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Quantifying the Impact of Climate and Management Strategies on Groundwater Conservation in the High Plains Aquifer using the DSSAT-MODFLOW Modeling Framework

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Type:	Resource
Storage:	The size of this resource is 1.1 GB
Created:	Sep 04, 2022 at 10:05 p.m.
Last updated:	Feb 19, 2023 at 7:18 p.m.
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Content types:	Single File Content

Sharing Status:	Public
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Abstract

A hdyro-agronomic modeling framework, also referred as to DSSAT-MODFLOW, was developped to quatify alternative management strategies conducive to both groundwater management and crop production sustainability in groundwater-based irrigated regions. The modeling framework links the DSSAT model with MODFLOW, with one DSSAT simulation for each cultivated field within the MODFLOW aquifer modeling domain. Linkage occurs on an annual basis, with DSSAT-simulated irrigation depths and deep percolation coverted to pumping and recharge rates for MODFLOW, respectively. Saturated thickness simulated by MODFLOW constrains pumping rates, irrigation depths, and timing for each pumping well. The modeling framework can be applied for different temporal and spatial scales.

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Coverage

Spatial

Coordinate System/Geographic Projection:

WGS 84 EPSG:4326

Coordinate Units:

Decimal degrees

Place/Area Name:

Finney County

North Latitude

38.2646°

East Longitude

-100.2283°

South Latitude

37.7447°

West Longitude

-101.1063°

Temporal

Start Date:
End Date:

Content

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Related Resources

This resource is described by

https://doi.org/10.1016/j.agwat.2020.106033

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

Contributors

People or Organizations that contributed technically, materially, financially, or provided general support for the creation of the resource's content but are not considered authors.

Name	Organization	Address
Soheil Nozari	Colorado State University	CO, US
Zachary T. Zambreski	Kansas State University
Ryan T. Bailey	Colorado State University
Isaya Kisekka	University of California, Davis
Zainab Husain	University of California, Davis
Prasanna Gowda	Grazinglands Research Laboratory	EI Reno, OK
Vaishali Sharda	Kansas State University
Xiaomao Lin	Kansas State University

How to Cite

Xiang, Z., R. T. Bailey, S. Nozari, I. Kisekka, Z. Husain, P. Gowda, Z. T. Zambreski, V. Sharda, X. Lin (2023). Quantifying the Impact of Climate and Management Strategies on Groundwater Conservation in the High Plains Aquifer using the DSSAT-MODFLOW Modeling Framework, HydroShare, http://www.hydroshare.org/resource/bd0dda33f4814bfc9265f46d282aa321

This resource is shared under the Creative Commons Attribution-NoCommercial-ShareAlike CC BY-NC-SA.

http://creativecommons.org/licenses/by-nc-sa/4.0/

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