A GIS-Based Framework to Identify Opportunities to Use Surface Water to Offset Groundwater Withdrawals
Abstract
The over-use of groundwater is an increasing issue even in regions of the U.S. traditionally characterized by abundant rainfall and surface water. Part of the groundwater withdrawals in these regions can potentially be replaced by surface water, and quantitative spatial analysis to demonstrate this potential may help to spur policy changes. However, one challenge for this type of spatial analysis is the lack of groundwater withdrawal data at the watershed scale. For example, estimates of groundwater withdraw are only available at the county-level for most of the U.S., which is not granular enough to be useful for local management decisions. The present study developed a GIS-based framework for spatially disaggregating available groundwater withdrawal information based on ancillary information such as the well's minimum casing diameter. This information was used to identify potential opportunities where surface water could be used to offset groundwater withdrawals. The application of this framework to irrigation water demand in the state of Louisiana shows that a significant fraction of groundwater withdrawals can potentially be offset by available surface water. This basic framework can be complemented with additional considerations such as the availability of surface water to more fully evaluate water management scenarios.
Recommended Citation
J. Chen et al., "A GIS-Based Framework to Identify Opportunities to Use Surface Water to Offset Groundwater Withdrawals," Water Resources Management, vol. 33, no. 9, pp. 3227 - 3237, Springer Netherlands, Jul 2019.
The definitive version is available at https://doi.org/10.1007/s11269-019-02298-5
Department(s)
Geosciences and Geological and Petroleum Engineering
Research Center/Lab(s)
Center for Research in Energy and Environment (CREE)
Keywords and Phrases
Dasymetric mapping; Disaggregation; GIS; Groundwater withdrawal; Proximity analysis
International Standard Serial Number (ISSN)
0920-4741; 1573-1650
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2019 Springer Netherlands, All rights reserved.
Publication Date
01 Jul 2019