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Geospatial datasets developed for a hydrogeologic conceptual model of brine discharge to the Dolores River, Paradox Valley, Colorado Geospatial datasets were developed to estimate the altitude of the top of bedrock, altitude of the top of the Paradox salt, altitude of the water table in the alluvial aquifer, and the thickness and extent of saturated alluvium in the Paradox Valley in western Colorado. This study was completed by the U.S. Geological Survey (USGS) in cooperation with the Bureau of Reclamation for modeling of brine discharge to the Dolores River (Heywood and others, 2024; Paschke and others, 2024). One point dataset and 11 surfaces (shapefiles or rasters) are published in this data release. The point dataset (Paradox_well_data.zip) contains water-level and geologic data for groundwater, observation, test, and production wells in... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Colorado, Dolores River, Montrose County, Paradox Formation, Paradox Valley, All tags... USGS Science Data Catalog (SDC), Water Resources, bedrock surface, brine discharge, geoscientificInformation, groundwater model, saturated alluvium, water-table surface, Fewer tags Ephemeral Stream Channel Stability Data from the Grand Valley, Western Colorado, 2018-21 This U.S. Geological Survey (USGS) data release provides the data used to predict areas with the greatest probability of ephemeral stream channel instability on north side of the Grand Valley in western Colorado, during 2018-20. The USGS developed a method for automatically extracting channel cross-section geometry from existing remotely sensed terrain models. Based on estimated flood stage and surrogate streamflows, hydraulic characteristics were calculated. The channel geometries and hydraulic characteristics were used to estimate channel stability using a statistical model. Cross-section stabilities were determined from a stream channel stability assessment for a subset of 1,406 visited (field observed) locations... Tags: Colorado, Geomorphology, Grand Valley, USGS Science Data Catalog (SDC), United States, All tags... channel stability, environment, ephemeral streams, logistic regression, salinity, Fewer tags Public supply water use reanalysis for the 2000-2020 period by HUC12, month, and year for the conterminous United States The U.S. Geological Survey is developing national water-use models to support water resources management in the United States. Model benefits include a nationally consistent estimation approach, greater temporal and spatial resolution of estimates, efficient and automated updates of results, and capabilities to forecast water use into the future and assess model uncertainty. This data release contains data used in a machine learning model to estimate monthly water use for communities that are supplied by public-supply water systems in the conterminous United States for 2000-2020. This data release also contains associated scripts used to produce input features as well as model output values by 12-digit hydrologic... Categories: Data; Tags: Alabama, Arizona, Arkansas, California, Colorado, All tags... Connecticut, Delaware, District of Columbia, Florida, Georgia, Idaho, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, USGS Science Data Catalog (SDC), United States Geological Survey, Utah, Vermont, Virginia, Washington, Water Resources, West Virginia, Wisconsin, Wyoming, community water system, conterminous United States, drinking water, modeling, public supply, water availability, water supply and demand, water use, Fewer tags Groundwater level trends for 110 U.S. Geological Survey observation wells in the Delaware River Basin This data release contains groundwater level trend results from 110 U.S. Geological Survey (USGS) observation wells in and near the Delaware River Basin. Mean annual groundwater level elevations from water years 2000-2020 were computed from mean daily recorded groundwater levels and discretely measured groundwater levels. Both time series were analyzed using the Mann-Kendall test for monotonic trend and the Thiel-Sen slope. Wells are completed in both confined and unconfined aquifers. Data include well identification number, latitude, longitude, aquifer type, trend slopes and p-values for both mean annual time series at 110 wells. Categories: Data; Tags: Delaware River Basin, Delaware River Basin, Groundwater, USGS Science Data Catalog (SDC), Water Resources, All tags... environment, trends, Fewer tags Human Factors of Water Availability in the Delaware River Basin Human factors that influence water availability in the Basin were discovered by reviewing hundreds of published literature items and articles from the literature following an extensive keyword search. The different factors were drawn from reviewing the literature, and datasets to support the factor were researched across open data catalogs and the world wide web. Data related to the Human Factors project water availability sectors of agriculture, industrial, municipal, and those related to ecosystem services, tourism, or other uses can be found here. Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: USGS Science Data Catalog (SDC) Microbial source tracking for streams in Scott County, Iowa, 2023 Surface water samples (n = 33) were collected in fall of 2023 at stream sites in Scott County Iowa, USA and were analyzed for microbial source tracking markers by quantitative polymerase chain reaction at the Laboratory for Infectious Disease and the Environment (LIDE). Microbial source tracking markers identify fecal sources of contamination by detecting microbes that are specific to certain animals. Cooperators include Partners of Scott County Watersheds, Prairie Rivers of Iowa, and U.S. Department of Agriculture-Agricultural Research Service. Categories: Data; Tags: Iowa, Microbial source tracking, USGS Science Data Catalog (SDC), Water Quality, environment, All tags... microbes, Fewer tags Data Layers for the National Hydrologic Model, version 1.1 This U.S. Geological Survey (USGS) metadata release consists of 17 different spatial layers in GeoTIFF format. They are: 1) average water capacity (AWC.zip), 2) percent sand (Sand.zip), 3) percent silt (Silt.zip), 4) percent clay (Clay.zip), 5) soil texture (TEXT_PRMS.zip), 6) land use/land cover (LULC.zip), 7) snow values (Snow.zip), 8) summer rain values (SRain.zip), 9) winter rain values (WRain.zip), 10) leaf presence values (keep.zip), 11) leaf loss values (loss.zip), 12) percent tree canopy (CNPY.zip), 13) percent impervious surface (Imperv.zip), 14) snow depletion curve numbers (Snow.zip), 15) rooting depth (RootDepth.zip), 16) permeability values (Lithology_exp_Konly_Project.zip), and 17) water bodies. All... Categories: Data; Tags: Canada, average water capacity, boundaries, conterminous United States of America, geographic information systems (GIS), All tags... geoscientificInformation, hydrologic modeling, hydrologic response Units (HRUs), inLandWaters, interception, land cover, leaf loss, leaf presence, percent clay, percent sand, percent silt, Fewer tags Predictions and supporting data for network-wide 7-day ahead forecasts of water temperature in the Delaware River Basin Daily maximum water temperature predictions in the Delaware River Basin (DRB) can inform decision makers who can use cold-water reservoir releases to maintain thermal habitat for sensitive fish species. This data release contains the forcings and outputs of 7-day ahead maximum water temperature forecasting models that makes predictions at 70 river reaches in the upper DRB. The modeling approach includes process-guided deep learning and data assimilation (Zwart et al., 2023). The model is driven by weather forecasts and observed reservoir releases and produces maximum water temperature forecasts for the issue day (day 0) and 7 days into the future (days 1-7). In combination with data provided in Oliver et al. (2022),... Tags: NY, New York, PA, Pennsylvania, US, All tags... USGS Science Data Catalog (SDC), United States, Water Resources, deep learning, environment, forecast, hybrid modeling, inlandWaters, machine learning, modeling, reservoirs, streams, temperature, water, water resources, Fewer tags National Hydrologic Model's United States-Canada Transboundary Geospatial Fabric Parameter Database This metadata record documents a set of 118 comma delimited files and a data dictionary describing the inputs for the U.S. Geological Survey Precipitation Runoff Modeling System (PRMS) which is used to drive the National Hydrologic Model (NHM) for the United States-Canada transboundary domain. The National Hydrologic Model database contains parameters for hydrologic response units (HRUs) and stream segments needed to run the NHM. These parameters are generated using python scripts to process input datasets such as digital elevation models, soil maps, and land cover classifications. Many of the parameters were left at their default model value as they would need to be calibrated as part of the PRMS model development... Categories: Data; Tags: Canada, National Hydrologic Model, United States, environment, farming, All tags... health, hydrologic parameters, inlandWaters, watershed modeling, Fewer tags Parameter ensemble files required to run the Groundwater Nitrate Decision Support Tool for Wisconsin A groundwater Nitrate Decision Support Tool (GW-NDST) for wells in Wisconsin was developed to assist resource managers with assessing how legacy and possible future nitrate leaching rates, combined with groundwater lag times and potential denitrification, influence nitrate concentrations in wells (Juckem et al. 2024). The GW-NDST relies on an ensemble of calibrated parameters to make nitrate predictions and to estimate the uncertainty of those predictions. This data release contains all of the calibrated parameter files required to run the tool. The files are packaged in a single ZIP file. To run the tool, the ZIP package needs to be downloaded and extracted within the pest/ies_parameter_ensembles/ subdirectory... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: PEST, PESTPP-IES, USGS Science Data Catalog (SDC), Wisconsin, hydrology, All tags... mathematical modeling, parameter ensemble, uncertainty, Fewer tags Thermoelectric-power water use reanalysis for the 2008-2020 period by power plant, month, and year for the conterminous United States Previous work by the U.S. Geological Survey (USGS) developed models to estimate the amount of water that is withdrawn and consumed by thermoelectric power plants (Diehl and others, 2013; Diehl and Harris, 2014; Harris and Diehl, 2019 [full citations listed in srcinfo of the metadata file]). This data release presents a historical reanalysis of thermoelectric water use from 2008 to 2020 and includes monthly and annual water withdrawal and consumption estimates, thermodynamically plausible ranges of minimum and maximum withdrawal and consumption estimates, and associated information for 1,360 water-using, utility-scale thermoelectric power plants in the United States. The term “reanalysis” refers to the process of... Tags: Hydrology, USA, USGS Science Data Catalog (SDC), Water Resources, hydrology, All tags... power generation water use, water budget, water census, water supply and demand, water use, water-energy nexus, Fewer tags Long-term monotonic trends in annual groundwater metrics in the United States through 2020 The U.S. Geological Survey (USGS) Water Resources Mission Area (WMA) is working to address a need to understand where the Nation is experiencing water shortages or surpluses relative to the demand by delivering routine assessments of water supply and demand. A key part of these national assessments is identifying long-term trends in water availability, including groundwater and surface water quantity, quality, and use. This data release contains Mann-Kendall monotonic trend analyses for annual groundwater metrics at 39,964 wells located in the conterminous United States, Alaska, Hawaii, and Puerto Rico. The groundwater metrics include annual mean, maximum, and minimum water level and the timing of the annual... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Hydrology, USGS Science Data Catalog (SDC), United States, groundwater, trend, All tags... water availability, Fewer tags USGS monthly water balance model inputs and outputs for the conterminous United States, 1895-2020, based on ClimGrid data This NetCDF represents the monthly inputs and outputs from a United States Geological Survey water-balance model (McCabe and Wolock, 2011) for the conterminous United States for the period 1895-01-01 to 2020-12-31. The source data used to run the water balance model is based on the National Oceanic and Atmospheric Administration's(Vose and others, 2020) ClimGrid data for precipitation and temperature. This NetCDF contains the following monthly inputs: temperature (degrees Celsius) and precipitation (millimeters, mm) and the following outputs (all in mm): runoff, soil moisture storage, actual evapotranspiration, potential evapotranspiration, snow water equivalent, and snowfall. The spatial reference for this data... Tags: AIR TEMPERATURE, CONUS, Climatology, EVAPORATION, EVAPOTRANSPIRATION, All tags... FRESHWATER RUNOFF, Geography, Hydrology, POTENTIAL EVAPOTRANSPIRATION, PRECIPITATION, PRECIPITATION AMOUNT, RUNOFF, SNOW WATER EQUIVALENT, SOIL MOISTURE, USGS Science Data Catalog (SDC), Water Resources, actual evapotranspiration, conterminous United States, environment, geoscientificInformation, inlandWaters, liquid content of surface snow, liquid content of water, potential evapotranspiration, precipitation, precipitation amount, runoff amount, snow water equivalent, snowfall, snowfall amount, soil moisture storage, surface water runoff, temperature, water actual evaporation amount, water balance model, water potential evaporation amount, Fewer tags Radar-based field measurements of gage-height and surface velocity and resulting cross-sectional area and discharge from 80 U.S. Geological Survey streamgages for various locations in Texas, 2021–24 The U.S. Geological Survey (USGS), in cooperation with the Texas Department of Transportation (TxDOT), deployed RQ-30 surface velocimetry sensors (hereinafter referred to as “RQ-30 sensors”) made by Sommer Messtechnik to collect radar gage-height data, cross section area, surface velocity, learned surface velocity, discharge, and learned discharge at 80 streamgages located in stream reaches with varying hydrologic and hydraulic characteristics. Land-use types in the contributing drainage basins included agricultural, forest, mixed, and coastal, that are common in central, east, and southeast Texas. Many of the drainage basins and streams have relatively low gradients. To test the efficacy of the remote-sensing methods,... Tags: Central Texas, Discharge, Doppler, East Texas, Gage Height, All tags... Pulsed stage, RQ-30, Radar, Southeast Texas, Stream Velocity, Surface Velocity, Texas, USGS Science Data Catalog (SDC), Water Resources, climatologyMeteorologyAtmosphere, environment, inlandWaters, Fewer tags Monthly estimates of natural baseflow for 15,866 stream reaches, defined by the National Hydrography Dataset Plus Version 2.0 (NHDPlusV2), in the Delaware River Basin for the period 1950-2015 This metadata record describes monthly estimates of natural baseflow for 15,866 stream reaches, defined by the National Hydrography Dataset Plus Version 2.0 (NHDPlusV2), in the Delaware River Basin for the period 1950-2015. A statistical machine learning technique - random forest modeling (Liaw and Wiener, 2018; R Core Team, 2020) - was applied to estimate natural flows using about 150 potential predictor variables (Miller and others, 2018). Calibration data used for the random forest model are available from (Foks and others, 2020). Each model was run twice, first using all potential predictor variables, which represents a "full" model run, and a second time using the top 20 predictors from the original run, which... Categories: Data; Tags: Delaware, Delaware River Basin, Hydrology, National Hydrography Dataset Plus Version 2.0, New Jersey, All tags... New York, Pennsylvania, USGS Science Data Catalog (SDC), anthropogenic modification, baseflow, environmental impacts, geochemistry, geoscientificInformation, groundwater, hydrology, inlandWaters, natural flows, random forest modeling, random forests, river reaches, rivers/streams, streamflow, surface water hydrology, water resources, Fewer tags Geospatial Fabric for National Hydrologic Modeling, version 1.1 This U.S. Geological Survey (USGS) data release consists of two hydrographic datasets with spatial modeling units, two sets of spatial data consistent with the National Hydrologic Model (NHM) Geospatial Fabric for National Hydrologic Modeling (abbreviated within this document as GFv1, Viger and Bock, 2014), and a database of 118 parameters used to run the NHM . These datasets are found as subpages to this landing page as 1) the GIS (geographic information system) features of the United States-Canada Transboundary Geospatial Fabric (TGF, added 08/04/2020), 2) the GIS features of the Geospatial Fabric v1.1 (GFv1.1 or v1_1, added 08/04/2020) which is an update to the GF and includes the TGF, 3) Topographic derivative... Categories: Data, Data Release - Revised; Tags: Canada, Geographic Information Systems, Hydrologic Response Units, Hydrologic modeling, Points of Interest, All tags... Routing Network, USGS Science Data Catalog (SDC), United States, geoscientificInformation, inlandWaters, Fewer tags Metrics of Resilience in Water Management Institutions in the Upper Colorado and Delaware River Basins, United States 2022 The data in this data release are from an effort focused on understanding social vulnerability to water insecurity, resiliency demonstrated by institutions, and conflict or crisis around water resource management. This data release focuses on definitions and metrics of resilience in water management institutions. Water resource managers, at various scales, are tasked with making complex and time-sensitive decisions in the face of uncertainty, competing objectives, and difficult tradeoffs. To do this, they must incorporate data, tacit knowledge, cultural and organizational norms, and individual or institutional values in a way that maintains consistent and predictable operations under normal circumstances, while... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Delaware River Basin, Institutions, Resilience, USGS Science Data Catalog (SDC), Upper Colorado River Basin, All tags... Water Resources, decision support methods, inlandWaters, social sciences, water resource management, Fewer tags Public supply, self-supplied domestic, irrigation, and thermoelectric water-use data from 5-year compilation datasets from 1985 to 2015 used to assess data variability and uncertainty The U.S. Geological Survey (USGS) National Water Use Program is responsible for compiling and disseminating the Nation's water-use data. Working in cooperation with local, State, and Federal agencies, the USGS has published an estimate of water use in the United States every 5 years, beginning in 1950. These 5-year compilations contain water-use estimates that are aggregated to the county level in the United States. This USGS data release contains summaries of method codes used in the 2015 national compilation of public supply, self-supplied domestic, thermoelectric, and irrigation water-use data. This data release also contains the county-level water-use estimates that support the evaluations in Luukkonen and others... Tags: Puerto Rico, USGS Science Data Catalog (SDC), United States, Virgin Islands of the United States, Water Resources, All tags... domestic water use, environment, irrigation water use, public supply water use, thermoelectric power generation water use, water use, Fewer tags Compilation of the salient characteristics of numerical groundwater-flow and solute- and heat-transport models published or developed by the U.S. Geological Survey for regions in the U.S. and its territories and commonwealths, 1970 through 2022 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, All tags... hydrology, maps and atlases, mathematical modeling, Fewer tags Mine areas and feature data associated with using lidar and earth observation temporal analysis to explore and characterize uranium mining on the south Texas landscape Open pit uranium mining in Atascosa, Karnes, and Live Oak Counties in the Texas gulf coast region was active during the second half of the 20th century. Understanding the history of these mining operations is important for proper management and restoration. Although some mines have extensive records documenting the locations and extents of mining pits and mine waste-rock piles, and provide descriptions of reclamation activities, abandoned mines with little to no such documentation are present on the landscape. A multiple lines of evidence approach using lidar derivatives and multispectral remote sensing temporal analysis (Stengel, 2022) was developed to (1) identify uranium mine waste-rock, wastewater, and land... Tags: Atascosa County, Energy Resources, Google Earth Engine, Gulf Coast, Karnes County, All tags... Lidar, Live Oak County, Mining, Remote sensing, Texas, Time Series, United States, Uranium, Fewer tags 1 2 3 »