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This dataset contains monthly crop irrigation requirement (CIR) values from March 1940 through 2014 for the 20 virtual land-use units, including the seven canal service units, in the Rio Grande Transboundary Integrated Hydrologic Model (RGTIHM). CIR values are presented in units of feet per day.
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This point vector dataset represents 10 climate stations used for analysis of annual and seasonal precipitation, analysis of monthly measured reference evapotranspiration, and comparison of simulated potential evapotranspiration with measured reference evapotranspiration within the Rio Grande transboundary integrated hydrologic model and water-availability analysis, New Mexico and Texas, United States, and Northern Chihuahua, Mexico.
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This dataset contains monthly pumping rates for municipal and industrial (MnI) wells in New Mexico within the Rio Grande Transboundary Integrated Hydrologic Model (RGTIHM). In RGTIHM, these wells are considered the Other New Mexico (ONM) group. Monthly pumping rates are presented in units of cubic feet per day for the period from March 1940 through December 2014.
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This dataset includes the audio-magnetotelluric (AMT) sounding data collected in 2009 in and near the San Luis Basin, New Mexico. The U.S. Geological Survey conducted a series of multidisciplinary studies, including AMT surveys, in the San Luis Basin to improve understanding of the hydrogeology of the Santa Fe Group and the nature of the sedimentary deposits comprising the principal groundwater aquifers of the Rio Grande rift. The shallow unconfined and the deeper confined Santa Fe Group aquifers in the San Luis Basin are the main sources of municipal water for the region. The population of the San Luis Basin region is growing rapidly and water shortfalls could have serious consequences. Future growth and land management...
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This dataset includes the audio-magnetotelluric (AMT) sounding data collected in 2009 in and near the San Luis Basin, New Mexico. The U.S. Geological Survey conducted a series of multidisciplinary studies, including AMT surveys, in the San Luis Basin to improve understanding of the hydrogeology of the Santa Fe Group and the nature of the sedimentary deposits comprising the principal groundwater aquifers of the Rio Grande rift. The shallow unconfined and the deeper confined Santa Fe Group aquifers in the San Luis Basin are the main sources of municipal water for the region. The population of the San Luis Basin region is growing rapidly and water shortfalls could have serious consequences. Future growth and land management...
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This dataset includes the audio-magnetotelluric (AMT) sounding data collected in 2009 in and near the San Luis Basin, New Mexico. The U.S. Geological Survey conducted a series of multidisciplinary studies, including AMT surveys, in the San Luis Basin to improve understanding of the hydrogeology of the Santa Fe Group and the nature of the sedimentary deposits comprising the principal groundwater aquifers of the Rio Grande rift. The shallow unconfined and the deeper confined Santa Fe Group aquifers in the San Luis Basin are the main sources of municipal water for the region. The population of the San Luis Basin region is growing rapidly and water shortfalls could have serious consequences. Future growth and land management...
Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: AMT, Cerro, Cerro De La Olla, GGGSC, GPS measurement, All tags...
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Publicly available geospatial data were identified, collated, and analyzed for a region of karst terrain extending from Albany to Buffalo, New York. A series of geospatial datasets were assembled to determine the location and extent of karstic rock; bedrock geology and depth to bedrock; average water-table configuration; surficial geology; soil type, thickness, and hydraulic conductivity; land cover; and closed depressions in the land surface First release: 2021 Revised: July 2022 (ver. 2.0) Revised: October 2022 (ver. 3.0) Revised: January 2024 (ver. 4.0)
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Groundwater from the Mississippi River Valley alluvial aquifer (MRVA) is a vital resource for agriculture and drinking-water supplies in the central United States. Water availability can be limited in some areas of the aquifer by high concentrations of trace elements, including manganese and arsenic. Boosted regression trees, a type of ensemble-tree machine-learning method, were used to predict manganese concentration and the probability of arsenic concentration exceeding a 10 µg/L threshold throughout the MRVA. Explanatory variables for the BRT models included attributes associated with well location and construction, surficial variables (such as hydrologic position and recharge), variables extracted from a MODFLOW-2005...
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This dataset is the raster, in feet, of the potentiometric-surface map, spring 2018, Mississippi River Valley alluvial (MRVA) aquifer. The raster cell size is 1,000 meters; the raster altitude data was referenced to the North American Vertical Datum of 1988 (NAVD 88). The raster was interpolated using (1) most of the available groundwater-altitude data from wells and surface-water-altitude data from streamgages, and (2) potentiometric-surface contours.
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The U.S. Geological Survey in cooperation with the New York State Department of Environmental Conservation, the Tug Hill Commission, the Jefferson County Soil and Water Conservation District, the Oswego County Soil and Water Conservation District, and the Tug Hill Land Trust studied the northern and central parts of the Tug Hill glacial aquifer to help communities make sound decisions about the groundwater resource. This child item dataset contains locations of water level contours for the northern and central parts of the Tug Hill aquifer.
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A revision to the hydrogeologic framework of the Virginia coastal plain southwest of the James River was developed by USGS during 2019-2021. This revision includes modifications to existing understanding of the groundwater system in Prince George, Surry, Sussex, Isle of Wight, and Southampton counties and the cities of Franklin and Suffolk in southeast Virginia. This USGS data release contains a csv file of interpreted borehole hydrogeologic-unit top-surface altitudes, a shapefile of the study area extent, a shapefile of faults within the study area, shapefiles of altitude contours for 12 hydrogeologic-unit top surfaces, shapefiles of hydrogeologic-unit margins for 10 hydrogeologic-units in the coastal plain of...
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A digital representation of closed depression features overlying and adjacent to New York’s carbonate-bedrock aquifers. Includes closed depressions that are both natural and anthropogenic in origin. The features were derived from a digital contour database obtained from https://topotools.cr.usgs.gov/contour_data.php. The original contour dataset was generated from the National Elevation Dataset (NED) and the National Hydrography Dataset (NHD) in a fully automated process. The process is described in U.S. Geological Survey Scientific Investigations Report 2012–5167.
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This dataset contains monthly crop irrigation requirement (CIR) values from 1938 through 2014 for six canal service units used in the Lower Rio Grande Basin groundwater flow model (SSPA, 2007). CIR values from 1938 through 2010 were extracted from the New Mexico Office of the State Engineer’s (NMOSE’s) Canal spreadsheet, version 11.2 (Barroll, P., NMOSE, written commun., 2011). CIR values from 2011 through 2014 were copied from a year within the 1938 through 2010 dataset with a similar total annual precipitation as recorded at the State University, NM US station, part of the National Oceanic and Atmospheric Administration (NOAA) National Climatic Data Center (NCDC) Global Historical Climatology Network (GHCND) (NCDC,...
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This data release contains compiled historical groundwater-withdrawal data for the Coastal Lowlands Aquifer System in Texas, Louisiana, Mississippi, Alabama, and Florida from 1925 to 2018. Most groundwater-withdrawals were distributed to groundwater wells and separated into water-use categories of industrial, production wells, power generation, mining, domestic, irrigation, livestock or commercial. Groundwater-withdrawal data were obtained, where available, from existing database resources hosted by various State and Federal agencies. For Texas, data were obtained from the Texas Water Development Board (TWDB) from both existing Groundwater Availability Models (GAM), and from historical groundwater-withdrawal data....
Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Acadia Parish, Adams County, Alabama, Allen Parish, Amite County, All tags...
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This dataset documents the depth to groundwater measured in wells screened in the Chicot, Evangeline, and Jasper aquifers in the Houston‐Galveston region, Texas for 2020. The U.S. Geological Survey prepared this dataset in cooperation with the Harris‐Galveston Subsidence District, City of Houston, Fort Bend Subsidence District, Lone Star Groundwater Conservation District, and Brazoria County Groundwater Conservation District. This dataset was created to provide resource managers, public officials, researchers, and the general public with ready access to information regarding depths to groundwater in the region. All of the data in this dataset were collected from December 2019 through March 2020 and are stored in...
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This dataset documents the depth to groundwater measured in wells screened in the Chicot aquifer, Evangeline aquifer, Jasper aquifer, Burkeville confining unit, Catahoula confining system, or a combination of multiple hydrogeologic units in the greater Houston area, Texas for 2021. The U.S. Geological Survey prepared this dataset in cooperation with the Harris‐Galveston Subsidence District, City of Houston, Fort Bend Subsidence District, Lone Star Groundwater Conservation District, and Brazoria County Groundwater Conservation District. This dataset was created to provide resource managers, public officials, researchers, and the general public with ready access to information regarding depths to groundwater in the...
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This dataset documents depth to groundwater measurements made from wells screened in the Chicot aquifer, Evangeline aquifer, Jasper aquifer, Burkeville confining unit, Catahoula confining unit, or a combination of these hydrogeologic units in the greater Houston area, Texas for 2023. The U.S. Geological Survey (USGS) prepared this dataset in cooperation with the Harris‐Galveston Subsidence District, City of Houston, Fort Bend Subsidence District, Lone Star Groundwater Conservation District, and Brazoria County Groundwater Conservation District. This dataset was created to provide resource managers, public officials, researchers, and the general public with ready access to information regarding depths to groundwater...
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This dataset contains surface-water-altitude (SWA) data from streamgages that was used or considered to create a potentiometric-surface map for the Mississippi River Valley alluvial (MRVA) aquifer for spring 2018. The surface-water-altitude data was referenced to the North American Vertical Datum of 1988 (NAVD 88). The streamgages are measured continuously. The streamgage measurement that was used was from early April 2018 and is an estimate of the groundwater altitudes at the gage location. The resultant potentiometric-surface contours and raster represents the generalized central tendency for spring 2018, but it would not be useful for some purposes, such as for calibration of a groundwater-flow model for early...


map background search result map search result map Audiomagnetotelluric sounding data, stations 1-9, Taos Plateau Volcanic Field, New Mexico, 2009 Audiomagnetotelluric sounding data, station 7, Taos Plateau Volcanic Field, New Mexico, 2009 Audiomagnetotelluric sounding data, station 9, Taos Plateau Volcanic Field, New Mexico, 2009 Climate Stations for the Rio Grande transboundary integrated hydrologic model and water-availability analysis, New Mexico and Texas, United States, and Northern Chihuahua, Mexico Faults and Dikes for the Rio Grande transboundary integrated hydrologic model and water-availability analysis, New Mexico and Texas, United States, and Northern Chihuahua, Mexico Canal Balance CIR RGTIHM CIR Other New Mexico Wells: Municipal and Industrial Monthly Pumping Rates for the Rio Grande transboundary integrated hydrologic model and water-availability analysis, New Mexico and Texas, United States, and Northern Chihuahua, Mexico Other Texas Wells Data Source: Municipal and Industrial Monthly Pumping Rates for the Rio Grande transboundary integrated hydrologic model and water-availability analysis, New Mexico and Texas, United States, and Northern Chihuahua, Mexico Digital Contour Database of Closed Depressions Groundwater-withdrawal data from the Coastal Lowlands Aquifer System in parts of Texas, Louisiana, Mississippi, Alabama, and Florida, 1925-2018 b_Surface_WaterPts Surface-water-altitude data, from streamgages, considered for the potentiometric-surface map, Mississippi River Valley alluvial aquifer, spring 2018 d1_Pot2018RasterFt Potentiometric surface, Mississippi River Valley alluvial aquifer, spring 2018, raster format, in feet Geospatial Data to Assess Karst Aquifer Systems Between Albany and Buffalo, New York (ver. 4.0, January 2024) Depth to Groundwater Measured from Wells Completed in the Chicot, Evangeline, and Jasper Aquifers, Houston-Galveston Region, Texas, 2020 Machine-learning model predictions and rasters of arsenic and manganese in groundwater in the Mississippi River Valley alluvial aquifer Tug Hill Glacial Aquifer Water Level Contours Depth to Groundwater Measured from Wells Completed in the Chicot and Evangeline (Undifferentiated) and Jasper Aquifers, Greater Houston Area, Texas, 2021 Shapefiles of hydrogeologic unit extents and top-surface altitude contours used in the revised hydrogeologic framework for the Virginia Coastal Plain Southwest of the James River Depth to Groundwater Measured from Wells in the Greater Houston Area, Texas, 2023 Audiomagnetotelluric sounding data, stations 1-9, Taos Plateau Volcanic Field, New Mexico, 2009 Tug Hill Glacial Aquifer Water Level Contours Shapefiles of hydrogeologic unit extents and top-surface altitude contours used in the revised hydrogeologic framework for the Virginia Coastal Plain Southwest of the James River Depth to Groundwater Measured from Wells Completed in the Chicot, Evangeline, and Jasper Aquifers, Houston-Galveston Region, Texas, 2020 Depth to Groundwater Measured from Wells in the Greater Houston Area, Texas, 2023 Depth to Groundwater Measured from Wells Completed in the Chicot and Evangeline (Undifferentiated) and Jasper Aquifers, Greater Houston Area, Texas, 2021 Climate Stations for the Rio Grande transboundary integrated hydrologic model and water-availability analysis, New Mexico and Texas, United States, and Northern Chihuahua, Mexico Faults and Dikes for the Rio Grande transboundary integrated hydrologic model and water-availability analysis, New Mexico and Texas, United States, and Northern Chihuahua, Mexico Canal Balance CIR RGTIHM CIR Other New Mexico Wells: Municipal and Industrial Monthly Pumping Rates for the Rio Grande transboundary integrated hydrologic model and water-availability analysis, New Mexico and Texas, United States, and Northern Chihuahua, Mexico Other Texas Wells Data Source: Municipal and Industrial Monthly Pumping Rates for the Rio Grande transboundary integrated hydrologic model and water-availability analysis, New Mexico and Texas, United States, and Northern Chihuahua, Mexico Geospatial Data to Assess Karst Aquifer Systems Between Albany and Buffalo, New York (ver. 4.0, January 2024) Digital Contour Database of Closed Depressions b_Surface_WaterPts Surface-water-altitude data, from streamgages, considered for the potentiometric-surface map, Mississippi River Valley alluvial aquifer, spring 2018 d1_Pot2018RasterFt Potentiometric surface, Mississippi River Valley alluvial aquifer, spring 2018, raster format, in feet Machine-learning model predictions and rasters of arsenic and manganese in groundwater in the Mississippi River Valley alluvial aquifer Groundwater-withdrawal data from the Coastal Lowlands Aquifer System in parts of Texas, Louisiana, Mississippi, Alabama, and Florida, 1925-2018