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This data release includes hydroacoustic data for the 2021 to 2022 water years at four stations. These stations are part of a discrete and continuous monitoring project in embayments on Long Island Sound to support nutrient management activities in Connecticut. The data were collected by the U.S Geological Survey (USGS) in cooperation with the Connecticut Department of Energy and Environmental Protection. The data were collected using acoustic doppler current profilers (ADCPs) sampling 134 parameters every six minutes. Recorded values above the water surface were removed from files using an R script. The ADCPs were deployed at upstream and downstream locations in the Mystic and Norwalk embayments. For the Mystic...
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This data release documents spatiotemporal water-quality, landscape, and climatic conditions in Fairfax County, Virginia from 2007 through 2018. These data were used to evaluate the water-quality and ecological condition of 20 Fairfax County watersheds monitored since 2007. Data include measures of water-quality, precipitation, air temperature, land use, land cover, wastewater and stormwater infrastructure, soil properties, geologic setting, and stream networks. Annual values from 2007 through 2018 are reported for data expected to change over time. Watershed-specific values are reported for data that differ across the landscape. Annual values for the 20 study watersheds and Fairfax County are reported in the file...
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A total of 27 temperature sensors were deployed along the lower 90 miles of the Yakima River at 7 locations where cold water had been previously observed. These 7 cold-water areas had 3 to 6 temperature sensors installed to document the extent and duration of these cold-water areas and their impacts on mainstem temperatures of the Lower Yakima River. Cold-water areas included the mouths of tributaries, alongside channels, and within alcoves. Sensor deployments ranged from 1 to 2 years beginning in October 2018. All temperature data are included in the Yakima.temperatures.zip folder. Details of each monitoring location are provided in the site.locs.csv file. In addition to the raw data and site location information,...
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These data are high-resolution bathymetry (riverbed elevation) and depth-averaged velocities in comma-delimited table format, generated from hydrographic and velocimetric surveys near highway bridge structures over the Missouri and Mississippi Rivers near St. Louis, Missouri, August 3–10, 2020. Hydrographic data were collected using a high-resolution multibeam echosounder mapping system (MBMS), which consists of a multibeam echosounder (MBES) and an inertial navigation system (INS) mounted on a marine survey vessel. Data were collected as the vessel traversed the river along planned survey lines distributed throughout the reach. Data collection software integrated and stored the depth data from the MBES and the...
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Slug additions are often the most accurate method for determining discharge when traditional current meter or acoustic measurements are unreliable because of high turbulence, rocky streambed, shallow or sheet flow, or the stream is physically inaccessible (e.g., under ice or canyon walls) or unsafe to wade (Zellweger et al., 1989, Kilpatrick and Cobb 1984, Ferranti 2015). The slug addition method for determining discharge requires an injection of a known amount of a single salt and high-frequency downstream measurement of solute concentration to capture the response curve (Kilpatrick and Cobb 1984). A new slug method was developed to determine stream discharge utilizing specific conductance and ionic molal conductivities...
This data release contains hydrologic datasets used in U.S. Geological Survey Scientific-Investigations Report 2023-5131 that are not available from other sources such as the National Water Information System (NWIS). The hydrologic datasets include groundwater levels, spring and stream discharge measurements, and lengths of perennial streamflow reaches, collected within the Las Cienegas National Conservation Area.
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These datasets were created in support of the U.S. Geological Survey's (USGS) Next Generation Water Observing System (NGWOS) for the Delaware River Basin pilot study (Eberts, Wagner, and Woodside, 2019). The NGWOS utilizes real-time data, improved computational capabilities, and new technologies such as unmanned aerial vehicles (UAV) and autonomous underwater vehicles (AUV) to provide information on water quality and/or quantity, in more locations, quickly and efficiently (Eberts, Wagner, and Woodside, 2019). Combined with advanced modeling applications, the NGWOS will be an important tool for water-resource managers and emergency management. In this study, water-quality and bathymetric data were measured with an...
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During the spring and summer of 2022, the U.S. Geological Survey collected water-quality samples for nutrient analysis at 45 stations across the state of Connecticut and adjacent areas of New York and Rhode Island to better understand the groundwater discharge component of nitrogen loading to the Long Island Sound. The targeted stations were located in small drainage basins (less than 50 square kilometers) in the southern portion of the Long Island Sound watershed. Sites were selected randomly from groups based on expected drivers or controls on baseflow nitrogen loads. Factors used in the grouping included four metrics calculated for the upstream watershed: percent impervious cover, septic system density, percent...
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These data are chemical analyses of discrete samples of groundwater, stream base flow, and springs collected to support a U.S. Geological Survey study to estimate the timing and source of recharge to the basalt groundwater system in the Umatilla River basin, Oregon. Categories of data include: (1) site information (2) field measurements, (3) tracers of groundwater age and source, and (4) dissolved noble gases. These data were collected during August 26, 2014 – September 13, 2022. Data are in .csv file format.
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A three-dimensional groundwater flow model was developed in 1997 to evaluate the groundwater flow system at Puget Sound Naval Shipyard, Naval Base Kitsap, Bremerton, Washington (https://pubs.er.usgs.gov/publication/wri964147). In 2016, a regional groundwater flow model for the greater Kitsap Peninsula was developed (https://pubs.er.usgs.gov/publication/sir20165052). Using information from the 2016 regional model, the 1997 groundwater flow model for the Puget Sound Naval Shipyard was updated with a new interpretation of the underlying hydrogeologic units, a refined model grid, and improved recharge estimates. A steady-state model version was constructed in MODFLOW-NWT to simulate equilibrium conditions. MODPATH forward...
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This data release includes water-quality data collected at up to thirteen locations along the Merrimack River and Merrimack River Estuary in Massachusetts. In this study, conducted by the U.S. Geological Survey (USGS) in cooperation with the Massachusetts Department of Environmental Protection, discrete samples were collected, and continuous monitoring was completed from June to September 2020. The data include results of measured field properties (water temperature, specific conductivity, pH, dissolved oxygen) and laboratory concentrations of nitrogen and phosphorus species, total carbon, pheophytin-a, and chlorophyll-a. These data were collected to assess selected (mainly nutrients) water-quality conditions in...
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Sediment cores were collected in the Cache Creek Settling Basin (CCSB), Yolo County, California, during October 2011 at 10 locations (borehole sites) and during August 2012 at 5 other locations. Total core depths ranged from approximately 4.6 to 13.7 meters (15 to 45 feet), with penetration to about 9.1 meters (30 feet) at most locations. Detailed subsampling (3-centimeter intervals) was done at total of seven locations: six along an east-west transect in the southern part of the Cache Creek Settling Basin and at one in the northern part of the basin for analyses of total mercury; organic content; and cesium-137, which was used for dating. This data release reports results of the analyses of each subsample of these...
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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...
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Sugar Creek Lake is located approximately 4 miles northwest of Moberly, Missouri, in Randolph County, and has a full-pool surface area of approximately 330 acres. The lake primarily is used for recreation and drinking-water supply for the town of Moberly, Missouri. An earthen dam approximately 38-feet high and 1,125-feet long was constructed across the Sugar Creek valley in 1922. The elevation of the top of the dam is approximately 754 feet, with a 90-feet wide concrete spillway located near the right bank (west end) at an elevation of 746.8 feet. A previous bathymetric survey was completed in 2003. In cooperation with the Missouri Department of Natural Resources, the U.S. Geological Survey resurveyed the bathymetry...
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The U.S. Geological Survey (USGS), in cooperation with the New Mexico Water Resources Research Institute (WRRI), identified basin characteristics and estimated mean annual streamflow for a regional study of 169 USGS surface-water streamgages throughout the state of New Mexico and adjacent states. The basin characteristics and mean annual streamflows presented here will be used to derive equations for estimating mean annual streamflow at ungaged locations in New Mexico. The accompanying directories contain basin characteristics computation methods and results, and mean annual streamflow at streamgages. Using a Geographic Information System (GIS), surface-water streamgages were selected based on their location in...
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This data release contains one dataset and one model archive in support of the journal article, "Leveraging machine learning to automate regression model evaluations for large multi-site water-quality trend studies," by Jennifer C. Murphy and Jeffrey G. Chanat. The model archive contains scripts (run in R) to reproduce the four machine learning models (logistic regression, linear and quadratic discriminant analysis, and k-nearest neighbors) trained and tested as part of the journal article. The dataset contains the estimated probabilities for each of these models when applied to a training and test dataset.
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This data release contains environmental and quality control results for chemical, biological, and physical sampling of water and bed sediment from Albemarle Sound and associated tributaries between 2012 and 2014 referenced in USGS OFR 2016-1171. Appendix 1 contains all quality control results to characterize the bias and variability of sampling, handling, and analysis of water, phytoplankton, and bed sediment samples. Appendix 2 contains all the chemical, biological, and physical results for water samples collected in July and August of 2012. Appendix 3 contains all the chemical, biological, and physical results for water samples collected from March 2013 to February 2014. Data are included for discrete samples...
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An existing, three-dimensional, transient groundwater-flow model of the Upper Charles River Basin, eastern Massachusetts, was modified to evaluate alternative groundwater-withdrawal scenarios on water levels in Kingsbury Pond. The pond is hydraulically connected to the groundwater-flow system, and water levels in the pond fluctuate in response to recharge to the aquifer from precipitation and wastewater return flows through septic systems, to withdrawals from the aquifer at nearby wells, and to precipitation directly on the pond surface. Concerns about the effects of groundwater withdrawals on water levels in the pond prompted an investigation by the U.S. Geological Survey (USGS) in cooperation with the Massachusetts...
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In support of U.S. Geological Survey invasive carp research examining aggregations of invasive carp in the tail water of dams, water velocity measurements were made at cross sections in the Illinois River below Starved Rock Lock and Dam on June 16, 2021. A total of 16 cross sections were surveyed, with two transects per cross section. Water depth and crew safety limited the extent of the survey. The discharge in the Illinois River at Starved Rock Lock and Dam at the time of data collection was approximately 185.7 cubic meters per second. The data were processed in the Velocity Mapping Toolbox (VMT) v.4.09 (Parsons and others, 2013) to obtain a depth-averaged velocity field for each cross section from paired transects...
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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.
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 Associated data for Water Quality and Sediment Quality in the Albemarle Sound, North Carolina, 2012–14 Basin Characteristics and Mean Annual Streamflow Data for Streamgages in New Mexico and Adjacent States, 2017 Bathymetric and supporting data for Sugar Creek Lake near Moberly, Missouri, 2018 Temperature data collected from the Lower Yakima River from October 2018 to October 2020 Geochemical data including mercury for subsamples of deep cores from the Cache Creek Settling Basin, Yolo County, California Water-Quality Data for Discrete Samples and Continuous Monitoring on the Merrimack River, Massachusetts, June to September 2020 Autonomous Underwater Vehicle Water-Quality and Sonar Measurements alongside Conductivity, Temperature and Depth Measurements in the Delaware River near Philadelphia, Pennsylvania, 2021 Bathymetry and Velocity Data from Surveys at Highway Bridges Crossing the Missouri and Mississippi Rivers near St. Louis, Missouri, August 3–10, 2020 Climate, Landscape, and Water-Quality Metrics for Selected Watersheds in Fairfax County, Virginia, 2007 – 2018 Hydroacoustic Data to Support Embayment Monitoring in Long Island Sound, Mystic and Norwalk Embayments, Connecticut, 2021-2022 Seepage Meter Data Collected at Crystal Lake, City of Crystal Lake, Illinois, 2020 MODFLOW-2000 and Management-Optimization Models Used to Evaluate Alternative Groundwater-Withdrawal Scenarios on Water Levels in Kingsbury Pond, Upper Charles River Basin, Eastern Massachusetts MODFLOW-NWT model to simulate the groundwater flow system at Puget Sound Naval Shipyard, Naval Base Kitsap, Bremerton, Washington Data to support Leveraging machine learning to automate regression model evaluations for large multi-site water-quality trend studies Nitrogen Loads, Yields, and Associated Field Data Collected During Baseflow Conditions and Site Attributes for Small Basins Draining to Long Island Sound (1) Discrete geochemical data for groundwater and surface water samples in the Umatilla River basin, 2014–2022 Velocity Survey at Cross Sections in the Illinois River below Starved Rock Lock and Dam near Utica, Illinois, June 16, 2021 Specific conductance data collected during slug additions Velocity Survey at Cross Sections in the Illinois River below Starved Rock Lock and Dam near Utica, Illinois, June 16, 2021 Seepage Meter Data Collected at Crystal Lake, City of Crystal Lake, Illinois, 2020 Bathymetric and supporting data for Sugar Creek Lake near Moberly, Missouri, 2018 Geochemical data including mercury for subsamples of deep cores from the Cache Creek Settling Basin, Yolo County, California MODFLOW-NWT model to simulate the groundwater flow system at Puget Sound Naval Shipyard, Naval Base Kitsap, Bremerton, Washington MODFLOW-2000 and Management-Optimization Models Used to Evaluate Alternative Groundwater-Withdrawal Scenarios on Water Levels in Kingsbury Pond, Upper Charles River Basin, Eastern Massachusetts Water-Quality Data for Discrete Samples and Continuous Monitoring on the Merrimack River, Massachusetts, June to September 2020 Temperature data collected from the Lower Yakima River from October 2018 to October 2020 Climate, Landscape, and Water-Quality Metrics for Selected Watersheds in Fairfax County, Virginia, 2007 – 2018 Autonomous Underwater Vehicle Water-Quality and Sonar Measurements alongside Conductivity, Temperature and Depth Measurements in the Delaware River near Philadelphia, Pennsylvania, 2021 Bathymetry and Velocity Data from Surveys at Highway Bridges Crossing the Missouri and Mississippi Rivers near St. Louis, Missouri, August 3–10, 2020 (1) Discrete geochemical data for groundwater and surface water samples in the Umatilla River basin, 2014–2022 Associated data for Water Quality and Sediment Quality in the Albemarle Sound, North Carolina, 2012–14 Hydroacoustic Data to Support Embayment Monitoring in Long Island Sound, Mystic and Norwalk Embayments, Connecticut, 2021-2022 Nitrogen Loads, Yields, and Associated Field Data Collected During Baseflow Conditions and Site Attributes for Small Basins Draining to Long Island Sound Specific conductance data collected during slug additions Basin Characteristics and Mean Annual Streamflow Data for Streamgages in New Mexico and Adjacent States, 2017 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 Data to support Leveraging machine learning to automate regression model evaluations for large multi-site water-quality trend studies