Repository for working with Tree-based ML algorithms on finding potential monitoring locations in a groundwater basin using the inherent tree feature importance.
We use the USGS MODFLOW-2005 model to generate synthetic hydraulic head a nd streamflow values for testing. We useflopy to generate inputs and run the MODFLOW model. The code for this is in the mf_notebooks folder. There are 3 scenarios: a simple steady state run, a transient scenario with constant pumping, and a transient scenario with seasonal pumping.
The notebooks in this directory house the Tree-based ML algorithm iimplementation (usingsklean) for training and testing code blocks for each of the 3 scenarios.
treefuncs.py is a utility file that has useful functions for running and plotting results.
11/7/24 - Requirements.txt added for conda enviornmentPrimary package versions used:flopy=3.3.4numpy=1.24.3pandas=1.3.4scikit-learn=1.2.2