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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 Data sets for a quantitative dye tracer test conducted at the Savoy Experimental Watershed, November 13-December 2, 2017, Savoy, Arkansas These are the data sets in machine readable files from a quantitative dye tracer test conducted at Langle Spring November 13-December 2, 2017 as part of the USGS training class, GW2227 Advanced Field Methods in Karst Terrains, held at the Savoy Experimental Watershed, Savoy Arkansas. Langle Spring is NWIS site 71948218, latitude 36.11896886, longitude -94.34548871. One pound of RhodamineWT dye was injected into a sinking stream at latitude 36.116772 longitude -94.341883 NAD83 on November 13, 2017 at 22:50. The data sets include original fluorimeter data logger files from Langle and Copperhead Springs, Laboratory Sectra-fluorometer files from standards and grab samples, and processed input and output files from the... Tags: Hydrology, Savoy, AR, USGS Science Data Catalog (SDC), Washington County, AR, Water Resources, All tags... karst, tracer test, 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 Datasets of Streamflow, Nutrient Concentrations, Loads and Trends for the Mississippi Ambient Water-Quality Network Stations, Water Years 2008 through 2018 This dataset utilized available water-quality data from the Mississippi Department of Environmental Quality and streamflow from the U.S. Geological Survey to estimate total nitrogen and total phosphorus loads and changes in loads from water years 2008 through 2018. Nutrient loads and changes in loads were estimated at 22 state ambient water-quality network sites, and were estimated using LOADEST regression models, Beale-Ratio Estimator, or WRTDS (Weighted Regression on Time, Discharge, and Season). The method selected is based on the evaluation of the flux-bias statistic and use of multiple graphical tools through EGRET to identify and characterize issues with particular models for each given dataset and is included... Categories: Data; Tags: Mississippi, USGS Science Data Catalog (SDC), United States, Water Quality, annual loads, All tags... environment, nutrients, rivers, streamflow, surface-water quality, total nitrogen, total phosphorus, trends, 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 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 Hydrogeologic Aquifer Test dataset, Lower Mississippi-Gulf Water Science Center, December 2021 Since the 1940's, commercial, academic and government hydrologists have used aquifer tests to estimate the hydrogeologic properties of an aquifer near test wells. Results from these tests are recorded in various files, databases, reports, and scientific publications. The U.S. Geological Survey (USGS), Lower Mississippi-Gulf Water Science Center (LMG) is aggregating all aquifer test results from Alabama, Arkansas, Louisiana, Mississippi, and Tennessee into a single dataset that is publicly available in a machine-readable format. The LMG-Hydrogeologic Aquifer Test Dataset – December 2021 contains information and results from 690 hydrogeologic aquifer tests. Additionally, this dataset contains 7 attribute tables... Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Alabama, Alabama (AL), Aquifer, Aquifer, Aquifer Test, All tags... Aquifer Test, Arkansas, Arkansas, Conductivity, Conductivity, Groundwater, Groundwater, Hydrogeology, Hydrogeology, Louisiana, Louisiana, Lower Mississippi Gulf Water Science Center, Mississippi, Mississippi, Mississippi Alluvial Plain (MAP) Project, Mississippi Alluvial Plain (MAP) Project, Permeability, Permeability, Specific Capacity, Specific Capacity, Storage Coefficient, Storage Coefficient, Tennessee, Tennessee (TN), Transmissivity, Transmissivity, Fewer tags Hydraulic Conductivity and Transmissivity Estimates from Slug Tests in Wells Within the Mississippi Alluvial Plain, Arkansas and Mississippi, 2020 During the spring and summer of 2020, the U.S. Geological Survey, Lower Mississippi – Gulf Water Science Center, conducted single well slug tests on selected wells within the Mississippi Alluvial Plain in Arkansas and Mississippi to estimate hydraulic conductivity (K) and transmissivity (T) values for the aquifers in which the wells are screened. A total of 324 tests were conducted on 48 wells. The computer software AQTESOLV version 4.50.002 (HydroSOLVE, Inc., 2007) was used to interpret the slug test data to estimate K and T values. Mean estimates of K for the 44 wells screened in the Mississippi River Valley alluvial aquifer ranged from 3 to 401 feet per day (ft/day) and mean estimates of T ranged from 285 to... Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: 500-Foot Sand Memphis Sand, 500-Foot Sand Memphis Sand, 500-foot Sand, Ar, Arkansas, All tags... Common geographic areas, Conductivity, Groundwataer, Groundwataer, Groundwater, Hydraulic Conductivity, Hydraulic Conductivity, Instantaneous change in head test, Instantaneous change in head test, Memphis Sand, Mississippi, Mississippi Alluvial plain, Mississippi River Valley alluvial aquifer, Mississippi River Valley alluvial aquifer, Mississippi embayment aquifer system, Mississippi embayment aquifer system, Slug Test, Slug Test, Sparta Sand, Sparta Sand, Transmissivity, Transmissivity, USGS Science Data Catalog (SDC), middle Claborne aquifer, middle Claiborne aquifer, middle Claiborne aquifer, Fewer tags Bathymetry and Storage Capacity of Blue Mountain Lake, Arkansas. A bathymetric survey of Blue Mountain Lake, Arkansas, was conducted in May 2017 by the Lower Mississippi-Gulf Water Science Center of the U.S. Geological Survey (USGS) using methodologies for sonar surveys similar to those described by Wilson and Richards (2006). Point data from the bathymetric survey were merged with point data from an aerial LiDAR survey conducted in December 2010 for the U.S. Army Corps of Engineers (USACE), Little Rock District. From the combined point data, a terrain dataset (a type of triangulated irregular network, or TIN model) was created in Esri ArcGIS for the lakebed within the extent of pool elevation 420 feet above the North American Vertical Datum of 1988 (NAVD88). Products included... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Bathymetry and Elevation, LIDAR, USGS Science Data Catalog (SDC), digital elevation models, elevation, All tags... inlandWaters, limnology, 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 2010 County and City-Level Water-Use Data and Associated Explanatory Variables This data release contains the input-data files and R scripts associated with the analysis presented in Worland and others (2018). The spatial extent of the data is the contiguous U.S. The input-data files include one comma separated value (csv) file of county-level data, and one csv file of city-level data. The county-level csv (“county_data.csv”) contains data for 3,109 counties. This data includes two measures of water use, descriptive information about each county, three grouping variables (climate region, urban class, and economic dependency), and contains 18 explanatory variables: proportion of population growth from 2000-2010, fraction of withdrawals from surface water, average daily water yield, mean annual... Categories: Data; Tags: 3,109 counties and county equivalents in contiguous U.S., 83 cities in the contiguous U.S., Hierarchical Bayesian models, Public-supply water use, USGS Science Data Catalog (SDC), All tags... Water Resources, multivariate statistical analysis, 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 Hydrologic event-based water-quality and streamflow data for three oxbow tributaries in northwestern Mississippi, 2007-2016 For about 10 years, the U.S. Geological Survey (USGS) has monitored water quality and streamflow in three agricultural drainage ditches in an effort to evaluate the influence of best management practices on water quality. These ditches are small tributaries to oxbow lakes located in the Mississippi Alluvial Plain of northwestern Mississippi--two sites (LWSR and LWT2) drain to Lake Washington and one site (BLT1) drains to Bee Lake. Streamflow was intermittent at these sites and the ditches were dry much of the year. When streamflow was present, flows were measured on 15-minute intervals and water-quality samples were collected over the course of the flow event using an automated sampler. These datasets were aggregated... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Lower Mississippi - Yazoo, USGS Science Data Catalog (SDC), Water Quality, agriculture, best management practices, All tags... conservation practices, nutrient content (water), runoff, sediment transport, 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 Spring Point Dataset of the Potentiometric Surface of Groundwater-Level Altitudes Near the Planned Highway 270 Bypass, East of Hot Springs, Arkansas, July-August 2017 This dataset consists of altitudes of 18 springs located throughout the study area which were used in construction of the potentiometric-surface map. Springs were selected from the previously published report by Kresse and Hays (2009), and site reconnaissance. Surface-water features and springs represent the intersection of the groundwater-table with land surface. Spring altitudes were calculated from 10-meter digital elevation model (DEM) data (U.S. Geological Survey, 2015; U.S. Geological Survey, 2016) . Select References: Kresse, T.M., and Hays, P.D., 2009, Geochemistry, Comparative Analysis, and Physical and Chemical Characteristics of the Thermal Waters East of Hot Springs National Park, Arkansas, 2006-09:... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Arkansas, Garland, Hot Springs, groundwater, groundwater and surface-water interaction, All tags... groundwater flow, hydrogeology, Fewer tags Groundwater withdrawal zones for drinking water from the Mississippi River Valley alluvial aquifer and Mississippi embayment aquifers Of the approximately 6.6 million people living in the Mississippi embayment (MISE) region in the central United States, approximately 65 percent rely on groundwater for their drinking water (Dieter, Linsey, and others, 2017). Regional assessments of water quality in principal aquifer systems provide context for the long-term availability of these water resources for drinking-water supplies. To assess the current (2018) status of water quality in MISE in relation to drinking water supplies, groundwater withdrawal zones used for domestic and public supply were modeled using available groundwater well and hydrogeologic framework data. Three dimensional surfaces were modeled to map the depth zones at which groundwater... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, OGC WFS Layer, OGC WMS Layer, Raster, Shapefile; Tags: Alabama, Arkansas, Hydrology, Illinois, Kentucky, All tags... Louisiana, Mississippi, Tennessee, USGS Science Data Catalog (SDC), Water Quality, Water Resources, aquifer, drinking water use, groundwater, water quality, Fewer tags 1 2 3 4 5 6 »