Itasca successfully identified a sample set of 50 from a population of 10,000 samples for analysis of representative net acid-generating potential as part of a waste-rock characterization study. The robust method for sample selection ensured that the entire population was well represented by the selected samples.
This course provides an overview of the Python programming language in Itasca software. The course covers major applications of Python to extend modeling capabilities with the Itasca codes through a number of applied examples.
Ms. Johnston recently graduated from the Colorado School of Mines with a Master’s degree in Hydrology. During her studies, she worked in collaboration with one of her professors to use geophysical and geochemical methods in the characterization of acid mine drainage entering a headwater mountain stream from an historic gold mine.
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