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Extending the capture map concept to estimate discrete and risk-based streamflow depletion potential

January 25, 2021

A popular and contemporary use of numerical groundwater models is to estimate the discrete relation between groundwater extraction and surface-water/groundwater exchange. Previously, the concept of a “capture map” has been put forward as a means to effectively summarize this relation for decision-making consumption. While capture maps have enjoyed success in the environmental simulation industry, they are deterministic, ignoring uncertainty in the underlying model. Furthermore, capture maps are not typically calculated in a manner that facilitates analysis of varying combinations of extraction locations and/or reaches. That is, they are typically constructed with focus on a single reach or group of reaches. The former of these limitations is important for conveying risk to decision makers and stakeholders, while the latter is important for decision-making support related to surface-water management, where future foci may include reaches that were not the focus of the original capture analysis. Herein, we use the concept of a response matrix to generalize the theory of the capture-map approach to estimate spatially discrete streamflow depletion potential. We also use first-order, second-moment uncertainty estimation techniques with the concept of “risk shifting” to place capture maps and streamflow depletion potential in a stochastic, risk-based framework. Our approach is demonstrated for an integrated groundwater/surface-water model of the lower San Antonio River, Texas, USA.

Citation Information

Publication Year 2021
Title Extending the capture map concept to estimate discrete and risk-based streamflow depletion potential
DOI 10.1111/gwat.13080
Authors Jeremy T. White, Linzy K. Foster, Michael N. Fienen
Publication Type Article
Publication Subtype Journal Article
Series Title Groundwater
Series Number
Index ID 70221891
Record Source USGS Publications Warehouse
USGS Organization Oklahoma-Texas Water Science Center