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Abstract: Application of the Python Crop-Hydrological Agent-Modeling Platform (PyCHAMP) to Simulate Human-Water Dynamics Under Synthetic Drought Conditions in the High Plains Aquifer (AGU25)

Application of the Python Crop-Hydrological Agent-Modeling Platform (PyCHAMP) to Simulate Human-Water Dynamics Under Synthetic Drought Conditions in the High Plains Aquifer

Fahad Khadim, University of Kansas, Lawrence, KS, United States, Maria Elena Orduna Alegria, University of Kansas, Civil and Environmental Engineering, Lawrence, United States, Chung-Yi Lin, Virginia Polytechnic Institute and State University, Department of Civil and Environmental Engineering, Blacksburg, United States, Wayne Ndlovu, Smith College, Northampton, MA, United States, Landon Marston, Virginia Tech, Department of Civil and Environmental Engineering, Blacksburg, United States and Sam C Zipper, University of Kansas, Kansas Geological Survey, Lawrence, United States
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