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This U.S. Geological Survey (USGS) Data Release contains tree-core, soil-gas, and soil data collected at the Vienna Wells Superfund site in Vienna, Missouri by the U.S. Geological Survey between 2011 and 2016. Concentrations of tetrachloroethylene (PCE) are reported for each sample in each medium. Tree-core sampling was conducted over two days (July 29, 2014 and May 21, 2015). Trees sampled on July 29, 2014 were used to calculate concentration centroids for each tree to compare with concentration centroids in soil samples. Tree 29 was sampled on May 21, 2015 to characterize and model tetrachloroethylene concentrations within a single tree. An interpolated soil surface was created from 1,016 soil samples (see doi:...
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This dataset summarizes various sedimentary data from ten U.S. Geological Survey (USGS) surface water sites across the contiguous United States. These sites include: 01648010 Rock Creek at Joyce Road, Washington, DC 05586300 Illinois River at Florence, Illinois 06731000 Cherry Creek below Cherry Creek Lake, Colorado 06807000 Missouri River at Nebraska City, Nebraska 06935965 Missouri River at St. Charles, Missouri 08374550 Rio Grande near Castolon, Texas 08375300 Rio Grande at Rio Grande Village, Big Bend National Park, Texas 09404200 Colorado River above Diamond Creek near Peach Springs, Arizona 11447650 Sacramento River at Freeport, California 12046260 Elwha River at diversion near Port Angeles, Washington The...
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Groundwater residence times were simulated for the major regional aquifers of the Northern Atlantic Coastal Plain aquifer system from New York to North Carolina using particle tracking in a regional groundwater flow model. Millions of particles were distributed throughout the aquifers of the North Atlantic Coastal Plain in a MODFLOW model with a volume-weighted algorithm, then tracked backwards using MODPATH6 (Pollock, 2012) until termination of their paths at their sources of origin, usually the simulated water table. Particles were tracked under simulated transient hydrologic conditions from the reference time of January 1, 2018 backwards to 1900, then under simulated steady-state conditions prior to 1900 until...
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This dataset is part of the U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative. These data represent the flowline network in the Green Bay Restoration Assessment (GBRA). It is attributed with the number of disconnections (e.g., road crossings) between the reach and Lake Ontario. The more road crossings on a flowline the more disconnected that area is from the lake and the less suitable it will be for restoration. These data help identify the condition of hydrologic separation between potential restoration areas and Lake Ontario. Low numbers represent fewer disconnections, such as culverts, between the reach and the water body requiring no flow network modification...
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This data release pertains to a seepage investigation and dye tracing study conducted in the Big Creek watershed of Newton County, Arkansas. The seepage dataset includes geospatial files of discharge measurement points and zero-flow observations along with vector lines delineating losing and gaining stream reaches. The dye tracing dataset consists of geospatial files of monitoring sites, dye injection location, and dye flow paths. Hydrologic systems in karst environments have a high degree of interconnectivity between surface water and groundwater systems. Because of this interconnectivity, activities which occur on the surface in karst environments have a direct impact on the water quality and quantity of karst...
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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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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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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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This dataset contains all the layers associated with U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative for the Upper Peninsula Restoration Assessment (UPRA) which aims to identify and rank coastal areas with the greatest potential for wetland habitat restoration. Each layer has a unique contribution to the identification of restorable wetlands. The 7 parameters (Parameter 0: Mask, Parameter 1: Hydroperiod, Parameter 2: Wetland Soils, Parameter 3: Flowlines, Parameter 4: Conservation and Recreation Lands, Parameter 5: Impervious Surfaces, and Parameter 6: Land Use) and Index Composite directly correlate to areas that are recommended for restoration. The dikes, degree...
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The U.S. Geological Survey (USGS) developed a systematic, quantitative approach to prioritize candidate basins that can support the assessment and forecasting objectives of the major USGS water science programs. Candidate basins were the level-4 hydrologic units (HUC4) with some of the smaller HUC4s being combined (hereafter referred to as modified HUC4 basins). Candidate basins for the contiguous United States (CONUS) were grouped into 18 hydrologic regions. Thirty-three geospatial variables representing land use, climate change, water use, water-balance components, streamflow alteration, fire risk, and ecosystem sensitivity were initially considered to assist in ranking candidate basins for study. The two highest...
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To determine aquifer characteristics, pneumatic slug tests were performed on selected zones and aquifers at a monitoring site near the North and South Belridge oil fields in the Southern San Joaquin Valley in Kern County. On November 19th and 20th, 2018, pneumatic slug tests were performed at five monitoring wells located at the multiple-well groundwater-monitoring site BWSD (28S/21E-08M1 through –M5) near Lost Hills, CA in the Southern San Joaquin Valley. Data were collected using In-Situ LevelTROLL 500 30psig pressure transducers set to record the depth to water level below land surface at one second intervals. Computations were performed using Aqtesolv software and analyzed using the KGS Model package for overdamped...
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This metadata record contains 6 tables used to assess sources of Polychlorinated Biphenyls (PCB) in the Back River watershed, Baltimore City, Maryland. Included in the dataset are PCB concentrations of surface water and porewater passive samplers from Herring Run, Moores Run, tidal Back River, and Back River Wastewater Treatment Plant; PCB concentrations of bed sediments and other solids, Fat, Oil, and Grease (FOG) samples, and road sediments; dissolved organic carbon (DOC), total suspended solids (TSS), and particulate organic carbon (POC) concentrations of grab samples; and PCB concentrations of passive samplers from pump stations collected in 2018-2020.
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The Hamilton Wetland Restoration Project (HWRP) is a joint venture between the US Army Corps of Engineers (USACE; San Francisco District) and the California State Coastal Conservancy. The site is located on the property of the former Hamilton Army Airfield in Novato, California, along the western edge of San Pablo Bay, which is part of northern San Francisco Bay. The initial stages of wetland restoration, which included dredged sediment reuse, took place during 2009–2011. From 2011 until April 2014, the site was maintained as partially flooded through a temporary one-way culvert that allowed bay water onto the site. On April 25th, 2014, the outboard levee towards the north-eastern corner of the site was breached...
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This metadata record contains 15 tables with results from field and laboratory tests used to assess bioremediation in wetland areas at the Standard Chlorine of Delaware, Inc. Superfund site, New Castle County, Delaware, during 2019-2021. Included in the dataset are (1) polychlorinated biphenyl (PCB) concentrations in wetland sediment from sediment microcosm laboratory experiments, (2) chlorobenzene concentrations in wetland sediment from sediment microcosm laboratory experiments, (3) polychlorinated biphenyl concentrations from PCB microcosm laboratory experiments using polyethylene strips, (4) chlorobenzene concentrations from PCB microcosm laboratory experiments using polyethylene strips, (5) total iron and ferrous...
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Tree growth (annual tree ring measurements) and plant community composition data of tidal freshwater forested wetlands along longitudinal riverine positions (upper, lower, and stressed tidal river sites, and nearby upstream non-tidal forested floodplains) of the adjoining Pamunkey and Mattaponi Rivers, Virginia.
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Additional data layers have been developed to supplement recently published information collected and developed for an investigation of shoreline erosion along the Lower Brule Reservation in Central South Dakota. The additional data layers presented in this data release include georeferenced 1965 single frame aerial photos, digitized shoreline features from the georeferenced 1965 images, digitized shoreline features from 2016 aerial imagery, and real-time kinematic surveys of shoreline features on selected reaches of the Lake Sharpe shoreline in 2018. This effort was completed by the USGS Dakota Water Science Center in cooperation with the Lower Brule Sioux Tribe, Tribal Preservation Office.
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Digital flood-inundation maps for a 7.5-mile reach of the White River at Noblesville, Indiana, were created by the U.S. Geological Survey (USGS) in cooperation with the Indiana Department of Transportation. The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science website at https://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the White River at Noblesville, Ind., streamgage (USGS station number 03349000). Real-time stages at this streamgage may be obtained from the USGS National Water Information System at https://waterdata.usgs.gov/nwis or the National Weather Service...
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Groundwater is a vital resource in the Mississippi embayment of the central United States. An innovative approach using machine learning (ML) was employed to predict groundwater salinity—including specific conductance (SC), total dissolved solids (TDS), and chloride (Cl) concentrations—across three drinking-water aquifers of the Mississippi embayment. A ML approach was used because it accommodates a large and diverse set of explanatory variables, does not assume monotonic relations between predictors and response data, and results can be extrapolated to areas of the aquifer not sampled. These aspects of ML allowed potential drivers and sources of high salinity water that have been hypothesized in other studies to...
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Clear Lake, located within the Coast Range west of California’s Central Valley, is the largest natural freshwater lake contained fully within the state and geologically is considered to be the oldest lake in North America. Clear Lake is popular for recreation and provides critical habitat to a wide variety of fish and bird species. Water quality in Clear Lake is degraded by both by mercury contamination and harmful algal blooms (HABs). The mercury contamination is largely associated with the Sulfur Bank Mercury Mine (SBMM), located on the eastern shore of the Oaks Arm in the northeastern portion of the Lake. The mine was operated intermittently from the 1870s until 1957 and is now a U.S. Environmental Protection...
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The Air Force Research Laboratory (AFRL) is about 7 kilometers southwest of Boron, California, and covers 320 square kilometers of Edwards Air Force Base. The AFRL consists of 12 facilities for testing full-size rocket engines, engine components, and liquid and solid propellants. The historical release of contaminants from rocket test stands, evaporation ponds, burn pits, catch basins, and leaking waste-collection tanks has contaminated groundwater in the AFRL. Groundwater aquifers near the AFRL are mostly restricted to fractured granitic bedrock, but previous studies indicate that groundwater and associated contaminants have moved into alluvium to the north and northwest. The U.S. Geological Survey (USGS) and the...


map background search result map search result map White River at Noblesville, Indiana, Flood-Inundation Model and GIS Data Lower Brule Reservation Shoreline Erosion, Additional Data Layers, South Dakota, 2018 Surface geophysics investigations at Edwards Air Force Research Laboratory, Antelope Valley, California, 2018 Data on Tree Growth and Plant Community Composition in Mid-Atlantic Tidal Freshwater Forested Wetlands Aquifer test data for the Belridge multiple-well monitoring site (BWSD), Kern County, California Machine-learning model predictions and groundwater-quality rasters of specific conductance, total dissolved solids, and chloride in aquifers of the Mississippi embayment Statistical summaries of simulated groundwater residence times for the 10 regional aquifers of the Northern Atlantic Coastal Plain aquifer system, at a 1 square-mile grid resolution Data for Field Evaluation of the Sequoia Scientific LISST-ABS Acoustic Backscatter Sediment Sensor Machine-learning model predictions and rasters of arsenic and manganese in groundwater in the Mississippi River Valley alluvial aquifer Polychlorinated Biphenyl (PCB) Concentrations of Passive Samplers, Solids, Fat, Oil, and Greases (FOG), and Road Sediments; and Dissolved Organic Carbon (DOC), Total Suspended Solids (TSS), and Particulate Organic Carbon (POC) Concentrations in the Back River Watershed, Baltimore City, Maryland, 2018-2020 Seepage investigation and dye tracing to characterize base flow stream behavior in Big Creek watershed, Newton County, Arkansas Geochemical data including mercury for subsamples of deep cores from the Cache Creek Settling Basin, Yolo County, California Geochemical Data for Mercury and Other Constituents in Redox-Manipulated Sediment Cores from Clear Lake, Lake County, California Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Upper Peninsula, U.S. (ver. 2.0, January 2024) Mercury speciation and other constituent data for surface water and bed sediment associated with the Hamilton Airfield Wetland Restoration, Novato, California. USA (ver. 4.0, March 2023) Volatile organic compound, polychlorinated biphenyl, and biogeochemical data from passive samplers and laboratory experiments for wetland bioremediation study, Standard Chlorine of Delaware, Inc. Superfund Site, New Castle County, Delaware, 2019–2021 Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Green Bay, U.S.: Degree Flowlines Data used to prioritize the selection of river basins for intensive monitoring and assessment by the U.S. Geological Survey (1) Discrete geochemical data for groundwater and surface water samples in the Umatilla River basin, 2014–2022 Aquifer test data for the Belridge multiple-well monitoring site (BWSD), Kern County, California Volatile organic compound, polychlorinated biphenyl, and biogeochemical data from passive samplers and laboratory experiments for wetland bioremediation study, Standard Chlorine of Delaware, Inc. Superfund Site, New Castle County, Delaware, 2019–2021 Mercury speciation and other constituent data for surface water and bed sediment associated with the Hamilton Airfield Wetland Restoration, Novato, California. USA (ver. 4.0, March 2023) Surface geophysics investigations at Edwards Air Force Research Laboratory, Antelope Valley, California, 2018 Geochemical data including mercury for subsamples of deep cores from the Cache Creek Settling Basin, Yolo County, California White River at Noblesville, Indiana, Flood-Inundation Model and GIS Data Seepage investigation and dye tracing to characterize base flow stream behavior in Big Creek watershed, Newton County, Arkansas Data on Tree Growth and Plant Community Composition in Mid-Atlantic Tidal Freshwater Forested Wetlands Geochemical Data for Mercury and Other Constituents in Redox-Manipulated Sediment Cores from Clear Lake, Lake County, California Lower Brule Reservation Shoreline Erosion, Additional Data Layers, South Dakota, 2018 (1) Discrete geochemical data for groundwater and surface water samples in the Umatilla River basin, 2014–2022 Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Upper Peninsula, U.S. (ver. 2.0, January 2024) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Green Bay, U.S.: Degree Flowlines Machine-learning model predictions and groundwater-quality rasters of specific conductance, total dissolved solids, and chloride in aquifers of the Mississippi embayment Machine-learning model predictions and rasters of arsenic and manganese in groundwater in the Mississippi River Valley alluvial aquifer Statistical summaries of simulated groundwater residence times for the 10 regional aquifers of the Northern Atlantic Coastal Plain aquifer system, at a 1 square-mile grid resolution Data for Field Evaluation of the Sequoia Scientific LISST-ABS Acoustic Backscatter Sediment Sensor Data used to prioritize the selection of river basins for intensive monitoring and assessment by the U.S. Geological Survey