the Cell empties we either transfer no mass out at all (Low Precision) or too little mass (Medium or High Precision). That is, in all cases, some mass is left in the Cell (Low Precision leaving more mass than Medium Precision, and Medium more mass than High Precision). </div></div><div><br /></div><div>The only solution to this problem is to set a non-zero Lower Bound. The amount of mass left behind can be minimized by setting the value appropriately low. It is also important to emphasize that this mass is not "lost". It still exists in the Cell, and in most models where a Cell goes dry, it very likely will subsequently fill again, so that the mass re-enters the system.</div><div><br /></div><div>To keep this in perspective, it should be noted that in the real-world, the behavior of solutes in a system in which a Cell was emptying would likely be extremely complex, and hence it would very difficult (if not impossible) to model their concentrations accurately. This is because the processes controlling concentrations as a Cell empties are often difficult to accurately represent. In particular, in most cases, one of the key outflows for a Cell that is emptying (e.g., a pond) would be evaporation. In such a case, solutes would indeed precipitate out of solution before the Cell emptied (and therefore be left behind in the Cell). Moreover, during this period (and the period when the Cell was refilling), the geochemistry of this high concentration solution would be quite complex indeed.</div><div><br /></div>GoldSimhttp://www.blogger.com/profile/18105288640248926754noreply@blogger.com0tag:blogger.com,1999:blog-8601426913066236591.post-21998601305263588412020-12-14T16:19:00.009-08:002021-01-30T14:17:19.126-08:00GoldSim Contaminant Transport Module Online Course, Excerpt #5: Chemical Processes Controlling Mass Transport<p>Posted by <a href="https://blog.goldsim.com/p/blog-contributors.html#Rick">Rick Kossik</a></p><div class="separator" style="clear: both; text-align: center;"></div>This is the fifth installment of short excerpts from the online CT Course that is currently under development. These excerpts are all, by necessity, from the conceptual parts of the Course, as those parts that are "hands-on" don't necessarily work well in a blog format. However, there is plenty of conceptual matter to discuss (the Course is very detailed and extensive), so I'm hoping you will still find these excerpts useful. <div><br />The <a href="https://blog.goldsim.com/2020/07/goldsim-contaminant-transport-module.html">first excerpt</a> simply provided the outline describing how the Course will be organized. The <a href="https://blog.goldsim.com/2020/09/goldsim-contaminant-transport-module.html">second excerpt</a> discussed the key decisions required before starting to build a contaminant transport model. The <a href="https://blog.goldsim.com/2020/10/goldsim-contaminant-transport-module.html">third excerpt</a> discussed the problem of uncertainty in contaminant transport models and the underlying philosophy of the GoldSim Contaminant Transport Module. The <a href="https://blog.goldsim.com/2020/11/goldsim-contaminant-transport-module.html">fourth excerpt</a> provided an overview of the physical processes controlling mass transport (advection, dispersion and diffusion).</div><div><br /></div><div>This excerpt provides an overview of the chemical processes controlling fate and transport.<div><span><a name='more'></a></span><div><p>In addition to the physical processes described in the previous excerpt, solutes can be impacted by chemical processes. This can include both abiotic and biologically-mediated reactions in which the chemical is transformed or converted to other chemicals, such as radioactive decay or degradation of an organic chemical by bacteria, reactions that cause a solute to precipitate out of solution and form a solid, the sorption of a chemical from water onto a solid, and the volatilization of a chemical from water to air.</p><p>When modeling a chemical process, it is important to differentiate between whether we are representing the process from a standpoint of <i><b>kinetics </b></i>or <i><b>equilibrium</b></i>. Kinetics describe the rate at which a process takes place. Equilibrium describes the system in terms of the final expected outcome. Equilibrium models of a chemical process are appropriate if the process is rapid compared to other processes of interest. </p><p>For example, a radioisotope that was slowly decaying to a daughter (and was not ingrowing from a parent) could not be treated using an equilibrium approach, since equilibrium (in which the species has decayed completely to some other species) may not be reached for thousands of years, at which point the “expected outcome” would be that it is effectively gone. The kinetics of the reaction would need to be specifically modelled. On the other hand, the partitioning of a metal between water and a porous medium within a flowing aquifer may perhaps be considered rapid (relative to the flow of water) and hence could be treated using an equilibrium approach.</p><p>Within a GoldSim model, you will typically treat some processes by explicitly modeling the kinetics (e.g., radioactive decay) while treating other processes using an equilibrium approach (e.g., sorption onto porous media).</p></div><div><u><b><span style="font-size: large;">Reactions</span></b></u></div><div><p>Let’s first consider the process of abiotic or biologically-mediated chemical reactions that degrade a chemical (and produce reaction products that you may or may not be interested in subsequently tracking). Chemical reactions can be described in terms of their <i><b>order</b></i>. A <i><b>first-order</b></i> <i><b>reaction </b></i>is one in which the rate is proportional to the chemical’s concentration raised to the first power. Radioactive decay is a classic example of a first-order reaction. To see how such a reaction would be treated mathematically, let’s consider the simple example with two tanks that we discussed in the previous excerpt: </p><div class="separator" style="clear: both; text-align: center;"><img border="0" data-original-height="254" data-original-width="527" height="193" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhU5JgAHCFhnB1vQBeFeouRBGOvFGP8aPVoCf0N5r8VKzw9vPSEyqPUn8uX1qRPCvs6erFe6CL8UnieP_wu7G4uJ-gaSMMFNs-QkC3GmaiwZrKXXx4ygMEQWVT0T0w6BBXOoOOLwEqo1nMO/w400-h193/TwoTanks1.jpg" width="400" /></div></div></div></div><p>Recall that the tanks are always completely and instantaneously mixed and water flows through the tanks at a constant volumetric rate of Q (such that the volumes remain constant). Initially, both tanks have no chemical mass in them, but at some point we start to inject mass into the inflow to Tank 1 (such that the inflow has a constant concentration of S). The system includes only the two tanks (and the pipe connecting them). There is a boundary upstream of Tank 1 (the mass flowing in is an external forcing function) and there is a boundary downstream of Tank 2 (we no longer track the mass after it leaves Tank 2).</p><p>However, let’s now consider that the chemical being introduced (we’ll call it A) decays with a rate constant of λ (dimensions of inverse time). Moreover, let’s assume that when it decays it produces a daughter product (named B). </p><p>In the previous excerpt, the two tank system was represented by two equations. However, since we have two species being modeled, we now have four equations (two for each species):</p><div class="separator" style="clear: both; text-align: center;"><img border="0" data-original-height="270" data-original-width="235" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhaByRByrwcSO1JPozZP1p_LIbxMzR5YvSYWDtwdeUcI2WpujV78IxfxnDFzzgLs3styWh6YIGvD52A_FH0mVVtaGfRWaIa4CxC1DChVxAUFJE2CbFnIJGa9jTufMW5R5IYLxlFnyg3OCmJ/s0/Equations.jpg" /></div><p>In these equations the various subscripts now refer to both the tank (1 or 2) and the species (A or B). The terms in red represent the reaction. The first two equations describe the rate of change of A in the two tanks, and are identical to the equations presented in the previous excerpt, with the addition of the reaction terms. In both equations, the rate of change of mass due to this first order reaction is simply -λM.</p><p>The last two equations describe the rate of change of B in the two tanks. They are similar to those for A with several key differences: 1) since only A is being introduced into Tank 1, there is no QS term, and 2) the decay in A results in the ingrowth of B (such that in the reaction term, the rate of addition of B is proportional to the mass of A).</p><p>If the reactions involved were higher-order, such that the rate was a function of a concentration to a power and/or the concentration of multiple species (i.e., multiple reactants), the equations would become more complex (e.g., the mass terms might be raised to a power). </p><p>GoldSim can very easily handle first-order decay and ingrowth. It can also handle higher-order reactions, but these equations become more complicated for you to represent in a model and more difficult for GoldSim to solve.</p><div><u><b><span style="font-size: large;">Sorption</span></b></u></div><p></p><p class="MsoNormal">Another common chemical process impacting the transport of
solutes is <b><i>sorption</i></b>. Sorption describes a process in which
chemicals become associated with solids that are present in the system.<span style="mso-spacerun: yes;"> </span>That is, the chemicals <b><i>partition</i></b>
between water and the solid. This can have a drastic impact on transport.<span style="mso-spacerun: yes;"> </span>If the solid is immobile (e.g., sand in an aquifer),
sorption effectively decreases the effective concentration and hence the rate
of advection is decreased.<span style="mso-spacerun: yes;"> </span>Note,
however, that a chemical could be sorbed onto a solid that is suspended in a
fluid.<span style="mso-spacerun: yes;"> </span>Fluid advection then transports
the suspended solids (and hence the sorbed mass). <o:p></o:p></p>
<p class="MsoNormal">Sorption is a very complex process. For example, it can be
reversible (the chemical can move back and forth from fluid to solid depending
on the fluid concentration) or non-reversible (once it is sorbed onto the
solid, it remains there).<span style="mso-spacerun: yes;"> </span>The degree of
sorption can also be impacted by a limited number of sorption sites on the
solid that are available (such that the solid effectively has a sorption
capacity). <span style="mso-spacerun: yes;"> </span>The degree of sorption of one
chemical may be a function of the other species present in solution (in a very
complex way). And the sorption process itself may be slow (i.e., the kinetics
of the sorption process may be important).<span style="mso-spacerun: yes;">
</span>All of these aspects (and more!) make sorption a complex process to
model.<span style="mso-spacerun: yes;"> </span>However, one of the simplest (and
relatively common) representations of sorption is to assume equilibrium
(instantaneous) reversible linear partitioning.<span style="mso-spacerun: yes;">
</span>That is, it is assumed that when the chemical enters the compartment of
interest (e.g., a well-mixed tank), it is immediately partitioned between the
water and the solid according to an equilibrium <b><i>partition coefficient</i></b>
that describes the ratio of the concentration on the solid to the concentration
in the water at equilibrium:<o:p></o:p></p><p></p><div class="separator" style="clear: both; text-align: center;"><img border="0" data-original-height="48" data-original-width="60" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjCgz23a36Vv5cstEA5bPXBNTdoT4lpGdTINmjQo_LrxN_4VzwZ-o6C50SLuzgNE3E5gH4v9U9jiyRYzy6JvhIzw471H4iIA7krkTL5xsOWIPHghWA1S9KPrCAG9XrLXOebhKiNFdBJyL2R/s0/Eq2.jpg" /></div><p>In this equation, Cs is the equilibrium concentration associated with the solid (dimensions of mass chemical per mass of solid), Cw is the equilibrium concentration in the water (dimensions of mass chemical per volume of water), and K is the partition coefficient (dimensions of volume water per mass solid).</p><p>In the absence of sorption, the concentration of a species can be expressed simply as M/V (where M is the mass and V is the volume of water). Assuming equilibrium partitioning with a single solid, we can express the concentration of a species in the water as:</p><div class="separator" style="clear: both; text-align: center;"><img border="0" data-original-height="44" data-original-width="97" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgxDKv7SoAw8z7dKyRr8lfG7whP4HYkux1mGGOHnqoOTALi1lP9CBBaEON3CYhi-ylcVhJz9YyOtmfAKdj81h2XUUHn-S8LW9ntn0D3p0j4nGY87w2K9fVzxetnfF8RcCXY8dEk_ypYWiUD/s0/Eq3.jpg" /></div><div>where G represents the mass of solid present.</div><div><br /></div><div>The corresponding concentration of the species on the solid can be expressed as follows:</div><div><br /></div><div class="separator" style="clear: both; text-align: center;"><img border="0" data-original-height="48" data-original-width="92" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiL8ep-bcnUyRIVdCFB_9cPxeCQBwyrxellqGabfUa3fYIdwyFX6gmCxRHABTOOyWd9i0XT4HM9hC3nKRt5v5_zszY84enC-fY3bazLwmHplHL9lhinOyN1c6awW_ZkJ42p_vNdC8ItkkU5/s0/Eq4.jpg" /></div><div><br /></div>Note that these equations can easily be expanded to represent equilibrium between multiple fluids and multiple solids.<br /><div><br /></div><div>Considering our two tank problem again (and for simplicity, considering only a single species and no decay), let’s assume that we have some solid in the tank that is suspended and well-mixed throughout. Let’s assume that the chemical partitions between the water and the solid instantaneously as it enters the tank. Finally, let’s assume pipes carrying water out of Tank1 and Tank2 have filters, so that none of the solid can leave the tanks (only the dissolved chemical is advected out of the tanks). In this case, we can write the governing equations as:</div><div class="separator" style="clear: both; text-align: center;"><img border="0" data-original-height="129" data-original-width="224" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEipSkBZ7in8gPmLR32ye0bV5FpVJ3RikwiJMhDl4ae-mjOHRbj2v8Fplo3OoW3RMlndqmOA_cuXOtgURqavjcM6PU5jEAUkbQ4wWXnJxmKwA_G1qwdSzzFiIXOx68GIjL2dnkMJdPehzdt9/s0/Eq5.jpg" /></div><p>Of course, if the flow was not filtered, we would need to account for the transport of the chemical that was sorbed onto the suspended solids. In fact, in this simple case, if all of the solid was suspended (and none was filtered), sorption would have no impact on the mass transport. It would still have an impact, however, if only a portion of the solid was filtered (or some was not suspended). </p><p>GoldSim can very easily handle linear equilibrium sorption onto immobile solids, as well as sorption onto suspended solids that move with the flow. It can also handle more complex situations (e.g., non-linear sorption in which the degree of partitioning changes with concentration), but like the case for higher-order reactions, these equations become more complicated for you to represent in a model and more difficult for GoldSim to solve.</p><div><span style="font-size: large;"><b><u>Volatilization</u></b></span></div><p>In the discussion above, we discussed the partitioning of a chemical between a fluid (water) and a solid. However, we can use the same approach to represent the partitioning of a chemical between two fluids. For example, if you had two fluids in a jar, and added a organic chemical, it would partition between the two fluids. You could do such an experiment with oil and water. One of the fluids could also be air.</p><p>In particular, if the chemical was <i><b>volatile </b></i>(had a significant vapor pressure in air) it would tend to volatilize from water into air. For a chemical present in a lake or some other body of water, this could be a significant loss mechanism.</p><p>Mathematically, the partitioning of a volatile chemical between air and water can be described in a similar manner to the partitioning between a solid and water. That is, it can be described using an equilibrium partition coefficient that describes the ratio of the concentration in the air (in terms of mass chemical/volume air) to the concentration in the water (in terms of mass chemical/volume water):</p><div class="separator" style="clear: both; text-align: center;"><img border="0" data-original-height="43" data-original-width="56" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgIl0Ew0t4xkg4bNNv7oxNgXKbOqB4hdS86NhTBY_LNE_2cEvb5Fz82qpGh2oHuzHAHBWHmlTw1_ohEsLQRMVbKQKibM4KbPLI4jJRe-kAZVzV9S6ClU12TEVwx4IPhRBAMXLOS-XWpdjuF/s0/Eq6.jpg" /></div><br /><div><div>In this case (particularly for volatile organic compounds), the partition coefficient, H, is described as the <i><b>Henry’s law constant</b></i>. It has dimensions of volume water per volume of air.</div><div><br /></div><div>In most situations, it would not be realistic to assume, for example, that an entire water body (e.g., a lake) was at equilibrium with some portion of the atmosphere above the lake. However, we can still use this partitioning relationship to model the process of volatilization by assuming that the kinetics of the process are controlled by diffusion of the chemical through some small boundary layers (in both the water and the air), and that at the interface itself, the transition from water to air can be described using the Henry’s law constant.</div></div><div><br /></div><div><span style="font-size: large;"><b><u>Solubility</u></b></span></div><div><div><br /></div><div><div>In many cases, we are interested in modeling solutes that are present at relatively low concentrations. In some cases, however, at some locations in the system the solutes may be present at high enough concentrations such that they <i><b>precipitate </b></i>out of solution (i.e., exist in both a dissolved state as well as a solid or liquid state). For example, an anion like Ca+2 could precipitate out to form the solid calcite, or an organic compound may be present in such quantities that it cannot totally dissolve and some would be present as a separate liquid phase (that either floats, sinks, or could be suspended as small globules).</div><div><br /></div><div>In these situations, the solute is still present in water, but its concentration is fixed at its <i><b>solubility </b></i>limit. As long as the solid (or in the case of the organic, pure liquid) phase exists, the solute will be present at the solubility limit. It can drop below the solubility limit (e.g., if all of the solid or liquid phase is removed and the water is subsequently mixed with water at a lower concentration), but (unless under very special circumstances) cannot exceed the solubility limit.</div><div><br /></div><div>This process can obviously have an enormous impact on mass transport, as it has the impact of limiting the dissolved concentration (and hence the advective flux) of contaminants through a system. In fact, solubility plays the key role in many treatment processes (chemicals are added to cause precipitation and then the solid is removed from the system). In many systems, the concentration of the contaminant at its source (e.g., in an engineered disposal facility) is effectively fixed by solubility constraints. Ignoring these in a model could overestimate the actual concentration by many orders of magnitude. </div><div><br /></div><div>Hence, it is important to account for this process if your solute concentrations would otherwise exceed solubilities. As you can imagine, however, modeling the chemical processes controlling solubility can be quite complex. For example, a particular metal may form multiple solids and different dissolved complexes, depending on the other solutes present in solution as well as the chemical characteristics of the water (e.g., pH, redox).</div><div><br /></div><div>For some applications, it may be necessary to model the various geochemical processes in great detail. GoldSim itself cannot carry out detailed geochemical calculations (e.g., it does not have a database of geochemical data, nor does it “understand” the various chemical reactions). You could, however, dynamically link GoldSim to a tool that specifically does so. (Doing so, however, is quite complex and would require very advanced GoldSim skills).</div><div> </div><div>In many cases, however, such an approach may not be necessary or appropriate at all. A simpler approach, such as specifying a solubility value for each species that you are modelling (representing it as a constant, or describing how it changes temporally and spatially) may be appropriate. GoldSim does support this approach. </div></div></div><div><br /></div><div>With such an approach, in all of the equations we have described above, when accounting for solubility constraints, the concentration in water (assuming in this example, we also have sorption occurring) is modified as follows:</div><div class="separator" style="clear: both; text-align: center;"><img border="0" data-original-height="56" data-original-width="185" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgKWuyNAJnifqfpiXZpbNpVg6omHxTyCWaSWcBuKZKoeCgr2KRVSg-5VCU2a-ZaVeQ9lVlSapechqn_T9sKEDjA0n4Hed1egzPbVksTGfNmCehfcKu00GlhuS0A148nttCs6FOBizzpKvcw/s0/Eq7.jpg" /></div><br /><div>In this equation, Csol,w is the specified solubility in water. (It should be noted that GoldSim is actually more sophisticated than simply assigning a solubility to each species being simulated. If you are modeling multiple radioisotopes, the solubility applies to all the <i><b>isotopes </b></i>of a particular element, not to the individual isotopes, and GoldSim accounts for this.)</div>GoldSimhttp://www.blogger.com/profile/18105288640248926754noreply@blogger.com0tag:blogger.com,1999:blog-8601426913066236591.post-24677507071190355572020-11-13T13:34:00.010-08:002020-12-15T08:50:35.228-08:00GoldSim Contaminant Transport Module Online Course, Excerpt #4: Physical Processes Controlling Mass Transport<p>Posted by <a href="https://blog.goldsim.com/p/blog-contributors.html#Rick">Rick Kossik</a></p><div class="separator" style="clear: both; text-align: center;"></div>As I noted in previous blog posts, I am currently working on an online CT Course. In order to provide some useful material for users in the meantime, I plan to post excerpts from time to time as I slowly progress through the development of the Course. <br /><br />The <a href="https://blog.goldsim.com/2020/07/goldsim-contaminant-transport-module.html">first excerpt</a> simply provided the outline describing how the Course will be organized. The <a href="https://blog.goldsim.com/2020/09/goldsim-contaminant-transport-module.html">second excerpt</a> discussed the key decisions required before starting to build a contaminant transport model. The <a href="https://blog.goldsim.com/2020/10/goldsim-contaminant-transport-module.html">third excerpt</a> discussed the problem of uncertainty in contaminant transport models and the underlying philosophy of the GoldSim Contaminant Transport Module. <div><br /></div><div>This excerpt finally starts to get a bit more technical, and provides an overview of the physical processes controlling mass transport (advection, dispersion and diffusion).<br /><div><div><br /></div><span><a name='more'></a></span><div><h1><u><b><span style="font-size: large;">Advection</span></b></u></h1></div></div></div><div><p>The cornerstone of any mass transport model is the concept
of <b><i>mass balance </i></b>or<b><i> mass conservation</i></b>. When mass transport equations are solved, it is necessary to discretize
space into discrete volumes or compartments. Mass is spread out equally
throughout any particular discretized volume instantaneously (i.e., the volume
is instantaneously well-mixed). For each such compartment in the model (and for
each chemical or contaminant being considered) the mass balance equation takes
the following form:<o:p></o:p></p>
<p>(Rate of change of mass) = (mass
transport in) – (mass transport out) + (mass production internally) – (mass
elimination internally)<o:p></o:p></p>
<p>To discuss the various processes here, we will consider this equation for some very simple examples.<o:p></o:p></p>
<p>Let’s first consider two tanks, each with a constant volume
of V:<o:p></o:p></p><div class="separator" style="clear: both; text-align: center;"><img border="0" data-original-height="254" data-original-width="527" height="193" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhU5JgAHCFhnB1vQBeFeouRBGOvFGP8aPVoCf0N5r8VKzw9vPSEyqPUn8uX1qRPCvs6erFe6CL8UnieP_wu7G4uJ-gaSMMFNs-QkC3GmaiwZrKXXx4ygMEQWVT0T0w6BBXOoOOLwEqo1nMO/w400-h193/TwoTanks1.jpg" width="400" /></a></div><p>The tanks are always completely and instantaneously mixed
and water flows through the tanks at a constant volumetric rate of Q (such that
the volumes remain constant). Initially,
both tanks have no chemical mass in them, but at some point we start to inject
mass into the inflow to Tank 1 (such that the inflow has a constant
concentration of S). The system includes only the two tanks (and the pipe connecting them).
There is a boundary upstream of Tank 1 (the mass flowing in is an external
forcing function) and there is a boundary downstream of Tank 2 (we no longer
track the mass after it leaves Tank 2).</p><p><o:p></o:p></p>
<p>Given this information, we can write the mass balance
equations (one for each compartment, in this case, each tank) in the form of
differential equations to represent this system. We will write these equations in terms of the
mass of chemical, M, and the concentration, C, in each of the two tanks:<o:p></o:p></p><div class="separator" style="clear: both; text-align: center;"><img border="0" data-original-height="124" data-original-width="129" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEj_g6jB_WKb5C-jwy04T_NY0e270LhrnJx6UOWjvsMT9Cupccz1HoUdMw2rlrAwaZT81Jg31eZUmCpnNBWJe4Lejo92qA74zht_xnAI0XsNCIeQCUWH1dG691f8x2DejQ7pFgFxn8HPQPe9/s0/EQ1.jpg" /></a></div><p>We can use the volume to convert concentrations to mass, and
rewrite these equations in terms of only the mass:</p><p><o:p></o:p></p><div class="separator" style="clear: both; text-align: center;"><img border="0" data-original-height="123" data-original-width="141" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhacTO5bSJ9rZFi6XhTODhAYqUin52fCXy47eY37KX7_GY27MRtcFNU0Zx-3k0LUhiTPPxvFwW6Y19lXtIyOkLJlM_OGsOVUyw20w1CUcBgpBa18mM3j9kWL8dK9VypzcJ3YKdHfyYB3wYR/s0/EQ2.jpg" /></a></div><p>Thinking back to your calculus class, you may recognize
these as a system of coupled first-order linear ordinary differential equations. </p><p><o:p></o:p></p><p>
</p><p>The QC (or QM/V) terms represent <b><i>advection</i></b>. Advection
is the transport of material (e.g., contaminants) via the bulk movement of the
medium (typically water) in which those materials are dissolved or suspended. Advection
will typically be the dominant transport processes in systems that you will
model. <o:p></o:p></p><p>In the simple example described above, we had two equations,
one for each “location”, in this case two tanks, each of which were assumed to
be well-mixed. However, what if we had a
physical situation in which we could not assume such a well-mixed system? For example, imagine a pipe of
cross-sectional area A and length L in which water enters at one end and exits
at the other end:<o:p></o:p></p><div class="separator" style="clear: both; text-align: center;"><img border="0" data-original-height="127" data-original-width="505" height="100" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjmbSfM9ys4y5mvTZuPMUrRaVe_P44_Zx1yERjMrFNfLBKJvAp1ZN5xqFPLy8ZzJPfExxsIICGO2yD_zwBDpNHkseSd3_XcvQPGwDHhOiXSaHb9rqU769zxY147kJyGSRHmwmXVZtDObO3l/w400-h100/Pipe.jpg" width="400" /></a></div><p>In this case, if we introduced mass into the pipe at the
upstream end at a constant concentration S (uniformly across the entire
cross-sectional area), the concentration would subsequently vary along the pipe
from 0 to L. Let’s assume that we can
treat the system as fully one-dimensional (i.e., the flow rate and the concentration
is constant across a cross-sectional plane normal to the pipe). In this case, it
can be shown that we could write the governing equation describing that
concentration as follows:</p><p><o:p></o:p></p><div class="separator" style="clear: both; text-align: center;"><img border="0" data-original-height="51" data-original-width="96" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh0q3RxDZ5p4yxQlKDZjk31DjRJynV25c4yhxZMt1ubgwd0otqdPLb48kdu2WcJG9XM9Li-tpRXc_LF6U1wJwvuqQqMAuGnAgRD7QfpstFDxgW1jurk9MoS0ildQU458z1aFS-kVxg9orZ9/s0/EQ3.jpg" /></a></div><p><i>v</i> is the velocity of the flowing water (equal in this
simple example to Q/A, where Q is the flow rate and A is the cross-sectional
area), and x is the distance along the pipe (from 0 to L).</p><p><o:p></o:p></p><p>(If you are interested, a nice explanation of the derivation
of this - as well as the other equations we will discuss below - is provided in
<a href="https://www.wiley.com/en-us/Applied+Contaminant+Transport+Modeling%2C+2nd+Edition-p-9780471384779">Applied
Contaminant Transport Modeling</a> by Zhen and Bennett.)<o:p></o:p></p><p>In this equation, C represents the concentration <u>at any
point</u> along the pipe (defined by x). Note that this is a partial
differential equation, in that C is a function of both time and distance along
the pipe. (To fully describe this system, we would also need to specify
boundary conditions at the upstream and downstream ends of the pipe, but for
the purposes of the present discussion, we don’t need to worry about this.)<o:p></o:p></p><p>The key point to note is that this is a very different type
of equation than when we could simply assume two well-mixed separate
tanks. In particular, in this case, the
concentration varies continuously over the pipe, and the governing equation
(the advective mass transport rate) is defined in terms of a <b><i>concentration gradient</i></b>
(and if we did not impose the assumptions that allowed us to treat the system
in only one dimension, we would need to consider concentration gradients in all
three dimensions). That is, whereas there was an <b><i>implicit</i></b> spatial
component when we considered the two tanks (since the two tanks are in fact
spatially separate), in this case there is now an <b><i>explicit</i></b>
spatial component to the equation. This will require a different approach to
solving the equation than in the tank example.<o:p></o:p></p><p>
</p><p>One final comment about this equation: in the real world this
equation would be unlikely to accurately describe the actual concentration
variation in time and distance along the pipe. If this truly was the correct
description of the system, assuming the pipe started with no contaminant
present, and we started adding contaminant at a constant rate at the upstream
end, if we monitored the end of the pipe, we would see that the concentration
leaving the pipe would go from 0 to S (where S is the concentration added at
the upstream end) in a sharp vertical step (as shown in the red curve below). This
plot of concentration versus time at the end of the pipe is referred to as a <b><i>breakthrough
curve</i></b>.<o:p></o:p></p><div class="separator" style="clear: both; text-align: center;"><img border="0" data-original-height="305" data-original-width="511" height="239" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEizWUozu3Gv7IAVzmtFse5ju79DpojZK2nDJXkI45y74QiGQtzPk7Ne39viZscOImLy4Bs5oWfR8d74M6TYmrkSww5JWCt3s5T_oCSpdoqgZtQtdKV9wINs1UP6QiNV7tzs6RULFC7IjEbn/w400-h239/Breakthrough.jpg" width="400" /></a></div><p>In the real world, however, we would see that this
breakthrough would be spread out or <b><i>dispersed</i></b> to some extent (as
shown in the blue curve). That is, realistically, we can’t explain the behavior
using advection alone and need to also represent whatever process is causing this
dispersion.</p><p><o:p></o:p></p><p>
</p><h1><u><b><span style="font-size: large;">Diffusion and Dispersion</span></b></u></h1><p>We noted above that when a chemical is
transported through a pipe as in our simple example, we would not be able to explain
its breakthrough curve only using advection. We noted that the breakthrough curve would be dispersed. This dispersion is due to the fact that not all of the molecules of the chemical would move longitudinally along the pipe at the same rate. </p><o:p></o:p></div>
<p>In order to understand how we describe and quantify this,
let’s simplify our pipe example even further. In particular, let’s assume we
inject a slug of mass (uniformly over the entire cross-sectional area) at one
end of the pipe, but do not allow any water to flow through the pipe at all.
That is, both ends of the pipe are closed and there is no advection. What would
happen to the concentration of the chemical in the pipe?<o:p></o:p></p>
<p>What would happen, of course, is that the molecules would <b><i>diffuse</i></b>
across the pipe (due to the random thermal motion of the molecules) until
eventually the entire pipe was at a uniform concentration. These random movements can be described
statistically, and the evolution of the concentration in the pipe can be
described using <b><i>Fick’s Second Law</i></b>:<o:p></o:p></p><div class="separator" style="clear: both; text-align: center;"><img border="0" data-original-height="52" data-original-width="107" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiOQzVdsxY0BPdidZqR-SZ7rgyqrs2VdFXuaI3kAu_IvLZzoQAGX2mJ0Ix_xj9FElcMipNsqAvX4ZRWtMh6GOTkBze-ZR83ngqv1s47uT1Phz_upsNcnj32L_yynCPMHp-S8uMWcHB1Dc7e/s0/EQ4.jpg" /></a></div><p>D<sub>m</sub> is the <b><i>molecular diffusion coefficient</i></b>
(dimensions of L2/T).<b><i> </i></b>Molecular diffusion through water is a very
slow process (diffusion of the length of a meter would take on the order of 10
years). Nevertheless, as we will discuss in later Units, this process can be
critical for some applications, particularly those where engineered diffusive
barriers are part of the design and the models have time scales of interest
that are very large (e.g., radioactive waste management applications).</p><p><o:p></o:p></p><p>
</p><p>So let’s return to our pipe example again, and now consider
both advection and diffusion. If we combine the diffusive and advective terms,
our equation for concentration in the pipe looks like this:<o:p></o:p></p><div class="separator" style="clear: both; text-align: center;"><img border="0" data-original-height="54" data-original-width="154" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhiHfGh8XTfeQvVlAR6iue8hIyJEm5vDPGLKkvN6HwYs68d4Bgnm1QdbO_bm8KEdxaIV-UrLX0veTWk0EHYqWTZfySHKn6SQcCal_Rb2dipuev03H_RBhH2DhTbAzgLCGa9Z9AjGRY-twO3/s0/EQ5.jpg" /></a></div><p>Even though we have now included an additional term in our
equation, due to the fact that diffusion is such a slow process, we would find
that our simulated dispersion would still be quite low (the breakthrough curve if
we solved this equation would be still very close to a vertical
line). The dimensionless <b><i>Peclet
number</i></b> can be used to compare the importance of advection to diffusion:</p><p><o:p></o:p></p><div class="separator" style="clear: both; text-align: center;"><img border="0" data-original-height="47" data-original-width="39" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg-DXwM380rnJrZmyLKxEGxlhm4VKdOmoRhv5XjM03rwH_vUZNLMLSpWMorEHCHTVc6A0RFPiRwYPZFFu8wjME2Mb77sPSRwAhAf4sEERkpQd7Y5oN2mORo_Z0Pq_Odsm5ExHfaIXRkcJ2s/s0/EQ6.jpg" /></a></div><p>where v is the advective velocity, L is the distance of
interest and D<sub>m</sub> is the diffusion coefficient. Hence, over a distance
of a meter, and assuming a diffusion coefficient of 1E-9 m2/sec (a typical
value for most chemicals), the advective velocity would need to be 1E-9 m/sec
in order for advection and diffusion to be comparable! This indicates that diffusion is generally only
of interest in the absence of advection. (Note, however, that there
is one special type of diffusive transport process - <b><i>matrix diffusion</i></b>,
which is diffusion <u>perpendicular</u> to the direction of advective flow - that
is important for some types of systems.
In this special case, diffusion can indeed have a substantial impact on advective
systems.)</p><p>So if diffusion does not cause the dispersion we said we
would see in an actual pipe, what does cause it? There are actually two other processes that
can cause dispersion (and these, when present, are generally many orders of magnitude
greater than molecular diffusion). Mathematically
these are treated in the same manner as molecular diffusion. These processes
are <b><i>turbulent (or eddy) diffusion</i></b> and <b><i>mechanical dispersion</i></b>.<o:p></o:p></p><p class="MsoNormal">Turbulent water (or air) motions consist of constantly
changing swirls of fluid of different sizes, referred to as <b><i>eddies</i></b>.
These are small-scale fluctuations superimposed on the large-scale movement of
the fluid. Although we cannot describe these movements exactly, they can be
described statistically in the same way that molecular diffusion can be
described statistically. That is, turbulent diffusion has the effect of
carrying mass in the decreasing direction of concentration (in exactly the same
manner as molecular diffusion does). <o:p></o:p></p><p>For flow through porous media, the fluid is generally moving
much more slowly and is not turbulent. But the groundwater must take detours
around the various solid particles, and these detours result in mixing,
referred to as <b><i>mechanical dispersion</i></b>. This kind of dispersion can
also take place at a larger scale than that of the individual particles, as
water may flow around large-scale regions of less permeable material (referred
to as <b><i>macrodisperson</i></b>).
Like molecular diffusion and turbulent diffusion, mechanical dispersion
has the effect of carrying mass in the decreasing direction of concentration.
</p><p>The total effective Fickian transport coefficient is the sum
of these three processes:<o:p></o:p></p><div class="separator" style="clear: both; text-align: center;"><img border="0" data-original-height="48" data-original-width="223" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhGO75h3qQZdKgSs0Y8ZFfj5gAJ9_RbERZEu-UCnv6FBzYhyqNiwlm5qfJkNj0MAd9WTL1-bP07bceTeQ5JFb0TCvG5-GymY1WYFPzN1Colo6jymCPYnoXvx4zGqonUZa_AM2cHnT3Lvh5x/s0/EQ7.jpg" /></a></div><p>where D<sub>m</sub> is the <b><i>molecular diffusion coefficient</i></b>,
E is the <b><i>eddy diffusion coefficient</i></b> and D is the <b><i>mechanical
dispersion</i></b> <b><i>coefficient</i></b> (and all three have dimensions of
L<sup>2</sup>/T). Typically, one of these dominates for any particular
situation.</p><p><o:p></o:p></p><p>The molecular diffusion coefficient is a function of the
fluid, the size of the chemical diffusing and the temperature. As we shall see in a subsequent Unit, when diffusing
through a porous medium, the properties of the porous medium (e.g., porosity,
tortuosity, saturation) also impact the value. Eddy diffusion coefficients and
mechanical dispersion coefficients depend not on the properties of the chemical,
but on site-specific flow conditions (and hence can vary with time and location
and be anisotropic). They also tend to be scale-dependent (i.e., the values
grow as the size of the system increases due to processes such as
macrodispersion mentioned above).<o:p></o:p></p><p>
</p><p>Focusing on transport through porous media, the mechanical
dispersion coefficient, D, is often approximated as:<o:p></o:p></p><div class="separator" style="clear: both; text-align: center;"><img border="0" data-original-height="26" data-original-width="64" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjjOyoqKzkkt5duQbtBWsqEqbY0vVkyg8uNN191JEOSoDX3guYMvXWJyFgeF4ZoBQzYSMRSKKy5F4WOsrsxAPwT3ncqYbHB0NWdmNniRoiwlKLjbxPl8TK_jV_2Z1fpmsd5_VDoA_2TQvxk/s0/EQ8.jpg" /></a></div><p>where α is the (longitudinal) <b><i>dispersivity</i></b> (dimensions
of L) and <i>v</i> is the <b><i>seepage velocity</i></b> (dimension of L/T),
defined as Q/(θA), where Q is the volumetric flow rate, A is the
cross-sectional area perpendicular to flow and θ is the porosity of the porous
medium. As noted above, the dispersivity is often treated as scale-dependent.</p><p><o:p></o:p></p><p>
</p><p class="MsoNormal">As will be discussed in great detail in subsequent Units,
GoldSim can easily represent all of these physical transport processes
(advection, dispersion and diffusion).</p><p></p>GoldSimhttp://www.blogger.com/profile/18105288640248926754noreply@blogger.com0tag:blogger.com,1999:blog-8601426913066236591.post-44906966198051407812020-10-05T13:26:00.002-07:002021-06-16T12:50:22.818-07:00GoldSim Contaminant Transport Module Online Course, Excerpt #3: The GoldSim Contaminant Transport Modeling Philosophy<p> Posted by <a href="https://blog.goldsim.com/p/blog-contributors.html#Rick">Rick Kossik</a></p><div class="separator" style="clear: both; text-align: center;"></div>As I noted in previous blog posts, I am currently working on an online CT Course. In order to provide some useful material for users in the meantime, I plan to post excerpts from time to time as I slowly progress through the development of the Course. <br /><br />The <a href="https://blog.goldsim.com/2020/07/goldsim-contaminant-transport-module.html">first excerpt</a> simply provided the outline describing how the Course will be organized. The <a href="https://blog.goldsim.com/2020/09/goldsim-contaminant-transport-module.html">second excerpt</a> discussed the key decisions required before starting to build a contaminant transport model. In this excerpt from one of the introductory Units of the Course, I discuss the problem of uncertainty in contaminant transport models and then summarize the underlying philosophy of the GoldSim Contaminant Transport Module.<div><div><br /></div><span><a name='more'></a></span><div><h1 style="text-align: left;"><u><b><span style="font-size: large;">The Problem of Uncertainty in Contaminant Transport Models</span></b></u></h1><p class="MsoNormal"></p><p class="MsoNormal">For most real-world systems, at least some of the
controlling parameters, processes and events are often <b><i>uncertain</i></b>
(i.e., poorly understood or quantified) and/or <b><i>stochastic</i></b> (i.e.,
inherently temporally variable). It is for this reason that GoldSim was specifically
designed as a powerful probabilistic simulator.</p>
<p class="MsoNormal">Although this “problem of uncertainty” applies to any kind
of system you may want to simulate (and it is unfortunately often ignored), due
to the nature of the systems involved, this issue is especially important when
dealing with environmental systems, and particularly so when trying to carry
out contaminant transport modelling.</p><h4 style="text-align: left;"><b>Sources of Uncertainty in Contaminant Transport Models</b></h4><p></p></div></div><div><p class="MsoNormal">If you give it a little thought, the reasons for the high uncertainty associated with contaminant transport modeling should
be clear. Engineered systems (such as a factory or a machine) are, for the most
part, well-defined and understood (e.g., you can typically measure the
important variables and properties of these systems, may have many similar
systems that you can look at to better understand performance, and can often
build and test prototypes). They still have uncertainty in their performance
(primarily due to exogenous environmental variables that may be important, or
perhaps behavior over very long time periods that is difficult to prototype), but
this uncertainty is typically not extremely large (and that is why complex machines
like airplanes are quite safe and predictable).</p>
<p class="MsoNormal">For environmental systems, however, we often have a much
poorer understanding of the system.<span style="mso-spacerun: yes;"> </span>A
major reason for this is that they often cannot be easily characterized (i.e.,
the relevant parameters cannot be easily measured). For example, if trying to
predict contaminant transport through groundwater, it is not practical or
feasible to completely characterize the subsurface environment and determine
the relevant properties (instead, you may have only a handful of data points). This
is complicated by the fact that the properties themselves (e.g., hydraulic
conductivity, chemical environment) are spatially variable. This spatial
variability is important because some of the key parameters controlling mass
transport for a contaminant, such as its solubility and partition coefficients
to various solids, may be extremely sensitive to local environmental conditions
that are difficult to characterize and potentially highly variable (e.g., pH
and redox).<span style="mso-spacerun: yes;"> </span>Relatively small changes in
local environmental conditions could result in order of magnitude changes in
these parameters.<o:p></o:p></p>
<p class="MsoNormal">Some parameters used to describe contaminant transport are
quite difficult to measure at all. An example of this is the dispersivity. Dispersivity is unusual
in that unlike a property like porosity it is not really meaningful to say that
it has some value at a particular point in space. This is because its value is
typically considered to be scale dependent (due to the concept of <b><i>macrodispersion</i></b>).<span style="mso-spacerun: yes;"> </span>Hence, it can be
thought of as a property of the entire system. This, of course, can make it
difficult to quantify (doing so may require a large-scale field experiment that
may not be feasible or practical).<o:p></o:p></p>
<p class="MsoNormal">In some cases, the processes themselves may be extremely
difficult to quantify and poorly understood.<span style="mso-spacerun: yes;">
</span>For example, if your model included a pond with many chemical
constituents, and during the simulation the pond went dry due to evaporation, concentrations
in the pond would be very high (and spatially variable over small distances) and
hence the various precipitation reactions taking place while the pond
evaporates would be quite difficult to predict accurately.<span style="mso-spacerun: yes;"> </span>As a result, the behavior of such a system
would have lots of uncertainty.<o:p></o:p></p>
<p class="MsoNormal">In many cases, extremely important variables required for
predicting performance may be almost entirely unavailable and/or need to be
estimated using very poor information.<span style="mso-spacerun: yes;">
</span>For contaminant transport models, particularly for existing waste sites,
the classic example of this is the source term.<span style="mso-spacerun: yes;">
</span>There may be very limited information available regarding what was
disposed and when it was disposed.<span style="mso-spacerun: yes;">
</span>This imposes a very large uncertainty on any predictive models.<o:p></o:p></p>
<p class="MsoNormal">In addition to these issues, it is often not practical or
feasible to carry out experiments or evaluate alternative designs for environmental
systems you are trying to model. In many cases, it is simply not possible to
build and test alternative designs for a proposed system (such as a mine) – the
system is simply too large to build and test realistic prototypes. The long
time frames involved for some systems also makes this impossible. For example, when
disposing of radioactive waste, highly engineered waste packages are often
used. Laboratory tests can be carried out on these for months or perhaps years
to evaluate their performance.<span style="mso-spacerun: yes;"> </span>But their
design life is typically thousands of years, and it is very difficult to design
experiments to extrapolate performance over such time frames. Models with long
time frames have many other difficulties.<span style="mso-spacerun: yes;">
</span>For example, climatic factors (e.g., rainfall) will typically play an
important role in environmental models. But predicting future climate for
thousands (or even for tens or hundreds) of years in the future is difficult.
And, of course, even for very short duration models (months or years), the stochastic
nature of weather adds uncertainty to many environmental models.<o:p></o:p></p>
<p class="MsoNormal">All of these factors result in very large uncertainties (in
some cases, <u>several orders of magnitude</u>) in many of the parameters,
processes and events associated with contaminant transport models. <o:p></o:p></p><h4 style="text-align: left;"><b>Why is Dealing with Uncertainty So Important?</b></h4><p class="MsoBodyText">Unfortunately, the large uncertainties discussed above are
often ignored. If uncertainties are acknowledged at all, the modeler often does
so by selecting single values for each parameter, labeling them as “best
estimates” or perhaps “worst case estimates”. These inputs are evaluated in the
simulation model, which then outputs a single deterministic result, which
presumably represents a “best estimate” or “worst case estimate”. They may also
carry out some simple sensitivity analyses on some of the parameters.<o:p></o:p></p><p class="MsoBodyText">Unfortunately, dealing with large uncertainties in this
way when making predictions about the performance of an environmental system is
highly problematic.<o:p></o:p></p><p class="MsoBodyText">Oftentimes, the potential behaviors you care about most
(e.g., exceeding an environmental regulation) arise from an unknown combination
of parameter values and assumptions. The “best estimate” approach may not
capture this. Because of this, defending “best estimate” approaches is often
very difficult. In a confrontational environment (e.g., demonstrating that a
particular facility will meet certain regulations), “best estimate” analyses
will typically evolve into “worst case” analyses. However, “worst case” analyses can be
extremely misleading. Worst case analyses of a system are likely to be grossly
conservative and therefore completely unrealistic (i.e., by definition, picking
lots of unlikely “pessimistic” values will almost certainly have an extremely
low probability of actually representing the future behavior of the system). And
it is not possible in a deterministic simulation to quantify how conservative a
“worst case” simulation actually is (i.e., define its probability). Using a
highly improbable estimate to guide policy-making (e.g., “is the design safe?”)
is likely to result in very poor decisions. <o:p></o:p></p><p class="MsoNormal">
</p><p class="MsoNormal">Due the large uncertainties in the parameters, processes and
events associated with contaminant transport models, and the problems with
deterministic approaches described above, GoldSim’s modeling philosophy
revolves around the belief that explicitly representing these uncertainties (by
carrying out probabilistic simulations) is critical. And as we will see below, realistically acknowledging and representing uncertainty has
important implications for how you should build and structure your models.<o:p></o:p></p><h2 style="text-align: left;"><u><b><span style="font-size: large;">GoldSim Modeling Philosophy</span></b></u></h2><div style="text-align: left;"><p class="MsoNormal">The large uncertainties associated with contaminant
transport modelling discussed above strongly informs the
modeling philosophy embodied in GoldSim. This philosophy revolves around the
idea that the complexity and detail that you include in your model should be consistent
with the amount of uncertainty in the system. In particular, when building a model
and deciding whether to add detail to a certain process, you should not just
ask if you <u>can</u> (e.g., can you use a more detailed equation or more
discretization?), but you should ask if you <u>should</u> (does the amount
uncertainty I have in this process justify a more detailed model?). <o:p></o:p></p>
<p class="MsoNormal">An easy way to illustrate this is to consider a trivial
example. Imagine that we had a process
that was described using the equation Y = A + B. A and be have similar magnitudes. A is a parameter that has
three orders of magnitude of uncertainty (that cannot be easily reduced). B, on the other hand, only has an uncertainty
of one order of magnitude. By using a
more detailed model, the uncertainty in B could be cut in half. Should we add more detail to the model of
B? What we need to ask is how reducing
our uncertainty in B will reduce our uncertainty in the “answer” (i.e., Y). Of
course, in this trivial example, reducing the uncertainty in B has no
significant impact on the uncertainty in Y (because it is dominated by the
uncertainty in A).</p>
<p class="MsoNormal">In the real world, of course, the models are not so
trivial. But the basic idea still
applies: we should only add detail (to reduce uncertainty) to a process or
parameter if by doing so we can reduce our uncertainty in the ultimate measure
that we are trying to predict or the question that we are trying to answer. (In fact, probabilistic
modeling supports uncertainty and sensitivity analyses that allows you to
specifically determine if this is the case.)<o:p></o:p></p>
<p class="MsoNormal">This discussion may seems obvious, but anyone who has
reviewed environmental models will readily acknowledge that most models have
details that simply cannot be justified.
The problem is not just that you are wasting time and money by adding
these details. The problem is that such
models can be misleading. The extreme
detail can often act to mask the fact that there are huge uncertainties in the
model, making the model seem more “correct” than it really is.</p><h4 style="text-align: left;">Top-Down Modeling</h4>
<p class="MsoNormal">To avoid this problem, GoldSim supports and embodies a top-down modeling approach. </p><p class="MsoNormal">In general terms, there are two ways to approach any kind of modeling problem: from the "bottom-up", or from the "top-down". “Bottom-up” modeling approaches attempt from the outset to model the various processes in great detail, and typically make use of complex process-level models for the various system components. The emphasis is on understanding and explaining all processes in great detail in order to eventually describe the behavior of the entire system. </p><p class="MsoNormal">While such an approach may seem at first glance to be "scientifically correct", for the following reasons it is generally not the best way to solve many real world problems:</p><p class="MsoNormal"></p><ul style="text-align: left;"><li>The level of detail in a model developed from the bottom-up often becomes inconsistent with the amount of available information and the uncertainty involved. That is, a model is only as good as its inputs, and if you don't have much information, a detailed model is generally no better than a simple one. </li><li>It is often difficult to appropriately integrate and capture interdependencies among the various model components in a bottom-up model, since it is often impossible (or computationally impractical) to dynamically couple the various detailed process-level models used for the components of the system. As a result, important interactions in the system are often intentionally or unintentionally ignored in a bottom-up model. </li><li>It is easy for a bottom-up modeling project to lose sight of the "big picture" (i.e., to "not see the forest for the trees"). As a result, such an approach can be very time-consuming and expensive, with much effort being spent on modeling processes that prove to have little or no impact on the ultimate modeling objectives. </li><li>Finally, such models tend to be very difficult to understand and explain (and hence be used) outside of the group of people who create them.</li></ul><p></p><p class="MsoNormal">In a "top-down" modeling approach, on the other hand, the controlling processes may initially be represented by approximate (i.e., less detailed or “abstracted”) models and parameters. The model can then evolve by adding detail (and reducing uncertainty) for specific components as more is learned about the system. Such an approach can help to keep a project focused on objectives of the modeling exercise without getting lost in what may prove to be unnecessary details. Moreover, because a properly designed top-down model tends to be only as complex as necessary, is well-organized, and is hierarchical, it is generally easier to understand and explain to others.</p><p class="MsoNormal">There are four key points in the application of a top down modeling approach:</p><p class="MsoNormal"></p><ul style="text-align: left;"><li>Top-down models must incorporate a representation of the model and parameter uncertainty, particularly that due to any simplifications or approximations.</li><li>As opposed to representing all processes with great detail from the outset, details are only added when justified (e.g., if additional data are available, and if simulation results indicate that performance is sensitive to a process that is currently represented in a simplified manner). That is, details are only added to those processes that are identified as being important with respect to your modeling objectives and where additional detail will reduce the uncertainty resulting from model simplifications.</li><li>A top-down model does not have to be “simple”. Whereas a “simple” model might completely ignore a key process, a well-designed top down model approximates the process at an appropriate level while explicitly incorporating the resulting uncertainty that is introduced. </li><li>A top-down model lends itself to being a “total system” model, in which all relevant processes are integrated into a single coupled model.</li></ul><div></div><p></p><h4>Iterative Modeling</h4><div><div><br /></div><div>It is important to understand that in some cases a top-down model may become very complex indeed. The key point, however, is that it generally does not start out as a complex model. Rather, it evolves over time to a level of complexity that is appropriate given the modeling objectives, information about the system, and the uncertainty in that information.</div><div><br /></div><div>This is accomplished by carrying out the various modeling steps iteratively, responding to new information and/or preliminary modeling results. That is, modeling any system should be an iterative process:</div></div><div><br /></div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjt9NtbxpBkHxd6Lpy7n3KVRtE2_aP8Fu5sxUZnh8BQmx8yQDtbXzNFUEIRjP3CodvfFM9vipHajPXQorZBXLZHf8K41JWRIkkCVcYqW4K8qCM61eXB720Gbqt-c_P1kxijli1kN84pmYU9/s501/Iterate.jpg" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="501" data-original-width="212" height="640" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjt9NtbxpBkHxd6Lpy7n3KVRtE2_aP8Fu5sxUZnh8BQmx8yQDtbXzNFUEIRjP3CodvfFM9vipHajPXQorZBXLZHf8K41JWRIkkCVcYqW4K8qCM61eXB720Gbqt-c_P1kxijli1kN84pmYU9/w270-h640/Iterate.jpg" width="270" /></a></div><br /><div>The basic concept is that as new data are obtained (e.g., through a data collection program or research) and/or as new insights into the behavior of the system are obtained (based on preliminary model results), you should reevaluate and refine the model. In some cases, you might “loop back upward” in the middle of the process. For example, development of a conceptual and corresponding mathematical model are dependent on the type of data available. If you determine that your available data is highly uncertain, the conceptual and mathematical models may need to be adjusted accordingly (e.g., if data is sparse and uncertain, a highly detailed model would likely be inappropriate).</div><div><div><br /></div><div>Simulation models that are constructed and continuously modified in this manner can then do more than only provide predictions of performance; they can provide a systematic framework for organizing and evaluating the available information about the system, and can act as a management tool to aid decision-making with regard to data collection and resource allocation (what should be studied, when, and in what detail?).</div><div><br /></div><div><h4>How GoldSim Supports Iterative, Top-Down Modeling</h4></div></div><div><div><br /></div><div>So what does a “top-down”, iterative approach actually mean in terms of building contaminant transport models in GoldSim?</div><div><br /></div><div>For those of you may be experienced with building detailed, high resolution models of environmental systems (e.g., using finite element or finite difference tools), you will find that GoldSim is not like those tools at all. It is different in three fundamental ways:</div><div><ul style="text-align: left;"><li><u>Spatial Resolution</u>: Whereas a finite element or finite difference model would typically have a very high level of discretization (effectively thousands of finite volumes), a GoldSim model would have a much lower level of spatial resolution (perhaps tens or hundreds of finite volumes). Due to this lower spatial resolution, processes will typically be “abstracted”, “lumped” and/or averaged to some extent.</li><li><u>Integration</u>: Detailed, high resolution models are typically designed to do one thing very well (e.g., model groundwater flow and transport or model geochemistry). It is often difficult to appropriately integrate and capture interdependencies among the various model components when using such an approach, since it is often impossible (or computationally impractical) to dynamically couple the various detailed models used for the components of the system. As a result, important interactions in the system are often intentionally or unintentionally ignored. GoldSim, on the other hand, allows you to build a single model that focuses on integrating and coupling all system components. </li><li><u>Uncertainty</u>: For computational reasons, it is quite difficult to deal with uncertainty in detailed, high resolution models. GoldSim, on the other hand, allows you explicitly represent the (typically high) uncertainty present in contaminant transport models.</li></ul></div><div>So how do we represent complex multi-dimensional environmental systems in GoldSim using a low level of spatial resolution? In GoldSim we will build abstracted and lumped representations of complex multi-dimensional systems by appropriately connecting together zero-dimensional (mathematically, well-mixed tanks volumes) and one-dimensional components. In subsequent Units we will illustrate how these components can be combined to represent higher-dimensional complex systems. </div><div><br /></div><div>As will be seen in these later Units, the GoldSim Contaminant Transport Module can certainly be used to build very complex models. As discussed above, however, the key philosophy embodied in GoldSim is that in almost all situations, you should design your models from the top-down, keeping them as simple as possible, only adding complexity when it is warranted. That is, you are encouraged to keep in mind the words of the late British statistician George Box:</div></div><div><p class="MsoNormal" style="margin-left: 36pt;"><i>Since all models are wrong the
scientist cannot obtain a "correct" one by excessive elaboration…
Just as the ability to devise simple but evocative models is the signature of
the great scientist, so overelaboration and overparameterization is often the
mark of mediocrity.<o:p></o:p></i></p></div><div><br /></div></div></div>GoldSimhttp://www.blogger.com/profile/18105288640248926754noreply@blogger.com0tag:blogger.com,1999:blog-8601426913066236591.post-65836718366680015512020-09-03T17:09:00.005-07:002020-09-04T10:56:32.385-07:00GoldSim Contaminant Transport Module Online Course, Excerpt #2: Key Decisions Required Before Starting to Build a Contaminant Transport Model<p> Posted by <a href="https://blog.goldsim.com/p/blog-contributors.html#Rick">Rick Kossik</a></p><div class="separator" style="clear: both; text-align: center;"></div>As I noted in my previous blog post, I am currently working on an online CT Course. This will be a long-term project (I'm hoping to finish by the end of the year). But in order to provide some useful material for users in the meantime, I plan to post excerpts from time to time as I slowly progress through the development of the Course. A blog is not the best venue for presenting the entire Course (even in parts), but I think it will be possible to provide a number of short excerpts that could be of value.<br /><br />The <a href="https://blog.goldsim.com/2020/07/goldsim-contaminant-transport-module.html">first excerpt</a> simply provided the outline describing how the Course will be organized. In this excerpt, I present some information from a preliminary Lesson discussing the key decisions required before starting to build a contaminant transport model.<br /><span><a name='more'></a></span><div><p class="MsoNormal"><u><b><span style="font-size: medium;">Key Decisions Required Before Starting to Build a Contaminant Transport Model</span></b></u></p><p class="MsoNormal">Before starting to use GoldSim (or any tool) to build a
contaminant transport model, there are some fundamental decisions you must make.
In fact, these decisions actually apply to any kind of simulation modeling
application you may consider.<span style="mso-spacerun: yes;"> </span>They are
of particular importance, however, for the complex task of contaminant
transport modeling.<o:p></o:p></p>
<p class="MsoNormal">Before we discuss these, however, let’s briefly take a step
back and consider what we actually mean by the term “model”.<span style="mso-spacerun: yes;"> </span>Basically, as used here, a “model” is an
abstract digital representation or facsimile of a system. By definition, any
such model is a simplification of reality, with the goals being to include
those aspects that are assumed to be important and omit those that are
considered to be nonessential, so as to derive useful predictions of system
performance in an efficient manner. <o:p></o:p></p>
<p class="MsoNormal">In this definition, we immediately see some decisions we will
need to make:</p><p class="MsoNormal"></p><ul style="text-align: left;"><li><span style="text-indent: -18pt;">What is the extent of the “system” we are
modeling?</span></li><li><span style="text-indent: -18pt;">Which aspects of that system are important to
include in the model, and which are not?</span></li></ul><p></p><p class="MsoListParagraphCxSpFirst" style="mso-list: l0 level1 lfo1; text-indent: -18pt;"><!--[if !supportLists]--><o:p></o:p></p>
<p class="MsoListParagraphCxSpLast" style="mso-list: l0 level1 lfo1; text-indent: -18pt;"><o:p></o:p></p>
<p class="MsoNormal"><b><u>Model Objectives<o:p></o:p></u></b></p>
<p class="MsoNormal">But before we can discuss the two decisions noted above, we
have an even more fundamental decision to make: why should we build a model in
the first place? That is, if we are going to build a model, we first have to
specify <b><i>why</i></b> we are building the model. What are our
objectives?<span style="mso-spacerun: yes;"> </span>What specific questions are
we trying to answer with the model?<span style="mso-spacerun: yes;"> </span><o:p></o:p></p>
<p class="MsoNormal">In general, modeling is about supporting <b><i>decision-making</i></b>.
<span style="mso-spacerun: yes;"> </span>In most cases, we are interested making
predictions in order to evaluate performance and compare alternatives in order
to make decisions regarding designs and/or policies.<span style="mso-spacerun: yes;"> </span>In addition, however, we may also want to use
the model for a much broader set of goals: to provide a systematic framework
for organizing and evaluating the available information about the system, and to
then use the model as a management tool to aid decision-making with regard to
data collection and resource allocation (what should be studied, when, and in
what detail?).<o:p></o:p></p>
<p class="MsoNormal">Based on this, you may therefore be tempted to state that
your objective is to “understand the behavior of the system”.<span style="mso-spacerun: yes;"> </span>Although environmental models can in fact be
very valuable for understanding a system, defining your model objectives in
this very open-ended way will almost certainly lead to serious difficulties. <o:p></o:p></p>
<p class="MsoNormal">For some types of simple systems such an approach may indeed
be possible.<span style="mso-spacerun: yes;"> </span>However, this is generally
not a viable approach when modeling most engineering systems, and is certainly
not the approach you should take for building a contaminant transport model. For
reasons that should become clear below, trying to build a contaminant transport
model designed to address such an open-ended objective (“understanding the
behavior if the system”) would be very difficult to do and the model itself
would be likely to be poorly defined, and hence would be difficult to interpret,
use and defend. <o:p></o:p></p>
<p class="MsoNormal">The correct approach is to build models that are designed to
answer specific <b><i>quantitative</i></b> questions (e.g., What is the peak concentration
of a particular contaminant at a specific location? What is the mass flux rate
across a particular boundary and how does it change with time? What is the
average contaminant release rate from a specific source over the first ten
years? What is the peak impact on a particular human or environmental receptor?).
This requires you to specify <u>well-defined</u> outputs that the model must
calculate (e.g., peak or average concentrations at a specific location, mass
flux rates across specified boundaries). As we will discuss below, specifying
the objectives of the model in this way and defining the specific outputs you
need to calculate will also help you determine the appropriate level of detail
in the model.<o:p></o:p></p>
<p class="MsoNormal">If your model is able to produce such <u>quantitative</u>
outputs, you will find that you subsequently will be able to answer more <u>qualitative</u>
questions about the general behavior of the system and use the model as a
management tool.<o:p></o:p></p>
<p class="MsoNormal"><b><u>Defining the System<o:p></o:p></u></b></p>
<p class="MsoNormal">Once we have defined our objectives, our next step is to define
the extent of the actual system we wish to model. The key point is that the
“system” we are going to model is a subunit of the actual environment.<span style="mso-spacerun: yes;"> </span>That is, we are not modeling the entire
world; we are just modeling a part of it (e.g., a lake, a hazardous waste site,
a waste disposal site). As such, the system we are modeling has a <b><i>boundary</i></b>.
<o:p></o:p></p>
<p class="MsoNormal">The system inside the boundary can change with time due to
external influences and/or internal influences. External influences on the
model are referred to as being <b><i>exogenous</i></b>.<span style="mso-spacerun: yes;"> </span>Exogenous behavior is something that comes
from “outside” the boundary of the model and is not due to or explained or
influenced in any way by the model itself.<span style="mso-spacerun: yes;">
</span>It is simply an external “forcing function”. For example, if you were
modeling a lake, the mass input into the lake from a pipeline would be an
exogenous factor.<span style="mso-spacerun: yes;"> </span>The model of the lake
would not explain or impact the input from the pipeline; the mass input from
the pipeline would just be an external forcing function. <o:p></o:p></p>
<p class="MsoNormal">Internal influences on the evolution of a model are referred
to as being <b><i>endogenous</i></b>. Endogenous behavior is something that
comes from “inside” the model and is explained by the processes within the
model. That is, if a system evolves endogenously, it means that the model
structure itself is causing the model variables to change with time. The
changes are not being driven from something “outside” the model.<o:p></o:p></p>
<p class="MsoNormal">Remembering these specific terms (exogenous and endogenous)
is not important.<span style="mso-spacerun: yes;"> </span>What is critical is
that you understand the concept: systems change with time due to external
influences and/or internal influences. Real-world systems that you will model will
be controlled by a combination of endogenous and exogenous factors.<span style="mso-spacerun: yes;"> </span>A little thought will convince you that this
must indeed be the case. Because the system we are simulating will always be a
very small subset of the world, and this system is unlikely to be completely
isolated from the rest of the world, exogenous factors will always exist.<span style="mso-spacerun: yes;"> </span>Moreover, any system worth taking the time to
model would by definition have sufficient complexity to have at least some
internal endogenous behavior.<o:p></o:p></p>
<p class="MsoNormal">In a contaminant transport model (where we are concerned
about tracking mass), the exogenous forcing functions will generally be in the
form of mass input rates, as well as other inputs that impact the behavior of
mass in the system, such as rainfall rates or flow rates entering from outside
the boundary of the model. The mass in your model can, of course, cross the
boundary (i.e., leave the system).<span style="mso-spacerun: yes;"> </span>Once
it does so, however, it cannot return. If it does need to return, it means that
you need to extend your boundary outward. <o:p></o:p></p>
<p class="MsoNormal">So in all models, before we can start to build the model, we
need to define the boundary of the system. In some cases, the boundary will be
obvious (e.g., for physical reasons).<span style="mso-spacerun: yes;"> </span>In
others, it may not be. In general, however, the boundary is selected by
considering the following:</p><p class="MsoNormal"></p><ul style="text-align: left;"><li><span style="text-indent: -18pt;">Can I easily define my external forcing
functions at the boundary I have selected?</span><span style="font-family: Symbol; text-indent: -18pt;"><span style="font-family: "Times New Roman"; font-size: 7pt; font-stretch: normal; font-variant-east-asian: normal; font-variant-numeric: normal; line-height: normal;"> </span></span></li><li><span style="text-indent: -18pt;">At which point do I no longer need to track mass
as it moves outward (i.e., where does mass “leave” the system of interest)?</span></li><li><span style="text-indent: -18pt;">Is my boundary defined such that it is a good
approximation to assume that there are no feedbacks between what leaves the
system and what enters it?</span></li></ul><p></p><p class="MsoListParagraphCxSpLast" style="mso-list: l1 level1 lfo2; text-indent: -18pt;"><o:p></o:p></p>
<p class="MsoNormal">When considering boundaries, it is important not to just
consider boundaries in space, but also boundaries in time. That is, when will
the simulation start and when will it stop? The simulation start time, of
course, impacts the initial conditions that you specify for the model. The
simulation could start at the present time (e.g., for an existing site whose
behavior you wish to predict going forward) or at some time in the future (for
an engineered site that does not yet exist).<span style="mso-spacerun: yes;">
</span>In other cases, the simulation may need to start in the past.<span style="mso-spacerun: yes;"> </span>This is often required for two reasons.<span style="mso-spacerun: yes;"> </span>First, in order to make predictions about the
future, if data is available to do so, you will typically want to <b><i>calibrate</i></b>
the model by simulating what was observed in the past. Secondly, in some cases
you may not know what the conditions are today but may know what they were at
some point in the past.<span style="mso-spacerun: yes;"> </span>For example, you
may know how much mass was disposed of 30 years ago (but don’t know where that
mass is today). In this case, you may then want to start your simulation 30
years in the past. <o:p></o:p></p>
<p class="MsoNormal">The end time for your simulation is a function of your model
objectives (and the nature of the system).<span style="mso-spacerun: yes;">
</span>If you are trying to predict a peak concentration at some distance from
a contaminant source, you obviously need to simulate the system for a
sufficient duration to see that peak.<span style="mso-spacerun: yes;"> </span>In
some models that may be days or months, in others (e.g., radioactive waste
disposal systems) it could be tens of thousands of years!<o:p></o:p></p>
<p class="MsoNormal"><b><u>What Processes Need to be Considered and in How Much
Detail?<o:p></o:p></u></b></p>
<p class="MsoNormal">In subsequent Lessons, we will provide an overview of the
key physical and chemical processes controlling mass transport. Right now,
however, we are not going to talk about specific processes, but how you
actually go about determining which processes to include in your model.<o:p></o:p></p>
<p class="MsoNormal">The level of detail and the processes that need to be
considered in your model are strongly determined by your modeling objectives
and the specific outputs you need to calculate. This is one of the reasons why
we emphasized the importance of defining quantitative objectives. Specifying
your objective as “understanding the behavior of the system” would make it very
difficult to determine which processes needed to be included and in what
detail. <o:p></o:p></p>
<p class="MsoNormal">Even if you do have a good understanding of which processes need
to be considered, you will still need to determine <u>the level of detail</u>
in which you represent those processes.<span style="mso-spacerun: yes;"> </span>There
are two aspects to consider when speaking about the level of detail:</p><p class="MsoListParagraphCxSpFirst" style="mso-list: l3 level1 lfo4; text-indent: -18pt;"></p><ul style="text-align: left;"><li><span style="text-indent: -18pt;">One simply involves how far you “drill down”
into representing that process.</span><span style="text-indent: -18pt;"> </span><span style="text-indent: -18pt;">Can you
approximate the behavior with a fairly simple representation (e.g., a response
surface or lookup table) or do you need to represent the process in greater
detail (e.g., solving a complex set of equations)?</span></li><li><span style="text-indent: -18pt;">The second is often (but does not have to be)
related to the first.</span><span style="text-indent: -18pt;"> </span><span style="text-indent: -18pt;">What level of </span><b style="text-indent: -18pt;"><i>discretization</i></b><span style="text-indent: -18pt;">
(resolution in both space and time) is required to represent the process? When mass transport equations are solved numerically, it is
necessary to discretize space into discrete volumes or compartments. Mass is
spread out equally throughout any particular discretized volume instantaneously
(i.e., the volume is instantaneously well-mixed). Temporal discretization
refers to the length of the timestep.</span></li></ul><p></p><p class="MsoListParagraphCxSpLast" style="mso-list: l3 level1 lfo4; text-indent: -18pt;"><o:p></o:p></p>
<p class="MsoNormal">To demonstrate how the model objectives strongly determine
what processes need to be considered (and at what level of detail), consider
the example of predicting the concentration of a contaminant in two different
lakes. In one lake, the lake can be assumed to always be very well-mixed
spatially, and concentrations change slowly over time (the mass in the system
has lots of “inertia”). Our objective is to compute the annual average
concentration over the next five years. In another lake, the lake has significant
spatial variations in concentration, and these can change fairly rapidly over
time. Our object is to predict the monthly fluctuations in concentrations in
different regions of the lake over the next year. The models for these two
lakes would necessarily be different in several different ways:</p><p class="MsoNormal"></p><ul style="text-align: left;"><li>T<span style="text-indent: -18pt;">he processes that need to be considered would
be different. Both models would need to represent the loss mechanisms for the
contaminant (e.g., advection out of the lake, volatilization, biological
transformations).</span><span style="text-indent: -18pt;"> </span><span style="text-indent: -18pt;">However, the second
model would also need to consider the detailed hydrodynamic processes occurring
within the lake (driven by wind, temperature, etc.) that produce spatial
variations in the concentration.</span></li><li><span style="text-indent: -18pt;">In order to represent the temporal and spatial
variation of properties in the lake, the level of discretization (in both space
and time) would need to be much finer in the second model.</span></li><li><span style="text-indent: -18pt;">Some processes may need to be represented in
more detail in the second model to properly capture aspects associated with these
spatial and temporal variations in the properties of the lake.</span><span style="text-indent: -18pt;"> </span><span style="text-indent: -18pt;">For example, temperature variations in
volatilization or degradation rates might need to be included, whereas simpler
models (using average properties) could be used for the first model.</span></li></ul><p></p><p class="MsoListParagraphCxSpLast" style="mso-list: l2 level1 lfo3; text-indent: -18pt;"><o:p></o:p></p>
<p class="MsoNormal">There is one other critical factor that needs to accounted
for when determining the appropriate level of detail you should use in your
model (and it is unfortunately often completely ignored).<span style="mso-spacerun: yes;"> </span>How much uncertainty exists with regard to
the input parameters and processes you are trying to model? This is such an
important topic (and so greatly informs GoldSim’ s entire approach to modeling
contaminant transport) that we will take an entire Lesson to discuss this topic.<span style="mso-spacerun: yes;"> </span>For the purposes of the present discussion,
it is sufficient to note that generally the greater your uncertainty, the <u>less</u>
detail you should include in your model (and in fact including more detail than
is justified by the level of uncertainty would actually be inappropriate). <o:p></o:p></p>
<p class="MsoNormal">Although these considerations will provide initial insight into
which processes need to be included in your model and the level of detail
(including the level of discretization) in which they need to be represented,
there is no “magic bullet” to determine what needs to be included or excluded.
To a large extent, this requires experience. Most importantly, most models will
evolve over time in this regard. The basic concept is that as new data are
obtained about the system you are modeling (e.g., through a data collection
program or research) and/or as new insights to the behavior of the system are
obtained (based on preliminary model results), you will reevaluate and refine
the model. You may find, for example, that your model simply cannot reproduce
observed results.<span style="mso-spacerun: yes;"> </span>In that case, perhaps
you need to consider some processes that you previously excluded, or you may
need to model existing processes in greater detail. <o:p></o:p></p>
<p class="MsoNormal">Building simulation models in such a way that they are
continuously modified in response to new information is what allows us to move
beyond only providing predictions of performance; they can provide a systematic
framework for organizing and evaluating the available information about the
system, and can act as a management tool to aid decision-making with regard to
data collection and resource allocation (what should be studied, when, and in
what detail?). We will discuss this further in a subsequent Lesson.</p><br /></div>GoldSimhttp://www.blogger.com/profile/18105288640248926754noreply@blogger.com0tag:blogger.com,1999:blog-8601426913066236591.post-59911962818890400202020-08-07T12:09:00.003-07:002020-08-07T12:10:28.783-07:00Navigation Tabs in the Dashboard<p>Posted by: <a href="http://goldsimtech.blogspot.com/p/blog-contributors.html#Jason" target="_blank">Jason Lillywhite</a></p>
<p>If you want to add navigation tabs to a dashboard, you will need to create multiple dashboards with graphical components that align in order to give the impression that you are switching tabs instead of switching entire dashboard pages. Luckily, with a few simple steps, this is quite easy to do. Follow these basic steps to quickly create your navigation tabs for your dashboard.</p>
<center>
<iframe allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen="" frameborder="0" height="315" src="https://www.youtube.com/embed/k30ruIDOE8o" width="560"></iframe>
</center>
<p>We will be using Microsoft Power Point to draw the Navigation graphics for the Dashboard.</p><span><a name='more'></a></span><h2 style="text-align: left;">Step 1: Establish the Dimensions of the Dashboard</h2><div>It is time consuming to change the size of your dashboard after you have started to develop the it with navigation tabs. Choose a height and width for the dashboard that will fit within the lowest possible resolution of any display you plan to show it on. For example, if you plan to upload a video of your model to YouTube, you should make it so the application fits within their standard 1600x900 px frame and you need to account for the border and toolbars of the application as well. If you plan to show the model in the GoldSim Player, keep in mind that the size of the toolbar is different from that of GoldSim. Confirm the dimensions by creating a simple GoldSim Player prototype and see how it fits on your display.</div><div><img alt="" height="390" src="data:image/png;base64,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" width="591" /></div><div><br /></div><div>For instruction on how to resize a dashboard, please refer to our <a href="https://help.goldsim.com/#!Modules/2/addingdashboardstoyourmodel.htm" target="_blank">Help Documentation</a>. For this example, I sized the dashboard to be 600px high by 900px wide.</div><h2 style="text-align: left;">Step 2: Set Up and Test a Template</h2><div><div>Set up a new Power Point presentation file that you can use to generate the navigation graphics.</div><div><br /></div><div>First we must determine the display scaling factor on your Windows system because this will impact the size of graphics you import to GoldSim from Power Point. You can read more about Windows 10 Display Scaling <a href="https://www.thurrott.com/windows/windows-10/4597/windows-10-feature-focus-display-scaling" target="_blank">here</a>. The Windows scaling factor on my computer is 150%. This means that I need to scale up any graphics I create in Power Point by the same amount (150%) before importing them to my dashboard in GoldSim. </div></div><div><br /></div><div><img alt="" height="321" 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" width="655" /></div><div><br /></div><div><div>Since my dashboard in GoldSim is sized at 600px by 900px, I need to multiply these values by 1.5, which results in dimensions of 900px by 1200px. </div><div><br /></div><div>Start a new Power Point presentation and change the slide dimensions to your scaled up width and height found previously (in my case, it is 900px high by 1200px wide). You can enter the values in terms of pixels and Power Point automatically converts the values to inches (or cm):</div><div><img alt="" height="291" src="data:image/png;base64,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" width="414" /></div></div><div><br /></div><div><br /></div><div>Draw a rectangle with the same dimensions as the slide. </div><div><img alt="" height="326" src="data:image/png;base64,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" width="636" /></div><div><br /></div><div>Right-click on the graphic and choose "Save as Picture..." from the context menu.</div><div><img alt="" height="344" 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/3OOus16WMf299XTOzadV4V9UCIIGKIgOCI872JzzBCZJAAoYy7/uKhSoSce+XwD6bX6x0CpJdY2ywOo4iQ//JXT1Z/tcv7Pn7psofSo9nf8cZD6OMKkKjHKHVXhARqk98qQhQh4ZTP21YRUnM+5o0A1lfjJwfWc6A0EVIXIL/9279VvfAsHt7mmRCeu6gvw6q7U+GUIj6aFCBRjkFCZCMBQh5X3nKyEiGXf/3kSO8Jqdd7GgKE8o0iQn75Ew+nn73kofTrVx9P/+TDD6Sf++jKv2J9dvVveDcrQALzYes+SxEyTDRjM+cYCVlvAx0XxKQJDihCFCHOgssBOVDjQEkiJATItddeUy23eu97f7+zpAnHnX/DIj377LPhdw7chlPaVASkXpheQmQYAUI+IULGeWN61HtaAoTyDStCWIr1D/703vTLn3g8/cGhF9I7v/Rs2v5n91VvQN9xwX1pUgIksB+m7oqQQGvyWyMhOvxNOPxtvIcipOZ8tLGRLJMGSg40y4FSREguQFhulQsQZoYRHzwHEv8exVKtEj65EBlWgFCvo9/92/QLH7xl5Ie0m8JkWBFy4e3PVEux3nL9U9Xb4H/n+qfSv7j4m4mlWZMWIMPWXREyLFKjn6cIada+O562B29FiCLEWXA5IAdqHGizCIm/st1IgMT7N0KA3HnnHdW/ZW20JGt0F2o6V4QQ4R+9eA9I1GOju/3RFx8d6qH0jfKZxvFhRchvXPtYIuLxf13xWPonFz5QiY+FP1+JhDw+xkPok6iLImQSKPbOQxHSHqdYgdJsWyhCas6HBGyWgOIt3m3kQFtFCO//CPGBO0Nkg0hHPQKCAMkdd/62981v/u3qPSGliBDqhxDheZZhBQjXEA1p6wcRgqg699w3r0v5Mzs7Lri3Eh7/+0X3p9/8/JF0+b3fGekZl2nUv2kRQrvnOH3gA3+c4g3q8fzH+ef/Sdc5+fmjfI975X1rGhj2y1MR4jjYxnGwiTIpQhQhzoLLATlQ40AbRUj+AsLr738mvf8TN6d/+vrf6ilAeDfI1Vd/unoQHceK6AkOMI5ZSSIEp433nWyVzyCnmb9Qpm1uOfFi+v2vnkxfO/HizIVHjnuTIuT888/vEhcIbbibixCEdoiHUQRHv3P/5E8+0CXw87pP+7siRBHShMPfxnsoQmrORxsbyTJpoORAsxxomwgJAcIs/7/4g5urF/K96jevr7b/cPdX0+fueap6FwiOWV2AxKxxqSJk2g6g+Q+HQJMipF6i+PeqECEhQFhiWJqorteN34qQZu2742l78FaEKEKcBZcDcqDGgTaJEKIY8UGA/L23fzW96ROPVQ8s//a1x9JPv+2rCSHynvf+ftcSLCIgIUDYtkGExDs44i+Am97OarkN7Vd63dsiQraaAFGEtMchVpw03xaKkJrzIQmbJ6GYi3nbONAWEZK/Bf2Pbng0/dRvXp/euCpA/vDQCx0hwv5/9vrf7Dw7URcgsxYhT/zg26lNKURdE9vX/NpC+rlf2daaNK4Qa4MIec973l0twdoqEZDgn5EQx8C2jYFNlUcRoghxFlwOyIEaB9oiQnignA/LsP7H//eL6R+9/+vVeyNCgMT2p37r+vS+T9xc/StULwGiCOkWQeH8NbFVhGweZZZj8RfUPBuy1QQI6ChCFCFNOf1tu48ipOZ8tK2BLI/GSQ40z4GmRQhiI0+528ZD6NvfdVP6u2/7SnrbF1beGxHigy1LsoiEXHffM9Vl+RKs/Pssl2O1KQpCWZr8KEI2jzYiZKsKENBRhDRv4x1X24G5IkQR4iy4HJADNQ40IULe//73pje+8deqf/zptUQG8XH2hXdUD5//dB8BggjZ9u7D6e+99cudd2PEe0RyAcJ3XlzIevpZPMirCHE51makyDvf+Y5qqeEsuLuZcg97rSKkHQ6xwqT5dlCE1JwPSdg8CcVczNvGgSZECO/4YIkJQmT//n0rf8/6+AvpX/7hzel/+J0vVuLjf/rdG9NrL7y/evYjj37w/e1feCr9w3ffnP77t9zQiYLccMMXuv7aNP6OlHvwr1mjvG9jWAdqmPMUIYqQYXjS75yt9DfNveqoCHEMbNsY2FR5FCGKEGfB5YAcqHGgCRGCM4IQITqRv6juwpuOpv/5rV+uRAhLsHgO5F994M5KjLxh/8PVln3/3bk3pL/71i93BAiO2jve8faeIoR7cK9ZfRQhipBZca+E+ypCFCFNOf1tu48ipOZ8tK2BLI/GSQ40z4GmRMggBwkx8qble9LP/sHN6affemMlSuLdIP/8P92czrv2oXSkxW8Hz+umCFGE5HzwezcCipDmbbzjajswV4QoQpwFlwNyoMaBNoiQbjel7F+KEEVI2QyebukVIe1wiBUmzbeDIqTmfEjC5kko5mLeNg4oQibrdClCFCGTZdTWyk0R4hjYtjGwqfIoQhQhzoLLATlQ44AiZGs5edZm8wjM8mWFmy99u3NQhChCmnL623YfRUjN+WhbA1kejZMcaJ4DipB2O22WrnkEFCHTw1wR0ryNd1xtB+aKEEWIs+ByQA7UOKAImZ7DZc5lIqAImV67KULa4RArTJpvB0VIzfmQhM2TUMzFvG0cUIRMz+Ey5zIRUIRMr90UIY6BbRsDmyqPIkQR4iy4HJADNQ4oQqbncJlzmQgoQqbXbooQRUhTTn/b7qMIqTkfbWsgy6NxkgPNc0ARMj2Hy5zLREARMr12U4Q0b+MdV9uBuSJEEeIsuByQAzUOKEKm53CZc5kINClCju8/J+1Y3J7O3nsknTq9Hq9De3akpX29j60/u/17FCHtcIgVJs23gyKk5nxIwuZJKOZi3jYOKELa77hZwmYRmIUIWdh+dlo+cirVdYgixDGjbWOG5RmPk4oQRYiz4HJADtQ4oAhp1sH1bu1HoHERsrSclnctpsWde9PRWjhEETKew6ejLG5t44AipOZ8tK2BLI9GQw40zwFFSPudYkvYLAKzECFHTx1Me3Yspp21ZVm9RAhLuF69uD0tbN+WiKDsfXwlgsK5O3bdlF7JhEy1b2lvOlLfVzuvKYRdjtW8jXdcbQfmihBFiLPgckAO1DigCGnK/fI+pSAwGxFyOqVDe9KrF3emvdmyrLoIWScqqmt2pZteOZVO598rsA+ld+1YTIuZUElpZd/um17p+QzKtNtIEdIOh1hh0nw7KEJqzockbJ6EYi7mbeOAImTabpf5l4bAzERIQofsSDuW1pZldYmQY/vTOYtLaXk18rGC67G0/5wdafcBREVNYCBKzllOe89bTEvLj6+IjmP70xt27F4RLTNoGEWIY2DbxsCmyqMIUYQ4Cy4H5ECNA4qQGXhi3rLVCMxShESkYml1WVaXCKkiHbEMi6VYa+nsvSsioxIxq0utWLZ1Dv+sdXB3JUZYklUt5drdvWSrycZQhChCmnL623YfRUjN+WhbA1kejZMcaJ4DipAmXTDvVQICsxUhVTgkvXpxqVqWdXB39he965Zb9UBzNfpx5NTRtP+cc9I+lnYRQamiH0fTvnN2pD0zWopFaRUhzdt4x9V2YK4IUYQ4Cy4H5ECNA4qQHo6cu+YagZmLkGxZVrWUKt4TUi3HWky7BooIlmSdk5ZvWk5L5+xb/betlSVbe266Ke1ePCctP/7Kur8CbqrBFSHtcIgVJs23gyKk5nxIwuZJKOZi3jYOlCpCDu5eSIu7DqTT9RcrNOVNTfE+h3bzd63L6dhq5arfuw6kU31+T7EoM8u6Z513Lq/7C9tpFLANIiSWZS1u39b1IsNqudXCedkzHcfS/j3707HOv1+tCI6lnWennctrLzmslmYt7ax4deSV2XUaRYhjYNvGwKbK0zoRcvLkyXT48OF03XXXpSuuuCJdcskl1Zbf7Od4U+B4Hw2DHJhPDjQiQg7uTosLa+vXq7XsmxQQJYuQ4/uX1uOxfVvadeBUJaqKECGHdqcdC93PJ+RO72bFgSIklmWtf5v6ihBZ60/xPEhgvvIXvjs7f91b7a+WZPEXwI+nGWoQl2M5Gbwpvxa/+Oabb+7rN584cWJT+U/TD2qVCLn77rvT5ZdfXgkPxEevxHHOmyYo5j2fjqftbrsHB6YtQiqxsH1XOtAVsjiY9uw+2IliVE75zn2dmf9wpgZtixchS2uRjkH15FhPhzyLjGx0/WSPM9PO377urL3h+1Das7hQzbTXX7i30f1xmncsdUc56nXeKI9JHm8yEjLJcpeQl5EQx54Ye0bd3nPPPZ0J+14+M/vwm++666709NNPt853bo0IufHGG3uKjo9+9KM993P+qI3l+XZ0OSAHhuHAdEXIwbRnYSHtPnB64Bp0Rchg97HukNd/D756skcrwbCwKx041atNVwXKiAJJETLZNmpzbooQx6VhxqX6OV/+8pdTLx+51z7EyJe+9KXWCZFWiBAiG7mC+/SnP12ptr/+67+u7AZbVBz78/OMiNhx653S33JiEhxoQoTsXD7aiXp0O0jH0v6lhcS6987fje5cTsu7ej/vkYuVXpGQ7mVOO9Py0V6OcncJZvGrKueASEhdZGz0u7k6rEQ7Bi67qpZphUhZESW7V5eZRTkr0VEJlYiqdLc/kZSDPBeTiZleGCztO5KO7VtKO2KpX49nRlZEU+Rfj95Eibq3RkK68ZjkL0WI49ao4xYRkFxs4B/feeed6cUXX6yoid+Mj3z11Vd3+c1ti4jMXISwli1fgnXttdem011LFNa6Ovs5HkKE63xGxM47auf1fDmzEQemK0JSSvE8SPag9ZqlW/mWi4tqT3VNjyVcWVSlLkKq3/k9euZRv/NsfhcrQuJledkbvdch2HXORiJk5QHpYSIhvUQI4mNNECGQFtPieTd1PcC/IxcmCKTFXemmnlGctZooQtawmPQ3RYhj0kZjUn4cv/fKK6/s+ML4xa+88kpPWuI3f+Yzn+kIFvzm48ePt2Yl0cxFCA+bh6hAyfUTIIEux/OICNfnjeN3O7MckAOb5cDURUhl0PKIR11cpLROhKSV83fuyyIoiIqltedGukTIsf1paWFn2tcV+VjJY6OlYGFvm9xW9Y3Z+04U6LzOEqdeDvegqEBjZe8SGH3uWp3DEjwesp+yCNm1JjgoTZeY6VnW3uWp10QRUkdkcr8VIY5Zo4xZPIQeURD84X4CJBiK33zNNdd0fO1Dhw61ZlnWzEUI/3oVIoQw0TAfzotruH6UxvNcO7sckAMbcaAZEbJm7SrxsH1b13Mi60XIemHCdUuZKOkSIVXUo/ufmmJ5V/+lYGtlavqbkZBz0o5sqVWXeFhtjGGEGMuxOv9My3V5pKP63o8TtetqBFCE1ACZ4E9FiGPSRmNSfvz666/viBCWYG00eQ9VWZoVwuXzn/+8IiQAjb/hRVTEMyAb9e0f/ehHHRHC9ZGXWzuyHJADk+BA0yIEm7cSCViLiPQSISnxUPvSanQj/75iNdeLkLX8NrKrsz5erAhJk34mZHPLsTYWIRsvverFBUVIL1Qms08R4rg1yrj18Y9/vOMD//CHPxyKhPjNe/fura7Db2aMG+We0zp35pGQiGig0Eb55OIl8nDb+2+NxUVc5MBoHPjIRz6SLrzwwnTBBRek888/P912222jmKfxzq09r9FbhPA4yWr0g/N3rf2lLzftEiHVcqyN/4VrvMJO/qpyRcjqkqcN/h1rqfOSvJXlT2u/V7CsRzmmEgmJZWE3rbx7ZZRWVISMgtZo5yJCPvjBD1b2BruD/dFmj2az5xEv/OaNlmLlTMzFiyJk9eU0uZgYNhLCeUG48//8j9MZv7rNJAZyQA5MjgO/si393P/zv6V/+YZ/mH525z9It956a27LN/n9YNqTPcexktnq8yH5ywproqRzU/Yv7Uq7d27vWr7F8S4REr8XzsveR3Is7d+9Lx3v8+cfnXvM4EvJIiTxvE71npC1Z1hWIOz9npBKYOSipfr3rO1pIXuAvFpGlZ8zxLtREDIDIyGreezg7eKdB9HhxP4N30ejCJlep5g56ZUAACAASURBVECE/KtztlX2Brtzxq/o0+jX9efAB/7sP3d84GEjIfjNl156qZGQekhns8+E7PmDt03O8dCJE0s5IAfgwLRFyMLC2t/vrj6Evf45jezB9fwfrlYfUF/s2rfiINVFCHurfdkD3+vvMz3napScyxYhKzVdERfx17cr23jjezcWIVpWzz3vQDrK3+pmz4SsCZttaWH136yG/Yvevs+ErBYCsdL5C9/t+b9pdZcy/6UIydGY7HdFSH+HWzGyHptd/+n30kcuWYmW+UzIakSjLi6G/b3Zf8c6eMuX0xM//LZJDOSAHJgYB058/5F09LsPpUeevj89cPSOZpZjDe3X9PiXrKGv9UQRGA+B4UXIofSuHbw9Phdj56WbXjk18OWc45Vqa1yFCMHOYG+wO9gf/Rr9un4cOHTrVzoPmfvvWJsUIZt6T8gVl6Vjz3/LzqrzKQfkwEQ50GoRUj3rUc4D51vDTbQWw4iQlUjQ9rTrple6/qHr+P49af/RrS1CTnzsDenVS8vpyCunRiaLIkTB0U9w9NqP33vlxy/vLMnyPSGbFCLjvjH9zge/PlHHo1dju0/jIAfmjwPtFSFGQUb28LxgIghsKEIO7UmvXhzu7esTKVDLMlGEzN84MUvf4K5v3tKJhvCMNBER35i+CTFy4403dlRdPHTONv7XON/H97+86XoFiLPfckAOTIUDbRQh1TMTPNuRP7zeMkfM4mxdBAaLkN7/+NUPjYiYxHtreCD/lexBlkN7dqQdu25aeU5mcfW9JqvnVNfGvu3dy7ziuiPLS+nVcU52XWdf7TrKeXz/G9au2X522vv4K53lY+R7zvLj6ei+c9bOOXvvatTjWPrYG3Z0PWOz0DnWD4Hu/UZCFDDjCJovHfhCTx+5n9/8pS99qTXvB4lHNmb+F71RELZERHilfF1w5L8vv+KyZATEDjtOh/UaeTMsB9ooQrrdFn+JQLMIDBQhPd/E3rt8lVDg37k6z4isPqS/a02IrJyzLZ29N16guPacydq+let2ZAJm7brHV5eD5dfFPq7bkdZdt4SoWHlHS6qiOrs6ZczzXVlttZpvdm8jIY4vw44vkzyPiMgVV27gN19+eeIl308//XQr3g2S+/2tEiEUjGdEeFidf82Kv+/lb3j5FyweQvcZEDv6JDuwecmnXhxQhPR2IN07vwhMRIR03lPS/cxIqomYyunfuTcdrUdHusTL6vtZlpY751XXISaGuK56foPzuPeOpbScRT6qfyZ7w460Z/XZlirfTCTBguO1Z0AUIY4lvcaSJvbhF/Ow+udv+Ez64AUfqCby8Zt5Mzr+9IkTJ1onPkKItE6ERMFiSxQk/qKticb0HhoSOSAHFCHz62xb894ITESE1CIMa3daiSzsHuT07z8n7cgER3Ut+S3t6xYhdbGw/5yVB8YzYVJFOs5ZXhErVZlWl3x1/aMXkZjHE8ERRAjLsbqeOa/VRRHiuNEG3+Hn3/TqdPHFF6Uzf30xPfHEydaKj/DxFSGuqZ/Kmvo2dEbL4KAwLgcUIWvuod9EAAQGipC0IiJ2dt4K3wezmuO+dtasRcja0qu1Mq19U4Q4low7ljR9nSJkEw+nhzLKt0ZC7PxNd2LvJ+cUIWsOmN9EAAQGi5DVpVELg535lWVXCykiHh1key3H6hHRmEokpFqOtbjub4U7ZeMt80ZCnKwsZMJaEaIIsbMW0lkVG4qNfhxQhOQumN9FYGMR0nnD+8LZaflI9ztB8veEVM9XdD3b0efB9KZEyKrI2FEv05796djqEq5hREj9YfZROOO/YzkW9RuLRt2vCFGEKEIUIXKgcA4oQkZxoTx3HhDYKBLSwaDXMxZnrz08znn1v+g9u7aMqxIqDYoQyrQijtbe8h7Pg8SxjZ4JSen42l/1+he9joEzGgMVIYoQO9+MOt+oMwae7+xTPw4oQjoupV9EoEJgaBEiXiMjYCTEsajfWDTqfkWIIkQRogiRA4VzQBEysh/lBVscAUXI9BpYEaIIGVVs9DtfEaII0QEt3AHt17ndPz8DhSJkeg6XOZeJgCJkeu2mCJmfsWXafoQiRBGiCFGEyIHCOaAImZ7DZc5lIqAImV67KUIUIZMSJ4oQRYgOaOEO6KSMgfmUO7AoQqbncJlzmQgoQqbXboqQcseKto3zihBFiCJEESIHCueAImR6Dpc5l4mAImR67aYIUYRMSswoQhQhOqCFO6CTMgbmU+7AogiZnsNlzmUioAiZXrspQsodK9o2zitCFCGKEEWIHCicA4qQ6Tlc5iwCItCNgCJEETIpMaMIUYTogBbugE7KGJhPuQOLIqTbSfKXCIjA9BBQhJQ7VrRtnFeEKEIUIYoQOVA4BxQh03O4zFkERKAbAUWIImRSYkYRogjRAS3cAZ2UMTCfcgcWRUi3k+QvERCB6SGgCCl3rGjbOK8IUYQoQhQhcqBwDiBCjj3/rfToMw+kB4/flW677TaTGMgBOTA1DmBnsDfYHexP25xby1OGUFKEKEI0HoU7oBrbMozttNrp5A8eTcdeeDgd+c430yNP31+JkPseuzXd9cjX0h3fujnd/s3DJjGQA3Jg0xzAnmBXsC+IEOwNdgf7gx2alo0z3607xilCFCEaDkWIHCiYAwz+EQl5/LkHK8fgoZN3V07CA0fvSCYxkANyYFIcQHxgXxAg2JuIhChCtq5QmKYIVIQoQnRAC3ZAp2kczLucQQUH4Pj3Hq4cAmYmH3vuG9VSCRwFkxjIATkwKQ6wBAv7UkVAnv9WZXcUIOWMFW0b1xUhihBFiCJEDhTOAZwAUhUReWFFjDBDefS7D5nEQA7IgYlxALtSpRceruxN2J62ObeWpwxhpAhRhOiAFu6AamzLMLZNtFM4BIgRkxjIATkwLQ6ErWnCrnmPrTvGKUIUIYoQRYgckANyQA7IATkgB+RAoxxQhChCGiWcMxpbd0bDtrVt5YAckANyQA7IgWE5oAhRhChCnPmQA3JADsgBOSAH5IAcaJQDihBFSKOEG1Yde54zKXJADsgBOSAH5IAc2LocUIQoQhQhznzIATkgB+SAHJADckAONMoBRYgipFHCOaOxdWc0bFvbVg7IATkgB+SAHBiWA4oQRYgixJkPOSAH5IAckANyQA7IgUY5oAhRhDRKuGHVsec5kyIH5IAckANyQA7Iga3LAUWIIkQR4syHHJADckAOyAE5IAfkQKMcUIQoQholnDMaW3dGw7a1beWAHJADckAOyIFhOaAIUYQoQpz5kANyQA7IATkgB+SAHGiUA4oQRUijhBtWHXueMylyQA7IATkgB+SAHNi6HFCEKEIUIc58yAE5IAfkgByQA3JADjTKAUWIIqRRwjmjsXVnNGxb21YOyAE5IAfkgBwYlgOKEEWIIsSZDzkgB+SAHJADckAOyIFGOaAIUYQ0Srhh1bHnOZMiB0bnwMkfPJpIJ77/iEkM5MCcciDsgDZ0dBsqZs1ipghRhChCnPmQA4VzIJwOxMexFx5Ox57/VpWOfvehZBIDOTAfHIh+jw3AFoRd0LFu1rEW7+HxVoQoQnRAC3dANXjDG7ytihXOxvHvrYiPI9/5ZnrsuW+kR595ID3y9P0mMZADc8IB+jx9HxuAIMEmYBu2qt2zXuWPfYoQRYgGShEiBwrnQBUBef5blQPy0Mm70x233WISAzkwpxx48Phd1SQEQgTboLNevrO+VdtQEaII0UAV7oBuVeNkvYYfOEOEMBOKA4II8SMCIjB/CNx5+63pgaN3VNEvluEpQoa3o445zWOlCFGEKEIUIXKgcA7gaOBwsPwKB0QRMn/OpzUWARBQhDTvSCtexsdcEaII0QEt3AHVAI5vALcKdooQHVAREAFFiGNBaWOaIkQRoghRhMiBwjmgCNEBFQERUIQoQhQhz6RnJuzX5/m9Kv/Rxu+XXHJJOuNXt1WpNDJYXg2YHCiTA4oQHVAREAFFSJn2e57HXSMhE1ZMihCNwDwbFOs+G/4rQnRARUAEFCGzsb+Oe+PjrghRhLgUp/ClOBrA8Q3gVsFOEaIDKgIioAhxLChtTFOEKEIUIYoQOVA4BxQhOqAiIAKKEEWIIsRnQnwmpHCHrrRObHkdeBQhOqAiIAKKEMeC0vwBIyFGQpwFVzTJgcI5oAjRARUBEVCEKEIUIUZCjIQU7tCV1oktrwPPLEXI3XfftaH3N8w5G2biCSIgAhsi4MsKHQ9K8gmMhBgJcRZc0SQHCufALEXIo48+mg4fPtzXOeIY5/gRARGYPgKKEEWIImR60RDfE1K4s1RS57CsGvNSODBLEYJb9f73vzedPn26p4c16FjPC9wpAiIwNgKKEMetUsYtymkkxEiIs+AKOzlQOAfaIEJ6RUPY9773vaevQBnb0/JCERCBnggoQhQhihAjIb4xvXCnrqRObFkddGYtQq699pp07rlvXic23vKWc9M111y9bn9P78mdIiACm0ZAEeJ4UJJPYCTESIiz4AomOVA4B2YtQnjm46yzXpMOHTrUcaKIgrDvkUce6ezziwiIwHQRUIQoQhQhRkKMhBTu1JXUiS2rg86sRQhuFVGPPBpS/z1d18vcRUAEQEAR4nhQkk9gJMRIiLPgCiY5UDgH2iBCIvJBNCT/3pRreHz/Ulpc2JYWtudpZ1o+ejr1fmS+qZJ5HxFoDgFFiCJEEWIkxEhI4U5dSZ3YsjrotEGE4GZF9IOISB4Vma4LdjDtWVhIi9vPSwdq/9B1cPdS2jeyCDmY9iwupN0HTilepttw5j4FBBQhjgcl+QRGQoyEOAuuYJIDhXOgLSIkIiBnnnlG1/MhU/C1VrNcFSDnHUg1/TH+LY/tT0sLipDxAfTKWSKgCFGEKEKMhBgJKdypK6kTW1YHnbaIEJyvpaWz086dr2/kH7FWlmDtWhcB2ZQTqAjZFHxePFsEFCGOByX5BEZCjIQ4C65gkgOFc6AtIqTZSMixtH9pIS3uGiYK0u/ctf2nTqd0cPfi+udKzjuQOOZHBEpAQBGiCFGEGAkxElK4U1dSJ7asDjptESGNPhOyGrHYuXx0iKVYa2Kje9nW2v6O0DASUoKvbRn7IKAIcTwoyScwEmIkxFlwBZMcKJwDbRAhEQVp7N+xOmJhmH+/WhMbipA+3qu7twQCihBFiCLESIiRkMKdupI6sWV10GmDCIkoyOlVL7/+e+IeniJk4pCaYfkIKEIcD0ryCYyEGAlxFlzBJAcK58CsRUgeBQk3rte+ODaZ7co/Y7kcazJomsvWQEARoghRhBgJMRJSuFNXUie2rA46sxYh/aIe/fZPyt07uHshLe5cTse611j1yN7lWD1AcdcWREAR4nhQkk9gJMRIiLPgCiY5UDgHZilCBkU8Bh2biP83wsPpvQXLyosJF/N/wOos8/JlhRNpIzNpFAFFiCJEEWIkxEhI4U5dSZ3YsjrozEKEXHnvd9JZex9Mf/+D96Z/+ue3p8vv/c66N4xzzj/+k69V55y598Ge52zaQzu4Oy0ubE8LPSIiXW9MXz1vV+dN6KvRke3b0kIuQtKKMBlumdemS28GIjBRBBQhjgcl+QRGQoyEOAuuYJIDhXOgaRHy9RMvpldfcF/6Zxc/kH7vi8eq7Y4L7ktfO/Fix6Ea5pzOyZv+kgkKREUnndf1IsOVlxuuHd914Gjat/qukc5f9FKWg7vTDoTNOoGy6YKagQhMFQFFiCJEEWIkxEhI4U5dSZ3YsjroNC1Cfv+rJ6voRogOBMfPfPDe9K6vnuxEQziHfYPOmao3ZuYiMIcIKEIcD0ryCYyEGAlxFlzBJAcK54AiZDLe5o7FhSyKshYxOXXq1GRuYC4iMGUEFCGKEEWIkRAjIYU7dSV1YsvqoNO0CBlmqdUw50zZHzN7EZg7BBQhjgcl+QRGQoyEOAuuYJIDhXOgaRGCZ5c/mN7vofNhzpk7L9EKi8AUEVCEKEIUIUZCjIQU7tSV1Iktq4POLETIFP0osxYBERgTAUWI40FJPoGRECMhzoIrmORA4RxQhIzpsXmZCGwxBBQhihBFiJEQIyGFO3UldWLL6qCjCNlinqTVEYExEVCEOB6U5BMYCTES4iy4gkkOFM4BRciYHpuXicAWQ0ARoghRhBgJMRJSuFNXUie2rA46ipAt5klaHREYEwFFiONBST6BkRAjIc6CK5jkQOEcUISM6bF5mQhsMQQUIYoQRYiRECMhhTt1JXViy+qgowjZYp6k1RGBMRFQhDgelOQTGAkxEuIsuIJJDhTOAUXImB6bl4nAFkNAEaIIUYQYCTESUrhTV1IntqwOOoqQLeZJWh0RGBMBRYjjQUk+gZEQIyHOgiuY5EDhHFCEjOmxeZkIbDEEFCGKEEWIkRAjIYU7dSV1YsvqoKMI2WKepNURgTERUIQ4HpTkExgJMRLiLLiCSQ4UzgFFyJgem5eJwBZDQBGiCFGEGAkxElK4U1dSJ7asDjqKkC3mSVodERgTAUWI40FJPoGRECMhzoIrmORA4RxQhIzpsXmZCGwxBBQhihBFiJEQIyGFO3UldWLL6qCjCNlinqTVEYExEVCEOB6U5BMYCTES4iy4gkkOFM4BRciYHpuXicAWQ0ARoghRhBgJMRJSuFNXUie2rA46ipAt5klaHREYEwFFiONBST6BkRAjIc6CK5jkQOEcUISM6bF5mQhsMQQUIYoQRYiRECMhhTt1JXViy+qgowjZYp6k1RGBMRFQhDgelOQTGAkxEuIsuIJJDhTOAUXImB6bl4nAFkNAEaIIUYQYCTESUrhTV1IntqwOOtMWIWed9Zp05plnDExXX/3pdPr06S3m0lkdESgLAUWI40FJPoGRECMhzoIrmORA4RxoQoSce+6b04UXfrhnetvb3loJFIVIWQ6rpd16CChCFCGKECMhRkIKd+pK6sSW1UGnCRGCAHnppZfSyy+/3DO9972/rxDZej6tNSoMAUWI40FJPoGRECMhzoIrmORA4RyYpQj5yU9+UpibZnFFYOsioAhRhChCjIQYCSncqSupE1tWB502iJCLL74oXXTRhQPT3XfftXW9P2smAi1AQBHieFCST2AkxEiIs+AKJjlQOAfaIEKGeXj9l37p36a77rqzBa6aRRCBrYmAIkQRoggxEmIkpHCnrqRObFkddNoiQj784Q/1fG6ECAki5bWv/cWkENmazq+1agcCihDHg5J8AiMhRkKcBVcwyYHCOVCKCLn99tsqETINIXJ8/1JaXNiWFrbnaWdaPno6+cfB7XCQLcX0EVCEKEIUIUZCjIQU7tSV1Iktq4NOKSKEf9e6447bJyxEDqY9Cwtpcft56UDtPSUHdy+lfYqQ6Xu+3qE1CChCHA9K8gmMhBgJcRZcwSQHCudASSKEv/hFiLzuda+dwNKsVQFy3oFU0x+tcQotiAg0iYAiRBGiCDESYiSkcKeupE5sWR10ShEhPDMSLzx8+9vfVr1XhKVZ475pfWUJ1q51EZAmnT7vJQJtQkAR4nhQkk9gJMRIiLPgCiY5UDgHShEhZ555RiU86tvxRMixtH9pIS3uGi0KcnD3Qu3ZkfPSgVPdT410xM2po2kf98ieM9l14FTnGZNDuxfT4s7ldGxdGGa1bD2PtclltSxbDQFFiCJEEWIkxEhI4U5dSZ3YsjrotF2E9HvLevxr1lgi5Nj+tLSwkHYuHx1yKdbq0q2aMDiIkFjofoB97SH33vs7QuTQ7rRjYXuqfuc6ZrVsuxEs+f6t5vFan9YhoAhxPCjJJzASYiTEWXAFkxwonAPzLEJ2Hxju36+qCEhNgKx4kGsRlQiIhAjpiI3M1axESyef/No1tVFdv9QrQpJl5FcRmAICihBFiCLESIiRkMKdupI6sWV10FGEbOTNrURB+kVN1pZfrQiJ+u889/wYZ9d/p3Qo7VkcJUKT5+53EdgcAooQx4OSfAIjIUZCnAVXMMmBwjnQRhFyzdVXpXftfue6xP5YnrWp5VhpsLDoduU2OPcgy6p2dZ4NyYVFdz79RUdn6VW1RGslr7XYSD0Xf4vAdBBQhChCFCFGQoyEFO7UldSJLauDThtFyG233pIQHPXE/smIkJT6L7GqO3iDRUhddNR/57nlx0Jk5A+oV8u1dh1Ip3wYJIfN7w0hoAhxPCjJJzASYiTEWXAFkxwonANtFCEhNAZtNxcJSSmN8HB6f8GSP9ex4imuCI3uh9JXjqw/t9pfRT92puUDy2lpYcm3tDfkcHub9QgoQhQhihAjIUZCCnfqSurEltVBp40iZPrLsVYdsIO70+LC9rTQeVh8zTHremP6qmCpn7fy71jdf9O7IkK2pQXewh5PqyciL/yTVve+lbutihP+yrdHOdZK5DcRmC4CihDHg5J8AiMhRkKcBVcwyYHCOdCECDn33Dd3XjQYLxxke/DgwcqrOuus1yReRvjSSy9Vy62aWI615s5lIiB7p0clIrqWRfU4r4do6Cy5Orqv+hvghU6evQTISilCuPR7+H2trH4TgekhoAhRhChCjIQYCSncqSupE1tWB50mREj9BYPxGyHCez7qImTQMqw4tunlWFPy5ToiJIuCbHSr/Jp4VmSjazwuApNGQBHieFCST2AkxEiIs+AKJjlQOAemLUKGcZSaFiHVEqxOhIKlU/3T6dOnhqlC55xcUHR2DvySPyuiBBkIlQenioAiRBGiCDESYiSkcKeupE5sWR102iJC+i3Zypdv5d85n4jKWG9Mn6IrN6oIyc9XgkyxYcx6QwQUIY4HJfkERkKMhDgLrmCSA4VzoC0iJJZojbotVYSsiI+1B9gVIBv6yJ4wZQQUIYoQRYiRECMhhTt1JXViy+qg0wYRMmXfyuxFQASGQEAR4nhQkk9gJMRIiLPgCiY5UDgHFCFDeGeeIgJzgIAiRBGiCDESYiSkcKeupE5sWR10FCFz4F1aRREYAgFFiONBST6BkRAjIc6CK5jkQOEcUIQM4Z15igjMAQKKEEWIIsRIiJGQwp26kjqxZXXQUYTMgXdpFUVgCAQUIY4HJfkERkKMhDgLrmCSA4VzQBEyhHfmKSIwBwgoQhQhihAjIUZCCnfqSurEltVBRxEyB96lVRSBIRBQhDgelOQTGAkxEuIsuIJJDhTOAUXIEN6Zp4jAHCCgCFGEKEKMhBgJKdypK6kTW1YHHUXIHHiXVlEEhkBAEeJ4UJJPYCTESIiz4AomOVA4BxQhQ3hnniICc4CAIkQRoggxEmIkpHCnrqRObFkddBQhc+BdWkURGAIBRYjjQUk+gZEQIyHOgiuY5EDhHFCEDOGdeYoIzAECihBFiCLESIiRkMKdupI6sWV10FGEzIF3aRVFYAgEFCGOByX5BEZCjIQ4C65gkgOFc0ARMoR35ikiMAcIKEIUIYoQIyFGQgp36krqxJbVQUcRMgfepVUUgSEQUIQ4HpTkExgJMRLiLLiCSQ4UzgFFyBDemaeIwBwgoAhRhChCjIQYCSncqSupE1tWBx1FyBx4l1ZRBIZAQBHieFCST2AkxEiIs+AKJjlQOAcUIUN4Z54iAnOAgCJEEaIIMRJiJKRwp66kTmxZHXTaIkI+9cmPp/e9511V+uQnrkzPf/e7c+D2WUURaA8CihDHg5J8AiMhRkKcBVcwyYHCOdAGEYIAedfud6bL9i9Xie8IkdOnT7fHQ7MkIrDFEVCEKEIUIUZCjIQU7tSV1Iktq4NOG0TI+9/77kp8vPTSS+nll19Ol39sXxURUYRsca/X6rUKAUWI40FJPoGRECMhzoIrmORA4RxoUoQc+w8/lY797quq9O7d76iiH0Q9SNdcfVUlQBAhfI/9sT36u2vXJiMkrXJeLczWQEARoghRhBgJMRJSuFNXUie2rA46TYuQJ//gf03PXXpGevfud6YPf+jPKsGB6Ljt1ls6IoTv7CNxDkLk2UvPSFyLiFGEbA2n11q0CwFFiONBST5BcZEQuvszE45eTDK/Sy65pBIgZ/zqNmeXFSJyQA40woGmRQgC5MePX5Devac7+kEEpFeKqMiPHrsgPXfpaxQhffzWj3zkI+niiy9ObOvL2Bhb2M+W9NGPfnTdOX2ydfccIaAIUYQoQqYYCQlbMknhMMm8FCEagJIMgGXdGnxVhMTIMHiLg9/WDwIjUl1kXHrppYm0d+/etLy8nPbv358+9rGPVakuVtpaP8vVDAJtECHwOMQ030/+4NFGJmMcz8obz4qMhNCVJykcJpmXIqS8TqDhss1K58AsRUi+HCuWX9W3sRxrlpGQcIqacQVHu0tdfITYQHDs27evEh2XXXZZuuKKK9KVV16ZPvGJT6RPfepT6aqrrjIaMhrUfc8Ox7l0UdcWEQKeIaaJ2k1KiHzkkhWBc/L7a8Lmko9ekvLfpdvzeSp/sSIESzJJ8TCpvBQhOrTzZECsazv4PksREg+dD7NtgwjBRrfpkwsQoh0R6UB0XH755ZXw+PjHP54++clPVqLjmmuuSZ/5zGfS5z//+XTddddV29Id56bbIwRHYJ87zKdOnRq5ODjZIXLz69kfeef7R77BCBe0QYTQx0KAhKDejAgJ4RHtFXkjPC7duxYljHvRh05kIsVxqh3jVK92UIRM+PkSOgfPg/hMSHtJ36sjuM/2ajMHGHzDyek1mM9KhLz88srf8dafAxnBZ2rk1MAOpxBHvy2f3KkKAcIyKyIe/YTHDTfckL70pS+lr371q+mmm26qtm2pTwnlCMzZhjMb2LPMjTSsYMDZhVOkyCs4Rp7hFEe+TSyhm7UICXzBgfrH0kFE9bjRCkRI3l6Bawh2cM0jhfQdUi9bOQ07T9uHjYn6s4+EbY57Um5wyffFsXnd5iLkwxd+uC+O4PbUU0/NPPjwqrqRm1QEY9x8IB4prod0ihAd2nk1KNZ7PO4zcMWAGYNY/I7BLHdu6ji3UYQcPnw4XXTRhUOlac7kh3MAjuG8sMRpmvesj1P9fkdb07Y4VDhTLLci6vHp2EMfQQAAIABJREFUT386XXvttVXUg4jHF7/4xfSVr3wlHTp0KH3ta19Lt912W7r99tur9PWvf73fLUbaf2j3Ylpc2JYWdi6no6fKe8kkeEZ7B7Z5/4k+lDuvRJvAPEQfy9zqqRdXuC5ERYiMcLjDKe6VN0voprmMrg0iJPoaeCAOAt9xRAhLrWhL8szFYkQK68sTiRT+xV/8RdVvwobW7eUkf1OunGvBsdzWUI7gCuUmNVG2SdZzM3ldcslHekam2B/YRRv3wi/6FbgNI0RicmCYc8N3H3bbShESIIaxU4SM54hthuRe2415iGNx6caljXiE/YgtdiQMccym4jSHY8MsOSmvSxtFyMUXX5TOOus16cwzz9gw9XLyhvWej+9fWnGct29LC7V00UUXdTkw4RThHG7mnsOWbdB50d60NQ4L7YtDhQOMI/XZz342XX/99V3i45Zbbkl33XVXuv/++9M3v/nN9K1vfSs99NBD6YEHHkh33333oNsNcexQ2rO4kBYrDHem5SOnUmkyJDDN+1DuDEb7R6QJrHOx97nPfa5a3sZStzyxn/ZgGRzC8Oqrr66EBGIiBAvCMb6H0OC8EJJcH0voEJXT4t8sRUjgj93CZuE0Iu7ABUzAGkxGESMfvXQl0hQChH4S7ddriWL0GaKFpGk6+yFAgm/BtZxn9OkQYVFecCCNgkNu75v+jhDEpzjxvbWozrBl6CU0Aq8Y3xAN9TEO3vDsW/Sr6FP5Nvob53Au14B1jJHDipZhBQjntUqExIxLHVBFSPsdv2E7UInnBS8ZEOBm1CF4itMT+9zOlqsxaEfbhFHGIMfsT8ymxgDGII6TSor2a7MIiTeo15ds8ZtICUJlMw5ZLxGC+Ih+ALbgCp6587KZe6549AdXnPbzDqRTQ754kfaOcvGdvphHQBhgmcXFkYolV0SUbr311kpkfOMb30iPPvpoOnr0aDp58mR68skn0xNPPJGOHTuWvv3tb6cHH3ww3XPPPcMLjtWygxHlObhroZFISB2HzbdF6syoRnvjEPZybOhHOIDgjLjInVYiTSxzqyf2f/nLX67ahIjUF77wheq6eCYHcZELGPaTL+dxPm3J9bGEjmV05DmJetcbe9YiBPx7iWoEXAgx8Dr5g/6295Of+mTVV+mzdQc1hDp2MNoQnKO/HDhwIN18881VtPCv/uqvqsjhtIRI9JuYSMjFRy6+cjFK3eEGCZ7AmzaJkbrgyCNR1JOEPY2xKn/2Zt++5artaf/YH/tox2hLcMqxqou0PJoVnIk+lWMHltH34Bd8QPTH+Eg/R6hMMiKyToTQAUdRMeOey8CRXxsDSZAPcAE1Zitn/UwI5SOFk+K2v8FrAptptkfkzcBOwjDmvMw7fvATx7aJenuPwbyLNsvbizYK4REDWQy4MYDh2JACX0UIUZCdafno6XVOPgMithkBggMaWDJgje0EHtuflhYWViIvA0QI7ZvfI5wWtgzi9M2YLUaAMJDyzAfOai4+EBeIjBMnTqRnn302vfDCC+nFF19Mf/M3f5P++q//On3ve99Lzz33XCVMHnvssSpKUndOO7+P7U/nLHaXHf5RJlJe3s41E/4SvOd+3Ju02fuG7Qtcw8nBwYl/E4u2px/RfxAGudOK2GOZWz2xnygUy+BwcFkSx3XxTA7tlQsY9nOc88Ih5vp8CR15hpO82brnzTMrERJtSltGf8MBxCkE77ogA69e4uBzn/ts5URyLfaPfps7qSEgyZO+cuONN1ZYgyX43nnnnenee++tooX33XdfJd5Zthi2clJbuEudqW/YGOx23WYjMnCg82e54EbwBxwQUBwfJMwmVe5B+YTgiL4U/ZP61X1c6hptQ/vkCQxIsS9+R2QDO0z7YvNywVHHirbNxXvgFtjFZAEYci44xtgInggWeIJdnZQQmYkIwcmLDhaNA/EwdhFyzGfYAtxBjb3RsbpjudH5+fEoKwQi5cf4HsSq72/yN/Vr8n6zvlfOoUFliTaDX8Gx+B5beEfCMOTGIRfBYRzo/NHxg5cYcQZj0qCyeGywgNgsPtFPadcYxHBIMdwR9cBAY0AZxDCuGFsMMA4qie+UQxGyIkLy5Vc5rvQHMK07RGM7f6siJCIuvfKhL8d4wXHKE/02ZuijXLQzgyWDKI5rHvlAfBD1QGT84Ac/SD/60Y/WPThN/j/+8Y/TD3/4wy4xwlItHDLyI1/yh0s7MwG1f/V9I4hfbAipV31yR3cz34P34BN4xETJuPeNPMGYvKhLjMnYvehHYBz9CDwQBrnTithjmVs9sZ8oFMvgwJMlcXfccUfnmRycXzDORQbHOS8cYq6PJXQsoyNPnGTO4dpJfZoUIeCej22BP9iDO0IfRxDeIczAHLEA7tSZlAsR7Bnncg0z4LRbjFexrC3aMAQkwpA2BEvwffjhhxNCnGjhkSNHKvFOP+D4Zm12XB9LjOBw2G7qzFgb0UzKmQsP6k5ZEUSUl8R3MAgxilM9KyESAoQ69bNVjE0h6ENA0C6080aJcYxEu0bUkHYGo7/8y7+s2p3xLecJz7rl4p0+FSmeh4u+x7ngiOhnbARv+ASmCBT6/SSESE8RQufNoxST/h6dLG+cUIU58cLQBcAY+yDtKNu4XwxgQYh6HmHAwxGlTJFiOUcMKuGg5jPhKNk85fmTT/57kt/z+kUdJ5l/G/KijlGOqG+0Y692i/aifaKN4FakaKf4nc8w5CIjhAZcxCjkHR+jCCfp+MxKkfge5XQ7XdFRxze4Dx/onyFAhnGaWHJDYiBjEFOEdIsQ+lruHCBA6BPwHyeHgYkBanFhexXN2HWg/vzD6lKrrmdMViItB1cf3g7BE+3I+LDmRB9Kl166UoawydHG9GEmB0JohqOGU8UgilOaRz4QH4gLRMYwH5a/ESX5zne+Uy3VwiEjP/LFCWKQZ0COulOOPGFPKN/B06ezZ0Ly50Xi2Zvz0oFT+TnH0v5zFlefKeHY0bSv83vlYfeLLlqZ0AMreA82ub1bXIhnUbK8NnhInryiDWhz8gNj6pTPmlNnMMY5wbHhGRqEQe60Ivb6JaJQOLbgyZI4hEQ8k4PzC8ZscXjjGOeFQ8z1sYSOZXR8x0nmHK4d9MHhw+av8av/2U2JEDCPlLcndgzsg9c4ljiGOItwEDEA7tSZxHdsI/YMx5I+QN/EcYzZbMYp2i/6Lm2I04lDijCkDcESTJ9++umK+0QLn3/++UqUs2SR47QLorBui/v9hk/Y1vx4PwFCnbExONmxPIx6UB9sNHWnrPCD8pIoDxiACXyk/rMQIbkAiX4ZPmPYK8aliCRSR2wp7UO7ICLyRDuRYl/8jsgGnAgbTFuCEbYJnMAALMCEZ93q4j36FluwjL7HuVxD+8Il8gihB1fgIO0BPzajERoXIXUHEqMZgwlGIRwGGoWOAuh5+Cgn7zDfc4MaA2ncM0gRRjsPh8WMNwNIOKX5wEI5SRizmFmI2fDYsp8ych35Ub9hyjzoHPALDOM8DFc45LmACkc8r2dcE1vOAY/4Pc1tXvbc2NJGg+5L3fIUoiPqF+1H5wbjaDtwz9sIgxYp2ih+57MPCI0QvggNeJjPLkTHp9PnywTymYJB9fHY5MVJ8AmewOdYkkP7x2w9bUjbYTgxogxiudOEc8NAxiBWugiJiELgwjb/0OdI0a/oUyQ+8UwIx2MADUcUWxgzk/QLBj9myXBCGexwYsIZ7wiRfKlVTYSQP/eJclIe9oUdiz4eY0QM4GGTY/YQBy3GDAZo2pgyMYDilOJMReRjWPGR48V3nrlhqRZihPzIFyeIeoMB3AITbAb2g0SZYuLiQIiQQ7vTjlWxVn/wn98VbtUT7Jlw6MItRMu2FMKt3k7YwLB/+46eTqfzJWMss+vzkHy0R7Q9uIcAyR3C6Ecxa04/iuVtudOK2EPA1RP7iULh2IInS+KYVY1ncsA3Eg4v+znOeZzPdVwfS+hYRkeeOMmcw7WDPvAF7oDTRkJkmiIE3sd4zvfgf/gogT3lxX4x3gSvcRbhIGIgBBn15jv7aA+cSvoA/RKbF2MU/QPO4qwiZnAwcTpxRBGGtCFYgu9//a//teI+f7P8yiuvVOKdfsBx2uXxxx/v3OeJAc+l4F/Rn3MREnyj3iF4ww+kzjHJQb1xeulr1AcbTd0pK/ygvKRcjOb1z6NDTYy/IUKoF22J/aT+1I1+if+BXegV3aGetMtGib5Hm8IHxAbtSDvTlmCEbQIn2hQs4ATPugVXok/Rr3r1Pc7lGsZFEnkwPsIpuMI9ECXgXpwICQOXNw7GAIchiIf4wMmjowA05CMB9igkguTRsSF5PpjVHVaMEuSIMGUMHmwZTGJgyR3U+kx4zIjHrDgki4GIumHIRyl//dwwWGBIirqF0cL56ueMgy8p8mQgB3dw4JrYzzbECfmCGyk/znfunSewjtTrXI6RD3mScgeDdqlfE785lqdeooOOXW+/aKdoo5hlYBvtFPti9gEHhgE2ZhZ6zS5Ex6fTw0k6Ig4tCSPAfgwE3MV4Rj3cTl58gGk4sPQH+AU/4DV8CHtCu9IWGHbaDAPNIIZBxojioJL4zkCO0cV4P/L0/emBo3ekO267ZZBPs6ljx/7DT6XnLj0j/fjxC9Kg94SEiM8fSI+6s63bhOhr9X4W/QdbERMvYTPCFvA79oVtxnZhC3G0w9HHHjNLhhMKXpF28IzEzuV0jAfMD6453R1hUomd3VW/ppxhx/hOX49Bu14G7DNtSjno35QlZnRjOQltTD+kTDhIOKWjRD42akzwJz/yxQmizmCAXcC5w2ZgP0iUCXsCXpQzpTwilIuBPDISEZFuEbJz+Uiq/uV3VVCEAAE77CmYhZPDBFhMrIBVSllefSIh8CG397QD+GNbaXvGMupA/aIfMVOKY0I/CpGXO60bYYljC54sifvbv/3bzjM5OL9gzBaHF5HBcc7j/H7vHcFJ5pxon173py3gDbjAJ+o3SIj0EyH0OfrkIAeXPsl5vc6JY2xpQ7hPX6UdwT36HXwHd7iF7YLX2CfsFBxEDCDIqDOJ7+yjPXDQ6QNwFMcRB5W+wZgFZ2k/xAwOJk4nzigCjzYEy0EfjtMu3/3udzv3IS/GwboYgY/4G/ATmwMe8C1sU/R36sy5+Ex1rlFe8s/rTlnhB+Ul5WI0r3+TY28uQGjTaM+YwIlJMeqX2yzaNgQEDn6eaKeISrCf74xhtCl8QGyADe1MW9Lm2CY4gtgACzjBs265eKdPRQI7sIy+x7lcg+jnehLjI5yCK7QDfZ/7T0WEQL7NZNzr2nCgc6NJZ4vGobNhHGgYFDsDXCh01BcAAzaNMAypaHxIHg5vTvReTitGNh/UGDwiUaYYWHIHFccG40B56ykGJK7F8CGsIB73GKb8vc4JZ6M+aNOh6eBgidCgIzNwgCkdmrpFClGEESZxDudyDdeCDYm8MAok8s4T7UbCoPRzZKL84J47POQT+XKPXvfL93M8BFRs8/pRBxwSxAbiAozBO9opbyOEQb2d2JfPPuBMxMwChqE+uxAdPzo9HRGHlgRH2Y+BwGhyfeDgdvIihP4QfQKRi+MEv0KA0Nfow2FPaBNsCQaaARyDzODFkhsS3xnIMbwxyzeMCMHGjPvpJUJCcET9oo7R73HEclEfjjv9jETfjH7Wqy+BD30IJ4y+T2JwJMXv2Ef/wnYg2MESu4YTiiODPWYwwgnNZ9YYqHYs7V8nQqqZ/1Vx8qmrrqrKGXY66kDZsQ/0+3xiAbtFe2JHKQf9m7LQfykPM4L0VQZo+iFlwkHCKZ3Gh3xxgqg3GGAXwIRJCOwHiTJhT5iUwMbkgqwjKlYLd3z/OWkH7xTpREMy4bA9hAknH+spvGlv7CPtFljFJAuYDfpwHddjy3MO0QbkR/tjU8GbOkU/YqYUx4R+NG6EaVC5NnMs2h0u0j4hNLAFCCkwYcxg/KMvxPH6PXuJEPphiH62dZHB8eirOKIkbEQ9hegAc/APzoM55Qrc4TjcwnbBa+wTziJ17CUW2Ed74FTSBxAXOI44qPQNxiwwof1wVHEwcTpxSPsJvDou8fsnP/lJ5z7kxThIH6QfgDW8AefwNbA58I26RuI3+zmHPo7PRJ0ZP/H3qDflJX/qjo2m7v3KWq8/1zUx/oYAgRO0eS7k8/pFX8IuhM2ijrQP9URE5Il2IsU+vjOG0abwgfqRaGfakjbHNoET4gIugEk/jkdb5lvO5RrGGsZG8mB8hFNwhXag73N/ys1Y0Mvvz/dhX8CFvsGYxjjXdzkWhckvHud7DKRxLTfl5nTE6HS50cRgYhxoGDocRh1CAzSGBGMP0DQEnWgjQcJAFs5yPrBhcBhsY3CF9LkqZbCgDAwekSLkFYNLzILTSShrzITnW/ZznGvJj4GSjhXiBCKO0jHCEQnnIwwYdcPRYMDGeEW9cMgxtHRocI3E7xBXlIFzQhxh9HDoc6GCMSSFk5I7KnQsEvclxTl8Zz9lihTnRX6Uk8S98vvV90dEg7JFijaj7NQBhwSxgdGL9qOtwD/aCEHL4Mk22in2xawDxhPewS3EBIYBo00ng3f1jg8n6Yg4tCSMABzlPIwJ1w4rmkfhgud2R0DoE/QH+gI2BY7FYAYfMPS0K+2ILcFAh5OSG974juGNWT7ak7aEE/Cm/mEgxYEY94MIufiii7oiIfT16O/hzGA3w1EPYU99uTf9n3rT10Kg0xfBIe9j0ZfAhoSNCEcVGxCJfbGf/oXtoG9hD2PQxAaDDYMeTih4xawaA1VHhDD/Hy/ty5YVYQ8Cu5jIyB0xyk/Z6fOUk3KEAKIc9G/KQp+m3zIjR39jgKYfUiYcpGl+cIKoNxgwToEJdgOukCgTvGNSAjswaRGS8x4ssbvgFeNZ2ETGHfpBLyeE8+EJvIFD4RjCJfbjQII97Y8tpS7Rj5gpxTFp6wcnCi7SPthk2gabz/jNeAw+1I2+wBgEftQ7xwkR8vHVSTj6G74L/bCeQojEfvpozmu4HZNvfI/f4M094TtlAG/6XvQ7ygnH4Ra2C15jn4b90AfolziO4EDfYMziO+2HmMHBzOs8bN75edyHvBgH6YNgjb0MnPE5GK/py3Au/IywSXkfz4Uu4y71przkP0rdKV+Uq4kxM0RI9EvaP/olbUsd6wIrbFbUEeceEZEn2okU+/jOGEabwgfEBtjQzrQlde4n0PI2G/c7XKEd6Pvcn7ZhLMAuYPNod2w0PAv/n74F/+k/jNVgxNg2UIRQwMhg1G1EPWIgRRly0xAgDJoYPQYZDEDdyNHhMOoQGqAxJBh7wKYhqByVrgj6w/UzrOQbTnAMzvzGqEJ67pl39HyAZbCIUBcDCAlgY2BhmzuolDVmwvMt+3FiuTYGIYwJ4gQjiDDhvv06R4ioOB6zKeGIQHAMGfWjgSF5YBmzhAw8dOhwxrkvv0Nc9RJHXBtChXYhhVAJJ4Ut+NGpSOGw5MfZT3kwqmz5zfEQDuSLYeJe9fvl+ylPCKjY5jOg1CEEB+SP9qOdQkTQFnQQnEm20U6xL2YfMJ7wDm6RMAz12YXo+HR6OElHxKElYQTYj4GgYyJS+nE02nVettgC7EIM1qPUO65lGym3KQz49AUGc/o+PItZW/iAoaddaRNsybAGOgawMLLwhvzoQzgw3Ad7ggPBvTf6YANJ+SfqE8uxqBfGOe/vGO5ccITjEsI+nHX6GSn6Y72PRV8CGxL2hxROKvaC77Gf3/Qv7AfOG7YwBk1sMPaYWbJeHxzA4/UDq0uz6N84IoEb9Qk7jS2LcQF8sQ2UFWcG0QH+lIP+TVnou/RbZuToqwzQ9MMmP2CAXYhxKewHZYJ3+aREtVRt+7Y0biQk+JJP6DGeghuYYl/hJniFUKPtwK3uaIIrHME2cy24M0aS6k4T2IM5WEc/oo1L+NA+2GTaBZvP+A0e8BqcwAGewTfGq3CQczzABIzp57lYg7uRaIecy9E/4Xngmm/JP/yR4HoIR8pF+RDYcBxuYbvG/dD2OKj0DcYsMJlG+zEO0gfBGntJ+akHPgd1wrYwjoefETaJ/dga/CN8JurM+Iu/R7372Zlh8aDOg8acz372M1W7xvs4OBdbHf0Nuzzo5YIIkLDb+GjYa7gAZ2hj2pd6gwF1pC9RR3wE8KKOtA/OPeNOnmgnUuzjO2NYvT8Pi8Wkz6PcjAXYBWwe7Y6NxmbAW/QD4xJYgAnYMGajB6YuQmgUGpIBFfXDYBoGs1fD4DRisCk4Rh1C14GmISBUCBKIGuTCOcCgYIipdChutvyGCAyAkCEGNhzzfICFGJSBwSMSwMbAElvuW58JjxlxttSBc7iW/HBGyRuHGCOIMMFpjrLn29zghRipOyIYQowchoxBhHpFnWLwwdDSocGVxH35DUFIdXGEseDaECohUug4OCSRckclHJZejgzlwaiy5TzOIS8SeWOYuFd+v/p+ykMbRaKMdGIEHfWjDuGQQP5oP9opbyM6SKRop/gdsw8YA3gHtxATGIb67EKdj706NAYCo4lIwYjmbdvrOx0TJ5o27nW8tH0Y7nwigt/hXGMPNhIi+TnYEK7Nrw8HHUOGQcOm0Bfo5zhV8AwDGIMZzintirEc50Nbwgl4Qz8mX3jIfRhEw3mhL+aOSn4v2jZPcQxDHAkhwncGMc6FE9Qtd9CxDdwnbFo+mUI/i75GX6Wf5X2MvkS5wYY+hP3B9kVfoj/xnX3huNK/sB04b9jDcPSxwRt9ECE86L7nYPavT8f2p8OHu5dphJMW9aJOufigzJQN0QH+lIP+HRME9Ftm5Oir03CsNqonx7ELYILdgCskygTvcICxMYwXOPHUA1xpA2wfbUW7wV2cYPCgzfftjDeuryzHujRb2hPcx3ZwPtdxPXaWPPMxLZ9s2bG0Lx09dTrd08MJzyebyIsyYY/hCRxgLAPrcfvRMDhO6xxsMm2DzYc78Ih2wEmOdqA/M16FgwwGYBKJfp77FfgwkRBt8JctfZP2iIk3riMP8svz5Dv3Amc4QLvBddqOcoF5iD7GklI+9EGwxl4G3/E36MNwiTqGnxE2if30CfwjeEY7Mf7i703qg4NPn6yPp1/5ypertqL9mByPGXvsMH4rie+k/EWIH7ts7W+4ORZ9EpuNWMVWwxfamTamfcGAOsJBbALtOiubNSlcIx/sAvjS7tho+hfjCTYEn5t+QH9hjMS+gdOGIoTM61EQnDyAjP0AjSGM3zgNoQhpPBomBlRujMGkYXCaw2BGw+A0YrAx5sM4exAUokLYcA4YYBl8afRQ3CE6MDIMynQCDA/3xTHPB1iIQRkYPCIBbAwsbMNBrc+Ex4w4W+pA2biW/HBGKSfiBAIiTEIx1jsFxgsjhkHLnRqIjbMFhjFgY9xisKBOGK9wymkrOjS4krgvv0Nc1cURRo9rQ6hgFMgPnPIUjgqGg4TRrDsy7KctwJotv+Mc8iRvDBP3yu9X3095aKNIlJFOTN1oc+pAvRjgIX+0H+0E/tFGdBCcSbbRTrEvZh8wBsPwLjrdMFs4CgdwmCgv9QALOAovcbjomLQp7VvnQkm/c/HRSzSEoQ5nPJYrICRCmLAvjrOP79iQSPzmfBx07E5u7BnQwRU+YgDhOnzAOZ1Eu8Ib+jH5hoFlEMWBwHlhsMkdFfpoTCgwuEWizNhCys+AhzEmxXeOcW7ez7GZcIX+nk+kYEOpMyI9xAX1p7/Sz/I+Rl+i/1B2+hD2J3dQ6VMk9sV++he2A9uFPRzF0Q8Rsrj6rAPPO9C/KSvlph7UibqRwA4M6RfUCdsRNpq+Qx8Cf8pB/6Ys9Ok2D+LwDgcYG4MtwomnHuBKG2D7qCNtx2ANj8ABRzYGa3gB3yPBFTjCcWwH53NdCAbyjDENu0jb0Q/Ycm/4SzvDhbg3DhKYM0aSyIsy0V7wBA5gx9qM9TD2GJvP+A2PQhRGOzA+5Q4yGIBJJHDJ/QrsTaSI5rOFv7QHHOeamBCIfGJL/tgPcKYdaDf6Jm2H8w7m8AW7U+KHclN+cMbnoA/DpdzPCJvEfvoE/hE8o19P64NfEOMqbU470K7YHvwubDY2Ouxz2OWw00RLrrpqbeki55HokzExTD7YanhAe9PG2GL6HXXEfmETtuKHdsdGY2uoLzaEfkVfoL+EfWN8HEqE5CBhRAGQTkLj0bloOJxlGg0hghMRS4XCWHKMAbVuMHGa84aBHBjsUT8Yltw5CMPKYEcnjwGaMnO/cGTpFDiw+QALMSgDg0ekUctTP5/8cEbpWDFbhjAJxRgdgi0NBXFpLLBlcAY3GoxtPsOCweN8GpiGxphivKgTBGDgoUODKwnjy+8QV3VxVBcqGAXyAyfIlCc4gOEg8T0/xnf2Y1Aj8Zv95EWe5I1hYkAk8Z199f3UJU+UEQ7SZrQ5daBDw03IH+1Xb4NZ/8ZhorzUBSxwEMMZi45JW9POOR/G/R7PZA1zPeJhmPM2Ood8IuqRR0ARELlNCIONXcBo40yR+F531DHskTif45zLQIHdATP6CYMIfZ2+Dx/hP1yftKEPUcnACp8ZRLknfZDBjP4YjgpONgNR7mhTXhJOJuWnvespohwY616CI59IiVlTxG2Ii+iP9LO8j8E9+g/Y0IewP/QjErYiHNV8H/0L24GNHUfIxV/+Vg+lb99W2Sjwgvsh3uB/faIIoR7ONOWm79CHwH+ccsy6/8f9ceKpB7jSBiEIaLsYrMEFPGKwhuuMnyS+wxc4wnGw4/wYA7At5EkbYuexi7Qd/YDxh3vTLzgOF7DH3DvEEGMkibKwH3sMT+DAVvrAoxCF9XagT4MHGMDVSOCCMxl+BfYmEiIuoo4cpz3yiTfywOaTIj/y517gjC2h3UI04ryDeemij/KDM1ykD8Ol3M8Im8R++gT+URMfyoQdxFbSDrQrYgHfC5sdk8B12xy/sd34YyS+k+iTTCAzHoX4gAe0OW2MLcbGNlXHJnDsdw9sNLYGO4MNwecKJ2JqAAAgAElEQVSm/9BfGCOxb4xtI4sQMsaRpfEwdmRKw+EMM7BiIHEkSPVZvDCYdaeZhqGgm22YcA4oWxhWBmY6eQzQdHTuF44snYL6jDvA9muAYfYjTEIx5s4dwoyGCoeGxoLUdAy2DDoQPGZAMXQ0MA2NMcV4xSxhPweMdiTVxRFGj2tDqGAUyA+cwknJHRUMB4n2I8U5fGc/bYFRZRvnkRd5kjeGiXvl96vvpzy0USTKCFcYUGlz6lDKh/JSD7DAQYSXOJG0N44EzisdE0OGUaMP1f/uMOdKv+/5Uqh8KVOv82PJZK9jo+yrCxCWFeXiA+GRz+7XBTWOOvUOJz0cdQx7JAYG9kdEALsDZtgg+g19nb4P/zCA0/rQdxjEuA+DKHaFQYbBLHdUcEooG32VcuaJfk356dO0OSm+c4xz4QR54NQwSEaEI59IYRCFS5SDfoYNiL5IP8v7GH2J/gM29CHsD7aPvoStCEeVfeG4TrJ/cf9e4g3+Rx3Bj/rlzjTX0Xe20gdcaQNsH3aTtsOGwyOcVPCIwRpeMH6SGAfgChzhONhxPteFYCDPjcY02hwuYI+5Nw4wfQcuk8iL/dhjeLJVPzjJ0Q70G/hJXwIPMACTSNHPw6/A3kRCtMBbtuFvwOHAkzzop6TIj/yj38IB2g27QtuVLj7qfMFm0ofhUu5nhE1i/yRtTf3+vX7nTjL9B7GAaAgxEvY57HLYabYcwxcj8Z1En8TW47uRT/RL2py+hC3u55P1Kt9W2IedwYbgc9MX6C/YePBhbBtZhAAKnSMGEzoZQDMLwKCJgcSRIGEww1jGgIrBpABhMBkwaRgKOqkPxArDSgePBAkwMtwvHNk2DGy5Q4NAIppBQ4VDQ2NBajoGWzBkH+KDTkMb0MA0NMZ0UsYrRAr5gVM4KbmjguEgYTTrjgz7aQuMKlt+cw55kScGh3vEJ+5X3x/Ht9IWLHAQ4SZOJO1NP8LRpGNiyDBq9CH6Uq+3vn7ikyv/u14XKbEcMsRFPD8Ra1rz8/d/bGUdK0uciFTEkqhRxAfn1gVIPP9VXzIVM0XYCeoXYhpnijrXnXWMep44H1vCefQH7A6Y0Q/oN+BJ3wffJj7wGVuIA4HzglOROyo4JbQr4gGRFIky04cpP32aNifFdxxQzuVa8ginBq7gwOQTKdg0uIS4pZ9hA0JA0M/yPtYEJoPuQd/H0cLuU4fACv5HHdnHMYR6ONOD8twKx7CptB02PEQaeDBWwgW4jiAl8R2uwB+Ogx2Ycd04goE24d5gTd+BTyTywnZzfF4+9GfqTJ8GDzAAk0jggh8RPkW+RbTAW7bspz1i4g37QB70U1LkR/7cC/znzTltC6ewlbQD7YpYiEmA3D6HXQ47zRbbjS9G4jsp/DJ8N/LBVsMD2pw2bpMtbhJ/fDp8bvoPfQN7xcQ5Y9tYIoTCM7jReWg4MkT9M7BiIMOZqM/iMaDWDSYD5jQaJgwrAzPljAEaIzON+02iQSkbAokBmoYKh4bGgtTgxxYMITjig06DoaOBm55FmESd5zkP+hC8zDsm7UrHRGBi1OhD9CcccQQ9oiQiBISFiTwSXSDKgMPPsxKxHDKem4j1rLEEiqVNfI/Eb/KIpVAseeIY1w0jShA78fwHggexg6jhevJm6RRRHcQUdYgJidxo40zhqFPvuqOOYc8TxyMigN0BM/oB/Ya+PovBnHvivDCY5Y4KTgkDEeIBkRSJMtOvKT99mjYnxXccUM4Nhxx7EJMoODD5REpps6bYZuwVAzNYMUhTv7yO1K8pIdkmG4QNh0c4reBB+8MFRDb2PxJcgT8c5zzO57rNjgG0DeMQabN5tQnXccsCBmASCVxwJsOvwN5EQrTAW7Ycpz1i4g37QB7YfFLkJ8bjtsxkr6MdaFdsEvYIm42NDvscdjnsNFuO4YuR+E6iT+KX4buRD7YaHtDmflJlV+gv2H0mzhkfxxYhAErDhbpB/dNoGEkcCRLfaax8hguDSQEmYTC3YqMikBBmNFQ4NDQWpKZjsAVDCI74oNPM42C9ldoeJ5L2xpHA0aRjYsgwatGfcMKZfUGU4MSHKCGigChhaROCJJ6rQFDwPV9DzjmxrCnWscY+8kAksGXJE/sROVxPXgiTEC+5MEHw1B8Yr4sP8iScna+RpV7UD5tBXXGmcNT5XnfUMeyROJ/jERHA7oAZ/YB+M+sPNjF3VHBKGIiweYikSJSZfk356dO0OSm+08c5F06QR0yiwBUcmLZOpIyCP44ZtouxAP5HHcFvK9RvFCzq54INeMAbuIDIpo+QGAfgCvzhONiBmZ/ZIzDvvJ19C2yuBIgF7BE2Gx8r7HPY5bDTbDlG3yTxnUSfxC/DdyMfbLWf9Qhgr9AOjG2bEiGRNQMJmTGwYiBxJMKxoLFoJI4xoGowA7WNt+HQ0FiQmo7BFgwhOLirsDfGsZQzcDyYjaEvYcgwajgd9CWccAQ9zjuRAJZoIEqIPCJKWJeKIInnKhAUfCdyEutZOSeWNsU61tgXS5zYIhbYH+vQyQthgoAJcRKChwgK4oSEUEH4IF44l3uz5Io8KSdCihldhAT1on4hpnGmSNS77qhj2CNxPsc5l/7ArCOYtbUf4JQwECEeEEmRKDP9OpZ80OYk+jdbHFDOhRM6NqX04MmXk8EaLiCyGT9J8B6OwB/Fx+QxN0cRwGbjY4V9Drscdpotx/DFSHwn0Sfxy/Dd/GyMAGPbREQItwJ0BlYMJI4EqT6Lx4DqZzwEwJeOIbnHw6+kq+iYGDKMGn2IvoQTjqDHeScSQHQxFyWsS82XQuZLItmPYOEcxAsp1rGyRRwgbGIpFL/ZzzrYWA6GMEHAIE5YUhUChShHRFf4HqKHc3nOgyVX5B3igxldhAT1on4hpnGmcNSpd91Rx7BH4nyOR0SgpHbtV1b6NG1Oiu/9znX/fCKAyGb8JDEOwBU/IiAC00cAmxx2Oey0/W9yuE9MhESRMJA4EiRn8QIVtyIwHgL0IfoSTjizLzjvRAKILiJKiDwiSliXSpQknqtAUMRzEwgABAvnIF5IsY6VLVEW8oilUEQq2M862Hw5WIiXiMAgMohyRHSF7+xDvCBkeM6DJVfkHeKDGV2EBPXyIwIiIAIiIAIiML8ITFyEzC+U1lwEposAsy8470QCWKKBKCHyGKIEQRLPVSAo+E7kBAEQyyJjDWusY2VLlIU8YikUkQr2sw42loMhTEK8IGgQNogMohwIDhJ/TME+xAvCJpZckXeIj7Yum5puy5m7CIiACIiACIhAHQFFSB0Rf4tAIQggSog8IkpYl4ogiecqEBR8J3KCAECwcA7ihRTrWNkSZSGPWApFpIL9rION5WAhTBAnCJp4UJYoR/7QOMID8YKw4f4suSJvxUchpLKYIiACIiACItAQAoqQhoD2NiIwbQQQJPFcBYKC70ROEADjrGFlHSzXkxfCJMQLggZhg8ggyhEPjfPnE+xDvCBsfGh22i1u/iIgAiIgAiJQLgKKkHLbzpKLwEwQQNAgbBAZRDnioXH+mIJ9iBc/IiACIiACIiACIjAIAUXIIHQ8JgIiIAIiIAIiIAIiIAIiMHEEFCETh9QMRUAEREAEREAEREAEREAEBiGgCBmEjsdEQAREQAREQAREQAREQAQmjoAiZOKQmqEIiIAIiIAIiIAIiIAIiMAgBBQhg9DxmAiIgAiIgAiIgAiIgAiIwMQRUIRMHFIzFAEREAEREAEREAEREAERGISAImQQOh4TAREQAREQAREQAREQARGYOAKKkIlDaoYiIAIiIAIiIAIiIAIiIAKDEFCEDELHYyIgAiIgAiIgAiIgAiIgAhNHQBEycUjNUAREQAREQAREQAREQAREYBACipBB6HhMBERABERABERABERABERg4ggoQiYOqRmKgAiIgAiIgAiIgAiIgAgMQkARMggdj4mACIiACIiACIiACIiACEwcAUXIxCE1QxEQAREQAREQAREQAREQgUEIKEIGoeMxERABERABERABERABERCBiSOgCJk4pGYoAiIgAiIgAiIgAiIgAiIwCAFFyCB0PCYCIiACIiACIiACIiACIjBxBBQhE4fUDEVABERABERABERABERABAYhoAgZhI7HREAEREAEREAEREAEREAEJo6AImTikJqhCIiACIiACIiACIiACDSPwKWXXprO/PXF9PJPXm7+5iPeUREyImCeLgIiIAIiIAIiIAIiIAJtQ+D/eNOr08UXX1SJkCeeONm24q0rjyJkHSTuEAEREAEREAEREAEREIFyEHjih99OP7/VRMgzzzyTSH5EQASmhwDGo/5hX76//rt+vr+nh8Adt90yvczNWQREQAREQAQ2gUD4B3UR0nb/fcNISIiQtldkE23npSIwEIHo3Btt80wmeW6vvPJ7Dfs98hn2fM9bQeCBo3ekWYuQt7/9bUM1x/nn/0k666zXpFOnTg11vieJgAiIgAiUjcATP3ysmrBkjN/SIkQhUjZRLf3oCITjXtI2r2WvcufH/T4YgUeevj/NWoQgKnbufH266KIL03PPPTuwwKwF5vzTp08PPM+DIiACIiACWwOBjUQIvntbx4SBkZA8CpJ/3xrNZi0miUAvZ5d99U9+XhyLffGbbeyLbX6sie9x31K3vTDM67LR8Ti3CazbfI9ZiJBrr72mEhKHDh0aGZq3vOXcSrC0dcAZuUJeIAIiMDICTdjvJ7PZ99PJSY+RG2lCF+QChHbvFQlRhEwIbLOZPQJh3EbZRqmHuYZz+50X+TSx7VeGedzfBN5tvMfR7z6UZiFCnnvuufS61702nXvum0eavTp8+HAlXi688MMjXddG7C2TCIjA+Ajk41SvXJ58cW35Duf2m7TgvPxYLjzye8R3xUgvtKe7b1gR0lYhMlYkhMr4mS0CdPpZfMLYzGrbVJ1nVb823rcpzNt0nxPffyTNSoSAQ0RDECIbRUQQLZdd9rFKuLzpTb+enn128JKtNuFsWURgHhCoO4ppipGDXmNIYFwXH/m5udjg/EHn5tfVvytEAu3pb+u8oi36RUKKESEUdJg0fXi9Qz8E8k7f75xp7M/vO6vv06hXPc9Z1a3N961jtFV/RxvMWoSAL0KEiMiZZ54xVEKwKEC2KjPnq14njx/dMhXu5SiGnalvx610PZ9Z/96sEAnMpiHWQlzVRRfYr4v8ZBGjzdZplLbtV3/2ByZxTr2tixYhw4iP/JxRQPXczSFQJ1r+e3M5D3d1fr9Zfx+uxOOfNev6tfH+46NZzpU57m0QISBHlOOaa66uHkrnwfR+6e677yoHaEsqAhsg0FYRcuy730rYhtxWTPr7BtCsOzzp+08qv8047bmDHU73uorXdoxT7lyIhDjpl09en37L0vJzasXr+sn1+bn8jnrmdacs/fb3K+cgEYL/nte5q1Az+tFZjpWLi1G+z6jcc3fbfoSL/ZMGJPJt63be6tuGdpg05rPMDzzzTx3ftoiQvIx+F4F5QaCNIuTRZx6olmhOW4TUbdOgNq/brTb9zp3sQXWoH6s74St4nO4Iv/r5/G6q3tSpnwDZqAyBR1xf/73R9cMe30iEtE2IvGoUwdHr3F6EaOO+YRqwjeUetoNNuuzD4DXLc+atvrPEOu49CPNhzhl0/bSO9SpX7Bu0VYRMq0XMVwQ2RqBtIuQbx+6s/qSC58SaECHYpmE+g2zYrI+Fkz1MPfJzeomQel3i/Pr+0n5vRtT0q+vciRCESQmffg1W309dYt8s6xVlGHe7mbKPe89ZXLeZesa1syh3qfcMzPJtvS75sX7f45p+xzfaH9dPa6sI2agFPC4C00NAEfLtyg/ZCOFp2b9J5TuqEBlGgEyqbFs1n2FESJuiIZuOhJQgQsYlW90ARD75/l778uPjfo98N7Md596bud+srh2nnvk1syr3Vr4v+Eb9cqzz/XE839bPjd/5OU18V4QE8m5FYL4RuPP2W6sXlvJ33U1GQsLO9UM/jrd5qwhZEZNNtpEipF+PmeH+zRAgir2ZPOLayIttr31xPI5tdhv5Dbvd7P1meX2vOkZ5eh2LfXGO2+aNZT/Mo21i2++8ae5XhAT6bkVgvhGYtQjBzvX6TNP+TSvveMi6d326310yrTJs9XznUoS0MRqy1Yk2bP16dXb2DXt9Seflda2XO47V9/u7PeKjTW2hCIke41YE5huBNogQbGP+aZOtHLUs/YSIS7EmMxYPK0LasiRrIsuxFCGTIc+ondnzxV0OTIcDipDc5fG7CMwvAm0RIVvF1uciROEx+fFLEdISW7VVOqz1mHwnFVMx3YgDipCWGHKLIQIzRkARMvnxAiGiAJk8roxrbRIhvDx3o4jLxCIh40ZDuG7ca/vZpo0cDI9Ph/ziKq5bhQOKkH7W1f0iMF8IKEIc10oa19oiQkKAhI/f7yWJExUho4qJKFxsJ2XaSiKMZdXAyYH2cUARMilrbD4iUDYCipD22WfHzP5tMooIwffuJw4G9dqNBEb9eP0+cZx7T1yEhKBgG59836jfI49RthK0P0HFRmzkwMYcUISMYnE9VwS2LgKKkI3tpWNKezAaVYTgk48iREJA1H35yKPf8bhP/fhURUi9kOP8vuSSS7qsW5C9a2f2I467bU+nsC1si9I4oAjJjKpfRWCOEVCEOH6VNH6NI0JCIGzUzesCYhyfvn5NUSKkJCJYVg2XHCiXA4qQjYYjj4vAfCCgCCnXjs/jGDyuCOklRKYhOooUIWf86rbK2s0joayzBlAONM8BRch8OJjWUgQ2QkAR0rz9dcwbH/PNiJC6QGjidxGREEQISWKOT0yxEzs5MDwHFCEbuWYeF4H5QEARMrzddIyZPVaKkNW/3J2UguKZEEXI7ImtcbEN5okDipD5cDCtpQhshIAixLGvpLFPEaIIMWLzQ41WSUbLsq7n61YVISePH00mMZADw3EAgaIIWW8fHTPai4kiRBGiCFGEyIHCObBVRchGs74eFwER6EZAEdJeh1sxtL5tFCGKEB3Qwh1QDdt6wzZvmChCuh0xf4nAvCKgCHE8KGn8U4QoQhQhihA5UDgHFCHz6nJabxHoRkARoghRhDyTJvWcdz0f/x2rcGeppM5hWTXmpXBAEdLtiPlLBOYVAUWI41Yp4xblNBJiJMRZcIWdHCicA4qQeXU5rbcIdCOgCFGEKEKMhPiekMKdupI6sWV10FGEdDti/hKBeUVAEeJ4UJJPYCTESIiz4AomOVA4BxQh8+pyWm8R6EZAEaIIUYQYCTESUrhTV1IntqwOOoqQbkfMXyIwrwgoQhwPSvIJjIQYCXEWXMEkBwrngCJkXl1O6y0C3QgoQhQhihAjIUZCCnfqSurEltVBRxHS7Yj5SwTmFQFFiONBST6BkRAjIc6CK5jkQOEcaJsI+S83P5nO/uQjaccF96W//8F7q3Tm3gfTb33+SPraiRfn1T+03iIwdQQUIYoQRYiRECMhhTt1JXViy+qg0xYR8vmHv5fO2vtgJTr+2cUPpDde81j6jzccrdIvXfZQR5D83hePpdNTd8e8gQjMHwKKEMeDknwCIyFGQpwFVzDJgcI50AYRggB59QX3VdGPPzz8RHrp5ZfTy7V089Hvp52ffKQSIwiU0yqR+fOSrfFUEVCEKEIUIUZCjIQU7tSV1Iktq4POrEXIkRf+W3r1h+5LLLl69Dt/s0581MXIfz78RPqZD96b/qMRkak6pGY+fwgoQhwPSvIJjIQYCXEWXMEkBwrnwKxFyJuufayKbnzmoefXCZCLLrowHTx4cN3+nZ9aiYh87bjPiMyfq2yNp4WAIkQRoggxEmIkpHCnrqRObFkddGYpQoiC/Myf3ls9/9FrCdZZZ70mffjDH0ovvfRSlxBhaRbX8bC6y7Km5ZKa77whoAhxPCjJJzASYiTEWXAFkxwonAOzFCEX3vZMtbTqY3c/2/M5kPpSrPz3v7viW9USLkXIbF3l4/vPSTuWltPRUz6kM9uW2PzdFSGKEEWIkRAjIYU7dSV1YsvqoDNLEfLWLx6rlmK99NL6B9ERHP2WY3Hs9244WgmYzYmQY2n/0kJa3L4tLWRp5/LR4iIsx/cvpR0Lu9KBU6cb/fcwRcjmnf+25KAIcTwoyScwEmIkxFlwBZMcKJwDbRYh/ZZjTUSEHNydFhe2p3WC4+DutLSvLSLkUNqzuJB2Hzi1oShShLTFlS+3HIoQRYgixEiIkZDCnbqSOrFlddCZpQj5/a+erKIZh49+v+uZj1h2NUiE8EA7LzQcLxKyGgHZdWDM6xtyNI/tT0sLipCG0J772yhCHA9K8gmMhBgJcRZcwSQHCufALEUI7wfh73b7vRtkkAj5F5d8o3qz+ngi5GDas7CQFs9ThGzW83Y51mYRbM/1ihBFiCLESIiRkMKdupI6sWV10JmlCMH9+ucfeSDxhvRez4X0EyHxrpA/uvnJsZ9/OLh7IS0u7EzLRwc/Q8Eyp0WetTh9MO1GuMSzI+cdSNWz2KvRis4zJbG/41v2eO6kOmftQe5DuxfT4s7ldOzArmqJ2MLO5bS8i/J1P6uyULuuc4uU0rDLsap7deV7Xt/nSIY5t5cIiet2Lh9Jp04fS/vPWUyLu8Brrc4prd9f5VU913I07eOawHr7trRriCVpOR5+Hx0BRYjjQUk+gZGQTUZCTp48mQ4fPpyuu+66dMUVV6RLLrkknf/n/397Z/4kV3Xl+fkD+ocmYqZjYrpp9wzKwu2YiGlPzGAMPe0Zwgjstj1CdLu7bYc3lu5wh7EdtlYYAwKJ1SCVhLFKJZUkBEiyFoPQXlUItC8llVYklUorgpYN2MYYLFDpTJybeV/dvPky82VWZr6XLz+KSGVW5tvy3G+++/28c899D8nEKT+Qni3r5OSvDnOVGSBBA2igrhqIG0LsDFl3rRqMNEPWsQu/C25umOdpK/ZcuWyIGl0FgCIby0KIwsA46bbL5MBjzJgxkhmVLQY3u7fvu4XtBTUmPabOw61Fsaa9ADJqOhwrW1+isDNov4eIZPc9RjpODDlA5yzrzHoVtqwPIYXLFMJGtqkK389CiMY6/3js+4BIxSKvaAUgBAhJOoSoL+7dul5Wrlomjz35cOCbV65cafz06dOn5Y0RevN6rf/v6rXhara7e/du6erqMgFU+Ah7dM2fJzsPbK6rAUm64Dg+TopooL4aiBtC1CXpdLt/rndBLwMiyw/9Sq6ffcDUgqw48rZjmivyWnkLD0NGOIxkPy/MmPRo9iIkk2LeLwE1unN/maxxD8lI1BBCzD48AMkGohAGgmUdACm2rAshWVjIB4iwjEfJbWXCsx7Fjym7Nf4feQSAkPqea+nLRhbfXQe3yPwFZXxzV5fs2rVLzp8/nzgYSQyErF27NhQ6nn766dD3V298ARDhajgaQAN10UDcEDJt0zlTF6JF5goiOjTrwZfPit6Q0Baod+1+09zQUD/X5WoFIK5tG4aRfODIvq/DsdyhRNnhT2aYlmfUg+Xz3g8ZkuWAijXYBdmYmkFINrOhw6O8r2FCkIUHO73v8LJ5XyEXrPxlNQ7Z+4R0d+iwtTCAKISc7KYK3/e3nd8+Y2OZgtg9hrS/BkJGZpKBjPrFb033ixLmkcPe04v6a9asSRyIJAJCNAPiZj2ef/55Q23vvvuuOb/ps1Kcvu8uR0akfuLmxEFsW1kDcUKIBZDrZh+Qgbfelxnb3pBPzuo3MKLA4T++suS4Wa5+ZjA3RMsBhAAqPPcevO85df/9bMbkqrypgEMzIc4+g+/XIAiR3gmOwS8NIfnL5iDE1piE1qwUwkb2+xW+D4QELR/LCyCEvjCJfaFmQFzYUH+8c+dO+e1vf2t+J+qb1VsvXrw4zzcnLSMSO4RoDYg7BGvp0qVy2evY7JlH39fPLYjo0CxqRDhBJPEEwTE1ty7jghAfQOy5T5911qzJG87I9146aR4KJyfeet9dpG6vA4jInZv9v+2Og/dLQYgLEXbFYsOxYoSQfPNfGkLylx3OhAx2j5erzX1XtBjd+bIhBejZT4EQN0pJeA2ENPe5PI19sfreBQuHh2CpL7506VLoz0V987JlywJgUb996tSpxAzLih1CtAjdQoWSXDEAsdHVz92MiBarp1FkfCdOfGggPg3EASGlAMSe/+J6zs6aNVyEHsCGd8EoeD/fcZtZqoJhWqEQkhua5UBH/Ydj5QrQ61wTks2S6A0g80HEfr/BvFhlYUenSbazZmUBx68pUSUUAktc+kjzfoGQ+M7D9IHhsdcidJsFUT9cDEDs71J985IlSwKv3dvbm5hhWbFDiM6CZSFE00RR/ulydh2dDQChhguVuBAXNFCdBhoNIckAEB12NV56PLCQkLuoB7DhLRu8n2es/VqR7ExYWaOdPePb4VnujFzWpBfUhIjNSpS/g7sez9VmetsiUw4rELVlzExghbNjeUXxJztlrF3W+X7mODP5yxpwuKVDLGBkQUKHnzkgYoZ7jXKm2c1Bhc5MNm6jByG5mciGhr9H2H6j9J8sU1kEgJDqzqH0PfWL2y9WLw8gRIdglbt4r4rXoVkWXHTWrKQUqccOIXYaXoUKWwNS7hTxwQcfBBDStWAeEEJxMhpAAzXVQCMhJBkAomddZ3pe514UZmpY774hAWxUBSF6ET9713N7HxGdmrdb7wESJROih5oz8GZ9J2vg9x1ZCPHuK5KbfngYOjQLk3//DYUhCxD523RAwcYoZFkfQnQbFkTcbQfv5bY1vvuEzNFjce4fkl1mvHSfmJMFJrtfnR7ZgZL84+SvWkUACKmfmQZUqovtgmeGh2L95je/iSR19c2zZ8823ll99+uvv56IIVmxQ4jNaCihVfLPhRe7DZ7DpzUmLsQFDVSmgaeeekra29vlySeflEcffVR2bNtSyekp8rLJAZDIh8yCDY5AACEAR4Mjn92dQshjjz1mzgV6TtBzA+fTys6nxKs+8VLfXOKNcXgAACAASURBVG4olvujWbhwYaBdICR34xQXJqJmQnQ5K2q9keG1/3AVD2KABtBA7TTw5avkU3//X+R/3vqf5X+M+QvZvnWzey6vyWsApCZhLLqRq3XoVJA1KMyGDA0NFV03SR8AIfG2hkLINWOz5wI9J1z7ZfwGniteDTz8k6mBB46aCVHf/LOf/cysRybEuXPjSGtC9E7q/CDi/UEQf+KfOg00AEI+9nif2Gl447VZ7D3JEQBC4m0dIIT+LWn92/j7vydP/TSbkaMmxAGKau6SPtLZsXT9avbLOm8QtxFqFw2lV0OaqtbpwwcGBuTQoUN1GY6lU+42aordeG0cex9JBICQkURv5OsqhOg5QM8Fek5IyjAW+p/09j/l2nbTpk1BkTmzY43QyI3oPiFdXeakUK7B+Lx1f6y0PW1fjQYaASEjt0dsgQgQgXpHAAihD6mmD6nnOuqbFyxYEAzJ4j4hIwSRau+YruvVs6HZNicfNNCaGgBC6m3t2D4RaI4IACGt2Qckve/fs2dPkA3RGmnNiHDH9BHAyNq1awOqs0Xn+mznNXbf09e6fNJFwvFx8kIDzakBIKQ5DCJHSQTqHQEgpDnP4a3Q965bty7UIxfzzWvWrEnM/UFs+8Q+Ra89EH3WzIbeUt4HDvdv/ZwMCCcFVze8Rg+11gAQUm9rx/aJQHNEAAihf6l1/1LL7WlGxJ1l1vXL9rX6Zr3Jd1JuUOh+/0RBiB6YjnXTYnOdNcsGVp/1b31fP3e/AK85QaABNFBrDQAhzWEQOUoiUO8IACH0L7XuX2q9PfXFWqxezDefPn06sb45cRBS68Zhe5xA0AAaqFQDQEi9rR3bJwLNEQEghP6j0v6D5aNrBggZQR0LQosuNGJFrJpJA0BIcxhEjpII1DsCQAh9VzP1Xc12rEAIEJLYNF2z/Zg43vR0VkBIva0d2ycCzREBICQ953X66OS1JRAChAAhaAANeBoAQprDIHKURKDeEQBCkmdcgYn0tAkQ4pkPxJ0ecdOWtGW1GgBC6m3t2D4RaI4IACH0I9X2I6xXXjtACBDCVXA0gAY8DQAhzWEQOUoiUO8IACHljSRmmxhVqwEgxDMf1QaS9fgRooH0aAAIqbe1Y/tEoDkiAISk57xOH528tgRCgBCugqMBNOBpIK0QcubUoPAgBmggmgYUk4CQ5BlXYCI9bQKEeOYDcadH3LQlbVmtBtIKIc1x7ZmjJALJiQAQQj9SbT/CeuW1A4QAIVwFRwNowNMAEJIcE8iREIE4IwCElDeSmG1iVK0GgBDPfFQbSNbjR4gG0qMBICRO28e+iUByIgCEpOe8Th+dvLYEQoAQroKjATTgaQAISY4J5EiIQJwRAEKSZ1yBifS0CRDimQ/EnR5x05a0ZbUaAELitH3smwgkJwJACP1Itf0I65XXDhAChHAVHA2gAU8DQEhyTCBHQgTijAAQUt5IYraJUbUaAEI881FtIFmPHyEaSI8GgJA4bR/7JgLJiQAQkp7zOn108toSCAFCuAqOBtCApwEgJDkmkCMhAnFGAAhJnnEFJtLTJkCIZz4Qd3rETVvSltVqAAiJ0/axbyKQnAgAIfQj1fYjrFdeO0AIEMJVcDSABjwNACHJMYEcCRGIMwJASHkjidkmRtVqAAjxzEe1gWQ9foRoID0aAELitH3smwgkJwJASHrO6/TRyWtLIAQI4So4GkADngbqDSGzZs2UmTPba/q4fPlycpwbR0IEUhIBICR5xhWYSE+bACGe+UDc6RE3bUlbVquBekPI9dd/Wq677tqaPoCQlLhevkaiIgCE0I9U24+wXnntACFACFfB0QAa8DTQCAjRTAjgkCi/ycEQgYIIACHljSRmmxhVqwEgxDMf1QaS9fgRooH0aKCREMLQrALfxxtEIDERAELSc16nj05eWwIhQAhXwdEAGvA00EgIYWhWYvwmB0IECiIAhCTPuAIT6WkTIMQzH4g7PeKmLWnLajXQaAhpb58hFy9elA8//DD0Ueozdx0d4qVQwzCvAi9Z8o3eCW3SNqZDBocqLe7vlYltGRnTcUIqXrXkEfFhUiIAhNCPVNuPsF557QAhQAhXwdEAGvA0EBeELFn8nLiPbVu3yEcffVTgx4aGhuTf3nxTVq5YFiyvMDJiCOmZIG2ZUZIZdVX+Y0yHnGza2bdOSuctbdLmfScFB/uV8iHkpHSOjQolQEiBOFP2BhBS3khitolRtRoAQjzzUW0gWY8fIRpIjwbigpDJE8fJpAk/Mo9frFxe1s6dGBiQRx6eZpbXbEltIGSMdAxeluGcgJr4jLSNGifd1rWXPbKELNA7Qa7OjDKZirxD750gt8wZBEIS0kxJPgwgJD3ndfro5LUlEAKEcBUcDaABTwNxQohmQtzsx4K+C/J/F70mf/5Yn3n81ax++d5LJ2XgrfeNd/vlhQsy9YH7zXCu+kCIiJzslFsyGZnQ7cJJkq2jHlsuAzK+W4byCKTwuPMzIYWfF3+HTEjx2KTjEyAkecYVmEhPmwAhnvlA3OkRN21JW1argTghZPHzzwY1HdM2nZOPPdYnCh63rRiQu1YNBkBy3ewDAYhs37bV1JLUG0LGdAxnD5JvMbOA0DYOCEl+WyX3CIEQ+pFq+xHWK68dIAQI4So4GkADngbihJCeno3GkWkGRAHkK0uOy9ELv8srWO/a/aZ8/Mm9MrrrcDCkqHY1If5wLBExtSIh7+cyJEENSV7tSG4Yl8lEuCYz/P0eLQ7POLUoPjyU3Je7/eHXJsORGSMdJ0pncPxMiP93dou5WpGgtkS32y0TwgrTT3bK2LbMcF1NSNF79thKfN/hr8GrGCMAhJQ3kphtYlStBoAQz3xUG0jW40eIBtKjgTghxM5sNebZ10wGxAcQOxvW5PWnDaSsOPK2sWg6hKsumRBr/sd1B8Bjdph7fzg74sOF/7d1kv77ub/zAKZXJk7oCTJCdjhY+L6Gq1fsHoafc9kQBQcFgSLDsnzo8P/W/RuoyAOj4W3nzY6VW3b4vRy8BMPCwgrfve87/AV4FXMEgJD0nNfpo5PXlkAIEMJVcDSABjwNxAUhM6b/JDDeH3u8zwzBulhk2t5jF34nuozWh6gNv3TpUo0gxJ8dK6wgfRgk8nx9jxaC24zJ8DL509f67/eYaW4ndA/lQ05gPt3lHeAwRed2X8HCoS9Odd4iV9ssSwiM+NBR7u9gJ2WBI7ekPdYTQ3JZsvBS/PsGW+dFAiIAhCTPuAIT6WkTIMQzH4g7PeKmLWnLajWQFAjRGpBiEKIZkfpAiGvse2RiJiNaV5EHG7ksSEGhevC+mm0XHlw36b+f+3uUu19neXebDoPY7EglZn4YRvKHaJWGjiw0DGc2nGPLAUXwWQ5KCo4p7307rEuPQePEvyRHAAihH6m2H2G98toBQoAQroKjATTgaSAuCNFZruxwrE8+1W9qPi5eDL+B4fJDvzLDsR7cdM4Y2boNx8rdO2S8ZiqsW8yBQVALEtRJZGscssv6sBGsnJ3y16sVyasJcYc9RdlXcGB2H6Wec8OonIxIrSGkZFxyx2r2abMz7vctdeh81vAIACHljSRmmxhVqwEgxDMf1QaS9fgRooH0aCAuCNH7hAwcP26M1vdfOmmm5J27+83QbMhN8w/L1U/ulYFfZafqrWdhes+EjLRlnGFZQXaiVMF3ZRASuEsLHbZGJNhXseFawZqRX2QzIuOleyh7/LWGkIJMSKkjy2VJTM1K/ri1UmvxWYMiAISk57xOH528tgRCgBCugqMBNOBpIE4I0fuEaDbkxFvvy/WzDxjQ0GFZtkBdMyA3dR02gKL3D7HDpOqWCVGzlwOBsMJwu/8wT2iyGxYmggWyNSDZqXODN/Nf2BoKc9NEF2YqSnnkb9P5K5uFGBcRQsIKyXMbc26GmOUHvwjd2Wmpl/b7MjyrVJRi+QwISZ5xBSbS0yZAiGc+EHd6xE1b0pbVaqDeEOK6qeuv/7S0t88wNxvUbIbe+VyLzPWfgogFDnuzQn3WDIi9gaFO4WtBYNWqF0W3Z4d0ufuJ9LrYVLxmll4vGxI2TEt6ZOItc+SkPSBTqD5Khody2fqPqyRjhiDpUfXkZsIaPkKbmQi2kzP7ZjsBh/Tm72t49dwrHXY1IQCN4GMHHOxh2v0N5jIR/t+SWyd7zLkDsBmMUVeZO7IHSYxixzp2jpw0CxXOhFWwv+BgeRF3BIAQ+pFq+xHWK68dIAQI4So4GkADngYaDSH//M93GhBRGNHHjBnTTZtYA7byyNtmFiydCWvqpnPBTQq/uvS4yYi4ILJ06ZK6QIjNhuiwoQAOciDi1kAMA0f26HXok3v/j/HdgzLnloy0BTUhucyIW1fi7sMGwYKAs1w+lNgF7XOu9sNZPnuc+UXpurQPAf7fZosOdJjtmHt/ZI89KEwPdq2zhOXPMjZ8rCHHZbYV0JXdCs8JiAAQUt5IYraJUbUaAEI881FtIFmPHyEaSI8GGg0h1113rfiPMWO+JL29vWVtWBiIlF2JBYgAEYgUASAkPed1+ujktSUQAoRwFRwNoAFPA42EkEhOqMxCtQCRNu/KvZvd8F9fvjxU5oj4mAikIwJASPKMKzCRnjYBQjzzgbjTI27akrasVgPNBiFq92oBIumwjXwLIlC7CAAh9CPV9iOsV147QAgQwlVwNIAGPA00I4So7VIQ0aJ1W3BdOyvGlohAa0YACClvJDHbxKhaDQAhnvmoNpCsx48QDaRHA80KIa1pE/nWRKB+EQBC0nNep49OXlsCIUAIV8HRABrwNACE1M/UsWUi0EwRAEKSZ1yBifS0CRDimQ/EnR5x05a0ZbUaAEKaySZyrESgfhEAQuhHqu1HWK+8doAQIISr4GgADXgaAELqZ+rYMhFopggAIeWNJGabGFWrASDEMx/VBpL1+BGigfRoAAhpJpvIsRKB+kUACEnPeZ0+OnltCYQAIVwFRwNowNMAEFI/U8eWiUAzRQAISZ5xBSbS0yZAiGc+EHd6xE1b0pbVagAIaSabyLESgfpFAAihH6m2H2G98toBQoAQroKjATTgaQAIqZ+pY8tEoJkiAISUN5KYbWJUrQaAEM98VBtI1uNHiAbSowEgpJlsIsdKBOoXgWaDkPPnz0vYg/4pPf1TmtoSCAFCuAqOBtCApwEgpH6mji0TgWaKQLNAiAUPPXedO3dOzh87Jr+eOVPe6eyU1/XvHJykycDyXZofrIAQz3wg6uYXNW1IG45UA0BIM9lEjpUI1C8CSYcQhQsLHmfPnpVzr70m77S3y4df/KJcuuEGeWf6dDl75owBE11Olx/p+ZH16WNrpQEgBAjhhIQG0ICnASCkfqaOLROBZopAUiHEhY8zZ87I2SNH5O0ZMwL4UADRx1tPPCGnTp4UXcZkSMiI0N95/V2tgKKa7QAhCWqMahqQdbgigQZqr4G0QsiZU4PCgxiggWgaUFhKGoS48GEzH2HwYSHkwmOPyfFjx+TUqVMGRMiG1L6/oA+uPqZACBDCVQE0gAY8DaQVQprpCjTHSgSSEIEkQIiChwsfNvPx1vTpBZkPCx/2+fVp0+TQwYMyMDBgQMRmQzDO1RtnYle72AEhnvlAXLUTF7Ekls2qgWIQcqB/r/AgBmigNTRw+fLl2DMhFkAUHqJkPix82OfTU6bI3r4+ee2112RwcNBsQ89vzXpu5rjT5SuAECCEkxEaQAOeBoCQ1jCZwATtXEoDcUGIBQ89Dyl8VJL5sPBhnwd//GPZsX27HDp0yGRDdFtASLqMfDODGRDimY9mbkyOnRMLGqiNBoAQzGkpc8pnraGPOCDEBZBqMh8WPuzzscmTZcvmzbJ//345duxYUKBOX1GbvoI4jiyOQAgQwlVwNIAGPA0AIa1hMoEJ2rmUBhoFIS54jDTzYeHDPh+dNEle2bRJ+vv75ejRo0CId64HIkYGESONHxCCIDGgaAANeBoAQjCnpcwpn7WGPhoBIT6A6H0+Ss12ZeEi6vORCRPk5d5e2bdvHxDinedHaqBZf+QAA4QgSgwoGkADngaAkNYwmcAE7VxKA/WCEB88RlLzUQ5GDo8fL709PUCId44HIEYOELWIIRCCMDGgaAANeBoAQjCnpcwpn7WGPuoBIS6A1KLmIwqE9HR3AyHeOb4WBpptjBxkgBCEiQFFA2jA0wAQ0homE5ignUtpoFYQ4oJHrWs+gJCRG2FgIr4YAiGe+UCM8YmR2BP7pGgACMGcljKnfNYa+qgFhLgA0ojMhw8lOhyLTAh9a1L6Vv84gBAghKvgaAANeBoAQlrDZAITtHMpDVQLIS54NDrzERVC9Bh9Q8jfwEqjNQCEeOaj0Q3A/vjRo4HkaQAIwZyWMqd81hr6qAZCXACJI/PhQ8ihcePyMiGnT582d023x8nzeUlrDJrBWwAhQAhXQ9AAGvA0AIS0hskEJmjnUhqICiHWxOp5I+7MRxiEbNywQfbs2WPumj44OCgKIjojF490xUCh13+oHvWh2tSH1WpSAAUI8cxHUhqG40je1XHapHXaBAjBnJYyp3zWGvqIAiFq6ix8JCHz4UMIf98grRqDj266ST749rflNw8+KL9atEjOnThhgMSCiD7H7WuAECAkdhHG/SNg/60DF1HbGghpDZMJTNDOpTRQDEKsibPwUc/7fLSqgeZ71x6ePvjKV+SNDRvkzOnTQXYkbhABQoAQIAQNoAFPA0AI5rSUOeWz1tBHGITYoS36bDMfb02fLh9+8Yste8UdYKg9MNQrph999rPy9syZcubUKaNf7eviBBEgxDMfUa+UshxXz9FAejUAhLSGyQQmaOdSGrAQcvDgQTl+/LicOnUqqKM4e+SIAB/NY77rZeqbcbsKIufWrJHTCQARIAQI4So4GkADngZaG0JekgdGZ6Rt1FWScR433btK9u9LuWntvF2uzozK+94ag/zvnovPjffK2n19UsrE8llz60UhZMe2LXLgwAE5evSoaFH3mcOHgY8bgI9mhA/3mH//j/8ogwcPmkkKNKOnfV4cF1aBEM98xNEI7DO9V9Rp2+Zs25aFkM7bpS3jm+69cqDzdrn5vlaBkBvl/jV9sr8/Z6DX3i83ZzKSuW229BsIqwZCOuTOtozcMWfP8Hbt9lP4/Cd/8hfyzIJFTQ2t+/f1yaVLl2T71s3S398vR/fskV8+8QTDrgCQ1Ay7O9/ZKQPHjpnsng4vjGNYFhAChMRCv5jz5jTnrdJurQkhOXN9++ymNo8jyj6YTIgHIf17Zd39o6UtU/h+5H3lQKaVIOSaaz4jixY+23RaUvjo37vHPD788EPZsWGdvP7ww3LxC19Ijfl0r4jzunWzOhfuvluOHDqUzfCdORNM4dvIfh4IAUKAEDSABjwNtCaEdMidesUfCMnPhGimIoAIJ0NSSQYjWL91MiGaRbj22v/TVCDiAsj+za/IH+bOlT/87d8CH2Q/UqmB337ta7K/r8/UO+m9Y+LIhgAhnvloJAGyL7IBaCCZGmhNCNkrc+/QWpAoV/xD6kYceDHbCa2ZCBnKZIc72fqT0PX82oLS+7cZCnMcGae25bYyWZ4imRAdjqa1IrfnhlOFf7+QY7pttnTenjFD3Nz6muzQrtzyt9thXvY7uu9na07m3dEmbRqXObdJm9asuDEKid+amGtVdDiWQoj+axYQsQCyr2+3HFi/Vt77u79LpfEk89G6mQ+/7f/w+c/L7u3b5bXXXpOTJ0+a2bIaPSQLCAFCuAqOBtCAp4FWhZAD/blsiAKBa3T9q/4FNSLZ9YIC7lxtyR1zvMxBkBHIvZ/7O1ivf9iAlyyCL7d/u52879Ahd97RUXp4UBEIyQ7Huk0692ahoABCLAgEdSMKFM7+gu/tZkKGv2u21qQMhChMme07xfAl4tcfI4i4ENIsIGIhpG/3Ttm1Y5vs3LhefvPUU/LB5z8PjJAJSaUG3vmnf5LtmzeLzv42MDBgakO072skiAAhnvngynQyr0zTLrRLIzXQuhCSNcJZ053LIOQZeWuUC5/zjfmwwXZhwmz3xvtys0qFL6NZh2rqL/L3n4WiAgjyYcr/OwxCvCyIZlny91X4t83EBM81gZBvGwgKCuYtaJlMigMmczVrc6Pcv9oDQP+71vFvH0KSDiIWQPbu2SW7d+6QbVtelU293ebq8PL586R/3Dj5/ec+l0oj6l8d5+/WyZQMfv/78urLL5uJF47lCtSBEKCAq9JoAA3ErIFWhxBrnodhJGyIVg4i7DAqL3sSZA+CK/JetiQw5p5ZLvZ+gWkutX/7WdhxFwKU/b522FXe0KmQ4Wn5EGJnvvK+h3u8wXcaQSbEh0F3m+7Uyfq+nYnLfd89njq/DoOQJIOIhRCbBdn8ysvSvWGdGaYyv2uuzJs3T+a1t8u2f/1Xee/mm4ERMiOp0MCeBx6Qnu5u2bt3r5mCOo66EDIhMZudRl7dZV9kE9BANA0AIa5Rzw3RckywMeHe/TPyjXlIMbfJcNwmnRZKciY63/AP12+UymKYfXlTCRfs32YsbE1IuXoQNeZhmZAQw563rwAG4oGQYvEz9SsJg5CkgogPIa9uelk2rl8rR44cka55ndLZ2Sk//elPpb29XdqnTZOXb79dfjd6dCqMKJmP1sl8uG391pgx8uLixdLT0wOEYIyiGSPiRJzQQGM0AIS4EGKnqM0BRBHTnWfMc8bdfc+8dorXq55xqoL9BxkOCzwOSAWfuZDRhBBipv2NCTZCY9i/V4plQhRC9F/SitWLQYgW7CqEzJ07V55++mkDIY899phMnTpVHr7nHtn4jW8AI2RFmhJGX5o6VZYvWwaEYKoaY6qIM3FGA9E1AITkQ4gBiFGlICQ3/Mk3+ba+Y859clPmRpni3gTQqWlw60aKGdvg/VAIKbJ/DzDK1ppUAyHO98gvMHdiGByzOxxLa0lys17Z7JA53jnmxoZtThF6MDtW3nK57+zXhLjfOabX5SAkaSBiIURnxjI1IVs3yysv98ipU6dk8XPPyvPPPy8LFy40w7IURmbMmCGPPvqogZGH7r4bGAFEmgpEtv/Lv8jC+fPlxRdflFdeeYWaEMxRdHNErIgVGqi/BloTQnTY1W0yN8/oZoco5d9FPTc8y8lqZCElbEatrFG+6cYbJRMUpDvmPHQWrQ65c7QtXneWDQx1dv9t/v512FUAQc7MVLn13KxMADTBNnP7qQpC7DCuUc5d1XV77jFk60aGZwFz9zc89e8BCzRaX1MWQvbKAVOEnls/yIbMceI3DGfZaXvL/R0W78rfiwIhQ0PJyohYENHidJ0dS4vT33zjDfnFimXywgsvyIoVK2Tp0qXyzDPPmOFZs2bNkieeeEKmTZsmU6ZMkamTJsmGr3+dzAhAklggufCFL8hzEyfKU7NmybPPPiurV6+WrVu3yoEDB5gdC2NVf2NFjIkxGoimgdaFkIwU1hiEFHfb4U25onQ11+Z+GAEEDBtXW9xetMYjByLufosua6Gh7P5zoFKkaL7mEGKOKwsabc4+7X1FzP4M4IzKxteZytfGx37/2+eskimjM6KQZafZDc+E5GKcAxG7vj4P14OUgw7/8+F2Kxoj2wYlnqNAiGZDLn445AzNcmb4KrHtkRxXqXUthOjd0m2B+jvvvCPr1rwk3d3dsnHjRlm3bp289NJLsnz5cmPidJiW1oo8+eST8sgjj8iDDz4oZEZas8bCrbdIyus/fPazcu5LX5LtX/2qvPCd78jjDz5ohhR2dXUZDWs9yK5du0ztE/cJoUCcGZHQABpIiAZaE0JqY0BLGT0+a40YR4UQBZE/XPwwUSBiYUQzIu+//75s6u2R7du3y44dO8zzli1bzDh6vYq8bNkyWbRoUZAZ+clPfpK4zMiGr31NJk2cKJMmTZLJkyebx9133y080h2De+65R/Rx7733mkzdww8/bGB5zpw5snjxYlmzZo3JgvT393PHdK7ORrs6S5yIExpojAZaEULMnbidq/julXX3tZo0YKI1YKLadq4EQhREfv3rdxMFIpoN0cfFixdly6ubZM+ePWbcvBq2ffv2mavHFkY0M2JhJImZkZ6vf13u+/GPjRHVTI0W1fNIbwx0eKA+HnroIZOde/zxxw18aC2TTjW9ZMkSk83TWpC+vj6TBRkcHIzlRoXqZ5iiNyFXXjGXjTGXxJk4R9FAK0JItYaT9QASXwOVQoiCyC9/+XZiQES/j8L20NCQbN+6Wfbv32/uGaI3dNOHzpql4+gVTnRMvQ5rCcuMaM2ImkGtGZk2eXIsNSObvvUteWjqVNFZvfR4pk+fbh5aXM8jfTEw00i3t4vWLOlQwdmzZ5vZ3bQGRGF57dq18uqrrxrtHj58OKgFOXfuXEPvlG77YSAECGEIEBpAA54GgBCMtW+s+Tu6JqqBEAWR11//t0SBiELIjm1bDHAcPXpU9Iqxjp3XZ4URNXGaHdFx9UnNjGy54w6ZOWNGYEYXLFhgZvrSAnse6YuBDg/Ux3PPPWeGXf385z+XlStXGkjW2ibVqWZADh06ZIZh6QxwZ8+eFe3zzp8/33AvAIR45sPSGc9cMUcDrasBICS64cScEytfA9VCyOXLl+XMmXOJARE9np3bt8rBgwfzDJuatjNnzhggGRgYMJkRzZb4mREtYLc1I0899ZTJRDQ6M7LzO9+R+blhODrD16pVq8xwHK0J4JG+GGimQx/r16+XDRs2mCydDr3atm2b7N69O8jqqW71DulxAoh6LCAECGk4+WLuW9fcN0vbAyEYa99Y83d0TVQDIWr4P/roI1OHMTAwaEBE6zLijLuFEL1qbE2bDlvR84M+K4iokbOZEb3DetIyI3133SVLFy8OroTrUBy9Gq6mlEd6Y6CTKezcudOAx969ew18aOZOM3iq1yQACBACgAAgaAANhGgACIluOOM0iew7me0UBiHvvfeBjrjK+6d3Tr/mms8UfSQNQhQ69Nyg6mPdigAAEOJJREFUw1b0oa/14WZGjh8/HmRG9MqzWzMSlhnRWYvqWTPS/4MfyKrcTenUlCokaT2LgpWaUh7pjIECsdYu6TBCBY8TJ06YzJ2FD1sDEscQLPdiJJmQEAPiBojXXLVHA62nASAkmeYW6GiOdvEhRAHkj/7oP8qq1d2i2QX779OfvkHap88yReBJbFs/E2IhxPYJLoyoqVMYqSQz0tnZKTpMq573GTn4ox/JurVrzfTCOrOXmlIFJb0aziO9MdDaJX1ozYdqUrWr+rSZvLjhw/6GgBAghCvhaAANeBoAQprD7CbRuHJMe8WFEAsgixYukra2/yaXLl2yDCJnz70hbW1/ZabDTWLcykGINVJhMKKmT02gGn69Kq01I5oZcQvYi2VGHnjggZrNpnVo3Djp3rgxmA1Jj8leDVdTyiO9MVDgsA+btbNatdqN+xkI8cxH3A3C/lvvqjttnrw2B0KAkCSa4mY5JgshLoDs37dX/vdnbpbtO/pMNsRmRPS9pGZDokKIPYdbg6fnj5FmRnSYVi3uwK4Q0tPdLVoXoMNzLIDYY+U5O7SuFeJgdZqkZyAECOEqOBpAA54GgBAgpFkMfxKPUyHkvffeN0OwnlmwSBRA9DifW/ScXHXVfzUF6DYdokXoSc2GVAoh1txZQ+vDiJsZ0doMNzOi9xnRzIjez8EO09L7eiiMaGbkobvvlo3f+Ib8bvRouXTDDZEfh8ePNxBih2JphkYBSY/RHi/PybsQ1iptAoR45qNVGp7vyUkHDRTXABAChCTR3DfLMWnB+X/49x8TF0DssWvmY9Om7Xm1IUnNhlQLIfbcWg2MuHdgtzCiNSPVZkaKQYg9Rp6L9wPEpv6xAUKAEK6GoAE04GkACAFCrGnmubZa6Nm40WRDbG3Iu+++K+vXvywf//gnE1cbMlIIsSa2FIzozEV2al83M6IwYjMjc+fONXe/rgZGgJD6G2nbzjxXHmsgxDMfiKhyEREzYpY2DQAhtTWeGHni6Wrgr//6Rtm376As+fkLctudP5Qvjfm6LF2yNNZ7grjHZ1/XCkLc86MFElsz4hawa82GP0xrpJkRhZDenh7xh2O5x8Rr+vC4NACEACFcBUcDaMDTABCCabZGlOfaa+GZhYvkb/7XaLn3xw/I4ueXBDUjSYt1PSBEzZ4FET3PWBjRgnGtGSmWGXFrRsIyIw/fc490f/ObBTUjQAiAERdgRNkvEOKZjyhBYxl+1Ggg3RooBiG2mJZnIkAEWiMCO7dvNTf20zuma9ZCzw21PP+7QKLT5fqZkbCpfZctWyaLFi0KCtjtfUamTp0qP7n/fnnljjvkvZtvNsXrRyZMkJd7e8mE4PVqqtta/QaAEISZSGHWSuBsJ92wUK/2TSuEnDk1KDyIQb01cPrUoDTzw8ZHMaveEKLnMBdE3MyI3kwwambk6aeflhkzZpgbH+rzvPZ22fvDH8qB++6TVzZtMsO89EaFdnasep072S59biUaAEKAECAEDaABTwNphZDWuHbNtyQCtYtAIyDENW0ukJTKjGzdulV6enrErRmZN2+edHR0yJw5c6Srq0uWLl0qOoxLb5CoGRUFGiAESHD1FvdrIMQzH3E3CPvnBIEG4tcAEFI7E8eWiEAzR6DREKLnfxdENDOi4KA1I35mZNeuXcEd2BU2Vq5cacBD4UMfq1atMqCyY8eOug4po8+Kv89q1jYAQoAQroKjATTgaQAIaWbbyLETgdpFIA4IcQ2lCyTlMiO9vb2yfv16Wbt2rXlopkSzIPZu6Qoxug09v7n74DUQEZcGgBDPfMTVEOyXkwAaSI4GgJDamTi2RASaOQJxQ4j2Cy6IhGVGDh8+bGo+9uzZI9u3b5dt27aJDtfSDEhfX1+QBTl16hR3S8fzJQpAgRAEmShBYsSTY8RbuS2AkGa2jRw7EahdBJIAIe652AUSNzOis3dp4bkCycGDB00NiD7rjRCPHz8uCiA6rEvPbboNd5u8pt+NSwNACBDCyQgNoAFPA0BI7UwcWyICzRyBpEGImkUXRNzMiN5n5MSJEwY6tAhd4UPhxAKILmvXjct0sl+Ax9UAEOKZDzc4vObHggZaUwNASDPbRo6dCNQuAkmEELdfslCh5yyFDJsd0ayHfdg6ELusuz6vW7OPS0q7AyFACFfB0QAa8DQAhNTOxLElItDMEUg6hKiZtHCh5y0LIwok9qHv2WWSYj45DuBHNQCEeOaDHwY/DDSABoCQZraNHDsRqF0EmgFCwvosCx3uc9hyvEd/F6cGgBAghKvgaAANeBoAQmpn4tgSEWjmCDQrhMRpLNk3YBNVA0CIZz6iBo7l+JGhgfRqIMkQMrpjtIztGivzd8+Xy3K5mf0dx04EEh8BICS953n68PjbFggBQrgKjgbQgKeBekPIC/suVG2+VhxYIVf8vyvkm89/U7oHuuXWrltl5uaZAEnVEWVFIlA8AkBI/EYVWEhvGwAhnvlA7OkVO21L20bVQL0h5E/HbZJfVAAit86/Vb674ruiADJp9SS54p4r5C8f+Uv543v+2Dy6dncBIcV9JJ8QgaojAITQb0TtN1iucq0AIUAIV8HRABrwNFBvCLnie73yn36UBZFpqwflbx7ZJX98V2/waLt7s3yr66BsHnjHmKeegR6T8bDQoc86JGta9zTpO9dXtcFiRSJABEpHAAip3FhixolZVA0AIZ75iBo4luNHhgbSq4FGQIgLHe5rhRMFkGJDtiavnixXTrlS2je3m6yIAgr/iAARqE8EgJD0nufpw+NvWyAECOEqOBpAA54G4oIQzYicuPD7km5Kh2bdOPtGWX5guYERzYookFCkXjJsfEgEqooAEBK/UQUW0tsGQIhnPhB7esVO29K2UTUQB4QogFyOMNmVzo71Z1P+LKgH0ddaH6LPE1dPbAkY6Z3QJm1jOuRklIBVZT1ZiQhkIwCE0G9E7TdYrnKtACFACFfB0QAa8DQQB4T89ynbSmZBzv36XFAXcs2Ma2TPuT1y5QNXBuAxa/MsU7BeLYj0TMhIW+YqyYwq9hgn3Qkx/UAIiNCoCAAhlRtLzDgxi6oBIMQzH1EDx3L8yNBAejUQB4RoXUgxEFEA+VT7p0ThQ2fJslkPrQ05+87ZwI99a/G3TFbk8khh4WSn3JLJyITuZA7yqg5CemVim36noUgZpyCovGjpCAAh6T3P04fH37ZACBDCVXA0gAY8DcQFIcVA5K4VdxnwUODQQnS9T4jWgvhZDy1a1+l7hy4Pjcw4phFC9DsBISPTRQuuDYTEb1SBhfS2ARDimQ/Enl6x07a0bVQN1BtC7nruiHy3xGNmz5m8e6F/4tFPmAyI5iU0K6IQotkQP+Nx18q7zNS9/vsVe0cgpOKQsUI6IwCE0G9E7TdYrnKtACFACFfB0QAa8DRQbwip1K7Z2o+zvz5r6kIUQPxZsWyGZPn+5SMvTi8BIaZ2RIvCu8dLW2aUZIIC8ZPSeUtG2tyaknHdMuQU2/fYgvLBOWa4l60/GdMxWDBEygy5cmtUzLayGyscjlVs387y7rb0GJ3tSS5LYo9Hv9Oge+CVNhjLpyYCQEjlxhIzTsyiagAI8cxH1MCxHD8yNJBeDTQSQgZ/+XtZsO28bMndmDDMvdnhWDoLlk7Pq0XpepNCfWhmxL13SE2qOMpBiBr6cd354NAzQW6Z48JEj6nBcAHDQIiuG4CLiPRMkKszo2R8UKuRAwp3GemViRN6gsxPAYT0+vvO1n+M6TgxfIw50CioCcm9r8tmueOkdI5tk7bxClAOQYU1DO+lPgJASHrP8/Th8bctEAKEcBUcDaABTwONgJCF287L1XdvDu6SrvUgeqNCHaYV5n1XHFhh6kFc17dg9wL5xCOfMEOwFExq9q8shESbKSvIfOS+UBZCxkjHoItKOegITH/5AvICCAn54naZQRvMUAjRfYcAR6+C0RjpODGUNywuZDe8lfIIACHxG1VgIb1tAIR45gOxp1fstC1tG1UDjYKQz03vC2pD9C7pCiEKI1NXD0Yyv5oF0WxIzf+Vg5C8LIW795BhUc6yPpTYNfPft9vwYcUuLWIBI/8+ITmgcIeD6bCqUhASCiYiOjxrLEXswwFv4VdACP1G1H6D5SrXChAChHAVHA2gAU8DjYCQMF+n2ZErvtcrCifWO/vL2fuBaE1IsUc9Z8cKakK8A7T3GSkYflUxhGS/sQENW8fh1m9IIYTYZd3hVxZUokBIUAviAsyoq5whYn4r8HerRAAIqdxYYsaJWVQNACGe+YgaOJbjR4YG0quBuCBEjZ1CSLm7p5cDkYZDSJA5yR++lJ/h0PKP8DudF3vfGN3ctt06EgsYJhPi7tsp4bDLRIGQgjqRVnHYfM+yEQBC0nuepw+Pv22BECCEq+BoAA14GmgEhGgh+uen9+XVhOjNCnU4VjkIUedUCkSSASG5YVVVZkLy3KGt0cjVkljAKA4huaFZ5YZjSW65oB4lb6/8QQQECInfqAIL6W0DIMQzH4g9vWKnbWnbqBqoN4QogPzpuGz9x9//rF/0viA6Q9ak5cfliogQov5Q75AeNiSr4RAiPTIxk5E2Z0pek93wZsIqlvHIfz9/Jiz9nnnQUfB3tpA9u29vSl4XQnSGrbaMuEO2jMc2gOPOzmX2KBPHzpGTTNNrQtTK/wEh9BtR+w2Wq1wrQAgQwlVwNIAGPA3UG0K+PLvfZDzmbztfUIAeZTiWmkKdLevKKVcmBEKyxdy3ZDJi6yu0NqR7fEbaKs6E5KDCrc9wtmEQwR/WZYds5dZR0Ogenx36FQzHyq5opgM2x+jWmeRAxB67Pg9PGdzKFpzvDoRUbiwx48QsqgaAEM98RA0cy/EjQwPp1UC9IeQzj+4yEOLVdhvHVw5C7H1BrrjnilAA0czIiDMheE8iQARMBICQ9J7n6cPjb1sgBAjhKjgaQAOeBhoFIb/YeyHP6r2w70LRwnSdivfWrltDwUNvYji2a2zwWTNDyNVtw9kUNzNhXw8NDeXFjD+IQD0jAITEb1SBhfS2ARDimQ/Enl6x07a0bVQN1BtC7nruiMmE6H1B9P4geoNCLUa39wkpVpiuWZCZm2fKpNWTgocOy7L/tEZEMyTNDCH2u/BMBJIQASCEfiNqv8FylWsFCAFCuAqOBtCAp4F6Q4iaKwWRttwd0/VZC9Q3D7wjX/5Zf8n7hJQzZgoil8PGeZVbkc+JABEoiAAQUrmxxIwTs6gaAEI88xE1cCzHjwwNpFcDjYCQArfDG0SACCQuAkBIes/z9OHxty0QAoRwFRwNoAFPA0BI4rwgB0QEYokAEBK/UQUW0tsGQIhnPhB7esVO29K2UTUAhMTi99gpEUhcBIAQ+o2o/QbLVa4VIAQI4So4GkADngaAkMR5QQ6ICMQSASCkcmOJGSdmUTUAhHjmI2rgWI4fGRpIrwaAkFj8HjslAomLABCS3vM8fXj8bQuEACFcBUcDaMDTABCSOC/IARGBWCIAhMRvVIGF9LYBEOKZD8SeXrHTtrRtVA0AIbH4PXZKBBIXASCEfiNqv8FylWsFCAFCuAqOBtCApwEgJHFekAMiArFEAAip3FhixolZVA0AIZ75iBo4luNHhgbSqwEgJBa/x06JQOIiAISk9zxPHx5/2wIhQAhXwdEAGvA0AIQkzgtyQEQglggAIfEbVWAhvW0AhHjmA7GnV+y0LW0bVQNASCx+j50SgcRFAAih34jab7Bc5VoBQoAQroKjATTgaQAISZwX5ICIQCwRAEIqN5aYcWIWVQP/H+i/TfhjDbQmAAAAAElFTkSuQmCC" width="513" /></div><div><br /></div><div>Save this image as an "EMF" type. </div><div><img alt="" height="366" 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" width="599" /></div><div><br /></div><div>Insert the EMF file into your GoldSim dashboard. You should see the graphic is exactly the same size as your dashboard. Now you are ready to build the navigation graphics. </div><div><br /></div><div><img alt="" height="283" src="data:image/png;base64,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" width="599" /></div><div><br /></div><div>Below is a screen capture showing the inserted graphic placed inside the dashboard. It fits exactly within the extent of the dashboard. </div><div><img alt="" height="369" src="data:image/png;base64,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" width="562" /></div><div><br /></div><h2 style="text-align: left;">Step 3: Create the Navigation Artwork in Power Point</h2><div>With the slides set up to be the exact same size as your dashboard dimensions (with the scaling factor applied), you can easily draw the tabs with main area rectangle below them. Create one slide for each tab. In my case, I have 4 tabs, each with a different color. I matched the border of the main window to match the color of the tab so it is easier to know what tab you have navigated to.</div><div><img alt="" height="382" 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" width="662" /></div><div><br /></div><div><div>Save the graphics of each slide to their own EMF files. In my example, I will give these 4 tabs the following names:</div><div><ul style="text-align: left;"><li>Home</li><li>Inputs</li><li>System</li><li>Results</li></ul></div><div>Save each with a similar name and as an EMF file type.</div></div><div><br /></div><h2 style="text-align: left;">Step 4: Build the GoldSim Dashboards</h2><div><div>Now that the artwork is complete, we just need to import the graphics and then start adding dashboard controls to complete the user interface.</div><div><br /></div><div>In GoldSim, create 1 dashboard element for each tab and name them according to their specific tab. Make sure the dimensions used in each Dashboard are the same as what you found in Step 1.</div></div><div><img alt="" height="216" src="data:image/png;base64,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" width="740" /></div><div><br /></div><div>Open each dashboard and load the background EMF file as you did in Step 2.</div><div><img alt="" height="461" src="data:image/png;base64,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" width="710" /></div><div><br /></div><div>Add a navigation button control to the first tab with a command to "Show Dashboard" then connect it to the corresponding dashboard you want to navigate to. Don't forget to add a tool tip.</div><div><br /></div><div><img alt="" height="461" 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" width="710" /></div><div><br /></div><div>Change the style to flat and transparent with a "hover color" that matches the tab color. The example shown below uses a "hover color" that matches the Home tab.</div><div><br /></div><div><img alt="" src="data:image/png;base64,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" /></div><div><br /></div><div>The result is a tab that looks the same until you hover over it with the mouse. </div><div><br /></div><div><img alt="" height="190" src="data:image/png;base64,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" width="697" /></div><div><br /></div><div>Complete this process for 1 dashboard. Select all the buttons and use the alignment tools to make them horizontally aligned and evenly spaced.</div><div><img alt="" height="155" src="data:image/png;base64,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" width="722" /></div><div><br /></div><div><br /></div><div><img alt="" height="148" 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" width="766" /></div><div><br /></div><div><div>Copy and paste the buttons you just finished for 1 dashboard then paste them into <b>all the dashboards</b>. </div><div><br /></div><div>Now you should have a complete set of navigation tabs that appears to seamlessly go between each tab as you click them. Below is a short video showing how this can work.</div></div><div><br /></div><h2 style="text-align: left;">Download Example Files:</h2><div><br /></div><div>Download a copy of the model and power point presentation file used for this blog post <a href="https://support.goldsim.com/hc/en-us/articles/217910908" target="_blank">here</a>.</div><div><br /></div>GoldSimhttp://www.blogger.com/profile/18105288640248926754noreply@blogger.com0tag:blogger.com,1999:blog-8601426913066236591.post-86775289080700399512020-07-02T14:31:00.018-07:002020-07-29T07:51:03.466-07:00GoldSim Contaminant Transport Module Online Course, Excerpt #1: Course Outline<address class="author">
Posted by <a href="https://blog.goldsim.com/p/blog-contributors.html#Rick">Rick Kossik</a></address>
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As many of you may know, several years ago, we posted our <a href="https://goldsimcourses.appspot.com/basic_goldsim/course" target="_blank">free online GoldSim Course</a>. This Course has been tremendously popular, with almost 900 registered users (and an uncounted number of users who took the Course without registering - registration is optional). The Course, however, only covers the basic GoldSim framework, and does not discuss any of the specialized modules. Many people have expressed interest in a Course on the Contaminant Transport (CT) Module, but we have never had the time to put one together. Creating effective online Courses is tremendously time-consuming: the basic Course took at almost a man-year to complete.<br />
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However, one advantage of the pandemic we are living through is that it actually provides an opportunity to work on some of the things we have not had time for. In my case, it has provided an opportunity for me to spend some time on the CT Course. This will be a long-term project (I'm hoping to finish by the end of the year). But in order to provide some useful material for users in the meantime, I plan to post excerpts from time to time as I slowly progress through the development of the Course. A blog is not the best venue for presenting the entire Course (even in parts), but I think it will be possible to provide a number of short excerpts that could be of value.<br />
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So far, I have developed a very detailed outline and have completed the first 3 Units (out of 15). In the first excerpt, I simply provide the outline describing how the Course will be organized. Note, of course, that things may change slightly as the Course continues to unfold! Hopefully, this will get you excited about what is to come.<br />
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Course Outline</h2>
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Unit 1: Introduction</h4>
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Unit 2: Using Arrays in GoldSim</h4>
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<span style="font-weight: normal;">This Unit is actually not specific to the Contaminant Transport Module. It is a feature of the basic GoldSim framework. However, even if you are familiar with the basic GoldSim framework, it is possible that you are not familiar with this feature (e.g., the feature is not discussed in any detail in the Basic Course). However, the Contaminant Transport Module utilizes this feature extensively, and therefore it is discussed here as a good understanding of the feature is required in order to use the Contaminant Transport Module.</span><br />
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Unit 3: Introduction to the Contaminant Transport Module</h4>
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<br /><span style="font-weight: normal;"> Unit 3 provides an overview of the overall philosophy and approach to environmental modeling embodied in the software. This Unit provides the fundamental underpinnings for the remaining Units.</span><br />
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<span style="font-weight: normal;"> The next seven Units then describe the basic components of the Contaminant Transport Module in detail using a series of simple Examples and Exercises:</span></h4>
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<br />Unit 4: Exploring and Running a Simple Contaminant Transport Model<br />Unit 5: Building a Simple Model of a Well-Mixed Environmental Compartment<br />Unit 6- Modeling Advective Transport Between Environmental Compartments<br />Unit 7: Modeling Complex Transport Processes in Environmental Compartments<br />Unit 8: Modeling Spatially Continuous Processes: Diffusive Transport<br />Unit 9: Modeling Spatially Continuous Processes: Advective/Dispersive Transport<br />Unit 10: Quantifying Impacts on the Environment and Human Receptors</h4>
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<br /><span style="font-weight: normal;"> Two Units then build on the previous Units by showing how the simple components described previously can be combined and linked together to represent complex systems:</span><br />
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Unit 11: Pulling it All Together - Building Complex Contaminant Transport Models (Part I)<br />Unit 12: Pulling it All Together - Building Complex Contaminant Transport Models (Part II)</h4>
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<span style="font-weight: normal;"> The next two Units discuss the features specific to the RT Module (e.g., chain decay and the Source element), and provide some guidance on how to deal with the large degree uncertainty inherent in all contaminant transport models.</span></h4><div><span style="font-weight: normal;"><br /></span></div><div><h4>Unit 13: Using Features of the Radionuclide Contaminant Transport Module<br />Unit 14: Dealing with Uncertainty in Contaminant Transport Models</h4></div><div></div><h4><span style="font-weight: normal;"><br /></span></h4><h4><span style="font-weight: normal;">The final Unit discusses a number of advanced features and provides some suggestions for becoming more proficient with the Contaminant Transport Module.</span><br />
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Unit 15: Advanced Contaminant Transport Features<br /><br /><span style="font-weight: normal;">A typical Unit will typically take from 1 hour to as long as 2 hours or more to complete, depending on your experience, how methodical and carefully you tend to work, and the material being covered (some of the Units are much more complex than others).</span><br />
<br /><span style="font-weight: normal;">Each Unit is divided into a number of “Lessons”. Within the Lessons, we will sometimes refer to an “Example” model that you will be instructed to open and look at. In other Lessons, you will be assigned an “Exercise” – a simple model that you will build in order to learn a particular concept. The completed Exercises are available to you to download, but of course you will learn much more by first attempting each Exercise yourself.</span><br />
<br /><span style="font-weight: normal;">Each Unit concludes with a summary of the key concepts and features that were covered.</span><br />
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GoldSimhttp://www.blogger.com/profile/18105288640248926754noreply@blogger.com0Seattle, WA, USA47.6062095 -122.332070819.295975663821153 -157.4883208 75.916443336178844 -87.1758208tag:blogger.com,1999:blog-8601426913066236591.post-89159287926627752932020-02-28T09:15:00.005-08:002020-08-16T14:33:28.747-07:00Combining a Weather Forecast with a Stochastic Weather Generator<div style="font-variant-east-asian: normal; font-variant-numeric: normal; margin: 0px;">
<span style="font-family: inherit;"><span data-darkreader-inline-color="" style="color: black; display: inline; float: none; font-size: 16px;"><i>Posted by </i></span><a href="http://goldsimtech.blogspot.com/p/blog-contributors.html#Jason" style="font-variant-east-asian: normal; font-variant-numeric: normal;"><span data-darkreader-inline-color="" style="--darkreader-inline-color: #ffffef; color: black;"><b>Jason Lillywhite</b></span></a></span><br />
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A couple of years ago, I <a href="https://blog.goldsim.com/2017/12/applying-goldsim-wgen-model-to-generate.html" target="_blank">blogged about</a> the application of the GoldSim WGEN model for producing probabilistic time histories of precipitation and temperature data. WGEN is useful for modeling natural systems impacted by uncertain climate influences. This model can also be used for simulating future scenarios and forecasting.<br />
<div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi2tZ0hT5TRb56AUt7CMuHMgFGKBSvxPNbJXqpKrJ0U1c_jYTO4k8VvCkyrFN7DtxqmMLelj0qaNwg2l_aRyNS9_XTATBfF2GuPjo8DMe6U1BpgdU_uo4VIRKry2T0bmOQHj6hYRu1tB3gL/s971/2020-08-15_10-01-53.jpg" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="606" data-original-width="971" height="255" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi2tZ0hT5TRb56AUt7CMuHMgFGKBSvxPNbJXqpKrJ0U1c_jYTO4k8VvCkyrFN7DtxqmMLelj0qaNwg2l_aRyNS9_XTATBfF2GuPjo8DMe6U1BpgdU_uo4VIRKry2T0bmOQHj6hYRu1tB3gL/w410-h255/2020-08-15_10-01-53.jpg" width="410" /></a></div><br />Even though the results of a WGEN model are probabilistic and uncertain, they are based on historical observed records and tied to the latitude of the earth. This allows us to produce realistic future simulations. But if you plan to use WGEN for short-term forecasting (less than 6 months), it might be helpful to incorporate a weather forecast for the first part of the simulation. Read more to see how a web service forecast model is combined with WGEN to produce a more reasonable forecast for a specific location without having to manually download the forecast.</div>
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To develop this model, you will need to combine 2 existing models from our library:<br />
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<li><a href="https://support.goldsim.com/hc/en-us/articles/115012797188-WGEN-Weather-Simulator" target="_blank">WGEN Weather Simulator</a></li>
<li><a href="https://goldsim.zendesk.com/hc/en-us/articles/360043803573" target="_blank">Weather Forecast from Web Services</a></li>
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The WGEN GoldSim model is a daily time step model that can be run for long-term simulations. The GoldSim implementation is currently built and tested for 1-day time steps. Because of this, the forecast model was also set up for daily time steps. If you need to use something different, you will need to further modify the above models.<br />
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The forecast model provides daily min/max temperatures along with the chance of rain for 7 days. In addition to this, it provides the forecasted rain amount for 3 days. The temperature forecast is applied to stochastic elements that use the mean absolute error (MAE) values published by the National Weather Service to define a triangular probability distribution where the most likely value is the forecast then the min and max are the forecast +/- the MAE. Below is a screen capture of the forecast model by itself:<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiuBJsReUfr01F3e-iLD10Y2B9mpp81nCYRGaQ0cS5LbRwsQZ8bQ6vQphUwRb-HSLr6q41Y_h9wiD7AMkjNlcs8sWS2pfW3lxK0hnzmU_q0KK2aKXj7etCRyOgCSQ8olwkXGY6xsW7Z5zht/s1600/2020-02-28_8-57-00.jpg" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="1391" data-original-width="1211" height="640" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiuBJsReUfr01F3e-iLD10Y2B9mpp81nCYRGaQ0cS5LbRwsQZ8bQ6vQphUwRb-HSLr6q41Y_h9wiD7AMkjNlcs8sWS2pfW3lxK0hnzmU_q0KK2aKXj7etCRyOgCSQ8olwkXGY6xsW7Z5zht/s640/2020-02-28_8-57-00.jpg" width="555" /></a></div>
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The next step is to combine WGEN and the forecast model into a single model that transitions from the forecast to fully probabilistic weather simulation after the first 7 days. Here is a screen capture showing a new model with the 2 above models pasted in.</div>
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh8Rnw12JDTWBAm0E89h0qF96VmlYayhyphenhyphenIvrttxZ_t7FfVyGkfetQ9KRUacFOSBAyh-t4xpsffo2kb17LHc2ryJPJC1-KJ_sHo00CJfZSIhMmy2bhE5tf8RZg6ZFhvoKCCLky8Ru-qETaOU/s1600/2020-02-24_15-52-31.jpg" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="851" data-original-width="1344" height="403" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh8Rnw12JDTWBAm0E89h0qF96VmlYayhyphenhyphenIvrttxZ_t7FfVyGkfetQ9KRUacFOSBAyh-t4xpsffo2kb17LHc2ryJPJC1-KJ_sHo00CJfZSIhMmy2bhE5tf8RZg6ZFhvoKCCLky8Ru-qETaOU/s640/2020-02-24_15-52-31.jpg" width="640" /></a></div>
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You can connect these 2 models by applying conditions on the results that switches from the forecast result after it is complete then switch over to the WGEN results. An example Selector is shown below that provides this type of switch for the rain generator input, probability of rain ("Prob_Wet"), that switches from the NDFD forecast rain probability (from NWS Web Services) then immediately switches over to the WGEN output.</div>
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh-U5kLbWVj7ZjOPxR6MbVPOzAFouX679vumSeKwWsTFF1TmlaRgk6jUMUZEuR0HUYNP7hGc5WGZ63_2X2_keCgwJcSOOKA13NfNnidjdFJdz0Vv1ORMRXB36q_QsQ-t2MYSDr1JF2l2qvE/s1600/2020-02-24_15-55-46.jpg" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="386" data-original-width="872" height="282" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh-U5kLbWVj7ZjOPxR6MbVPOzAFouX679vumSeKwWsTFF1TmlaRgk6jUMUZEuR0HUYNP7hGc5WGZ63_2X2_keCgwJcSOOKA13NfNnidjdFJdz0Vv1ORMRXB36q_QsQ-t2MYSDr1JF2l2qvE/s640/2020-02-24_15-55-46.jpg" width="640" /></a></div>
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This will prove to be quite an abrupt jump for some simulations as you transition from the forecast to the probabilistic weather generator. </div><div><br /></div><h4 style="text-align: left;">Update (15 August, 2020):</h4><div>I implemented a transition period in the model that provides a linear transition from the last forecast value to the WGEN output over a specified transition duration. The image below shows the result of this transition for a single realization. On the last day of the forecast, there is 100% weight factor on the forecast and 0% weight on WGEN. At the end of the transition period, it is the opposite: 0% factor on the last forecast value and 100% applied to the WGEN output. Through the transition period, it changes linearly over time.</div><div><br /></div><div>Below is a screen capture of a plot for just 1 realization so you can see how the transition occurs during the time from the last forecast value until it merges to the WGEN output. </div><div><img alt="" height="456" src="data:image/png;base64,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" width="650" /></div><div><br /></div><div>You can adjust the duration of the transition period using a slider on the dashboard.</div><div><img alt="" height="403" src="data:image/png;base64,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" width="622" /></div><div><br /></div><div>The result of this is a more gradual transition from a published forecast to a stochastic output. In my case, I added containers with the word "transition" to hold the functions that output the values as the simulation time transitions from the forecast period into the future stochastic period. </div>
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The result is a model that starts with a deterministic output from the weather forecast then transitions to probabilistic as demonstrated in the dashboard of this model, shown below. This type of simulation is more accurate for short-term forecasts than using WGEN alone because it's taking into consideration actual forecasts.<br />
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" 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GoldSimhttp://www.blogger.com/profile/18105288640248926754noreply@blogger.com0tag:blogger.com,1999:blog-8601426913066236591.post-78122088543796504952020-01-24T10:51:00.001-08:002020-01-24T10:52:22.767-08:00Recommendations for Creating a GoldSim Style Guide<div style="font-variant-east-asian: normal; font-variant-numeric: normal; margin: 0px;">
<span style="font-family: inherit;"><span data-darkreader-inline-color="" style="color: black; display: inline; float: none; font-size: 16px;"><i>Posted by </i></span><a href="http://goldsimtech.blogspot.com/p/blog-contributors.html#Jason" style="font-variant-east-asian: normal; font-variant-numeric: normal;"><span data-darkreader-inline-color="" style="--darkreader-inline-color: #ffffef; color: black;"><b>Jason Lillywhite</b></span></a></span><br />
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If you are interested in developing a style guide for your modeling team or organization, have a look at our new document called "Recommendations for Creating a GoldSim Style Guide." This guide is intended to help our users develop a consistent set of conventions, organization, and documentation of a GoldSim model.<br />
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This guide provides ideas and recommendations for consistent conventions, organization and documentation of a GoldSim model. This guide can be used to assist with writing your own style guide or set of standards for building GoldSim models within an organization. While consistency with a style guide is important, consistency within your project is more important. Keep in mind that sometimes these recommendations may not be applicable. Use your best judgment when applying a consistent style to the organization and documentation of your model.<br />
<br />
The intended outcome of using a style guide is to have a model that is readable. If you use styles that are different from ideas and options provided in this guide, that is fine so long as it produces the same result: a model that is easy to read by others.<br />
<br />
This guide is organized into sections that describe various concepts that make up a model. Your model should be a document that can be read by others in an organized way, like you are telling a story about the system being modeled and provide clear steps on how to use it. It’s important to consider your audience throughout the process of building and documenting your model. Typically, those readers with little modeling experience will only view the interface but other modelers on your team with more experience will need to understand the functionality. A clearly documented and well-organized model with consistent styles will provide your readers with the ability to understand what the intended functionality is.<br />
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Click here to read the full document: <a href="https://support.goldsim.com/hc/en-us/articles/360041430194-Introduction">https://support.goldsim.com/hc/en-us/articles/360041430194-Introduction</a></div>
GoldSimhttp://www.blogger.com/profile/18105288640248926754noreply@blogger.com0tag:blogger.com,1999:blog-8601426913066236591.post-26125265515472177902019-11-07T08:12:00.001-08:002019-11-18T08:31:17.349-08:00Implications and Context for Effects of Climate Change on Urban Water Demands in the Mountain-West<div style="font-variant-east-asian: normal; font-variant-numeric: normal; margin: 0px;">
<span style="font-family: inherit;"><span data-darkreader-inline-color="" style="color: black; display: inline; float: none; font-size: 16px;"><i>Posted by </i></span><a href="http://goldsimtech.blogspot.com/p/blog-contributors.html#Jason" style="font-variant-east-asian: normal; font-variant-numeric: normal;"><span data-darkreader-inline-color="" style="--darkreader-inline-color: #ffffef; color: black;"><b>Jason Lillywhite</b></span></a></span><br />
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<a href="https://www.cahhansen.com/" target="_blank">Carly Hansen</a> with Oakridge National Laboratory developed a modeling framework that incorporates multiple drivers of change, uncertainty, and system complexities allowing the user be to address water availability, management, and planning challenges. There are various drivers of change in future residential water use, some of which have clear compounding effects. Strategic planning (e.g. where to focus time and financial resources) requires an understanding of the relative contribution of each of these drivers. Exploring water use through a probabilistic GoldSim model helps address uncertainties inherent with human behavior and multiple scenarios allow for exploration of different drivers of change.<br />
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<h2>
Background</h2>
Residents in the mountain-west region of the US consistently rank at the top of water users (measured<br />
by per capita residential use)[1]. Major population centers in the Utah Lake and Jordan River Basins<br />
are no exception, and the majority of residential water use goes towards outdoor watering [2]. For<br />
comparison, the national average of outdoor residential water use is about 30% of total use [3].<br />
Urban water demands and availability are subject to changes in:<br />
<br />
<ul>
<li>Climate conditions</li>
<li>Growth and development patterns</li>
<li>Behavior, perception, and public understanding of water-related issues</li>
</ul>
<br />
Systems models that incorporate multiple drivers of change, uncertainty, and system complexities can<br />
be used to address water availability, management, and planning challenges.<br />
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<h2>
Research Objectives and Questions</h2>
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<ul>
<li>There is uncertainty in potential future climate conditions. <b>How does urban outdoor water use compare between the range of past and future projected conditions, including during extreme </b><b>periods of drought?</b></li>
<li>Utah is expecting large population growth over the coming decades. <b>How are those changes compounded by population growth/development?</b></li>
<li>Changing an individual’s water use behavior can be difficult. <b>How much does conservation mitigate changes in demands under various scenarios of potential future climate conditions and growth/development?</b></li>
</ul>
</div>
<h2>
Modeling Workflow and Results</h2>
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A 10-year moving average of the Standardized Precipitation-Evapotranspiration Index (SPEI) [4] was used to forecast climate conditions. The data extends from 1950-2099 based on CCSM4 MACA Downscaled Climate Data [5-6] for Utah Lake (Provo) and Jordan River (SLC) Basins. Over the next 80 years, there is a significant drop in SPEI which reflects generally hotter/drier conditions (refer to Figure 1).<br />
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<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi6jti_Y1xgRT3MHvXpEdbBJa1xjOsB5Vj6ZLyvOP5IW60N5kTQA5xByuYNF8EcXpI0qXoJcMYn-5mpvyCiOwcu3PsYOc_-sdsk1qM3wWe0pdRplcCdUAUHnn9JG43V3hzXL1oBav2nwX-P/s1600/Figure1__.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" data-original-height="500" data-original-width="1000" height="320" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi6jti_Y1xgRT3MHvXpEdbBJa1xjOsB5Vj6ZLyvOP5IW60N5kTQA5xByuYNF8EcXpI0qXoJcMYn-5mpvyCiOwcu3PsYOc_-sdsk1qM3wWe0pdRplcCdUAUHnn9JG43V3hzXL1oBav2nwX-P/s640/Figure1__.png" width="640" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Figure 1 - 10-yr moving average SPEI</td></tr>
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Urban land use change was incorporated in the model assuming “Business as Usual” development practices. Future development was simulated using a Real Estate Market Model (REMM) [7], and outputs were post-processed by researchers in the University of Utah Department of City and Metropolitan Planning (refer to Figure 2).<br />
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<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgOCBluvnFZyPKmNUJA-b8849-j1Ns7v0WVrtCrdcuLYill1yjJ8KoZ8YYki2FiE34hyJOwCVezldmpfJfM9swTepT2Sv4DyS55wG7JTETRaitcxUdjUQfKRYRGiVTvR5M2pgObCXojDd3E/s1600/Figure2.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" data-original-height="1086" data-original-width="1600" height="433" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgOCBluvnFZyPKmNUJA-b8849-j1Ns7v0WVrtCrdcuLYill1yjJ8KoZ8YYki2FiE34hyJOwCVezldmpfJfM9swTepT2Sv4DyS55wG7JTETRaitcxUdjUQfKRYRGiVTvR5M2pgObCXojDd3E/s640/Figure2.png" width="640" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Figure 2 - Land use Change 2005-2040</td></tr>
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<br />
A GoldSim model of the Utah Lake and Jordan River basins was used to represent water deliveries from water supply sources to users (residents, institutions, irrigation), and then their various endpoints (wastewater treatment plants and receiving waters). This modeling platform incorporates inherent uncertainties through Monte Carlo simulations (e.g. allowing variability in daily per capita water use) and is useful for representing complex interactions and feedback between subsystems. A screen capture of part of the GoldSim model is shown in Figure 3.<br />
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<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjCDQjO819qTvfmIw1NHxh8VxB1on40CuIscPLJmHk344hKdwoJEL4u9J246Ct8IFQIaQghKH5VTIMLxFgt0DIncTWSKApXrjHQHUX-cQA0Bao8BO9c2nJDAKE1sbCeyXlZiV1y0k-uvIHw/s1600/Figure3.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" data-original-height="1064" data-original-width="1600" height="424" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjCDQjO819qTvfmIw1NHxh8VxB1on40CuIscPLJmHk344hKdwoJEL4u9J246Ct8IFQIaQghKH5VTIMLxFgt0DIncTWSKApXrjHQHUX-cQA0Bao8BO9c2nJDAKE1sbCeyXlZiV1y0k-uvIHw/s640/Figure3.png" width="640" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Figure 3 - System Model</td></tr>
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Twenty-four scenarios are used to explore different “levers” of change as shown in Figure 4. *Some parameters that are influenced in these scenarios are not explored within the scope of this study, but are expected to play major roles in planning and management of water resources in the broader system.<br />
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<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjzdEp_qjow4tGROHWraIs180Gtnpfj8qNkRdGqwAIaA34Y1MD3ieGGqIyWvGbiRh5O4oOLz8GDi0YKw9A3ZUNxxaYOOKdURkWxHAw4rD-mEDS52rc4rQqVW-eA00pKSuJxNQeVQer-JnwV/s1600/Figure4.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" data-original-height="1272" data-original-width="1470" height="552" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjzdEp_qjow4tGROHWraIs180Gtnpfj8qNkRdGqwAIaA34Y1MD3ieGGqIyWvGbiRh5O4oOLz8GDi0YKw9A3ZUNxxaYOOKdURkWxHAw4rD-mEDS52rc4rQqVW-eA00pKSuJxNQeVQer-JnwV/s640/Figure4.png" width="640" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Figure 4 - Scenarios</td></tr>
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A comparison of annual water use under various scenarios highlights compounding effects and provides context for these changes (see Figure 5). For example, Business as Usual (BAU) growth/development leads to a nearly 100% increase during the period of the most extreme projected drought (compared to historical population and climate). However, if conservation targets of 25% residential reduction are met, the increase in total use would be about (45%), even in the same extreme climate conditions and same BAU growth patterns.<br />
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<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi6RwZNCDXCm4-2N1Xxxx6PHUOQLdw6KaANLnIXsVkbYIIbzpZbTPGwo3BHis34AUlIZcuBiTPqDlofi87iyIZ1Vwr9nkl2hPFx-4gvl4VkMHToAtgIodjXhzOoUi4RIpxA9zLaJzoWeVQx/s1600/Figure+1.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" data-original-height="600" data-original-width="1000" height="384" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi6RwZNCDXCm4-2N1Xxxx6PHUOQLdw6KaANLnIXsVkbYIIbzpZbTPGwo3BHis34AUlIZcuBiTPqDlofi87iyIZ1Vwr9nkl2hPFx-4gvl4VkMHToAtgIodjXhzOoUi4RIpxA9zLaJzoWeVQx/s640/Figure+1.png" width="640" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Figure 5 - Annual Residential Water Use</td></tr>
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<h2>
Key Findings</h2>
<i>Strategic development, conservation, and planning are essential for dealing with changing residential outdoor water use and urban water systems.</i><br />
<ul>
<li>There are various drivers of change in future residential water use, some of which have clear compounding effects. Strategic planning (e.g. where to focus time and financial resources) requires an understanding of the relative contribution of each of these drivers.</li>
<li>Exploring water use through a probabilistic model helps address uncertainties inherent with human behavior and multiple scenarios allow for exploration of different drivers of change.</li>
</ul>
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<h2>
Future Research Opportunities</h2>
Residential outdoor water use is only one part of a complex water system. Changes in this part of the system need to be linked to other parts of the system (including surface and groundwater sources, and downstream receiving waters). In this particular system, there are several multi-purpose reservoirs, and any changes in demands will have cascading effects outside of residential water use sector (e.g. energy generation, flood control operations). There are also many opportunities to explore mechanisms of change (e.g. lawn irrigation technologies). Additionally, the modeling framework and many of the data sources presented here are widely applicable and available for other urban water systems in the western United States.<br />
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<h2>
Acknowledgements</h2>
This article was developed under assistance agreement number 835866-01 awarded by the US Environmental Protection Agency to Dr. Michael Barber. It has not been formally reviewed by EPA. The views expressed in this document are solely those of the authors and do not necessarily reflect those of the agency. EPA does not endorse any products or commercial services mentioned in this publication. Special thanks to Debolina Banerjee from the Department of City and Metropolitan Planning at the University of Utah for processing REMM model data.<br />
<br />
<b>Contributors:</b><br />
Carly Hansen, PhD (with Oak Ridge National Laboratory – Environmental Sciences Division, hansench@ornl.gov)<br />
Steve Burian, PhD (with University of Utah – Civil and Environmental Engineering and the <a href="https://water.utah.edu/" target="_blank">U Water Center</a>)<br />
<br />
This model was presented at the <a href="https://www.awra.org/Members/Events_and_Networking/Events/2019_Annual_Water_Resources_Conference.aspx" target="_blank">2019 American Water Resources Association Conference </a>in November 2019 as part of the poster showcase. To view the entire poster presentation, click <a href="https://www.linkedin.com/posts/lillywhite_effects-of-climate-change-on-urban-water-activity-6597483308756664320-yrtO" target="_blank">here</a>.<br />
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<h2>
References</h2>
<div>
<div>
[1] Estimated Use of Water in the United States in 2010. USGS Circular 1405, 2014.</div>
<div>
[2] State of Utah Municipal and Industrial Water Supply and Use Study Summary 2010. Utah Division of Water Resources. 2014.</div>
<div>
[3] <a href="https://www.epa.gov/watersense/how-we-use-water" target="_blank">How we Use Water</a>. EPA. </div>
<div>
[4] Vicente-Serrano S.M., Santiago Beguería, Juan I. López-Moreno. “A Multi-scalar drought index sensitive to global warming: The Standardized Precipitation Evapotranspiration Index – SPEI”. Journal of Climate. 2010 23: 1696-1718.</div>
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[5] Abatzoglou J.T. and Brown T.J. "A comparison of statistical downscaling methods suited for wildfire applications " International Journal of Climatology. 2012.</div>
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[6] Taylor, K.E., R.J. Stouffer, G.A. Meehl: An Overview of CMIP5 and the experiment design. MS-D-11-00094.1, 2012.</div>
<div>
[7] <a href="https://www.goldsim.com/" target="_blank">GoldSim Technology Group</a></div>
<div>
[8] Development and land use data provided by Wasatch Front Regional Council, based on REMM model for the urban areas of Salt Lake and Utah Counties. Related public data are available <a href="https://data.wfrc.org/" target="_blank">here</a>.</div>
<div>
[9] 25% reduction in residential use is based on goals established by the Utah Division of Water Resources in 2001. See <a href="https://water.utah.gov/wp-content/uploads/2019/01/MIConservation_Revision_2012.pdf" target="_blank">this page</a>.</div>
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GoldSimhttp://www.blogger.com/profile/18105288640248926754noreply@blogger.com0tag:blogger.com,1999:blog-8601426913066236591.post-58347578956081835202019-10-31T09:33:00.000-07:002019-10-31T09:52:05.298-07:00Coupling PhreeqcRM with GoldSim: New perspectives for the Mining Industry<div style="font-variant-east-asian: normal; font-variant-numeric: normal; margin: 0px;">
<span style="font-family: inherit;"><span data-darkreader-inline-color="" style="color: black; display: inline; float: none; font-size: 16px;"><i>Posted by </i></span><a href="http://goldsimtech.blogspot.com/p/blog-contributors.html#Jason" style="font-variant-east-asian: normal; font-variant-numeric: normal;"><span data-darkreader-inline-color="" style="--darkreader-inline-color: #ffffef; color: black;"><b>Jason Lillywhite</b></span></a></span><br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEilypY7qchTpy2a80Od_xPaksm04cStP9xgjnmkdoessA9mpfaY2DxFb9GOuKSgpBhtzHJcROIzbi8GX17mLG_Vxut1ZRIxwgnBBZrlQZzt-HnkQDJypgWRp5fP1q_cL6huhCUwQbPwpJii/s1600/phreeqc.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="733" data-original-width="1600" height="292" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEilypY7qchTpy2a80Od_xPaksm04cStP9xgjnmkdoessA9mpfaY2DxFb9GOuKSgpBhtzHJcROIzbi8GX17mLG_Vxut1ZRIxwgnBBZrlQZzt-HnkQDJypgWRp5fP1q_cL6huhCUwQbPwpJii/s640/phreeqc.png" width="640" /></a></div>
<span lang="FR">Benoît Paris<b> (</b></span><a href="mailto:bparis@intera.com">bparis@intera.com</a>)
and Ken Esposito<b> (</b><a href="mailto:KEsposito@intera.com">KEsposito@intera.com</a>) from <a href="https://www.intera.com/" target="_blank">Intera Geoscience and Engineering Solutions</a> recently developed a model that couples <a href="https://water.usgs.gov/water-resources/software/PHREEQC/documentation/phreeqcrm/class_phreeqc_r_m.html" target="_blank">PhreeqcRM </a>with GoldSim using an external dynamic link library (<a href="http://help.goldsim.com/#!Modules/5/externaldllelements.htm" target="_blank">DLL</a>). Their model is highly flexible and efficient as it enables the user to run numerous types of simulations without the need to change the DLL, thus saving potentially significant model preparation time. This tool offers mine operators the possibility to evaluate potential mine impacts and make operational decisions in real time using scientifically-defensible mechanistic models in a probabilistic framework.<br />
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This coupling has been successfully benchmarked against examples from the PHREEQC manual and tested on a complex acid rock drainage conceptual case. While being completely dynamic and seamless, this implementation runs nearly as fast as native PHREEQC simulations allowing Monte Carlo calculations to fully propagate uncertainty in transport models.<br />
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The PhreeqcRM DLL, and its implementation within GoldSim, has been benchmarked against the Phreeqc code (Version 3.5.0) using several examples (#7, 11 & 14) from the PhreeqC manual to check the validity of their approach for simulating various coupled reactive processes. For the comparison, a 15-cell model (plus one injection cell and one extraction cell) is built using the GoldSim software (Figure below).<br />
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<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhxit0JPlryTDtIUnvjIpN7159_RO0eLAYBJwEv0po7pebl08bKhtMgjnHtGZ7kJdzvk5jlUm0vg-R9a9xdaFlPXSWg8BPDfVNi2aTZB_hPp5IvPApWDwe9ipnVIa7eV8Z8n8ELYm9jHdM3/s1600/Model+screen+capture.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" data-original-height="545" data-original-width="960" height="362" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhxit0JPlryTDtIUnvjIpN7159_RO0eLAYBJwEv0po7pebl08bKhtMgjnHtGZ7kJdzvk5jlUm0vg-R9a9xdaFlPXSWg8BPDfVNi2aTZB_hPp5IvPApWDwe9ipnVIa7eV8Z8n8ELYm9jHdM3/s640/Model+screen+capture.png" width="640" /></a></td></tr>
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<b>Network of GoldSim cells for simulating Example
11 from the Phreeqc manual<o:p></o:p></b></div>
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The integrated simulation tool presented in this paper allows the site-specific flow system data to be combined with a geochemical model to depict geochemical reactions that will likely occur in dynamic, real-world water balance and mixing scenarios. Our integrated model is ideal for solving mixing, chemical equilibrium and aqueous speciation problems in complex systems at operating or planned facilities. This seamless approach largely simplifies the model setup while minimizing calculation times compared to previous DLL approaches. This tool can be used to evaluate mine or nuclear waste disposal concepts and to make real-time operational decisions using scientifically defensible, mechanistic models through a probabilistic framework.<br />
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To read more about this model, please <a href="https://www.goldsim.com/Downloads/TechnicalPapers/Intera%20Coupling%20PhreeqcRM%20with%20GoldSim.pdf" target="_blank">read the full paper here.</a><br />
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GoldSimhttp://www.blogger.com/profile/18105288640248926754noreply@blogger.com0tag:blogger.com,1999:blog-8601426913066236591.post-31979955584157174192019-10-31T09:31:00.000-07:002019-10-31T09:31:52.641-07:00Happy Halloween!Happy Halloween from GoldSim Technology Group! <table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhDrOxEf7MJw-L1cBQ5CN_p0KbHEq-A8akGwYfq5qIDtvCc3Zif09XugOCi9PzYrQrdIQHu7QcZ6ZlrzDWFdKmKasIPw_M805C4sOx44h4YHd3XJz7sgFr49QyPihKtQ2Fa3e_xvyGSTwqn/s1600/MicrosoftTeams-image.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" data-original-height="1200" data-original-width="1600" height="480" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhDrOxEf7MJw-L1cBQ5CN_p0KbHEq-A8akGwYfq5qIDtvCc3Zif09XugOCi9PzYrQrdIQHu7QcZ6ZlrzDWFdKmKasIPw_M805C4sOx44h4YHd3XJz7sgFr49QyPihKtQ2Fa3e_xvyGSTwqn/s640/MicrosoftTeams-image.png" width="640" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">From left to right:<br />Ryan, Marek, Rick, Jason, Stefan, and Brenda</td></tr>
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GoldSimhttp://www.blogger.com/profile/18105288640248926754noreply@blogger.com0tag:blogger.com,1999:blog-8601426913066236591.post-3376537723556067822019-06-20T11:18:00.004-07:002019-06-20T21:11:01.203-07:00Oil Sands Water Distribution Model<div style="font-variant-east-asian: normal; font-variant-numeric: normal; margin: 0px;">
<span style="font-family: inherit;"><span data-darkreader-inline-color="" style="--darkreader-inline-color: #ffffef; color: black; display: inline; float: none; font-size: 16px;"><i>Posted by </i></span><a href="http://goldsimtech.blogspot.com/p/blog-contributors.html#Jason" style="font-variant-east-asian: normal; font-variant-numeric: normal;"><span data-darkreader-inline-color="" style="--darkreader-inline-color: #ffffef; color: black;"><b>Jason Lillywhite</b></span></a></span><br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhbB3ecbmLgWwjNsLKwdB3PbTqz1AiWQcMpyke3Ia3tmLotJF2mBkImtfrG9uizKkVILqgAXm6COqVSxVqj3sTFiZl4bCdcKwf7x7D996rrp3AKUb1XtfV0bBA9Hy3tJWrAbPdyqApwzYv3/s1600/2019-06-20_11-14-10.png" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" data-original-height="1266" data-original-width="1466" height="276" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhbB3ecbmLgWwjNsLKwdB3PbTqz1AiWQcMpyke3Ia3tmLotJF2mBkImtfrG9uizKkVILqgAXm6COqVSxVqj3sTFiZl4bCdcKwf7x7D996rrp3AKUb1XtfV0bBA9Hy3tJWrAbPdyqApwzYv3/s320/2019-06-20_11-14-10.png" width="320" /></a>Some years ago, I helped an oil company build a GoldSim model that simulates water distribution for an in-situ bitumen extraction facility. It was a good application for GoldSim because of its dynamic nature and also the feedback loops inherent in the flow streams used to distribute water in the process.<br />
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This blog post summarizes the model and lists some possible future avenues for further modeling with GoldSim.</div>
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<span data-darkreader-inline-color="" style="--darkreader-inline-color: #ffffe1; color: #202020;">The model started out in MS Excel, which was working for planning purposes and estimating rough numbers but as soon as they needed to determine specific flow volumes under various conditions, it quickly became unwieldy so they called for some help with converting it to GoldSim and incorporating more realistic logic more specific to their application. I have since wanted to generalize this model for public distribution so that others could make use of it and perhaps borrow ideas for future projects.</span><br />
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<span data-darkreader-inline-color="" style="--darkreader-inline-color: #ffffe1; color: #202020;">Flow Network</span></h2>
<span data-darkreader-inline-color="" style="--darkreader-inline-color: #ffffe1; color: #202020;">At the most basic level, this model consists of Splitters, Sums, and PreviousValue elements that are used to split flows by fractions, combine flows at junctions, and recirculate flows using previous values, which prevent recursive loops in GoldSim. The image below is a screen capture of this part of the model, which shows a schematic of the basic flow distribution from the oil extraction and water separation all the way through to the treatment and injection of steam created from the water that was extracted and separated.</span><br />
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<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEigjQrzLJiUyaPaSiBE89BhY3ayKC9YpUPgwqFQeYstRu-YgKxagPZb1g_qn4mfpqK9boxdzdwyWHqA52F1w0ixUCgdGIv02r2ASSqQ-tUxNHiW711U5dhjeUrrweRs-yQl6ZqJRD-Q1MHj/s1600/2019-06-20_21-01-33.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" data-original-height="1050" data-original-width="1600" height="419" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEigjQrzLJiUyaPaSiBE89BhY3ayKC9YpUPgwqFQeYstRu-YgKxagPZb1g_qn4mfpqK9boxdzdwyWHqA52F1w0ixUCgdGIv02r2ASSqQ-tUxNHiW711U5dhjeUrrweRs-yQl6ZqJRD-Q1MHj/s640/2019-06-20_21-01-33.png" width="640" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Oil Sands Process Water Distribution System in GoldSim</td></tr>
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<span data-darkreader-inline-color="" style="--darkreader-inline-color: #ffffe1; color: #202020;">The calculations start at the element called "Steam_Distribution" that is a function of a desired oil production rate. From this value, a steam to oil ratio is used to determine the amount of steam to inject. Of this, some is lost to condensation and the remainder injected into the ground where it can then free up bitumen and be pumped back to the surface along with the condensed water as a mixture. There are some gains and losses of water during this underground process, which is defined using a "net loss" factor on the "Reservoir" Splitter element. From here, the mixture undergoes a separation process where some water is lost. We are tracking only water here so the oil part is ignored and the amount of water that remains with the separated oil is considered a loss from the system.</span><br />
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<span data-darkreader-inline-color="" style="--darkreader-inline-color: #ffffe1; color: #202020;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgYwFSwJyTs9bczjzLummK0hRxZyAwnIK2hXfQOdTzs845EZohd6gVAwUD8HTeRHQb-0JIyMdzHtaxvJQcMymC_82y2ePuQGRBygVdL7ldd_rUatPoVnvCA9t0CEsoRqbi6rZfxU98bvX_x/s1600/2019-06-20_10-24-23.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="313" data-original-width="671" height="149" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgYwFSwJyTs9bczjzLummK0hRxZyAwnIK2hXfQOdTzs845EZohd6gVAwUD8HTeRHQb-0JIyMdzHtaxvJQcMymC_82y2ePuQGRBygVdL7ldd_rUatPoVnvCA9t0CEsoRqbi6rZfxU98bvX_x/s320/2019-06-20_10-24-23.png" width="320" /></a></span></div>
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<span data-darkreader-inline-color="" style="--darkreader-inline-color: #ffffe1; color: #202020;">A freshwater source is used to offset net losses in the system as the cycle is completed to the point of injecting steam back into the ground. The amount of freshwater makeup is calculated implicitly by repeating all the calculations until the desired amount of steam is achieved at the element called High_Press_Steam. The next steps in the flow process undergo softening, combine the blowdown recycle stream, and finally make its way to the boiler feedwater (BFW) tank. The amount of incoming recycle flows is highly contaminated, so the recycle flow rate must be carefully controlled to maintain water quality that is acceptable for the steam generation process. </span><br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg1TSu6b75a9N5ZYaff8HIpymkExUR9RZrUJ9mfzWGSQBhdzOEQIgQeaVThEj5rKYjZj14RAZ58wkkVhLK16gJvIdOkp7qDbM_VvF-v-HsiX_H4u2uuIm40J7dRlVOvhqhOC9Bl_BUKA_C8/s1600/2019-06-20_10-25-51.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="582" data-original-width="1120" height="166" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg1TSu6b75a9N5ZYaff8HIpymkExUR9RZrUJ9mfzWGSQBhdzOEQIgQeaVThEj5rKYjZj14RAZ58wkkVhLK16gJvIdOkp7qDbM_VvF-v-HsiX_H4u2uuIm40J7dRlVOvhqhOC9Bl_BUKA_C8/s320/2019-06-20_10-25-51.png" width="320" /></a></div>
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<span data-darkreader-inline-color="" style="--darkreader-inline-color: #ffffe1; color: #202020;"><br /></span><span data-darkreader-inline-color="" style="--darkreader-inline-color: #ffffe1; color: #202020;">Water flows from the BFW to the steam separator, where additional losses occur due to condensation and steam flash. The steam flash is recirculated to the stream just upstream of the BFW tank. The steam flash is assumed to be free of contamination so this does provide some dilution. Note the element is a previous value since this is a feedback look on the process and would otherwise cause a recursive loop.</span><br />
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<span data-darkreader-inline-color="" style="--darkreader-inline-color: #ffffe1; color: #202020;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi5iPkyCmNNI5BD-6Jmd1mgTOiYaBOYRu1HBNuZR_LuwmOHPHr3LlTsVFlTfts8x9tysmSOB9bIbl3bmFN0BvbS4vJ1jiK8kcBJNOQRC4EO8ek2AodcdCRR_uVJTubecw0OH7R8e_WWcpQA/s1600/2019-06-20_10-31-48.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="513" data-original-width="554" height="296" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi5iPkyCmNNI5BD-6Jmd1mgTOiYaBOYRu1HBNuZR_LuwmOHPHr3LlTsVFlTfts8x9tysmSOB9bIbl3bmFN0BvbS4vJ1jiK8kcBJNOQRC4EO8ek2AodcdCRR_uVJTubecw0OH7R8e_WWcpQA/s320/2019-06-20_10-31-48.png" width="320" /></a></span></div>
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<span data-darkreader-inline-color="" style="--darkreader-inline-color: #ffffe1; color: #202020;">When the water is heated in the boiler, the remaining water is left with all of the contaminants in what is called "blowdown". The high-concentrated blowdown is put into a recycle stream where a portion of this is disposed and the rest is sent back into the BFW stream. The proportions of recycle and disposal is very important as it significantly impacts the water quality of the water that is again treated. Because of this, the proportion must be controlled carefully to ensure just the right amount of contamination remains in the stream. </span><br />
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<span data-darkreader-inline-color="" style="--darkreader-inline-color: #ffffe1; color: #202020;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiTCHaeaez67QLgnvqwXO2pq1xe2l7YufMYV8XRF4dnnZGHdC9VGzYs00zICvLoshi_E3cZYqOe3O9eTppApPZl2uLGS98XNVDrIPq1J-lTUIaOHqvYz2ktylsZuwgu0LXLQbgA_5zGffSF/s1600/2019-06-20_10-34-11.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="530" data-original-width="840" height="251" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiTCHaeaez67QLgnvqwXO2pq1xe2l7YufMYV8XRF4dnnZGHdC9VGzYs00zICvLoshi_E3cZYqOe3O9eTppApPZl2uLGS98XNVDrIPq1J-lTUIaOHqvYz2ktylsZuwgu0LXLQbgA_5zGffSF/s400/2019-06-20_10-34-11.png" width="400" /></a></span></div>
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<span data-darkreader-inline-color="" style="--darkreader-inline-color: #ffffe1; color: #202020;">Solving for Freshwater Makeup</span></h2>
<span data-darkreader-inline-color="" style="--darkreader-inline-color: #ffffe1; color: #202020;">The flow network described above resides inside a "Looping Container". A looping container is used in GoldSim to solve for the correct amount of freshwater makeup needed to maintain the required amount of steam needed for the oil sands process. In the looping container, all elements within a container will repeat until a condition is met or while a condition is true. Below, you can see the condition expression used for this container.</span><br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhjqCSmZoBY9HyVSYZsUyiIeUAgWqmuy2VWsaJratyTdg58xiBF6v75cb0ect6bjT-wsa_5rZyGxKmAgiFmYHkgh21-dZ0BR7oe1Zro43GSww9kUEtv6pv45fCbb_vTbBvyIJnAl792zwrz/s1600/Picture1.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="717" data-original-width="1023" height="448" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhjqCSmZoBY9HyVSYZsUyiIeUAgWqmuy2VWsaJratyTdg58xiBF6v75cb0ect6bjT-wsa_5rZyGxKmAgiFmYHkgh21-dZ0BR7oe1Zro43GSww9kUEtv6pv45fCbb_vTbBvyIJnAl792zwrz/s640/Picture1.png" width="640" /></a></div>
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The flow network will re-calculate until the following condition is met:</div>
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<span data-darkreader-inline-color="" style="--darkreader-inline-color: #fff3d3; color: #274e13; font-family: "courier new" , "courier" , monospace;">~Required_Steam - High_Press_Steam < 0.01 l/s and ~LoopCount > 5</span><br />
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<span data-darkreader-inline-color="" style="--darkreader-inline-color: #ffffe1; color: #202020;">The required steam is a user-defined input and the term "High_Pressure_Steam" is the flow calculated in the flow network. Looping will continue until these two values are close to the same (within 0.01 L/s). As each loop progresses, the freshwater makeup flow is increased by a small increment using the following equation:</span><br />
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<span data-darkreader-inline-color="" style="--darkreader-inline-color: #fff3d3; color: #274e13; font-family: "courier new" , "courier" , monospace;">Freshwater_Makeup = (~LoopCount - 1) * 0.01 l/s</span><br />
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<span data-darkreader-inline-color="" style="--darkreader-inline-color: #ffffe1; color: #202020;">On the first iteration, the term "LoopCount" is 1. Using the above equation, the freshwater makeup is zero. On following iterations (loops) of the flow network container, the freshwater makeup is incremented by 0.01 l/s. This continues until enough freshwater is added to provide the correct steam that meets the requirement.</span><br />
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<span data-darkreader-inline-color="" style="--darkreader-inline-color: #ffffe1; color: #202020;">Contaminant Transport</span></h2>
<span data-darkreader-inline-color="" style="--darkreader-inline-color: #ffffe1; color: #202020;">GoldSim's Contaminant Transport (CT) module is used to quantify and keep track of contaminants in the system. For this simple model, only TDS is tracked but we could easily add many more species to the list of contaminants to track. Once the freshwater makeup flow has been calculated, TDS concentrations are calculated using GoldSim's CT cell pathways using the water flows calculated in the flow network. Each cell represents of node of the system where mixing is instantaneous and complete. These nodes only link contaminated flow paths and steam flows are ignored because it is assumed that there is no contamination in those steams. Below is a screen capture of the contaminant transport network of the model.</span><br />
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<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEid6kaAdYHbDsHTTbQ30NtTQL5liQkLPdJZTmQiCryBtXyL551tulJHjLj4g989jqG8aOPMxPBUnZziyEdC1vEiWX0imubVWcp3MdiUzW1GnrHzSxke8ScvG6jAwVEujc7GoJPtZOFa53Sm/s1600/2019-06-20_10-52-21.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" data-original-height="809" data-original-width="1105" height="468" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEid6kaAdYHbDsHTTbQ30NtTQL5liQkLPdJZTmQiCryBtXyL551tulJHjLj4g989jqG8aOPMxPBUnZziyEdC1vEiWX0imubVWcp3MdiUzW1GnrHzSxke8ScvG6jAwVEujc7GoJPtZOFa53Sm/s640/2019-06-20_10-52-21.png" width="640" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Contaminant Transport in the Water Distribution System</td></tr>
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<span data-darkreader-inline-color="" style="--darkreader-inline-color: #ffffe1; color: #202020;">The boundary conditions for this model are the assumed concentrations at the inflows: Reservoir_Source and Freshwater_Source. From this point, GoldSim calculates the concentration of TDS in other cells based on the amount of contaminated water that flows in and out along with clean steam/water that is removed and/or recycled back in. These calculations can also be accomplished with simple expression elements using a mass balance approach but the CT module provides the additional capability of including a list of contaminants in the future without further complicating the model. </span><br />
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<span data-darkreader-inline-color="" style="--darkreader-inline-color: #ffffe1; color: #202020;">Optimizing Blowdown Recycle</span></h2>
<span data-darkreader-inline-color="" style="--darkreader-inline-color: #ffffe1; color: #202020;">The concentration at the BFW tank is compared to a user-defined maximum limit based on what the steam separator requires for optimum operation. In the case of this model, TDS must be <= 8000 mg/L. To maintain this concentration (a value at or just below 8000), we use optimization to best determine the fraction of blowdown recycle. If you decrease blowdown recycle too much, then TDS drops below 8000 mg/L and you end up using too much freshwater makeup. If you increase the blowdown recycle too much, then the concentration of TDS will rise above 8000 mg/L and compromise the steam separation process. In order to maintain the correct amount, GoldSim automatically optimizes the concentration very near the limit by fine tuning the recycle fraction for us. This is done using an "Optimization submodel". Below is a screen capture showing how the optimization is set up.</span><br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhcbFXPrTMgUaz5IBk4XW1WO611N0fUcE9FCBh-dV6TIcqphjBEOLSS15OYuptTrLXK0Ts69_DL0wTGY4afa0_shqvaF95yZLYxyWwKIhlbJesifVZbfrN3qcX9kyrukGs_ZGfnm7nDgvvY/s1600/Picture2.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="553" data-original-width="1101" height="320" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhcbFXPrTMgUaz5IBk4XW1WO611N0fUcE9FCBh-dV6TIcqphjBEOLSS15OYuptTrLXK0Ts69_DL0wTGY4afa0_shqvaF95yZLYxyWwKIhlbJesifVZbfrN3qcX9kyrukGs_ZGfnm7nDgvvY/s640/Picture2.png" width="640" /></a></div>
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<span data-darkreader-inline-color="" style="--darkreader-inline-color: #ffffe1; color: #202020;">The key to the optimization process is to establish an objective function. In our case, it is the difference between the water quality limit at the BFW (8000 mg/L) and the calculated concentration in the flow stream. The equation is shown below:</span><br />
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<span data-darkreader-inline-color="" style="--darkreader-inline-color: #fff3d3; color: #274e13; font-family: "courier new" , "courier" , monospace;">WQ_Diff = abs(~Max_C_OTSG - BFW_CT.Concentration_in_Water[TDS])</span><br />
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<span data-darkreader-inline-color="" style="--darkreader-inline-color: #ffffe1; color: #202020;">Where:</span><br />
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<span data-darkreader-inline-color="" style="--darkreader-inline-color: #fff3d3; color: #274e13; font-family: "courier new" , "courier" , monospace;">Max_C_OTSG = </span><span data-darkreader-inline-color="" style="--darkreader-inline-color: #ffffe1; color: #202020;">Maximum limit on TDS concentration at the OTSG (Once Through Steam Generator)</span></div>
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<span data-darkreader-inline-color="" style="--darkreader-inline-color: #ffffe1; color: #202020;">and:</span></div>
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<span data-darkreader-inline-color="" style="--darkreader-inline-color: #fff3d3; color: #274e13; font-family: "courier new" , "courier" , monospace;">BFW_CT.Concentration_in_Water[TDS] =</span><span data-darkreader-inline-color="" style="--darkreader-inline-color: #ffffe1; color: #202020;"> the calculated concentration in that stream</span></div>
<span data-darkreader-inline-color="" style="--darkreader-inline-color: #ffffe1; color: #202020;"><br /></span>
<span data-darkreader-inline-color="" style="--darkreader-inline-color: #ffffe1; color: #202020;">The optimization also requires that the following condition is met:</span><br />
<span data-darkreader-inline-color="" style="--darkreader-inline-color: #fff3d3; color: #274e13; font-family: "courier new" , "courier" , monospace;">~Max_C_OTSG >= BFW_CT.Concentration_in_Water[TDS]</span><br />
<span data-darkreader-inline-color="" style="--darkreader-inline-color: #ffffe1; color: #202020;"><br /></span>
<span data-darkreader-inline-color="" style="--darkreader-inline-color: #ffffe1; color: #202020;">Meaning that whatever the optimizer picks for a recycle fraction, it must not result in concentrations that exceed the limit.</span><br />
<span data-darkreader-inline-color="" style="--darkreader-inline-color: #ffffe1; color: #202020;"><br /></span>
<span data-darkreader-inline-color="" style="--darkreader-inline-color: #ffffe1; color: #202020;">Finally, the optimization variables must be chosen along with a range of possible values picked during the optimization process. In our case, it is the "Blowdown_Recycle" fraction, which ranges from 0-100%. A value of 100% would cause 100% of the blowdown to be recycled. The remaining blowdown is treated and disposed of.</span><br />
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<span data-darkreader-inline-color="" style="--darkreader-inline-color: #ffffe1; color: #202020;">Intuitive User Interface</span></h2>
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<span data-darkreader-inline-color="" style="--darkreader-inline-color: #ffffe1; color: #202020;">A GoldSim Dashboard is used to display the flows and concentrations at all points in the process along with indicators of meeting water quantities and water quality objectives. </span><br />
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<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjPVO1RxRYhln0LkAlogUMcW6zoFi90oajRnxmWd6-PpHxTeCTlct00V5kK1-ByTV_AG6_pgRsPS0cgxkq97p_oMo8giugKd5tN7ZqBOWWLxgvAUOYAQNmqZTAxBjlHIC9-DPd1mz4mGfRa/s1600/2019-06-20_11-14-10.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" data-original-height="1266" data-original-width="1466" height="552" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjPVO1RxRYhln0LkAlogUMcW6zoFi90oajRnxmWd6-PpHxTeCTlct00V5kK1-ByTV_AG6_pgRsPS0cgxkq97p_oMo8giugKd5tN7ZqBOWWLxgvAUOYAQNmqZTAxBjlHIC9-DPd1mz4mGfRa/s640/2019-06-20_11-14-10.png" width="640" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">User Interface</td></tr>
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<span data-darkreader-inline-color="" style="--darkreader-inline-color: #ffffe1; color: #202020;">This model is set up for a static run but can easily be modified to run for a duration of time set by the user if any of the model inputs are to change over time. Alternatively, you could run scenarios that use different inputs to visualize the changes in the model. This model is useful in demonstrating how water might be distributed in a typical in-situ oil sands process but also demonstrates GoldSim's utility for simulating process flows for a wide array of applications. I highly recommend that you take a look at the model and play with some of the inputs. You can get a copy of the model from our library: </span><a href="https://support.goldsim.com/hc/en-us/articles/360025002354">https://support.goldsim.com/hc/en-us/articles/360025002354</a><br />
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Let me know if you have any questions or comments about it.<br />
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GoldSimhttp://www.blogger.com/profile/18105288640248926754noreply@blogger.com0tag:blogger.com,1999:blog-8601426913066236591.post-82384879992089930662019-05-17T21:49:00.000-07:002019-06-11T07:49:49.295-07:00Spline Interpolation of Monthly Data<div style="font-variant-east-asian: normal; font-variant-numeric: normal; margin: 0px;">
<span style="font-family: inherit;"><span style="color: black; display: inline; float: none; font-size: 16px;"><i>Posted by </i></span><a href="http://goldsimtech.blogspot.com/p/blog-contributors.html#Jason" style="font-variant-east-asian: normal; font-variant-numeric: normal;"><span style="color: black;"><b>Jason Lillywhite</b></span></a></span><br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjtmoW_vatjimRrS4cg5J69WSGVta2z0mm2s8ulEB8seQjsi52hb8UeYi6Q4bon8JODrFvqsBlZSj-4D1BygOqmjqzfrj7UWQV3_NVJDznoMeB9FRJ6xArm34LHpY-j8V9KRSdI8ukZoey-/s1600/2019-05-17_16-53-54.jpg" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" data-original-height="740" data-original-width="932" height="254" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjtmoW_vatjimRrS4cg5J69WSGVta2z0mm2s8ulEB8seQjsi52hb8UeYi6Q4bon8JODrFvqsBlZSj-4D1BygOqmjqzfrj7UWQV3_NVJDznoMeB9FRJ6xArm34LHpY-j8V9KRSdI8ukZoey-/s320/2019-05-17_16-53-54.jpg" width="320" /></a></div>
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Some time-varying data we use for our models is in the form of averages for time periods that are longer than the simulation time step. This can present some challenges if your model is sensitive to large jumps in the data as the simulation walks through time. For example, monthly average values in a daily simulation model will output values that are constant for all the days of each month and jump in between them. If you feel like this is not sufficient for your modeling needs, you can use linear or spline interpolation to transition smoothly between months. In this blog post, I walk through some examples that use spline interpolation to help you see how it might be of use to you and your applications.</div>
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<span style="color: #202020;">The first example I will demonstrate is a simple model that has monthly average temperature values measured in Sydney Australia as input. I obtained the data from a quick google search:</span><br />
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhreURqwrjaaBc-1_6akJO7sqnW7HDbt-ZnU4m-kyhZqF3TxTyuWt8o6HjHWbN-c2K7EuB7pDAr9BmApEf8T-wG_LeYVzAk3rCAcaMpFXtbrr1QsCfQAnSYo68HegBYauFfnewZ_hc4fA-_/s1600/2019-05-17_17-07-47.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" data-original-height="610" data-original-width="1232" height="195" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhreURqwrjaaBc-1_6akJO7sqnW7HDbt-ZnU4m-kyhZqF3TxTyuWt8o6HjHWbN-c2K7EuB7pDAr9BmApEf8T-wG_LeYVzAk3rCAcaMpFXtbrr1QsCfQAnSYo68HegBYauFfnewZ_hc4fA-_/s400/2019-05-17_17-07-47.jpg" width="400" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Source: <a class="XcG8xb" data-ved="2ahUKEwiRvbm85KPiAhVTnp4KHXetBtoQuJ4CMAB6BAhnEBU" href="https://www.ncdc.noaa.gov/" ping="/url?sa=t&source=web&rct=j&url=https://www.ncdc.noaa.gov/&ved=2ahUKEwiRvbm85KPiAhVTnp4KHXetBtoQuJ4CMAB6BAhnEBU" style="background-color: white; color: #8c8c8c; cursor: pointer; display: inline-block; font-family: Roboto, arial, sans-serif; font-size: 12px; line-height: 36px; text-align: left; text-decoration-line: none;">NOAA</a></td></tr>
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I entered these values into a GoldSim Data element with a vector [Months] data type.</div>
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgu2pojDRO-J5LJ12_t3kMHzrAPoDjrxG1B8BNpKK2VoBtwU2u2gYKRmMNeWniYuMI8DoURpjK1uKrupAPLXdEjoXnRwX3UDDbliQgtTwl63n4PKGjl2nKpYC-dF6rDryS0aSSgi56-gs-q/s1600/2019-05-17_17-09-16.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="410" data-original-width="445" height="183" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgu2pojDRO-J5LJ12_t3kMHzrAPoDjrxG1B8BNpKK2VoBtwU2u2gYKRmMNeWniYuMI8DoURpjK1uKrupAPLXdEjoXnRwX3UDDbliQgtTwl63n4PKGjl2nKpYC-dF6rDryS0aSSgi56-gs-q/s200/2019-05-17_17-09-16.jpg" width="200" /></a></div>
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<span style="color: #202020;">The simulation runs on a daily time step. Below is a plot showing the output of these monthly values. As you can see, the temperature jumps at the change of each month because the values are held constant for each month. These kinds of jumps can easily cause headaches for models with sensitivity to change of this inputs.</span><br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiZTvq6Pv4SmwYUVpUhsNoKje0Gasm5pX2_EtWn8U_j5Con2sD905fNX_1iZtJ1h-ZjY0q1jflEO70JI6AwsS8AogOBJP6IqQXXe1IZ0i8X2xzdKM9ZdY6tpeFn_794b4uWGpcryYlOaHkr/s1600/2019-05-17_17-05-20.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="851" data-original-width="1336" height="253" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiZTvq6Pv4SmwYUVpUhsNoKje0Gasm5pX2_EtWn8U_j5Con2sD905fNX_1iZtJ1h-ZjY0q1jflEO70JI6AwsS8AogOBJP6IqQXXe1IZ0i8X2xzdKM9ZdY6tpeFn_794b4uWGpcryYlOaHkr/s400/2019-05-17_17-05-20.jpg" width="400" /></a></div>
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A simple solution to this problem is to linearly interpolate the values using a lookup table. If I copy these values to a lookup table with independent values as the months 1-12, then I can linearly interpolate. One trick is to create a new global model property called "Decimal_Month", which is a fractional month that can be updated each day of the simulation. The equation is.</div>
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<span style="font-family: "courier new" , "courier" , monospace;">Decimal_Month = Month + (DayOfMonth - 1) / DaysInMonth</span></blockquote>
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Where "Month" is the built-in run property that signifies the month with an integer between 1 and 12. "DayOfMonth" is the current day of the month in the simulation. For example, the DayOfMonth when the simulation is on Jan 15, the output will be 15. The "DaysInMonth" output is the number of calendar days in each month of the simulation. This equation will result in a fractional month count where Jan 1 starts at 1.0 and the last day in the year (Dec 31) is 12.97. This allows us to linearly interpolate on the lookup table values linearly:</div>
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEj1X84HkEOfCvemTTrLAjF-esFA-aa1PuvUXqOYBSspLrRm4VOyBt16W0iriYLuDRatiEN8_i50PiM31FHaLR3uDD6lg0Wv4sCOLSO81roqY5lfaSPYRpRSxNbV0bMgvdpddnMqZzlo7yR8/s1600/2019-05-17_17-23-04.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="851" data-original-width="1336" height="253" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEj1X84HkEOfCvemTTrLAjF-esFA-aa1PuvUXqOYBSspLrRm4VOyBt16W0iriYLuDRatiEN8_i50PiM31FHaLR3uDD6lg0Wv4sCOLSO81roqY5lfaSPYRpRSxNbV0bMgvdpddnMqZzlo7yR8/s400/2019-05-17_17-23-04.jpg" width="400" /></a></div>
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Because the values are interpolated from the time of the change, which occurs at the beginning of each month, we should shift the interpolated values over by 1/2 of the month. You can do this easily using an information delay.</div>
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiufdqce09G1j2YhcBTSbxYOL4cID7q7Odoyo-eiCTXV7GKI4MT9jsHR-7V6SXxb5nKKMRaeaqVp34jmbM84NIrgjF4S4SoWuLJ6MpKf0LDHr-vubmjh5lAi77XpQLbOqycobACn3nE5y-m/s1600/2019-05-17_17-29-56.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="851" data-original-width="1336" height="253" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiufdqce09G1j2YhcBTSbxYOL4cID7q7Odoyo-eiCTXV7GKI4MT9jsHR-7V6SXxb5nKKMRaeaqVp34jmbM84NIrgjF4S4SoWuLJ6MpKf0LDHr-vubmjh5lAi77XpQLbOqycobACn3nE5y-m/s400/2019-05-17_17-29-56.jpg" width="400" /></a></div>
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The result could very well be sufficient for your modeling needs. In the case shown above, the error introduced by the linear interpolation is relatively small. However, other data series might cause significant error so caution should be used when doing this type of interpolation. </div>
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For example, in a model that simulates population growth and water demand, we have 12 seasonal demand factors that are applied to the annual total water use amount in order to estimate the monthly demands. In this case, we are looking at data obtained from a site in North America. Below is a plot showing the comparison of these values and their linear interpolation.</div>
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiOaDF8fHUxU1_jU7AvVoh9NKwLmuX1Lx-6oU3wTVobn7_8cet12wOhuipoF8TIQUeM27Ws6RQOyYhZ_ZYt_ohyphenhyphenNVnEq8wQ54gsmenChfMDApje6TLaouIsCCnzukgneD8eXws1Y_DfReee/s1600/2019-05-17_18-00-28.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="851" data-original-width="1354" height="251" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiOaDF8fHUxU1_jU7AvVoh9NKwLmuX1Lx-6oU3wTVobn7_8cet12wOhuipoF8TIQUeM27Ws6RQOyYhZ_ZYt_ohyphenhyphenNVnEq8wQ54gsmenChfMDApje6TLaouIsCCnzukgneD8eXws1Y_DfReee/s400/2019-05-17_18-00-28.jpg" width="400" /></a></div>
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The problem lies in areas where there is a sharp change in direction like this plot shows in July 2019. At this point, you could underestimate the value around this change. This is where a spine interpolation can help. While still an imperfect interpolation, it will not underestimate the monthly amounts as dramatically due to the curvature of the line as it is interpolated around the sharp changes. Below is a graph showing the comparison of monthly averages and the values with the spline interpolation for a table of values with sharper differences from month to month.</div>
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiDzitclxABw16G-x7nR60WHTQBogX-RE54icxSoLiOkC1noFqz7iqojFdHzsFzs0avGkceyOtnPMxVHKXHyF1qu-fJJLJsmBz0iVUvyd6RVVhagXNLs6Y4t2qJfGm-sQbhJUk8XeuHk1Wi/s1600/2019-06-07_19-57-40.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="960" data-original-width="1248" height="491" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiDzitclxABw16G-x7nR60WHTQBogX-RE54icxSoLiOkC1noFqz7iqojFdHzsFzs0avGkceyOtnPMxVHKXHyF1qu-fJJLJsmBz0iVUvyd6RVVhagXNLs6Y4t2qJfGm-sQbhJUk8XeuHk1Wi/s640/2019-06-07_19-57-40.jpg" width="640" /></a></div>
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The next plot shows the difference between the cumulative monthly average amounts vs. cumulative amounts from the interpolated output. As shown below, the differences are insignificant.</div>
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEizsvdo0UBDkNZsatOO7t39nr9-JC5v6IfwmwI28LBCmj90h_XKRYa8j1jW3nHl9s7hM8KtFa1y2kPbGC8F0kDl0_hpBmpB9oOS37Dtyh2cUSpP1L4Zk2Ctglf1GlOntwlB7jSYumlfeJim/s1600/2019-06-07_20-08-02.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="754" data-original-width="1600" height="299" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEizsvdo0UBDkNZsatOO7t39nr9-JC5v6IfwmwI28LBCmj90h_XKRYa8j1jW3nHl9s7hM8KtFa1y2kPbGC8F0kDl0_hpBmpB9oOS37Dtyh2cUSpP1L4Zk2Ctglf1GlOntwlB7jSYumlfeJim/s640/2019-06-07_20-08-02.jpg" width="640" /></a></div>
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Interpolation of monthly values is also helpful for models that apply uncertainty. Take, for example, the above input data when applying a stochastic multiplier used to represent uncertainty. I created a stochastic element that samples a random number from a normal distribution with a mean of 1.0 and a standard deviation of 0.1 and auto-correlation of 0.9 then multiply that random number by the average flow rate and it produces the following result.</div>
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhZ26WhVN913jxd_QBld-WPaRGxJv4Ga96B2ipY_vqFHiv7_bHFhh9Tc0RLmJdIQlOFD4xWlUpJWywt9h1qVGYT2kKjLT5eWZr6WbJ6Qjo5Bb0Q7bd6HnxFCVxyhlQDvNfNeuCWeHs23gnu/s1600/2019-05-19_8-48-20.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="813" data-original-width="1094" height="473" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhZ26WhVN913jxd_QBld-WPaRGxJv4Ga96B2ipY_vqFHiv7_bHFhh9Tc0RLmJdIQlOFD4xWlUpJWywt9h1qVGYT2kKjLT5eWZr6WbJ6Qjo5Bb0Q7bd6HnxFCVxyhlQDvNfNeuCWeHs23gnu/s640/2019-05-19_8-48-20.jpg" width="640" /></a></div>
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As you can see, the effect of the jumps between months is unnatural and unrealistic. Some of the transitions between months is even greater than before. The interpolated model will remedy this.</div>
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhZLLeAxKAIKCAM5hBjz_N6gKwBm8sh1TBktB7zngmozHAjA_YDc9SNOQGfcBITcr_cQSRp9RIlsuKDSXtuMWFyHMwDjLhquoX2kPKYkXOu2J4ozyo_UXnsrQ-IjjVsQzUfwa6qpqlLWAg3/s1600/2019-05-19_8-48-49.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="813" data-original-width="1094" height="473" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhZLLeAxKAIKCAM5hBjz_N6gKwBm8sh1TBktB7zngmozHAjA_YDc9SNOQGfcBITcr_cQSRp9RIlsuKDSXtuMWFyHMwDjLhquoX2kPKYkXOu2J4ozyo_UXnsrQ-IjjVsQzUfwa6qpqlLWAg3/s640/2019-05-19_8-48-49.jpg" width="640" /></a></div>
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The spline interpolation can be incorporated into your model by copying the model from our Model Library. It is a method <a href="https://support.goldsim.com/hc/en-us/articles/115012408587-Spline-Interpolation-of-a-1-D-Lookup-Table" target="_blank">first implemented</a> in GoldSim by Camilo Gatica of <a href="https://www.golder.com/" target="_blank">Golder Associates</a>. This method was subsequently borrowed to build the models described above for use in daily time step models that run for a longer simulation duration.</div>
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If you are interested in learning more about the spline interpolation used in GoldSim, please have a look at both of these models:</div>
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<a href="https://support.goldsim.com/hc/en-us/articles/115012408587-Spline-Interpolation-of-a-1-D-Lookup-Table" rel="noreferrer" style="background: rgb(255, 255, 255); color: #1f73b7; cursor: pointer; font-family: system-ui, -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, Oxygen-Sans, Ubuntu, Cantarell, "Helvetica Neue", Arial, sans-serif; font-size: 14px; margin: 0px; padding: 0px; text-decoration-line: none; vertical-align: baseline;" target="_blank">Spline Interpolation of a 1-D Lookup Table</a></div>
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<a href="https://support.goldsim.com/hc/en-us/articles/360023299754-Spline-Interpolation-for-Monthly-Data" rel="noreferrer" style="background: rgb(255, 255, 255); color: #1f73b7; cursor: pointer; font-family: system-ui, -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, Oxygen-Sans, Ubuntu, Cantarell, "Helvetica Neue", Arial, sans-serif; font-size: 14px; margin: 0px; padding: 0px; text-decoration-line: none; vertical-align: baseline;" target="_blank">Spline Interpolation for Monthly Data</a></div>
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<a href="https://support.goldsim.com/hc/en-us/requests/new" target="_blank">Let us know</a> if you have any questions about how the interpolation is done or if you have problems incorporating it into your model.</div>
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GoldSimhttp://www.blogger.com/profile/18105288640248926754noreply@blogger.com0tag:blogger.com,1999:blog-8601426913066236591.post-49396746772075713292019-02-13T10:46:00.002-08:002019-02-13T10:59:46.167-08:00GoldSim 12.1 Update 2 - Summary<div style="font-variant-east-asian: normal; font-variant-numeric: normal; margin: 0px;">
<span style="font-family: inherit;"><span style="color: black; display: inline; float: none; font-size: 16px;"><i>Posted by </i></span><a href="http://goldsimtech.blogspot.com/p/blog-contributors.html#Jason" style="font-variant-east-asian: normal; font-variant-numeric: normal;"><span style="color: black;"><b>Jason Lillywhite</b></span></a></span><br />
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We just released <a href="https://www.goldsim.com/Web/Customers/Downloads/GoldSim/Latest/" target="_blank">GoldSim 12.1</a><span style="color: #202020; font-size: 18px;"><a href="https://www.goldsim.com/Web/Customers/Downloads/GoldSim/Latest/" target="_blank"> Update 2</a>, which includes some noteworthy features even though it is labeled a "minor update". In this blog post, I will briefly describe some of them.</span><br />
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<span style="color: #202020;"><span style="font-size: 18px;"><br /></span></span><span style="color: #202020;">Below is a summary of the highlights of this release.</span><br />
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<span style="color: #202020;">Export Multi-Variate Result Values</span></h2>
<span style="color: #202020;">The first feature I'd like to mention is the ability to export all final value results for outputs referenced by a Multi-Variate result element. In result mode, when you right-click on the Multi-variate Result icon, there is now an option to 'Export Results...' in the context menu. </span><br />
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<span style="color: #202020;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh7jLV3afRHZf_-1oW7L9zjV4QbEmrIPeh7L9Y_SXScUpvii4UTp4BEc8ESs7VIKk9ifEJDRFzWsTHss9J8aRH1lejeccY0McxCvZm9d4TYyThVZMS3TPIhHQQ43w_aVG8n2IsEewpLHopB/s1600/MultivariateContext1.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="414" data-original-width="623" height="212" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh7jLV3afRHZf_-1oW7L9zjV4QbEmrIPeh7L9Y_SXScUpvii4UTp4BEc8ESs7VIKk9ifEJDRFzWsTHss9J8aRH1lejeccY0McxCvZm9d4TYyThVZMS3TPIhHQQ43w_aVG8n2IsEewpLHopB/s320/MultivariateContext1.png" width="320" /></a></span></div>
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<span style="color: #202020;">When you select this, GoldSim exports the final values to a comma delimited text file. The header includes all the output names. Also, there is an option to include the full path of the output if you hold the Shift key while selecting "Export Results..." from the context menu. Result values are always exported in their defined display units and using globally defined precision and formatting rules (just like they would appear in the table). </span><span style="color: #202020;">I tried this myself using one of our library models that has Multi-Variate Charts - the </span><a href="https://support.goldsim.com/hc/en-us/articles/115012548387-Dam-Break-Risk-Assessment" target="_blank">Dam Break Risk Assessment</a><span style="color: #202020;"> model. To follow along, please see this short video recording showing the process.</span><br />
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<iframe allowfullscreen="" class="YOUTUBE-iframe-video" data-thumbnail-src="https://i.ytimg.com/vi/8EIVyhEkOkc/0.jpg" frameborder="0" height="266" src="https://www.youtube.com/embed/8EIVyhEkOkc?feature=player_embedded" width="320"></iframe></div>
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<span style="color: #202020;">Additional Information in Container Properties</span></h2>
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<span style="color: #202020;">Another little feature that I wanted to mention is the additional information shown in the Container Element Information tab about the total number of inputs and outputs (including all elements of non-scalar inputs/outputs).</span></div>
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhO0kdy7WIahhf-BB9jSnwZwN_hR6hgvoyU-ZfOA0jLwFEtzUbu1eWYIsSO70Q1NyqRFQBO6kfY7wDWZtaVeeS18uQf5AnLHm2qGiaTtba8vSnwBoo8Fzngp4O1btHHrkH2KA_YznZ2UT7L/s1600/Container+Information.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" data-original-height="689" data-original-width="885" height="497" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhO0kdy7WIahhf-BB9jSnwZwN_hR6hgvoyU-ZfOA0jLwFEtzUbu1eWYIsSO70Q1NyqRFQBO6kfY7wDWZtaVeeS18uQf5AnLHm2qGiaTtba8vSnwBoo8Fzngp4O1btHHrkH2KA_YznZ2UT7L/s640/Container+Information.png" width="640" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Summary of Information about the Contents of a Container</td></tr>
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This information is useful for understanding how many results are contained inside the container and not just how many elements. This can be useful information for large models.</div>
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Performance Improvement</h2>
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Another improvement made to GoldSim in this update is related to performance of large and complex models. This applies to loading, saving, building the causality sequence, sequencing large cell-nets, and copying/pasting in large models. This feature could significantly speed up those processes, depending on the type of model you have. Feel free to <a href="https://www.goldsim.com/Web/Customers/Support/" target="_blank">contact us</a> if you have questions about this improvement.<br />
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<h2>
Fix to the Pipe Element</h2>
We fixed an error that occurred in the Pipe Element (in the CT and RT modules) when handling particulate matter and matrix diffusion. If you happened to be using a Pipe element and simulating matrix diffusion AND suspended solids, the suspended solids were mistakenly allowed to diffuse into the matrix. This has now been fixed.</div>
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Minor Bug Fixes</h2>
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We are always improving GoldSim and whenever a bug is found, we make it our top priority to fix them as time permits. This update includes some minor bug fixes that we caught (or our customers caught) since the last update. These don't need special mention but if you are curious, you can always read about them in our <a href="https://www.goldsim.com/Downloads/Software/RelNotes.htm" target="_blank">Release Notes</a>.</div>
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