Filters: Tags: {"type":"USGS Scientific Topic Keyword"} (X) > partyWithName: Andre B Ritchie (X)
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The Rio Grande Transboundary Integrated Hydrologic Model (RGTIHM), which was originally developed by Hanson and others (2020) (https://doi.org/10.3133/sir20195120), was updated and recalibrated to minimize the biases in RGTIHM’s simulation of streamflow and to incorporate new estimates of historical agricultural consumptive use in the study area. The RGTIHM was developed through an interagency effort between the U.S. Geological Survey (USGS) and the Bureau of Reclamation (Reclamation) to provide a tool for analyzing the hydrologic system response to the historical (March 1940 through 2014) evolution of water use and potential changes in water supplies and demands in the Hatch Valley (also known as Rincon Valley...
Digital hydrologic and geospatial data for the Rio Grande transboundary integrated hydrologic model and water-availability analysis, New Mexico and Texas, United States, and Northern Chihuahua, Mexico
The U.S. Geological Survey (USGS) National Extent Hydrogeologic Framework for National Water Census (NEHF) project is a multi-year effort (2022 through 2025) that will compile existing assets (approaches, data, software, etc.), develop a strategic plan, and implement an operational framework that is dynamic and multi-scale. Within the USGS, numerical groundwater-flow and solute- and heat-transport models have been created for a variety of purposes that include water-resource assessments, contaminant-transport evaluations, and water-management planning. These models are often supported by hydrogeologic-framework studies that describe the surface and subsurface distribution of geologic materials and their hydrologic...
Categories: Data;
Tags: Hydrology,
USGS Science Data Catalog (SDC),
United States,
geoscientificInformation,
groundwater flow,
This U.S. Geological Survey (USGS) data release presents the geospatial data used to assess the hydrologic resources and the potential effects from oil and gas development in the Bureau of Land Management Tri-County Planning Area, Sierra, Doña Ana, and Otero Counties, New Mexico. Publicly available data were used to assess these resources and effects and to identify data gaps in the Tri-County planning area. These data support the following publication: Blake, J.M., Miltenberger, K.E., Stewart, A.M., Ritchie, A.B., Montoya, J., Durr, C., McHugh, A.R., and Charles, E.G., in press, Assessment of Water Resources and the Potential Effects from Oil and Gas Development in the Bureau of Land Management Tri-County Planning...
This data release contains a geospatial database related to a digital 3D geologic framework of the Rio San Jose watershed, New Mexico. The geospatial database contains two main data elements: (1) input data to the 3D framework model; (2) interpolated elevations and thicknesses of stratigraphic units as a cellular array. Input surface and subsurface data for 18 stratigraphic units have been condensed to points that define the elevation of the top of each stratigraphic unit; these point data sets serve as the digital input to the framework model. The point data are derived from geologic maps, cross sections, oil and gas wells, water wells, structure contour maps, and thickness maps. Additional input geologic features...
This data release contains six historical and projected production well pumping scenarios from January 1, 1900 through March 15, 2141 for the Middle Rio Grande Basin, Albuquerque and vicinity, New Mexico. The production well pumping rates and source of these rates are included as tabular files. Tabular files are also included that define the time period over which these rates are applicable, and the location (layer, row, and column) of each well within the Middle Rio Grande Basin groundwater-flow model of McAda and Barroll (2002). This data release also includes tabular files summarizing historical metered production well pumping, and return-flow credit accounting used to estimate future pumping by the City of Rio...
The Rio San Jose Integrated Hydrologic Model (RSJIHM) is a sequentially linked, integrated hydrologic model utilizing the Precipitation-Runoff Modeling System (PRMS) (version 5.2.0) and MODFLOW-NWT (version 1.2.0) that was developed to provide a tool for analyzing the hydrologic system response to historical water use and potential changes in water supplies and demands in the Rio San Jose Basin. PRMS and MODFLOW-NWT were run uncoupled using the U.S. Geological Survey developed GSFLOW executable (version 2.2.0). The study area encompasses about 6,300 square miles in west-central New Mexico and includes the communities of Grants, Bluewater, and San Rafael and three Native American tribal lands: the Acoma and Laguna...
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