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MODFLOW-NWT model of groundwater flow in the Ozark Plateaus aquifer system, version 1.1

Metadata Updated: July 6, 2024

A previously developed groundwater flow model (https://doi.org/10.3133/sir20185035) was modified and used as the primary tool to assess groundwater availability in the Ozark Plateaus aquifer system which is an important source for municipal, industrial, agricultural, and domestic water supply needs across much of southern Missouri and northern Arkansas, and smaller areas of southeastern Kansas and northeastern Oklahoma. The new model was developed to access changes in simulated hydrologic budget components at the regional scale to quantify hydrologic changes across the Ozark system. The model benefits current and future investigations that involve groundwater-withdrawal scenarios, optimization, particle transport, and monitoring network analysis. Recent short-term drought conditions have emphasized the need to better understand the delicate balance between abundance, sustainability and scarcity. The model also is critical to the ongoing work to quantify groundwater availability in the Ozark aquifer system. The groundwater model simulated 116 years (1900—2016) of historical hydrologic conditions, 45 years (2016-2060) of potential future hydrologic conditions, and the response of the groundwater system to changes in stress. Stress applied to the groundwater system included changes in recharge and increased groundwater withdrawals for water supply. Semi-seasonal stress periods were simulated from the later part of 1991 through 2060 to represent higher demand and lower recharge in the spring and summer months, and lower demand and higher recharge in the fall and winter months. Three scenarios were developed to simulate potential future conditions and assess the potential effects on the hydrologic system and availability of water resources. For each scenario, changes in water levels and hydrologic budget components were evaluated from predevelopment (1900) to present (2016), and 44 years into the future (2060). This USGS data release contains all of the input and output files for the model and the calibration and scenario simulations described in the associated professional paper (https://doi.org/10.3133/pp1854). This data release also includes (1) MODFLOW-NWT (v. 1.1.2) source code, (2) PEST++ source code, and (3) processing Python scripts and associated instruction files for parameter estimation and model calibration using PEST++.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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Dates

Metadata Created Date June 1, 2023
Metadata Updated Date July 6, 2024

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date June 1, 2023
Metadata Updated Date July 6, 2024
Publisher U.S. Geological Survey
Maintainer
@Id http://datainventory.doi.gov/id/dataset/7b2e9133273425934d81eb07d8f7e785
Identifier USGS:1523c64c-b5ca-447b-94cb-8dbed994fad4
Data Last Modified 20201117
Category geospatial
Public Access Level public
Bureau Code 010:12
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://datainventory.doi.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id 1cf346b1-7c72-4272-9d70-06eb68f62e1f
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -95.534385681155,34.636283874512,-89.19214630127,39.465435028076
Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Geological Survey
Source Datajson Identifier True
Source Hash 01afaceed43d2c5a067ad277ed4c4a4200774c5506629ad747e526b8ac1518d3
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -95.534385681155, 34.636283874512, -95.534385681155, 39.465435028076, -89.19214630127, 39.465435028076, -89.19214630127, 34.636283874512, -95.534385681155, 34.636283874512}

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