In:
Groundwater, Wiley, Vol. 59, No. 4 ( 2021-07), p. 571-580
Kurzfassung:
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.
Materialart:
Online-Ressource
ISSN:
0017-467X
,
1745-6584
Sprache:
Englisch
Verlag:
Wiley
Publikationsdatum:
2021
ZDB Id:
2066386-9
