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Reelfoot Lake, in northwestern Tennessee and southwestern Kentucky, is home to a Federal wildlife refuge, a State wildlife-management area, and to a tourism industry that is based on hunting, fishing, birding, and the area’s unique cultural history. In 2012, the U.S. Geological Survey, in cooperation with the Tennessee Wildlife Resources Agency, began a series of hydrologic investigations to support the U.S. Fish and Wildlife Service in managing lake level. The objective was to develop operational models that preserved the historic patterns of variability that had characterized the lake for the past 60 years while meeting seasonal water-level targets (Heal and others, 2022). Preliminary models for gate operations...
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Human alteration of waterways has impacted the minimum and maximum streamflow in more than 86% of monitored streams nationally and may be the primary cause for ecological impairment in river and stream ecosystems. Restoration of freshwater inflows can positively affect shellfish, fisheries, habitat, and water quality in streams, rivers, and estuaries. Increasingly, state and local decision makers and Federal agencies are turning their attention to the restoration of flows as part of a holistic approach to restoring water quality and habitat and protecting and replenishing living coastal and marine resources and the livelihoods that depend on them. In 2017, the U.S. Geological Survey (USGS) Lower Mississippi-Gulf...
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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...
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Two methods of calculating hydrologic alteration were applied to modeled daily streamflow data for 9,201 12-digit hydrologic unit code (HUC12) pour points draining to the Gulf of Mexico (Robinson and others, 2020). The first method is a new modified method of calculating ecosurplus and ecodeficit called hydro change. For this project, ecosurplus and ecodeficit have been combined to assess overall hydrologic regime change. The second method is the confidence interval hypothesis test (Kroll and others, 2015). The first method is a means of quantifying hydrologic alteration while the second is a hypothesis test to simply determine if statistically significant alteration has occurred. Both methods are employed to determine...
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A simple water budget includes precipitation, streamflow, change in storage, evapotranspiration, and residuals: P=Q + ET + ΔS + e. It is essential to include the managed component (i.e., the “human” component) to close the water budget and reduce the magnitude of the residuals from “natural” water budgets. Some of the largest components of managed water withdraws are public supply, irrigation, and thermoelectric. The modified water budget is: P=Q + ET + ΔS + (PS + Irr + TE) + e, where PS is public supply, Irr is irrigation, and TE is thermoelectric water use. This data release contains both the natural and managed components of the water budget for a region within the Apalachicola-Chattahoochee-Flint (ACF) River...
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The dataset is a digital elevation model (DEM), in GeoTiff format, of the bathymetry of Dierks Lake, Howard and Sevier Counties, Arkansas. The extent of the DEM represents the area encompassing the extent of the aerial Light Detection And Ranging (LiDAR) data used in the project. Horizontal and vertical units are expressed in meters. The DEM was derived from an LAS dataset (an industry-standard binary format for storing aerial LiDAR data) created from point datasets stored in “Dierks2018_gdb”. The point datasets include aerial LiDAR data from a survey conducted in 2016 by the National Resources Conservation Service (U.S. Geological Survey, 2017), point data from digitized historical topographic maps, and bathymetric...
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Nonstationary streamflow due to environmental and human-induced causes can affect water quality over time, yet these effects are poorly accounted for in water-quality trend models. This data release provides instream water-quality trends and estimates of two components of change, for sites across the Nation previously presented in Oelsner et al. (2017). We used previously calibrated Weighted Regressions on Time, Discharge, and Season (WRTDS) models published in De Cicco et al. (2017) to estimate instream water-quality trends and associated uncertainties with the generalized flow normalization procedure available in EGRET version 3.0 (Hirsch et al., 2018a) and EGRETci version 2.0 (Hirsch et al., 2018b). The procedure...
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The U.S. Geological Survey (USGS) works closely with the Mississippi Department of Transportation (MDOT) to provide information to be used by the MDOT for design of highway-drainage structures. MDOT spends millions of dollars annually for highway construction. Streamflow records, hydrologic analyses of basins, and hydraulic analyses of flooding potential at proposed highway crossings help the MDOT to make more informed decisions on the use of highway construction funding. Flood-frequency and hydraulic characteristics at highway crossings are determined from historical flood-elevation data recovered by the USGS, cross-section data, and correlations with data from nearby gaging stations. Additional streamflow data...
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The U.S. Geological Survey (USGS) works closely with the Mississippi Department of Transportation (MDOT) to provide information to be used by the MDOT for design of highway-drainage structures. MDOT spends millions of dollars annually for highway construction. Streamflow records, hydrologic analyses of basins, and hydraulic analyses of flooding potential at proposed highway crossings help the MDOT to make more informed decisions on the use of highway construction funding. Flood-frequency and hydraulic characteristics at highway crossings are determined from historical flood-elevation data recovered by the USGS, cross-section data, and correlations with data from nearby gaging stations. Additional streamflow data...
To improve flood-frequency estimates at rural streams in Alabama, annual exceedance probability (AEP) flows at gaged streams in Alabama and regional-regression equations, used to estimate AEP flows for ungaged streams in Alabama, were developed using current geospatial data, additional statistical methods, and annual peak-flow data through the 2015 water year. The regional-regression equations were derived from statistical analyses of peak-flow data, basin characteristics associated with 217 streamgages, and the generalized skew from Bulletin 17B (Interagency Advisory Committee on Water Data, 1982). Four flood regions were identified based on residuals from the regional-regression analyses. Regional regression...
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A bathymetric survey of Dierks Lake, Arkansas, was conducted in late June - early July 2018 by the Lower Mississippi-Gulf Water Science Center of the U.S. Geological Surveys using methodologies for sonar surveys similar to those described by Wilson and Richards (2006) and Richards and Huizinga (2018). Data from the bathymetric survey were combined with data from an aerial Light Detection And Ranging (LiDAR) survey conducted in 2016 by the National Resources Conservation Service (U.S. Geological Survey, 2017) to create a digital elevation model (DEM) of the extent of the flood pool of the lake and compute volume (storage capacity) of the lake at 1-foot increments in water surface elevation from 444-557 feet (ft)...
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The dataset is a digital elevation model (DEM), in GeoTiff format, of the bathymetric surface of Blue Mountain Lake, Arkansas, within the extent of pool elevation 420 feet (ft) above the North American Vertical Datum of 1988 (NAVD88). The DEM was derived from a terrain dataset created by merging bare earth point data from an aerial LiDAR survey conducted in December 2010 for the U.S. Army Corps of Engineers (USACE), Little Rock District, with point data from a bathymetric survey conducted in May 2017 by the Lower Mississippi-Gulf Water Science Center of the U.S. Geological Survey (USGS) using methodology similar to that described by Wilson and Richards (2006).
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Seventeen streamflow-gaging stations, operated by the U.S. Geological Survey and distributed across the Ouachita Mountains of Arkansas and Oklahoma were selected for analysis. This child item includes a geographic information system point shapefile of the study site locations. (OuachitaUsgsGages)
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This study is based on contiguous direct normal irradiance information from the National Renewable Energy Laboratory. Specifically, these data represent both 12-month specific average and annual average daily total solar resource averaged over surface cells of 0.1 degrees in both latitude and longitude. Spacing is about 10 kilometers in size. Direct normal irradiance is the amount of solar radiation received per unit area. For more information on direct normal irradiance see Introduction to Micrometeorology (Arya, 2001) or Fundamentals of Atmospheric Physics (Salby, 1996). Following the metadata description by the National Renewable Energy Laboratory, these modeled data are based on hourly radiance images from geostationary...
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A simple water budget includes precipitation, streamflow, change in storage, evapotranspiration, and residuals: P=Q + ET + ΔS + e. It is essential to include the managed component (i.e., the “human” component) to close the water budget and reduce the magnitude of the residuals from “natural” water budgets. Some of the largest components of managed water withdraws are public supply, irrigation, and thermoelectric. The modified water budget is: P=Q + ET + ΔS + (PS + Irr + TE) + e, where PS is public supply, Irr is irrigation, and TE is thermoelectric water use. This data release contains both the natural and managed components of the water budget for a region within the Apalachicola-Chattahoochee-Flint (ACF) River...
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In 2015-2016, physicochemical properties and chemical characteristics of stream water, bed sediment, groundwater, and soil were determined in watersheds located outside of, but in proximity to, the Peason Ridge Training Area and Main Post at the Joint Readiness Training Center and Fort Polk boundaries to document background trace element concentrations. Water samples were analyzed for physicochemical properties, major inorganic ions, selected trace elements, and dissolved organic carbon. Selected trace elements included antimony, arsenic, cadmium, copper, iron, lead, manganese, mercury, and zinc. Stream bed-sediment and soil samples were analyzed for major inorganic ions, selected trace elements, and grain size...
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Seventeen streamflow-gageing stations, operated by the U.S. Geological Survey and distributed across the Ouachita Mountains of Arkansas and Oklahoma were selected for analysis. This child item includes a geographic information system polygon shapefile of the watersheds delineated above the study site locations. (OuachitaWatersheds)
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This study is based on contiguous direct normal irradiance information from the National Renewable Energy Laboratory. Specifically, these data represent both 12-month specific average and annual average daily total solar resource averaged over surface cells of 0.1 degrees in both latitude and longitude. Spacing is about 10 kilometers in size. Direct normal irradiance is the amount of solar radiation received per unit area. For more information on direct normal irradiance see Introduction to Micrometeorology (Arya, 2001) or Fundamentals of Atmospheric Physics (Salby, 1996). Following the metadata description by the National Renewable Energy Laboratory, these modeled data are based on hourly radiance images from geostationary...
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The data comprise the initial release of landscape disturbance polygons and lines (sites, pipelines and roads) related to natural gas and oil drilling developed prior to the end of 2013 in the 10-county region along the New York - Pennsylvania border. The study area includes the New York Counties of Allegany, Broome, Chemung, Steuben and Tioga, and the Pennsylvania counties of Bradford, McKean, Potter, Susquehanna, and Tioga. The data were collected using high-resolution aerial imagery from the National Agricultural Imagery Program (NAIP) for each available year between 2004 - 2013 within a geographic information system (GIS), along with additional geospatial data on oil and gas drilling permits and locations, administrative...


    map background search result map search result map Water-quality trends and trend component estimates for the Nation's rivers and streams using Weighted Regressions on Time, Discharge, and Season (WRTDS) models and generalized flow normalization, 1972-2012 1) Streamflow-gaging stations 2) Watersheds Water-quality and grain-size data collected at three sites near the Peason Ridge training area and two sites near the Main Post at the Joint Readiness Training Center and Fort Polk, 2015–2016 Bathymetry and Storage Capacity of Blue Mountain Lake, Arkansas. Digital Elevation Model of the Bathymetry of Blue Mountain Lake, Arkansas Natural gas and oil drilling disturbance in the Marcellus Shale region of the New York - Pennsylvania border Heuristically-determined geospatial boundary of streams and rivers draining to the Gulf of Mexico in the south-central and southeastern United States, July 2018 Preliminary model data for lake level gate operation and discharge at Reelfoot Lake - Tennessee and Kentucky Bathymetry and Storage Capacity of Dierks Lake, Arkansas Digital elevation model, in meters, of the bathymetry of Dierks Lake, Arkansas Solar radiation for National Hydrography Dataset, version 2 catchments in the southeastern United States, 1950 - 2010 at 12-digit hydrologic unit code (HUC12) pour points Solar radiation for National Hydrography Dataset, version 2 catchments in the southeastern United States, 1950 - 2010 at USGS streamflow-gaging stations Natural and managed components of the water-budget for 2010 for 43 HUC10s in the Apalachicola-Chattahoochee-Flint River Basin, Georgia, U.S. Natural and managed components of the water-budget from 2008–2012 for 43 HUC10s in the Apalachicola-Chattahoochee-Flint River Basin, Georgia, U.S. Assessment of hydrologic alteration at 12-digit hydrologic unit code (HUC12) pour points in the southeastern United States, 1950 - 2009 Bridge-Site Study Data for Selected Highway Crossings in Mississippi, 2020 Bridge-Site Study Data for Selected Highway Crossings in Mississippi, 2021 Bathymetry and Storage Capacity of Blue Mountain Lake, Arkansas. Digital Elevation Model of the Bathymetry of Blue Mountain Lake, Arkansas Bathymetry and Storage Capacity of Dierks Lake, Arkansas Digital elevation model, in meters, of the bathymetry of Dierks Lake, Arkansas Water-quality and grain-size data collected at three sites near the Peason Ridge training area and two sites near the Main Post at the Joint Readiness Training Center and Fort Polk, 2015–2016 Natural and managed components of the water-budget for 2010 for 43 HUC10s in the Apalachicola-Chattahoochee-Flint River Basin, Georgia, U.S. Natural and managed components of the water-budget from 2008–2012 for 43 HUC10s in the Apalachicola-Chattahoochee-Flint River Basin, Georgia, U.S. 1) Streamflow-gaging stations 2) Watersheds Natural gas and oil drilling disturbance in the Marcellus Shale region of the New York - Pennsylvania border Bridge-Site Study Data for Selected Highway Crossings in Mississippi, 2020 Bridge-Site Study Data for Selected Highway Crossings in Mississippi, 2021 Assessment of hydrologic alteration at 12-digit hydrologic unit code (HUC12) pour points in the southeastern United States, 1950 - 2009 Heuristically-determined geospatial boundary of streams and rivers draining to the Gulf of Mexico in the south-central and southeastern United States, July 2018 Solar radiation for National Hydrography Dataset, version 2 catchments in the southeastern United States, 1950 - 2010 at 12-digit hydrologic unit code (HUC12) pour points Solar radiation for National Hydrography Dataset, version 2 catchments in the southeastern United States, 1950 - 2010 at USGS streamflow-gaging stations Water-quality trends and trend component estimates for the Nation's rivers and streams using Weighted Regressions on Time, Discharge, and Season (WRTDS) models and generalized flow normalization, 1972-2012