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Filters Date Range Past year (41) Past month (8) Past week (1) Past day (0) Custom range... To   Search Extensions ArcGIS Service Definition (10) Shapefile (2) Types Map Service (53) OGC WFS Layer (43) OGC WMS Layer (43) OGC WMS Service (41) Downloadable (12) More... Contacts Water Resources U.S. Geological Survey William H Asquith Sarah M Banks Benjamin V Miller More... Categories Data (45) Data Release - Revised (3) Tag Types Theme (547) Place (256) Tags (with Scheme=None) gulf of mexico (34) salinity (16) estuary (14) modeling (14) arkansas (12) xyz (12) mississippi alluvial plain (10) More... View Results as: JSON ATOM CSV

XYZ files of LiDAR and sonar data collected at Lake Superior at Minnesota Point, Duluth, MN, August 2019 This dataset is comprised of three files containing northing, easting, and elevation ("XYZ") information for light detection and ranging (LiDAR) data representing beach topography and sonar data representing near-shore bathymetry of Lake Superior at Minnesota Point, Duluth, Minnesota. The point data is the same as that in LAS (industry-standard binary format for storing large point clouds) files that were used to create a digital elevation model (DEM) of the approximately 5.9 square kilometer (2.3 square mile) surveyed area. LiDAR data were collected August 10, 2019 using a boat-mounted Optech ILRIS scanner and methodology similar to that described by Huizinga and Wagner (2019). Multi-beam sonar data were collected... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Bathymetry and Elevation, DEM, Duluth, Great Lakes, Hydroacoustic, All tags... LAS, Lake Superior, LiDAR, Southwestern Lake Superior, Superior, XYZ, bathymetry, digital elevation models, elevation, inlandWaters, lidar, limnology, sonar, Fewer tags Geophysical Surveys at Lake Poinsett Dam, Poinsett County, Arkansas Lake Poinsett is a 260-hectare (640 acres) lake located on Crowley’s Ridge in northeastern Arkansas, approximately 6 km southeast of Harrisburg, Arkansas within Poinsett County. The lake was built for recreation by the Arkansas Highway Department in 1960 by constructing a roughly 800-meter dam across the southern boundary of the Distress Creek watershed. The dam is currently operated by the Arkansas Game and Fish Commission (AGFC). AGFC and Arkansas Natural Resources Commission (ANRC) plan to drain the lake to allow access for a series of bank stabilization and dam safety improvements. Because none of the original blueprints exist, AGFC asked the U.S. Geological Survey (USGS) to conduct a series of differential... Categories: Data; Tags: Arkansas, Crowley's Ridge, Electrical Resistivity, Frequency Domain Electromagnetics, GNSS Survey, All tags... Geophysical Survey, Geophysics, Hydrogeology, Lake Poinsett, Lake Poinsett State Park, Poinsett County, Self Potential, USGS Science Data Catalog (SDC), Water Resources, inlandWaters, structure, Fewer tags Digital elevation model (DEM) of beach topography of Lake Superior at Minnesota Point, Duluth, MN, August 2019 This dataset is a digital elevation model (DEM) of the beach topography of Lake Superior at Minnesota Point, Duluth, Minnesota. The DEM has a 1-meter (m; 3.28084 foot [ft]) cell size and was created from a LAS (industry-standard binary format for storing large point clouds) dataset of terrestrial light detection and ranging (LiDAR) data with an average point spacing of 0.137 m (0.45 ft). LiDAR data were collected August 10, 2019 using a boat-mounted Optech ILRIS scanner and methodology similar to that described by Huizinga and Wagner (2019). References: Huizinga, R.J. and Wagner, D.M., 2019, Erosion monitoring along selected bank locations of the Coosa River in Alabama using terrestrial light detection and ranging... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Bathymetry and Elevation, DEM, Duluth, Great Lakes, LAS, All tags... Lake Superior, LiDAR, Southwestern Lake Superior, Superior, XYZ, digital elevation models, elevation, inlandWaters, lidar, Fewer tags Soil-Water-Balance (SWB) model data sets for Fauquier County, Virginia, 1996 - 2015 A Soil-Water-Balance (SWB) model was developed to estimate annual recharge and evapotranspiration (ET) for Fauquier County, Virginia, for the period 1996 through 2015. The model was developed as part of a study to assess groundwater availability in the fractured-rock aquifers underlying Fauquier County. The model is documented in the associated report, U.S. Geological Survey (USGS) Scientific Investigations Report 2019-5056. The model was calibrated by comparing annual base-flow estimates from the hydrograph separation technique PART to annual recharge estimates from the SWB model for available years of streamflow record at two sites (01643700 and 01656000) within the model area. Selected SWB model parameters were... Tags: Fauquier County, Hydrogeology, SWB, Soil-Water-Balance, USGS Science Data Catalog (SDC), All tags... Virginia, Water Resources, evapotranspiration, groundwater, inlandWaters, recharge, water budget, Fewer tags Seepage investigation and dye tracing to characterize base flow stream behavior in Big Creek watershed, Newton County, Arkansas 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... Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Arkansas, Big Creek, Buffalo National River, Buffalo River, Hydrology, All tags... Left Fork Big Creek, Newton County, Ozarks, USGS Science Data Catalog (SDC), Water Resources, dye tracing, fluorescent dye, freshwater ecosystems, groundwater, groundwater, groundwater and surface-water interaction, groundwater tracing, hydrogeology, karst, karst, karst areas, karst hydrology, seepage investigation, seepage run, seepage studies, springs (hydrographic), Fewer tags Machine-learning model predictions and rasters of arsenic and manganese in groundwater in the Mississippi River Valley alluvial aquifer 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... Categories: Data; Tags: Arkansas, Geochemistry, Hydrology, Illinois, Kentucky, All tags... Louisiana, Mississippi, Missouri, Tennessee, USGS Science Data Catalog (SDC), Water Quality, aquifer, boosted regression tree, groundwater, groundwater quality, machine learning, mathematical modeling, Fewer tags Geospatial data for groundwater potentiometric-surface maps in northeastern Hamilton, southern Meigs, and northwestern Bradley Counties, Tennessee, fall 1992, spring and fall 1993, summer 2008, and spring 2009 The U.S. Geological Survey, in cooperation with the Savannah Valley Utility District, evaluated the groundwater hydrology of the Valley and Ridge carbonate aquifer system of Cambrian-Ordovician age in the area of Savannah and Gunstocker Creeks in northeastern Hamilton, southern Meigs, and northwestern Bradley Counties, Tennessee, from 2007 through 2009. The evaluation included and built on: 1) the results of test drilling conducted in the area in 1974 to determine the potential for groundwater as a source of public supply for the utility, and 2) the results of an investigation conducted to define recharge areas for wells used by groundwater-source public-supply water systems throughout Hamilton County in the early... Categories: Data; Tags: Bradley County, Hamilton County, Hydrology, Meigs County, Tennessee, All tags... USGS Science Data Catalog (SDC), Water Resources, geoscientificInformation, groundwater levels, hydrogeology, hydrology, imageryBaseMapsEarthCover, potentiometric surface, Fewer tags Beach topography and near-shore bathymetry of Lake Superior at Minnesota Point, Duluth, MN, August 2019 This dataset is a digital elevation model (DEM) of the beach topography and near-shore bathymetry of Lake Superior at Minnesota Point, Duluth, Minnesota. The DEM has a 10-meter (m; 32.8084 feet) cell size and was created from a LAS (industry-standard binary format for storing large point clouds) dataset of terrestrial light detection and ranging (LiDAR) data representing the beach topography and sonar data representing the bathymetry to approximately 1.3 kilometers (0.8 miles) offshore. Average point spacing of the LAS files in the dataset are as follows: LiDAR, 0.137 m; multi-beam sonar, 1.029 m; single-beam sonar, 0.999 m. LiDAR data were collected August 10, 2019 using a boat-mounted Optech ILRIS scanner and... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Bathymetry and Elevation, DEM, Duluth, Geomorphology, Great Lakes, All tags... Hydroacoustic, LAS, Lake Superior, LiDAR, Sedimentology, Southwestern Lake Superior, Superior, USGS Science Data Catalog (SDC), Water Resources, XYZ, bathymetry, digital elevation models, elevation, inlandWaters, lidar, limnology, sonar, Fewer tags Nutrient and streamflow model-input data (1974-2016) and trend results (1987-2016) for selected Lake Erie tributaries Data provided in this release support the findings in Choquette et al. (2019), utilizing methods for evaluating water-quality and daily-streamflow trends described also in Hirsch and DeCicco (2015 and 2018a) and Hirsch (2018). The trend results and model-input data focus on 10 locations in the Lake Erie watershed that have long-term (20 or more years) water-quality and streamflow monitoring records. The trend results include the years 1987 through 2016 or specified sub-periods during this time frame. The model-input data records spanned the time period 1974 through 2016 although record lengths varied by site, data type, and trend analysis. The water-quality records were provided by the National Center for Water... Categories: Data; Tags: Great Lakes, Indiana, Lake Erie, Michigan, Ohio, All tags... USGS Science Data Catalog (SDC), Water Quality, Water Resources, Weighted regression on time, discharge, and season (WRTDS), Western Lake Erie, geoscientificInformation, nitrate, nitrogen, nutrient, phosphorus, streamflow, trend, water quality, Fewer tags Machine-learning model predictions and groundwater-quality rasters of specific conductance, total dissolved solids, and chloride in aquifers of the Mississippi embayment 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... Categories: Data; Tags: Alabama, Arkansas, Geochemistry, Hydrology, Illinois, All tags... Kentucky, Louisiana, Mississippi, Tennessee, USGS Science Data Catalog (SDC), Water Quality, Water Resources, aquifer, boosted regression tree, groundwater, groundwater quality, machine learning, mathematical modeling, Fewer tags Digitized Maps of the Potentiometric Surface of the Sparta Aquifer in North-Central Louisiana, 1886 to 2012 (ver. 1.1, April 2021) The Sparta aquifer is a primary source of groundwater in north-central Louisiana with more than 60 million gallons of water per day being withdrawn in 2015, and public supply and Industry account for over 90 percent of the water-use demand from the Sparta aquifer (Collier, 2018). Concentrated withdrawals from the Sparta aquifer have caused regional water-level declines within the Sparta aquifer (McGee and Brantly, 2015). Widespread concern about the potential effects of declining water levels has brought forth many questions regarding the sustainability of the aquifer as well as continued saltwater intrusion. In cooperation with the Louisiana Department of Transportation and Development, the U.S. Geological Survey... Categories: Data Release - Revised; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Arkansas, Kentucky, Louisiana, Memphis aquifer, Mississippi, All tags... Mississippi Embayment, Missouri, Sparta Aquifer, Sparta Sand, Tennessee, USGS Science Data Catalog (SDC), freshwater extent, groundwater, potentiometric surface, volume change, water-level, Fewer tags Model Archive Data for Suspended-Sediment Regression at Station 071948095, Mud Creek near Johnson, AR Data from an optical turbidity sensor deployed at the stream station were recorded at 15-minute intervals by a data logger and uploaded every hour to the U.S. Geological Survey (USGS) database (Anderson, 2005; Wagner, 2006). Suspended-sediment samples were collected using equal width increments or grab sampling techniques (Edwards, 1999). The use of an optical sensor to continuously monitor turbidity provided an accurate estimate of sediment fluctuations without the collection and analysis costs associated with intensive sampling (Office of Surface Water Memorandum 2016.07; Rasmussen et al., 2009). Turbidity was used as a surrogate for suspended-sediment concentration (SSC), which is a measure of sedimentation and... Categories: Data; Tags: Arkansas, Hydrology, Mud Creek, USGS Science Data Catalog (SDC), Water Quality, All tags... linear regression, suspended sediment, time series, turbidity, Fewer tags Chesapeake Bay Watershed 1:24k 10, 30 and 90-meter Riparian Buffer Zones This data release contains three 10-meter resolution GeoTIFFs representing 10-meter (35-foot), 30-meter (100-foot) and 90-meter (300-foot) riparian buffer zones along shorelines, rivers, streams, and other lotic (flowing) water features. The layers are binary, where the value of each cell represents the presence or absence of the buffer zone. In addition, the data release contains shapefile layers that document the extent of corrections that were made to the data to address errors in the stream network (see processing steps section for more details). The methodology combines various fine-scale input layers, including a 1:24k stream network and Chesapeake Bay 1-meter resolution Land Use/Land Cover to approximate... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Chesapeake, Delaware, District of Columbia, Ecology, Forestry, All tags... Maryland, New York, Pennsylvania, USGS Science Data Catalog (SDC), Virginia, Water Quality, West Virginia, aquatic ecosystems, environment, land cover, land use, land use and land cover, riparian, riparian zone, river systems, terrestrial ecosystems, Fewer tags Water-level models used to estimate drawdown in 32 monitoring wells screened in the Mississippi River Valley alluvial aquifer and 4 observation wells screened in the Memphis aquifer during an aquifer test at the Tennessee Valley Authority Allen power plants, Memphis, Shelby County, Tennessee, October 2017. This data release presents tabular data and water-level drawdown model files for 32 Mississippi River Valley alluvial aquifer monitoring wells and 4 Memphis aquifer observation wells from an aquifer test conducted in October 2017 at the Tennessee Valley Authority Allen power plants in Memphis, Shelby County, Tennessee. The dataset contains the water-level model files used to estimate drawdown in the monitoring and observation wells during the aquifer test, created using the SeriesSEE Excel add-in program (Halford and others, 2012). The SeriesSEE Excel add-in also is included so that water-level models can be reactivated. Reference Cited: Halford, K.J., Garcia, C.A., Fenlon, J.M., and Mirus, B.B., 2012, Advanced... Tags: Fletcher Lake, Hydrogeology, Memphis, Tennessee, USGS Science Data Catalog (SDC), Water Resources, All tags... drawdown, water-level model, Fewer tags Depth rasters in aquifers of the Mississippi Embayment 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... Tags: Alabama, Arkansas, Illinois, Kentucky, Louisiana, All tags... Mississippi, Tennessee, aquifer, boosted regression tree, groundwater, groundwater quality, machine learning, mathematical modeling, Fewer tags Prediction grids of pH for the Mississippi River Valley Alluvial and Claiborne Aquifers Groundwater is a vital resource to the Mississippi embayment region of the central United States. Regional and integrated assessments of water availability that link physical flow models and water quality in principal aquifer systems provide context for the long-term availability of these water resources. An innovative approach using machine learning was employed to predict groundwater pH across drinking water aquifers of the Mississippi embayment. The region includes two principal regional aquifer systems; the Mississippi River Valley alluvial (MRVA) aquifer and the Mississippi embayment aquifer system that includes several regional aquifers and confining units. Based on the distribution of groundwater use for... Categories: Data; Tags: Alabama, Arkansas, Kentucky, Louisiana, Mississippi, All tags... Tennessee, USGS Science Data Catalog (SDC), Water Quality, aquifer, boosted regression tree, groundwater, groundwater quality, machine learning, mathematical modeling, Fewer tags Water-level data, selected water-quality data, and the potentiometric dataset for the Mississippi River Valley alluvial aquifer in eastern Arkansas, spring 2014 The alluvial aquifer of the Mississippi embayment lies within a syncline plunging south towards the Gulf of Mexico with the axis of the syncline roughly following the Mississippi River (Cushing and others, 1964, Hart and others, 2008). The trough of the syncline is comprised of alluvial and terrace deposits of Quaternary age (Ackerman, 1996). A potentiometric-surface map of the Mississippi River Valley alluvial aquifer represents the altitude at which water would stand in tightly cased wells completed at any location within the study area (Schrader, 2015). Using the altitude of water levels measured in the study area, the potentiometric-surface map depicts points of equal altitude with contours denoting a given... Categories: Data; Types: Citation; Tags: Mississippi Alluvial plain, USGS Science Data Catalog (SDC), alluvial, aquifer, contour, All tags... eastern Arkansas, potentiometric surface, Fewer tags LAS dataset of LiDAR and sonar data collected at Lake Superior at Minnesota Point, Duluth, MN, August 2019 This dataset is a LAS (industry-standard binary format for storing large point clouds) dataset containing light detection and ranging (LiDAR) data and sonar data representing the beach and near-shore topography of Lake Superior at Minnesota Point, Duluth, Minnesota. Average point spacing of the LAS files in the dataset are as follows: LiDAR, 0.137 meters (m); multi-beam sonar, 1.029 m; single-beam sonar, 0.999 m. The LAS dataset was used to create a 10-m (32.8084 feet) digital elevation model (DEM) of the approximately 5.9 square kilometer (2.3 square mile) surveyed area using the "LAS dataset to raster" tool in Esri ArcGIS, version 10.7. LiDAR data were collected August 10, 2019 using a boat-mounted Optech ILRIS... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Bathymetry and Elevation, DEM, Duluth, Great Lakes, Hydroacoustic, All tags... LAS, Lake Superior, LiDAR, Southwestern Lake Superior, Superior, XYZ, bathymetry, digital elevation models, elevation, inlandWaters, lidar, limnology, sonar, Fewer tags Chesapeake Bay Watershed Non-Tidal Network Station Catchments Drainage basins of the 123 Non-Tidal Monitoring Stations in the Chesapeake Bay Watershed. Tags: Chesapeake Bay Watershed, Delaware, Hydrology, Maryland, New York, All tags... Pennsylvania, USGS Science Data Catalog (SDC), United States, Virginia, Washington DC, West Virginia, biota, rivers, water quality, Fewer tags Inundation observations and inundation model predictions for vernal pools of the northeastern United States This data release includes data-processing scripts, data products, and associated metadata for a study to model the hydrology of several hundred vernal pools (i.e., seasonal pools or ephemeral wetlands) across the northeastern United States. More information on this study is available from the project website. This data release consists of several components: (1) an input dataset and associated metadata document ("pool_inundation_observations_and_climate_and_landscape_data"); (2) an annotated R script which processes the input dataset, performs inundation modeling, and generates model predictions ("annotated_R_script_for_pool_inundation_modeling.R"); and (3) a model prediction dataset and associated metadata document... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Hydrology, Maine, Maryland, Massachusetts, New Hampshire, All tags... New Jersey, New York, Northeast CASC, Other Water, Pennsylvania, USGS Science Data Catalog (SDC), Water Resources, Water, Coasts and Ice, West Virginia, Wetlands, environment, hydrology, inlandWaters, vernal pools, wetland ecosystems, Fewer tags 1 2 3 4 5 »