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This dataset describes water-quantity and -quality data measured from the parking lot influent and underdrain and overflow effluent from the permeable asphalt, concrete and paver test plots in Madison, Wisconsin, USA. Data include precipitation statistics, volumes, and concentrations and loads of total and dissolved forms of solids, nutrients, chloride, and bacteria. Samples were collected in August 2014 through September 2016. These data are interpreted in a USGS Scientific Investigations Report.
The datasets provided here are the input data used to run the Seasonal Kendall Trend (SKT) tests and Weighted Regressions on Time, Discharge, and Season (WRTDS) models. SKT tests use "annualSamplingFreqs_allSites.csv" and "wqData_screenedSitesAll.csv" which includes, for all site-parameter combinations, information on annual sampling frequencies and the screened water-quality data, respectively. The WRTDS models use "DRB.wqdata.20200521.csv", "DRB.flow.20200610.zip", and "DRB.info.20200521.csv" for calibration which includes, for all site-parameter combinations, the water-quality data, streamflow data (as separate .csv files for each site), model specifications and site information, respectively. The multisource...
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This U.S. Geological Survey (USGS) Data Release provides selected discretely measured water-quality data collected from 27 monitoring sites in Johnson County, Kansas, during January 2015 through June 2016. Water-quality samples were analyzed for nutrients, Escherichia coli bacteria, total suspended solids, suspended-sediment concentration, and chlorophyll as part of a study to assess the water-quality program for total maximum daily loads in Johnson County, Kansas. Samples were analyzed by the Johnson County Environmental Lab, Johnson County, Kansas, USGS National Water Quality Laboratory, Lakewood, Colorado, and USGS Kansas Water Science Center, Lawrence, Kansas.
Categories: Data; Tags: Big Bull Creek at 191st Street, Edgerton, KS, Big Bull Creek near Edgerton, KS (I-35), Blue River near Stanley, KS, Camp Creek at 95th Street near De Soto, KS, Chlorophyll, All tags...
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These data consists of three related tables describing in-situ field conditions including pesticide concentration, water quality, and post-treatment survival of crayfish associated with the application of a pesticide to a stormwater retention pond and burrows to suppress or eradicate an invasive crayfish species, Procambarus clarkii, in support of high-priority research developing control methods to mitigate impacts of invasive crayfish within the Great Lakes Basin. Effectiveness of the treatment was accessed using an in-situ bioassay and by measuring pesticide concentrations in water, sediment, and caged crayfish. Water quality data, including temperature, pH, specific conductance, dissolved oxygen, alkalinity,...
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In 1991, the U.S. Geological Survey (USGS) began a study of more than 50 major river basins across the Nation as part of the National Water-Quality Assessment (NAWQA) project. One of the major goals of the NAWQA project was to determine how river water quality has changed over time. To support that goal, long-term consistent and comparable monitoring has been conducted by the USGS on streams and rivers throughout the Nation. Outside of the NAWQA project, the USGS and other Federal, State, and local agencies also have collected long-term water-quality data to support their own assessments of changing water quality. In 2017, data from these multiple sources were combined to support one of the most comprehensive assessments...
The datasets provided here are the output from the Seasonal Kendall Trend (SKT) test and Weighted Regressions on Time, Discharge, and Season (WRTDS) model that characterize changes in water quality in rivers and streams across the Delaware River Basin. SKT results are compiled in "skt_out.csv" for all combinations of site, water-quality parameter, and trend period. WRTDS results are compiled in four datasets. If unspecified, generalized flow normalization (GFN) results are reported. Stationary flow normalization (SFN) results are indicated in the datasets. "wrtds_out_annResults.csv" contains the annual estimates of mean concentration and load and GFN and SFN estimates by site and parameter for the entire calibration...
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The United States Geological Survey’s (USGS) SPAtially Referenced Regressions On Watershed attributes (SPARROW) model was developed to aid in the interpretation of monitoring data and simulate water-quality conditions in streams across large spatial scales. SPARROW is a hybrid empirical/process-based mass balance model that can be used to estimate the major sources and environmental factors that affect the long-term supply, transport, and fate of contaminants in streams. The spatially explicit model structure is defined by a river reach network coupled with contributing catchments. The model is calibrated by statistically relating watershed sources and transport-related properties to monitoring-based streamflow...
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In 1991, the U.S. Geological Survey (USGS) began a study of more than 50 major river basins across the Nation as part of the National Water-Quality Assessment (NAWQA) project. One of the major goals of the NAWQA project was to determine how river water quality has changed over time. To support that goal, long-term consistent and comparable monitoring has been conducted by the USGS on streams and rivers throughout the Nation. Outside of the NAWQA project, the USGS and other Federal, State, and local agencies also have collected long-term water-quality data to support their own assessments of changing water quality. In 2017, data from these multiple sources were combined to support one of the most comprehensive assessments...
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This U.S. Geological Survey (USGS) Data Release provides selected discretely measured water-quality data collected from 27 monitoring sites in Johnson County, Kansas, during January 2015 through November 2018. Water-quality samples were analyzed for nutrients, Escherichia coli bacteria, total suspended solids, suspended-sediment concentration, and chlorophyll as part of a study to assess the water-quality program for total maximum daily loads in Johnson County, Kansas. Samples were analyzed by the Johnson County Environmental Lab, Johnson County, Kansas, USGS National Water Quality Laboratory, Lakewood, Colorado, and USGS Kansas Water Science Center, Lawrence, Kansas. Preceding 24-hour precipitation values were...
Categories: Data; Tags: Big Bull Creek at 191st Street, Edgerton, KS, Big Bull Creek near Edgerton, KS (I-35), Blue River at Metcalf Avenue, Overland Park, KS, Blue River near Stanley, KS, Camp Creek at 95th Street near De Soto, KS, All tags...
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These data consist of three related tables describing test conditions including pesticide concentration, water quality, and post-treatment survival of crayfish associated with laboratory studies conducted to determine 24-hr acute lethal concentrations of two pesticides containing pyrethrin or cypermethrin for two crayfish species, Procambarus clarkii and Faxonius virilis. Tests investigated whether two nominal temperatures (10 and 22 °C) and total suspended solids in water affected pesticide toxicity. Laboratory data will be used to design field treatments for open-water populations of invasive P. clarkii. Water quality monitoring during testing followed standard testing protocols and included temperature, pH, specific...
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Data were collected associated with the application of a pesticide to a stormwater retention pond and burrows to suppress or eradicate an invasive crayfish species, Procambarus clarkii, in support of high-priority research developing control methods to mitigate impacts of invasive crayfish within the Great Lakes Basin. Effectiveness of the treatment was accessed using an in-situ bioassay and by measuring pesticide concentrations in water, sediment, and caged crayfish. Water quality data, including temperature, pH, specific conductance, dissolved oxygen, alkalinity, hardness, ammonia, and turbidity, in stormwater ponds was collected to evaluate whether environmental conditions may impact treatment effectiveness and...
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This dataset characterizes water quality and quantity data from 33 storm events at the influent and effluent of a stormwater treatment vault modified with a Coanda-effect screen in Madison, Wisconsin (2016-17). Event dates, event duration, precipitation depth, 15-minute intensity, 30-minute intensity, 60-minute intensity, event volume, and peak discharge are shown with corresponding influent and effluent concentrations and loads as well as percent reductions and load reductions of total suspended solids (TSS), volatile suspended solids (VSS), suspended sediment concentration (SSC), total phosphorus (TP), and dissolved phosphorus (DP). Data are interpreted in a scientific paper published in the Journal of Sustainable...


    map background search result map search result map Water-quality and streamflow datasets used for estimating long-term mean daily streamflow and annual loads to be considered for use in regional streamflow, nutrient and sediment SPARROW models, United States, 1999-2014 Water-quality data for base flow and storm runoff samples collected in Johnson County, Kansas, from January 2015 through June 2016 Storm Characteristics, Concentrations, and Loads Measured at the Permeable Pavement Research Facility, Madison, Wisconsin (2014 - 2016) Storm characteristics, concentrations, and loads measured at the Coanda-effect treatment vault, Madison, Wisconsin (2016-17) Water-quality trends for rivers and streams in the Delaware River Basin using Weighted Regressions on Time, Discharge, and Season (WRTDS) models, Seasonal Kendall Trend (SKT) tests, and multisource data, Water Year 1978-2018 (input data) Water-quality trends for rivers and streams in the Delaware River Basin using Weighted Regressions on Time, Discharge, and Season (WRTDS) models, Seasonal Kendall Trend (SKT) tests, and multisource data, Water Year 1978-2018 (output data) Water-quality and preceding precipitation data for low-flow and storm-event samples collected in Johnson County, Kansas, from January 2015 through November 2018 Water-quality and streamflow datasets used in Weighted Regressions on Time, Discharge, and Season (WRTDS) models to determine trends in the Nation’s rivers and streams, 1972-2017 (input data) Water-quality and streamflow datasets used in Weighted Regressions on Time, Discharge, and Season (WRTDS) models to determine trends in the Nation’s rivers and streams, 1972-2017 (output data) Field and laboratory data to determine lethal pesticide concentrations for control of invasive crayfish Field and laboratory data to determine lethal pesticide concentrations for control of invasive crayfish-Laboratory data Field and laboratory data to determine lethal pesticide concentrations for control of invasive crayfish-Field data Field and laboratory data to determine lethal pesticide concentrations for control of invasive crayfish-Laboratory data Field and laboratory data to determine lethal pesticide concentrations for control of invasive crayfish Field and laboratory data to determine lethal pesticide concentrations for control of invasive crayfish-Field data Storm characteristics, concentrations, and loads measured at the Coanda-effect treatment vault, Madison, Wisconsin (2016-17) Storm Characteristics, Concentrations, and Loads Measured at the Permeable Pavement Research Facility, Madison, Wisconsin (2014 - 2016) Water-quality data for base flow and storm runoff samples collected in Johnson County, Kansas, from January 2015 through June 2016 Water-quality and preceding precipitation data for low-flow and storm-event samples collected in Johnson County, Kansas, from January 2015 through November 2018 Water-quality trends for rivers and streams in the Delaware River Basin using Weighted Regressions on Time, Discharge, and Season (WRTDS) models, Seasonal Kendall Trend (SKT) tests, and multisource data, Water Year 1978-2018 (input data) Water-quality trends for rivers and streams in the Delaware River Basin using Weighted Regressions on Time, Discharge, and Season (WRTDS) models, Seasonal Kendall Trend (SKT) tests, and multisource data, Water Year 1978-2018 (output data) Water-quality and streamflow datasets used for estimating long-term mean daily streamflow and annual loads to be considered for use in regional streamflow, nutrient and sediment SPARROW models, United States, 1999-2014 Water-quality and streamflow datasets used in Weighted Regressions on Time, Discharge, and Season (WRTDS) models to determine trends in the Nation’s rivers and streams, 1972-2017 (output data) Water-quality and streamflow datasets used in Weighted Regressions on Time, Discharge, and Season (WRTDS) models to determine trends in the Nation’s rivers and streams, 1972-2017 (input data)