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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.
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The Best Management Practices Statistical Estimator (BMPSE) was developed by the U.S. Geological Survey (USGS), in cooperation with the Federal Highway Administration (FHWA) Office of Project Delivery and Environmental Review to provide planning-level information about the performance of structural best management practices for decision makers, planners, and highway engineers to assess and mitigate possible adverse effects of highway and urban runoff on the Nation's receiving waters (Granato 2013, 2014; Granato and others, 2021a,b). The BMPSE was used to calculate statistics and create input files for fitting the trapezoidal distribution to data from studies documenting the performance of individual structural stormwater...
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Stormwater Action Monitoring (SAM) is a collaborative monitoring program between western Washington municipal stormwater permittees, state and federal agencies. SAM’s role is to use the results of regional monitoring and focused studies to inform policy decisions and identify effective strategies to improve stormwater management in the Puget Sound region. The SAM program includes status and trends monitoring of water quality, stream biota (macroinvertebrates, algae), and stream habitat to measure whether conditions are getting better or worse and identify patterns in healthy and impaired Puget Lowland streams. To meet this objective, a framework of fundamental geospatial data was required to develop physical and...
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This data release documents the location of intersections between roads and streams, referred to as road crossings, and associated basin characteristics to support highway-runoff mitigation analyses using the Stochastic Empirical Loading and Dilution Model (SELDM, Granato, 2013) in Connecticut, Massachusetts, and Rhode Island. The data set of road crossings was generated from the intersections of the U.S. Geological Survey (USGS) National Transportation Dataset (roads) and the StreamStats modified National Hydrography Dataset (streams) and in addition to the three-state study area, includes areas of New York, Vermont, and New Hampshire that are within drainages that cover the three states. Pertinent basin characteristics...
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This tabular dataset includes precipitation data, inflow and outflow data, and other associated data for a bioretention garden in Douglas County, Nebraska. At the Eastern Nebraska Office on Aging (ENOA) bioretention garden the components of the water balance that were measured or calculated were precipitation volume, stormwater inflow volume to bioretention garden, were overflow volume, and evapotranspiration. The performance of the bioretention gardens was evaluated for a series of rainfall events. The start of an event was determined based on when rainfall began at the site. The end of an event was determined based on when the water level was equal to zero in the stilling well of the inflow flume or when the water...
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Impervious runoff-discharge to receiving streams is widely recognized as one of the leading factors contributing to ecological degradation in such streams. Although there are many factors that contribute to ecological degradation with increasing development adverse effects caused by runoff quality is widely recognized as a contributing factor. The objective of this study was to simulate the flows concentrations and loads of impervious-area runoff and stormflows from an undeveloped area over a range of impervious percentages and drainage areas to examine potential relations between these variables and the quantity and quality of downstream flows. Stormwater runoff in a hypothetical stream basin that represents hydrologic...
This data release documents statistics for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM)(Granato, 2013). The U.S. Geological Survey (USGS) developed SELDM and the statistics documented in this report in cooperation with the Federal Highway Administration (FHWA) to indicate the risk for stormwater flows, concentrations, and loads to be above user-selected water-quality goals and the potential effectiveness of mitigation measures to reduce such risks. In SELDM, three treatment variables, hydrograph extension, runoff volume reduction, and water-quality treatment are modeled by using the trapezoidal distribution and the rank...
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The Highway-Runoff Database (HRDB) was developed by the U.S. Geological Survey (USGS), in cooperation with the Federal Highway Administration (FHWA) Office of Project Delivery and Environmental Review to provide planning-level information for decision makers, planners, and highway engineers to assess and mitigate possible adverse effects of highway runoff on the Nation's receiving waters (Granato and Cazenas, 2009; Granato, 2013; Granato and others, 2018). The HRDB was assembled by using a Microsoft Access database application to facilitate use of the data and to calculate runoff-quality statistics with methods that properly handle censored-concentration data. The HRDB was first published as version 1.0 in cooperation...
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Introduction Ongoing efforts to improve the health of New York's South Shore Estuary Reserve (SSER) require continuously recorded water-quality data to understand the short-term effects of stormwater runoff and other pollution sources. To document the diel and tidal variability of water quality in the western bays of the SSER, the USGS monitors select physical and chemical parameters at two sites within the SSER. One site, station 01310740 on Reynolds Channel at Point Lookout, is near the estuary mouth and operated in cooperation with the New York State Department of Environmental Conservation (NYSDEC) and Town of Hempstead Department of Conservation & Waterways. The second, station 01311143...
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This dataset describes water-quality data measured from the parking lot influent and underdrain and overflow effluent from the porous asphalt, pervious concrete, and permeable interlocking concrete paver test plots in Madison, Wisconsin, USA. Data include precipitation statistics; influent, overflow, and underdrain volumes; and concentrations and loads of total and dissolved forms of solids, nutrients, chloride, metals, and bacteria. Samples were collected in September 2016 through July 2018. These data are interpreted in the Journal of Environmental Management.
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The Stochastic Empirical Loading and Dilution Model (SELDM) was developed by the U.S. Geological Survey (USGS), in cooperation with the Federal Highway Administration (FHWA) Office of Project Delivery and Environmental Review to transform complex scientific data into meaningful information about the risk of adverse effects of runoff on receiving waters, the potential need for mitigation measures, and the potential effectiveness of such management measures for reducing these risks (Granato 2013; Granato and Jones, 2014). SELDM is a stochastic model because it uses Monte Carlo methods to produce the random combinations of input variable values needed to generate the stochastic population of values for each component...
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This tabular dataset includes measurements of net radiation, air temperature, relative humidity, wind speed, and calculated reference evapotranspiration (ET0) for a bioretention garden in Douglas County, Nebraska.To determine the amount of water that was lost to the atmosphere, evapotranspiration (ET) was calculated at the Douglas County Health Center (DCHC) bioretention garden by scaling the reference evapotranspiration (ET0) by a landscape coefficient. Measurements of net radiation, air temperature, relative humidity, and wind speed were used to calculate daily ET0 using the Penman-Monteith equation (Monteith and Unsworth, 1990; Allen and others, 1998). Reference evapotranspiration represents ET, in inches, over...
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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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Nitrapyrin is a nitrification inhibitor that is co-applied with N-fertilizer in agroecosystems. Over the course of one year (March 2016 to June 2017), 192 water samples from seven streams across Iowa and Illinois were analyzed for nitrapyrin, its degradate 6-chloropicolinic acid (6-CPA), and three widely used herbicides acetochlor, atrazine, and metolachlor. Additional environmental samples were collected and analyzed in spring 2017: 63 water samples from eight subsurface drains, and 33 soil samples from a field in Iowa that received direct application of nitrapyrin (only for nitrapyrin and herbicides). Nitrapyrin was detected in all seven streams (56% detection) with concentrations ranging from 4 to 1,200 ng/L;...
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The Highway-Runoff Database (HRDB) was developed by the U.S. Geological Survey (USGS), in cooperation with the Federal Highway Administration (FHWA) to provide planning-level information for decision makers, planners, and highway engineers to assess and mitigate possible adverse effects of highway runoff on the Nation's receiving waters. The HRDB was assembled by using a Microsoft Access database application to facilitate use of the data and to calculate runoff-quality statistics with methods that properly handle censored-concentration data. This data release provides highway-runoff data, including information about monitoring sites, precipitation, runoff, and event-mean concentrations of water-quality constituents....


map background search result map search result map South Shore Estuary Reserve Total Maximum Daily Load Monitoring Watershed boundaries for the Puget Sound Stormwater Action Monitoring small stream status and trends project 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) Nitrapyrin, 6-CPA, and herbicide concentrations in agricultural soils, subsurface drains, and corresponding streams in the Midwestern US Highway-Runoff Database (HRDB) Version 1.0.0b Highway-Runoff Database (HRDB) Version 1.1.0 Stormwater-quality data for lined permeable pavement systems in Madison, WI, from September 2016 through July 2018 Model archive for analysis of the effects of impervious cover on receiving-water quality with the Stochastic Empirical Loading Dilution Model (SELDM) DCHC--meterology and ET ENOA--water balance events summary Statistics for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM) Best Management Practices Statistical Estimator (BMPSE) Version 1.2.0 Basin characteristics and point locations of road crossings in Connecticut, Massachusetts, and Rhode Island for highway-runoff mitigation analyses using the Stochastic Empirical Loading and Dilution Model Stochastic Empirical Loading and Dilution Model (SELDM) software archive DCHC--meterology and ET ENOA--water balance events summary Stormwater-quality data for lined permeable pavement systems in Madison, WI, from September 2016 through July 2018 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 South Shore Estuary Reserve Total Maximum Daily Load Monitoring Watershed boundaries for the Puget Sound Stormwater Action Monitoring small stream status and trends project Model archive for analysis of the effects of impervious cover on receiving-water quality with the Stochastic Empirical Loading Dilution Model (SELDM) Basin characteristics and point locations of road crossings in Connecticut, Massachusetts, and Rhode Island for highway-runoff mitigation analyses using the Stochastic Empirical Loading and Dilution Model Nitrapyrin, 6-CPA, and herbicide concentrations in agricultural soils, subsurface drains, and corresponding streams in the Midwestern US Stochastic Empirical Loading and Dilution Model (SELDM) software archive Highway-Runoff Database (HRDB) Version 1.0.0b Highway-Runoff Database (HRDB) Version 1.1.0 Statistics for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM) Best Management Practices Statistical Estimator (BMPSE) Version 1.2.0