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Full-Text Articles in Physical Sciences and Mathematics
Econometric Estimation Of Groundwater Depth Change For The High Plains Aquifer, Jonathan R. Sims
Econometric Estimation Of Groundwater Depth Change For The High Plains Aquifer, Jonathan R. Sims
Department of Agricultural Economics: Dissertations, Theses, and Student Research
This article presents a new method for estimating changes in depth to groundwater at a yearly, county level and incorporates these estimates as the dependent variable of econometric models for the High Plains aquifer. The High Plains (Ogallala) aquifer underlies eight states in the central United States and is the primary source of irrigation water for this large food producing region. The stock of groundwater is a finite, non-renewable resource with minimal recharge in most areas. Many fields of study, including hydrology and agricultural economics, are interested in depth to groundwater changes because they serve as a proxy for estimating …
A Framework For Incorporating The Impact Of Water Quality On Water Supply Stress: An Example From Louisiana, David M. Borrok, Jian Chen, Hisham Eldardiry, Emad Habib
A Framework For Incorporating The Impact Of Water Quality On Water Supply Stress: An Example From Louisiana, David M. Borrok, Jian Chen, Hisham Eldardiry, Emad Habib
Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works
Water of poor quality can directly impact the budget of water available for key user groups. Despite this importance, methods for quantifying the impact of water quality on water availability remain elusive. Here, we develop a new framework for incorporating the impact of water quality on water supply by modifying the Water Supply Stress Index (WaSSI). We demonstrate the usefulness of the framework by investigating the impact of high salinity waters on the availability of irrigation water for agriculture in Louisiana. The WaSSI was deconstructed into sectoral components such that the total available water supply could be reduced for a …
Identifying Irrigated Areas In The Snake River Plain, Idaho: Evaluating Performance Across Composting Algorithms, Spectral Indices, And Sensors, Eric W. Chance, Kelly M. Cobourn, Valerie A. Thomas, Blaine C. Dawson, Alejandro N. Flores
Identifying Irrigated Areas In The Snake River Plain, Idaho: Evaluating Performance Across Composting Algorithms, Spectral Indices, And Sensors, Eric W. Chance, Kelly M. Cobourn, Valerie A. Thomas, Blaine C. Dawson, Alejandro N. Flores
Geosciences Faculty Publications and Presentations
There are pressing concerns about the interplay between agricultural productivity, water demand, and water availability in semi-arid to arid regions of the world. Currently, irrigated agriculture is the dominant water user in these regions and is estimated to consume approximately 80% of the world’s diverted freshwater resources. We develop an improved irrigated land-use mapping algorithm that uses the seasonal maximum value of a spectral index to distinguish between irrigated and non-irrigated parcels in Idaho’s Snake River Plain. We compare this approach to two alternative algorithms that differentiate between irrigated and non-irrigated parcels using spectral index values at a single date …