RF_GWL_projections_management

Authors:
Soheil NozariRyan Bailey
Owners: Soheil Nozari
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Type: Resource
Storage: The size of this resource is 671.4 MB
Created: Feb 16, 2022 at 3:21 a.m.
Last updated: Feb 16, 2022 at 4:28 a.m.
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Sharing Status: Public
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Abstract

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.

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Related Resources

This resource belongs to the following collections:
Title Owners Sharing Status My Permission
RF_Model_Finney_County Soheil Nozari  Public &  Shareable Open Access
RF_Model_Finney_County Soheil Nozari  Private &  Shareable None
RF_Model_Finney_County Nafyad Kawo  Private &  Shareable None

Credits

Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
National Institute of Food and Agriculture, U.S. Department of Agriculture Sustaining agriculture through adaptive management to preserve the Ogallala aquifer under a changing climate 2016-68007-25066

How to Cite

Nozari, S., R. Bailey (2022). RF_GWL_projections_management, HydroShare, http://www.hydroshare.org/resource/604678a2ccc54df6ace3aebea2170fe9

This resource is shared under the Creative Commons Attribution CC BY.

 http://creativecommons.org/licenses/by/4.0/
CC-BY

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