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This data release includes a polygon shapefile of grid cells attributed with values representing the simulated base-flow, evapotranspiration, and groundwater-storage depletions as a percentage of hypothetical well pumpage for the 2011-2060 time period. Depletions were simulated by the Phase-Three Elkhorn-Loup Model (ELM), constructed using MODFLOW-NWT (Niswonger and others, 2011). Each polygon represents one model grid cell, with pumping specified from either layer one or layer two of the model. All values are estimates and approximations. The phase three ELM simulated the High Plains aquifer in north-central Nebraska from predevelopment (pre-1895) through 2060 (Flynn and Stanton, 2018). The simulation was calibrated...
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The U.S. Geological Survey in cooperation with the Grand River Dam Authority completed a high-resolution multibeam bathymetric survey to compute a new capacity and surface-area table. The capacity and surface-area tables describe the relation between the elevation of the water surface and the volume of water that can be impounded at each given water-surface elevation. The capacity and surface area of Grand Lake O’ the Cherokees were computed from a Triangular Irregular Network (TIN) surface created in Global Mapper Version 21.0.1. The TIN surface was created from three datasets: (1) a multibeam bathymetric survey of Grand Lake O’ the Cherokees in 2019 (Hunter and others 2020), (2) a 2017 USGS bathymetric survey...
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A sensitivity analysis of groundwater-recharge estimates from a water-budget model was completed for the islands of Oahu and Maui, Hawaii (Johnson and others, 2023). Results of the sensitivity analysis were used to quantify the relative importance of selected model parameters to recharge estimates for three moisture zones (dry, mesic, and wet) on Oahu and Maui. This shapefile contains the boundaries of the moisture zones and boundaries of the model subareas that were used in the model simulations for Oahu. The shapefile attribute information includes the names of the land-cover types assigned to model subareas and the mean annual recharge values determined for the model subareas for the baseline scenario of the...
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Estimates of various low-flow statistics were computed at 71 ungaged stream locations throughout New Jersey during the 2017 water year using methods in the published reports, Streamflow Characteristics and Trends in New Jersey, Water Years 1897-2003 (U.S. Geological Survey Scientific Investigations Report 2005-5105) and Implementation of MOVE.1, Censored MOVE.1, and Piecewise MOVE.1 Low-Flow Regressions With Applications at Partial-Record Streamgages in New Jersey (U.S. Geological Survey Open File Report 2018-1089). The estimates are computed as needed for use in water resources permitting, assessment, and management by the New Jersey Department of Environmental Protection. The data release includes the stream name,...
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Estimates of various low-flow statistics were computed at 61 ungaged stream locations throughout New Jersey during the 2016 water year using methods in the report, Streamflow Characteristics and Trends in New Jersey, Water Years 1897-2003 (U.S. Geological Survey Scientific Investigations Report 2005-5105). The estimates are computed as needed for use in water resources permitting, assessment, and management by the New Jersey Department of Environmental Protection. The data release includes the stream name, location, method, and intended use of the low-flow statistics computed during the 2016 water year. The data are provided as both a plain text file and an ArcGIS shapfile format.
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In cooperation with the South Carolina Department of Transportation (SCDOT), the U.S. Geological Survey prepared geospatial layers illustrating the boundaries of the regions used in the South Carolina (SC) Stream Hydrograph Methods presented in Bohman (1990,1992). The region limits were described in written text and depicted in figures in Bohman (1990, 1992), but have not been provided as geospatial layers (due to the age of the original publications). This project used best-available geospatial data from the U.S. Environmental Protection Agency (USEPA) ecoregions (2013) to create equivalent geospatial representations of the Bohman (1990, 1992) region boundaries for the SC Stream Hydrograph Methods. These layers...
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As part of a collaborative study with the City of Raleigh, North Carolina, the U.S. Geological Survey is assessing streambank erosion potential in selected stream reaches throughout the Greater Raleigh metropolitan area. Rapid field measurement techniques were used to assess streambank stability at 124 stream segments between January and March 2022. Field data were collected using the Bank Erosion Hazard Index (BEHI) and Near Bank Stress (NBS) assessment methods (Rosgen, 2001; Rosgen and others, 2008) as well as the Rapid Geomorphic Assessment (RGA) method (Simon and others, 2007). This Data Release contains a dataset with all stream site information, field measurements, and streambank stability assessment results;...
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The U.S. Geological Survey collected field spectra collected from three rivers in Alaska September 19–21, 2016, to support research on remote sensing of river discharge. Reflectance measurements were made from bridges across the Chena River, Salcha River, and Montana Creek using an Analytical Spectral Devices FieldSpec3 spectroradiometer operated in reflectance mode. The original *.asd files are provided in this data release. This data release supports the following article: Legleiter, C.J., Kinzel, P.J., and Nelson, J.M., 2017, Remote measurement of river discharge using thermal particle image velocimetry (PIV) and various sources of bathymetric information: Journal of Hydrology, v. 554, p. 490-506, https://doi.org/10.1016/j.jhydrol.2017.09.004.
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This data release contains three data types that could potentially be used to infer spatiotemporal variability in groundwater discharge processes, along with other research and monitoring purposes: 1) Temporally continuous stream channel water temperature and adjacent streambank air temperature time series data (generally starting November 2020) as well as limited temperature data from May to October 2022 from select seeps and springs; 2) Discrete stable isotope data collected from stream water (May 2021, October/November 2021, May 2022, October/November 2022); and 3) Discrete dissolved radon gas data from stream water (collected May 2021 and May 2022). Data were collected at 51 temporary stations installed along...
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This data release contains a netCDF file containing decadal estimates of nitrate leached from septic systems (kilograms per hectare per year, or kg/ha) in the state of Wisconsin from 1850 to 2010, as well as the python code and supporting files used to create the netCDF file. The netCDF file is used as an input to a Nitrate Decision Support Tool for the State of Wisconsin (GW-NDST; Juckem and others, 2024). The dataset was constructed starting with 1990 census records, which included responses about households using septic systems for waste disposal. The fraction of population using septic systems in 1990 was aggregated at the county scale and applied backward in time for each decade from 1850 to 1980. For decades...
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This dataset has been archived; it has been superceded by version 2.0 (September 2021) which can be found at https://doi.org/10.5066/P9RUUR4L Data from 10-day sediment toxicity tests of bed sediments from the Buffalo River Area of Concern (AOC) and reference reaches on the Buffalo River upstream of the AOC, Erie County, New York, respectively. Specifically, the data was used to compare the survival and growth of two macroinvertebrate species in sediments from study sites and laboratory controls. Results are from 10-day sediment exposures of two test species, Chironomus dilutus and Hyalella azteca. Sediment samples were collected from 8 sites within the AOC and from 6 reference sites upstream of the AOC. Bed-sediments...
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The data contained within include high-water marks collected at 50 sites throughout the regions of New Jersey affected by significant flooding from Hurricane Ida during September of 2021. Each site contains between one to six associated high-water marks that were documented, photographed, and surveyed to datum. The datum represented by the elevations of the high-water marks is the North American Vertical Datum of 1988. All data (excluding photographs) associated with the high-water marks are contained within the data release associated with these metadata, as well as the USGS Short Term Network Flood Event Viewer (STN-FEV, U.S. Geological Survey (2021a)). Photographs can be found within the STN-FEV. A summary of...
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Bathymetric LiDAR data from the upper Sacramento River in northern California were acquired September 10-17, 2017, to support research on remote sensing of rivers, particularly mapping water depth, and to facilitate efforts to characterize salmon habitat conditions and geomorphic change along the upper Sacramento River. These data were collected using a Riefl VQ-880-Gairborne laser scanning system designed for combined hydrographic and topographic surveying. The flight was conducted by Quantum Spatial, Inc. (QSI); QSI also performed all processing of the raw LiDAR data. The data were acquired from fixed wing aircraft and were used to produce tiled point clouds in a .las format and interpolated topo-bathymetric...
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Multispectral satellite image data from the upper Sacramento River in northern California were acquired on October 18, 2017, to support research on remote sensing of rivers, particularly retrieval of water depth, and to facilitate efforts to characterize salmon habitat conditions and geomorphic change along the upper Sacramento River. These data were collected by the WorldView-3 (WV3) satellite, operated by DigitalGlobe and obtained through the EnhancedView license program administered by the National Geospatial-Intelligence Agency (NGA); the image data remain copyright of DigitalGlobe (2018). DigitalGlobe performed initial radiometric and geometric processing of the image. The data were acquired from the WorldView-3...
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Water samples were collected by the USGS National Water Quality Program (NWQP) Southeastern Stream Quality Assessment (SESQA) from 76 perennial, wadeable (less than 10 m width and 1 m depth at base-flow) headwater stream sites in watersheds with varying degrees of urban land use in four states. Dataset includes sample site locations and information, water sample nutrient concentrations and statistics analyses, and corresponding watershed land-use-land-cover data and data dictionary.
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Estimates of various low-flow statistics were computed at 66 ungaged stream locations throughout New Jersey during the 2021 water year using methods in the published reports, 1) Streamflow characteristics and trends in New Jersey, water years 1897-2003 (Watson and others, 2005) and 2) Implementation of MOVE.1, censored MOVE.1, and piecewise MOVE.1 low-flow regressions with applications at partial-record streamgaging stations in New Jersey (Colarullo and others, 2018). The estimates are computed as needed for use in water resources permitting, assessment, and management by the New Jersey Department of Environmental Protection. The data release includes the stream name, location, drainage area, method of estimation,...
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Estimates of various low-flow statistics were computed at 51 ungaged stream locations throughout New Jersey during the 2018 water year using methods in the published reports, Streamflow Characteristics and Trends in New Jersey, Water Years 1897-2003 (Watson and others, 2005) and Implementation of MOVE.1, Censored MOVE.1, and Piecewise MOVE.1 Low-Flow Regressions with Applications at Partial-Record Streamgages in New Jersey (Colarullo and others, 2018). The estimates are computed as needed for use in water resources permitting, assessment, and management by the New Jersey Department of Environmental Protection. The data release includes the stream name, location, method of estimation, drainage area, and intended...
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An unmanned aerial system was used to acquire hyperspectral image data from the upper Sacramento River in northern California on September 13, 2017, to support research on remote sensing of rivers, particularly retrieval of water depth, and to facilitate efforts to characterize salmon habitat conditions and geomorphic change along the upper Sacramento River. These data were collected by the Nano-Hyperspec imaging system, manufactured by Headwall Photonics, Inc. The flight was conducted by Headwall Photonics, Inc.; Headwall also performed the initial radiometric and geometric data processing. The data were acquired from a DJI Matrice M600 UAS and have a spatial resolution (pixel size) of 0.178 m. The data set consists...
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Relative-gravity data and absolute-gravity data were collected in the Sierra Vista Subwatershed, Upper San Pedro Basin, Arizona, in May–June 2014 and 2015. Data from 2014 and a description of the survey network were published in USGS Open-File Report 2015–1086. Data presented in the shapefile here are the following: (1) Network-adjusted values from 2015, (2) Gravity change from 2014 to 2015, and (3) Survey-grade coordinates obtained from a Global Positioning System (GPS) survey in 2015. 2015 data and network adjustment results are presented in Kennedy, J.R., 2016, Gravity change from 2014 to 2015, Sierra Vista Subwatershed, Upper San Pedro Basin, Arizona: U.S. Geological Survey Open–File Report 2016–1155, 15...
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Field measurements of riverbed grain size were collected from the Merced and Tuolumne Rivers in California to support research on anadromous salmonids. The grain size estimates included in this dataset were obtained from plan-view digital images of grains on exposed gravel and cobble bars (n = 109 for the Merced, n = 26 for the Tuolumne). The images were used to estimate grain-size distributions using the algorithm of Buscombe (2013). In this dataset we report the median grain size (D50), the 16th percentile (D16) and 84th percentile (D84). The spatial location of each measurement was obtained via a Trimble R10 RTK GPS receiver. The map projection and datum for these data from the Merced River are UTM Zone 11 N...
map background search result map search result map Gravity Change from 2014 to 2015, Sierra Vista Subwatershed, Upper San Pedro Basin, Arizona Field spectra from rivers in Alaska, September 19–21, 2016 Estimated low-flow statistics at ungaged stream locations in New Jersey, water year 2016 Nutrient concentrations, streamflow, and geospatial data for 76 wadeable streams in the Piedmont Ecoregion of the Southeastern United States UAS-based hyperspectral image data from the upper Sacramento River in northern California, September 13, 2017 Multispectral satellite image data from the upper Sacramento River in northern California, October 18, 2017 Bathymetric LiDAR data from the upper Sacramento River in northern California, September 10-17, 2017 Estimated low-flow statistics at ungaged stream locations in New Jersey, water year 2017 Percentage of Hypothetical Well Pumpage Causing Depletions to Simulated Base Flow, Evapotranspiration, and Groundwater Storage in the Elkhorn and Loup River Basins, 2011 through 2060 Data for Assessing the Status of Macroinvertebrate Communities and Sediment Toxicity in the Buffalo River Area of Concern, New York Estimated low-flow statistics at ungaged stream locations in New Jersey, water year 2018 Data release of Bathymetric Map, Surface Area, and Capacity of Grand Lake O' the Cherokees, Northeastern Oklahoma, 2019 Sediment grain size measurements from the upper Merced and Tuolumne Rivers in California Calculated Leached Nitrogen from Septic Systems in Wisconsin, 1850-2010 High-water marks in New Jersey following Hurricane Ida and associated floods, September 2021 Region Layers for USGS South Carolina Bohman Method Hydrograph in StreamStats Datasets for Rapid Assessment of Streambank Erosion Potential for Selected Streams throughout the Greater Raleigh Area, North Carolina, 2022 Estimated low-flow statistics at ungaged stream locations in New Jersey, water year 2021 Stream Temperature, Dissolved Radon, and Stable Water Isotope Data Collected along Headwater Streams in the Upper Neversink River Watershed, NY, USA (ver. 2.0, April 2023) Model subareas and moisture zones used in a sensitivity analysis of a water-budget model completed in 2022 for the island of Oahu, Hawaii UAS-based hyperspectral image data from the upper Sacramento River in northern California, September 13, 2017 Bathymetric LiDAR data from the upper Sacramento River in northern California, September 10-17, 2017 Data for Assessing the Status of Macroinvertebrate Communities and Sediment Toxicity in the Buffalo River Area of Concern, New York Multispectral satellite image data from the upper Sacramento River in northern California, October 18, 2017 Stream Temperature, Dissolved Radon, and Stable Water Isotope Data Collected along Headwater Streams in the Upper Neversink River Watershed, NY, USA (ver. 2.0, April 2023) Gravity Change from 2014 to 2015, Sierra Vista Subwatershed, Upper San Pedro Basin, Arizona Model subareas and moisture zones used in a sensitivity analysis of a water-budget model completed in 2022 for the island of Oahu, Hawaii Data release of Bathymetric Map, Surface Area, and Capacity of Grand Lake O' the Cherokees, Northeastern Oklahoma, 2019 Sediment grain size measurements from the upper Merced and Tuolumne Rivers in California Estimated low-flow statistics at ungaged stream locations in New Jersey, water year 2021 Estimated low-flow statistics at ungaged stream locations in New Jersey, water year 2016 Estimated low-flow statistics at ungaged stream locations in New Jersey, water year 2017 Estimated low-flow statistics at ungaged stream locations in New Jersey, water year 2018 High-water marks in New Jersey following Hurricane Ida and associated floods, September 2021 Percentage of Hypothetical Well Pumpage Causing Depletions to Simulated Base Flow, Evapotranspiration, and Groundwater Storage in the Elkhorn and Loup River Basins, 2011 through 2060 Region Layers for USGS South Carolina Bohman Method Hydrograph in StreamStats Calculated Leached Nitrogen from Septic Systems in Wisconsin, 1850-2010 Nutrient concentrations, streamflow, and geospatial data for 76 wadeable streams in the Piedmont Ecoregion of the Southeastern United States Field spectra from rivers in Alaska, September 19–21, 2016