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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 for water need by delivering routine assessments of water supply and demand and an understanding of the natural and human factors affecting the balance between 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 18 observed annual and monthly streamflow metrics at 6,347 U.S. Geological Survey streamgages located in the conterminous...
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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 for water need by delivering routine assessments of water supply and demand and an understanding of the natural and human factors affecting the balance between 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. An understanding of the impacts of reservoirs on water availability is essential for this assessment. This data release contains decadal time series of cumulative reservoir storage...
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The U.S. Geological Survey (USGS), in cooperation with the U.S. Fish and Wildlife Service (USFWS) and the U.S. Environmental Protection Agency (EPA), identified the occurrence of contaminants of emerging concern (CECs) in water and bottom sediment collected in 2013 at 57 sites throughout the Great Lakes Basin. The 2013 effort is part of a long-term study that began in 2010. Included in this directory are references to or descriptions of analytical methods used, collection methods, environmental data, and associated quality-assurance data for samples collected in 2013. Samples were collected from April through October 2013 by USGS, USFWS, and/or EPA personnel. Study sites include tributaries to the Great Lakes...
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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Seepage meters measurements were collected at three locations along the northern shoreline and at three locations along the southern shoreline of Crystal Lake, located in the City of Crystal Lake, Illinois on October 28-30, 2020, and November 4-5, 2020. Seepage measurements directly measure the flux for the area captured by the seepage meter. A positive (gaining) flux is assumed when the volume in the collection bag increases and negative (losing) if the volume decreases and the data can also be used to calculate the vertical hydraulic conductivity. The data provided contains the measurements collected at each location and calculations of discharge and flux at each of the seepage meters.
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This data release provides model inputs and outputs for a model that predicts redox conditions in groundwater in the contiguous United States. Input variables describe the hydrology, soils, geology, and hydrologic position of groundwater sample locations. The data release accompanies a journal article that describes model development and applications (Tesoriero_and_others_2023).
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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...
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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...
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The U.S. Geological Survey, in cooperation with the U.S. Department of Energy, conducted a study on the magnetic record contained in subsurface basalts within coreholes at the Idaho National Laboratory. Standard 1 inch paleomagnetism core samples were collected from 11 coreholes. The samples were characterized for polarity and average paleomagnetic inclinations over the entire length of the drill core. However, paleomagnetic declination data were not obtained due to the original azimuth of the drill cores not being preserved during drilling. The samples were extracted from individual lava flows based on identification of flow tops and bottoms in the drill core. These samples were then transported to the USGS Paleomagnetic...
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Note: this data release is currently being revised and is temporarily unavailable. This data release includes field data for fishes sampled through mid-water trawls and otter trawl methods from Suisun Bay, CA to the mouth of the Sacramento River. These data were collected from September 9, 2022 through October 6, 2022 as a part of a multi-year study of Suisun Dredging and Fish Distribution (SDFD). This data release includes quantitative data on collected fish taxa focused on habitat differences between shipping channels and shoals. Sampling was done using short duration (~15 minute) trawls alongside associated water quality sample and Acoustic Doppler Current Profiler (ADCP) data collected at variable locations,...
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The U.S. Geological Survey (USGS) in cooperation with the California State Water Resources Control Board collected produced water and gas samples in the Oxnard Oil Field in Ventura County in August 2018 and the Placerita Oil Field in Los Angeles County in December 2018. Sampled sites included oil wells; injectate from tanks, pipelines, and injection wells where produced water from many wells, after removal of oil, is stored or transported prior to underground injection; and integrated produced water from many oil wells collected from pipelines before oil removal. This digital dataset contains the site information, analyzing laboratories and methods, and water and gas chemistry and quality-control results for these...
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This dataset includes georeferenced, high-resolution, airborne thermal infrared (TIR) and high-resolution true-color imagery, a polyline shapefile of the channel centerline, a polyline shapefile with TIR sample points for longitudinal stream temperature profiles, and a tabular file with longitudinal stream temperature profiles for the Donner und Blitzen River and its tributaries, Oregon. The aerial TIR surveys were conducted with a helicopter by NV5 Geospatial and are published as 17 raster mosaics in GeoTiff format with a resolution of 0.3 meters (m). The TIR mosaics contain corrected surface temperatures in degrees Celsius (C) (multiplied by 10 to create an unsigned integer pixel type). The longitudinal stream...
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Here we report optical data collected as part of a collaborative study between USGS Pennsylvania Water Science Center, Pennsylvania Department of Environmental Protection and Water Mission Area Proxies Project. The optical measurements reported here were collected to aide in the characterization of water sources and mixtures and establish proxies (surrogates) for per- and poly-fluorinated alkyl substances within the Neshaminy Creek basin. Data are compiled into three tables: 1) full fluorescence spectra in vectorized format, 2) full absorbance spectra, and 3) summary file of commonly extracted optical indicators and field-based sensor arrays.
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Yellowstone National Park (YNP; Wyoming, Montana, and Idaho, USA) contains more than 10,000 hydrothermal features, several lakes, and four major watersheds. For more than 140 years, researchers at the U.S. Geological Survey and other scientific institutions have investigated the chemical compositions of hot springs, geysers, fumaroles, mud pots, streams, rivers, and lakes in YNP and surrounding areas. Water chemistry studies have revealed a range of compositions including waters with pH values ranging from about 1 to 10, surface temperatures from ambient to superheated values of 95°C, and elevated concentrations of silica, lithium, boron, fluoride, mercury, and arsenic. Hydrogeochemical data from YNP research have...
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The San Juan River is a major water source for communities in the Four Corners region of the United States (parts of Colorado, Arizona, New Mexico, Utah) and is a vital source of water for the Navajo Nation. The Navajo Nation Environmental Protection Agency (NNEPA) periodically samples surface water on the Navajo Nation and has found that some elements exceed NNEPA surface water standards (the upper limits of an element for consumption or other use of water). Constituents of concern are substances that could be harmful if present in sufficient quantities, and it is important to monitor the concentrations of these substances in the environment. In the San Juan River, constituents of concern include metals detected...
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The Russian River Watershed (RRW) covers about 1300 square miles (without Santa Rosa Plain) of urban, agricultural, and forested lands in northern Sonoma County and southern Mendocino County, California. Communities in the RRW depend on a combination of Russian River water and groundwater to meet their water-supply demands. Water is used primarily for agricultural irrigation, municipal and private wells supply, and commercial uses - such as for wineries and recreation. Annual rainfall in the RRW is highly variable, making it prone to droughts and flooding from atmospheric river events. In order to better understand surface-water and groundwater issues, the USGS is creating a Coupled Ground-Water and Surface-Water...
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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...
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Lake-bottom sediment and associated quality-control samples were collected in August 2020 from one coring location (U.S. Geological Survey station 413756070321301, ASHUMET POND, MASHPEE MI-ASHPD-0011) in Ashumet Pond downgradient from a former fire-training area on Cape Cod, Massachusetts. The core was collected to determine if per- and polyfluoroalkyl substances (PFAS) were present in the bottom sediments of a lake known to have elevated concentrations of PFAS in surface water and groundwater (Tokranov and others, 2021), and whether the sediments could act as a continuous source of PFAS to the lake. Processing the sediment core entailed collection of discrete samples at intervals ranging from 1-5 centimeters (cm)...
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As part of a larger study examining stream conditions and the effect of Best Management Practices in the Chesapeake Bay watershed, thirty small streams on the Delmarva Peninsula were instrumented and monitored for gage height (water level), water temperature, and air temperature using Onset HOBO sensors from March to September 2022. In addition, two discrete discharge measurements were made at baseflow at each site. This data release contains four .csv files with time-series for gage height, water temperature, and air temperature for all thirty monitoring locations and a table of discrete discharge measurements and associated field measurement metadata: Delmarva_2022_Continuous_Air_Temperature.csv Delmarva_2022_Continuous_Gage_Height.csv...
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This document provides a summary of surface water-quality, streamflow, and groundwater data collected by the U.S. Geological Survey (USGS) within the Central Pine Barrens (CPB) Region of Suffolk County, New York. The data were collected in cooperation with the Central Pine Barrens Commission and the Town of Brookhaven under a five-year comprehensive water resources monitoring program. The surface water-quality data within the CPB for the 2018 water year (October 1, 2017 to September 30, 2018) includes data from the Carmans River and the Peconic River. The streams were sampled several times throughout the year at seven pre-determined locations. The Carmans River was sampled at five locations: 1) CARMANS RIVER AT...


map background search result map search result map Chemicals of Emerging Concern in Water and Bottom Sediment in Great Lakes Areas of Concern, 2013—Analytical Methods, Collection Methods, Environmental Data, and Quality Assurance 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 2018 Hydrologic Data Summary for the Central Pine Barrens Region, Suffolk County, New York (ver. 2.0, February 2024) Data Layers for the National Hydrologic Model, version 1.1 National Hydrologic Model's United States-Canada Transboundary Geospatial Fabric Parameter Database Airborne Thermal Infrared and High-resolution True-color Imagery and Longitudinal Profiles of Stream Temperatures, Upper Donner und Blitzen River Basin, Oregon, August 2020 Produced water chemistry data collected from the Oxnard Oil Field, Ventura County, and the Placerita Oil Field, Los Angeles County, 2018, California Seepage Meter Data Collected at Crystal Lake, City of Crystal Lake, Illinois, 2020 Discharge measurements, air temperature, water temperature, and gage height data for select stream monitoring locations across Delmarva Peninsula (2022) Concentrations of Per- and Polyfluoroalkyl Substances (PFAS) in Lake-Bottom Sediments of Ashumet Pond on Cape Cod, Massachusetts, 2020 (ver. 2.0, February 2024) Russian River Integrated Hydrologic Model (RRIHM): Wells Input and results from a random forest classification (RFC) model that predicts redox conditions in groundwater in the contiguous United States Scanning electron microscopy data from sediments collected in ephemeral channels, Four Corners region, USA, 2021-2022 Historic Water Chemistry Data for Thermal Features, Streams, and Rivers in the Yellowstone National Park Area, 1883-2021 Identifying post-reservoir construction periods for monotonic trend analysis at streamgages in the United States Long-term monotonic trends in annual groundwater metrics in the United States through 2020 Long-term monotonic trends in annual and monthly streamflow metrics at streamgages in the United States Paleomagnetic inclination data collected from Coreholes EREF-GW-1, STF-PIE-AQ-02, TAN 2336, USGS 138, USGS 139, USGS 142, USGS 143, USGS 144, USGS 145, USGS 147, and USGS 148A, located at and near the Idaho National Laboratory, Idaho Optical measurements for surface water samples collected within the Neshaminy Creek basin during November 2021 Fish distribution and tidal currents in the Upper San Francisco Estuary in 2022 (Under Revision) Concentrations of Per- and Polyfluoroalkyl Substances (PFAS) in Lake-Bottom Sediments of Ashumet Pond on Cape Cod, Massachusetts, 2020 (ver. 2.0, February 2024) Seepage Meter Data Collected at Crystal Lake, City of Crystal Lake, Illinois, 2020 Fish distribution and tidal currents in the Upper San Francisco Estuary in 2022 (Under Revision) Optical measurements for surface water samples collected within the Neshaminy Creek basin during November 2021 2018 Hydrologic Data Summary for the Central Pine Barrens Region, Suffolk County, New York (ver. 2.0, February 2024) Paleomagnetic inclination data collected from Coreholes EREF-GW-1, STF-PIE-AQ-02, TAN 2336, USGS 138, USGS 139, USGS 142, USGS 143, USGS 144, USGS 145, USGS 147, and USGS 148A, located at and near the Idaho National Laboratory, Idaho Airborne Thermal Infrared and High-resolution True-color Imagery and Longitudinal Profiles of Stream Temperatures, Upper Donner und Blitzen River Basin, Oregon, August 2020 Russian River Integrated Hydrologic Model (RRIHM): Wells Historic Water Chemistry Data for Thermal Features, Streams, and Rivers in the Yellowstone National Park Area, 1883-2021 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 Scanning electron microscopy data from sediments collected in ephemeral channels, Four Corners region, USA, 2021-2022 Chemicals of Emerging Concern in Water and Bottom Sediment in Great Lakes Areas of Concern, 2013—Analytical Methods, Collection Methods, Environmental Data, and Quality Assurance National Hydrologic Model's United States-Canada Transboundary Geospatial Fabric Parameter Database Input and results from a random forest classification (RFC) model that predicts redox conditions in groundwater in the contiguous United States Data Layers for the National Hydrologic Model, version 1.1 Identifying post-reservoir construction periods for monotonic trend analysis at streamgages in the United States Long-term monotonic trends in annual groundwater metrics in the United States through 2020 Long-term monotonic trends in annual and monthly streamflow metrics at streamgages in the United States