Clones, Arrays and Indexing for Large Multi-node Models; Solubility calculations and other uses

We are pleased to showcase an interesting presentation by Alex Fitzpatrick, a Senior Modeler at Klohn Crippen Berger Australia. Presented at the 2024 GoldSim User Conference, Alex's work presents a practical and innovative approach to managing the inherent complexity of large-scale water quality models in GoldSim. 

This approach can address the challenge of managing many parameters in models that track water, water quality, and material across numerous locations. By strategically employing GoldSim's cloning, array, and indexing capabilities, Alex demonstrates how modelers can achieve better organization, transparency, and scalability. This technique can be valuable for models with thousands of elements and multiple levels of sub-containment, such as those simulating complex interactions within chemistry control points, reservoirs, and various mine operation and closure plans. 

Read on to see how these advanced GoldSim features transform large datasets into manageable simulations.

Application of the Markov Process Rainfall Model

Posted by Jason Lillywhite

If you have visited our Model Library lately, you might have noticed that we have a nice little example model that demonstrates the use of a Markov process to simulate daily rainfall. You need to specify some key statistical inputs that have some basis on historic data. How do you develop these inputs? How do you know if the Markov model is realistic? I thought it would be helpful to show how this simple example might be applied in a real-world project and try to answer those questions.

*Note that I made changes to the results on 5/20/2016 after I used GoldSim's optimization function to better calibrate the rate variability.