MODFLOW-NWT model used to demonstrate extending the capture map concept to estimate discrete and risk-based streamflow depletion potential

A previously developed groundwater flow model (https://doi.org/10.5066/P9051RUT) was slightly modified to estimate the risk-based 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, 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 a MODFLOW-NWT groundwater/surface-water model of the lower San Antonio River, Texas, USA to demonstrate a technique to estimate risk-based and spatially discrete streamflow depletion potential. This USGS data release contains all of the input and output files for the simulations described in the associated journal article (https://doi.org/10.1111/gwat.13080)

Data and Resources

Field Value
accessLevel public
bureauCode {010:12}
catalog_@context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
catalog_describedBy https://project-open-data.cio.gov/v1.1/schema/catalog.json
identifier USGS:c9d2e5dc-df28-42e8-80e3-e7ebee2fb94e
metadata_type geospatial
modified 20210622
old-spatial -99.024988, 27.142820, -95.982679, 30.097665
publisher U.S. Geological Survey
publisher_hierarchy Department of the Interior > U.S. Geological Survey
resource-type Dataset
source_datajson_identifier true
source_hash 60f69bb9ed392d85e2d0f9b0fb31120f6ba3ff10
source_schema_version 1.1
spatial {"type": "Polygon", "coordinates": [[[-99.024988, 27.142820], [-99.024988, 30.097665], [ -95.982679, 30.097665], [ -95.982679, 27.142820], [-99.024988, 27.142820]]]}
theme {geospatial}
Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • amerigeo
  • amerigeoss
  • ckan
  • environment
  • flopy
  • geo
  • geoscientificinformation
  • geoss
  • goliad-county
  • groundwater
  • groundwater-model
  • inlandwaters
  • karnes-county
  • lower-san-antonio-river-watershed
  • modflow-nwt
  • national
  • north-america
  • pest
  • pyemu
  • texas
  • united-states
  • usgs-c9d2e5dc-df28-42e8-80e3-e7ebee2fb94e
  • usgsgroundwatermodel
  • wilson-county
isopen False
license_id notspecified
license_title License not specified
maintainer Oklahoma-Texas Water Science Center Chief
maintainer_email gs-w-tx_webmaster@usgs.gov
metadata_created 2025-11-20T22:07:09.039676
metadata_modified 2025-11-20T22:07:09.039681
notes A previously developed groundwater flow model (https://doi.org/10.5066/P9051RUT) was slightly modified to estimate the risk-based 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, 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 a MODFLOW-NWT groundwater/surface-water model of the lower San Antonio River, Texas, USA to demonstrate a technique to estimate risk-based and spatially discrete streamflow depletion potential. This USGS data release contains all of the input and output files for the simulations described in the associated journal article (https://doi.org/10.1111/gwat.13080)
num_resources 2
num_tags 24
title MODFLOW-NWT model used to demonstrate extending the capture map concept to estimate discrete and risk-based streamflow depletion potential