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MODFLOW-NWT groundwater flow model used to evaluate groundwater availability with five forecast scenarios in the Northern High Plains Aquifer in Colorado, Kansas, Nebraska, South Dakota, and Wyoming

February 23, 2022

This groundwater flow model used a previously developed three-dimensional groundwater flow model (https://doi.org/10.3133/sir20165153) was used to assess future groundwater availability in the Northern High Plains aquifer in Colorado, Kansas, Nebraska, South Dakota, and Wyoming. In this groundwater flow model, a modified version of a previously published soil-water-balance (SWB) model (https://doi.org/10.3133/sir20165153) estimates recharge and groundwater withdrawals for irrigation using climatic, soils, land-cover data. For this groundwater flow model, the SWB output was adjusted in areas where surface water is used for irrigation and adjusted the same as was done through calibration of the previously-developed groundwater flow model. The model was designed as a tool for regional evaluations of groundwater resources and of groundwater interactions with streams and other hydrologic features resulting from current or forecasted conditions. For this study, five forecast scenarios are included, a baseline forecast, two forecasts evaluating the effects of land use changes, and two forecast evaluating the effects of climatic changes. This USGS data release also includes MODFLOW-NWT (version 1.0.5) source code and SWB source code. This USGS data release contains all of the input and output files for the model described in the associated model documentation report (https://doi.org/10.3133/pp1864).

Publication Year 2022
Title MODFLOW-NWT groundwater flow model used to evaluate groundwater availability with five forecast scenarios in the Northern High Plains Aquifer in Colorado, Kansas, Nebraska, South Dakota, and Wyoming
DOI 10.5066/P92UNY4F
Authors Steven M Peterson, Jonathan P Traylor, Moussa Guira
Product Type Data Release
Record Source USGS Asset Identifier Service (AIS)
USGS Organization Nebraska Water Science Center
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