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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...
Nolin Lake AUV, profile, and discrete data
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During 2015-17, the U.S. Geological Survey (USGS), in cooperation with the U.S. Department of Agriculture Forest Service (USDA FS), carried out a study to characterize the hydrology and water chemistry in the Rock Creek and Cumberland River areas of the Daniel Boone National Forest. The study areas were historically mined for coal and have since been the focus of remediation efforts. The study examined the contributions of tributaries and gains/losses in both areas, and continuous water-quality and base flow estimates at Rock Creek, so the USDA FS can thoroughly evaluate the current conditions and move forward with well-informed remediation efforts.
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The U.S. Geological Survey (USGS), in cooperation with the U.S. Army Corps of Engineers—Louisville District conducted a pilot study on the use of an autonomous underwater vehicle (AUV) for a survey of water conditions during August 2016 in a portion of Nolin River Lake, Kentucky. The AUV was equipped with sensors for the continuous collection of water-quality measurements for dissolved oxygen, pH, specific conductance, temperature, turbidity, total chlorophyll, and blue-green algae concentrations. The AUV continuously collected measurements of these water-quality parameters while traveling at varied depths in a set spatial pattern within a portion of the lake. In addition to the AUV survey, discrete nutrient- and...
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The U.S. Geological Survey (USGS), in cooperation with the U.S. Army Corps of Engineers—Louisville District conducted a pilot study on the use of an autonomous underwater vehicle (AUV) for a survey of water conditions during August 2016 in a portion of Nolin Lake, Kentucky. The AUV was equipped with sensors for the continuous collection of water-quality measurements for dissolved oxygen, pH, specific conductance, temperature, turbidity, total chlorophyll, and blue-green algae concentrations. The AUV continuously collected measurements of these water-quality parameters while traveling at varied depths in a set spatial pattern within a portion of the lake. In addition to the AUV survey, discrete nutrient- and algae-related...
The U.S. Geological Survey (USGS), in cooperation with the U.S. Army Corps of Engineers—Louisville District conducted a pilot study on the use of an autonomous underwater vehicle (AUV) for a survey of water conditions during August 2016 in a portion of Nolin River Lake, Kentucky. The AUV was equipped with sensors for the continuous collection of water-quality measurements for dissolved oxygen, pH, specific conductance, temperature, turbidity, total chlorophyll, and blue-green algae concentrations. In addition to the AUV survey, algae-related samples were collected at various points in the study area of the lake and along depth profiles. This digital dataset contains the phytoplankton community data.
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This data release includes physical and chemical data for samples from upland source and streambank sampling sites in the Little River basin, Kentucky. Data were collected from March to November of 2014. These data include total nitrogen and carbon concentrations, organic carbon concentrations, concentrations for 37 metals, and particle-size analysis. Source samples were grouped into one of four land use categories: Crop, pasture, riparian, or streambank. These data are used for sediment fingerprinting in order to quantify the proportional contribution of sources to suspended sediment in the basin.
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This U.S. Geological Survey (USGS) Data Release provides phytoplankton data collected from Nolin Lake, Kentucky, during August 15-19, 2016. The digital dataset includes samples collected at six U.S. Army Corps of Engineers (USACE) sites on Nolin River Lake. Phytoplankton were identified to the lowest possible taxonomic level and abundance (density) and biovolume are reported.


    map background search result map search result map Water-Quality Datasets from Synoptic Surveys in Nolin River Lake, Kentucky, using an Autonomous Underwater Vehicle, Discrete Sampling, and Depth Profiles, August 2016 Phytoplankton Taxonomic Dataset for Nolin River Lake, Kentucky, August 2016 Water-Quality Datasets from Synoptic Surveys in Nolin River Lake, Kentucky, using an Autonomous Underwater Vehicle, Discrete Sampling, and Depth Profiles, August 2016 Streamflow and Water-Quality Data for Selected Streams in the Daniel Boone National Forest, Eastern Kentucky, 2015-17 Chemical and physical data for sediment source fingerprinting of suspended and bottom sediment in Little River, Kentucky. Datasets of Streamflow, Nutrient Concentrations, Loads and Trends for the Mississippi Ambient Water-Quality Network Stations, Water Years 2008 through 2018 Water-Quality Datasets from Synoptic Surveys in Nolin River Lake, Kentucky, using an Autonomous Underwater Vehicle, Discrete Sampling, and Depth Profiles, August 2016 Phytoplankton Taxonomic Dataset for Nolin River Lake, Kentucky, August 2016 Water-Quality Datasets from Synoptic Surveys in Nolin River Lake, Kentucky, using an Autonomous Underwater Vehicle, Discrete Sampling, and Depth Profiles, August 2016 Chemical and physical data for sediment source fingerprinting of suspended and bottom sediment in Little River, Kentucky. Streamflow and Water-Quality Data for Selected Streams in the Daniel Boone National Forest, Eastern Kentucky, 2015-17 Datasets of Streamflow, Nutrient Concentrations, Loads and Trends for the Mississippi Ambient Water-Quality Network Stations, Water Years 2008 through 2018