RF_GWL_projections_management

This repository includes all the Python programming language scripts developed for long-term groundwater level projections in Finney County in southwest Kansas under 5 different well retirement plans and 2 climate scenarios (wet and dry). The Scikit-learn library is used to construct the RF model and the ArcPy package is utilized for all geospatial and geostatistical analyses.
The repository also includes all required data for running the scripts. All the scripts and data are uploaded as a single 7z file.
To project future GWLs for each retirement plan, initially change the home folder pathname in all 3 included python scripts, namely \"all_calculations_in_arcpy.py\", \"projecting_water_level_variations_2017_2099_using_RF.py\", and \"removing_redundant_rasters.py\". Then, run the \"projecting_water_level_variations_2017_2099_using_RF.py\" file.