Extending the capture map concept to estimate discrete and risk-based streamflow depletion potential
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Abstract
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.
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | Extending the capture map concept to estimate discrete and risk-based streamflow depletion potential |
| Series title | Groundwater |
| DOI | 10.1111/gwat.13080 |
| Volume | 59 |
| Issue | 4 |
| Year Published | 2021 |
| Language | English |
| Publisher | Wiley |
| Contributing office(s) | Oklahoma-Texas Water Science Center |
| Description | 10 p. |
| First page | 571 |
| Last page | 580 |
| Google Analytic Metrics | Metrics page |