Filters: Tags: urban runoff (X) > Types: OGC WMS Layer (X)

Filters Date Range Past year (1) Past month (0) Past week (0) Past day (0) Custom range... To   Search Types Map Service (5) OGC WFS Layer (5) OGC WMS Service (5) Contacts U.S. Geological Survey - ScienceBase Water Resources Gregory A Wetherbee U.S. Geological Survey Gregory E Granato More... Categories Data (3) Software (1) Tag Types Theme (5) USGS Scientific Topic Keyword (4) Place (4) Harvest Set (5) Tag Schemes USGS Thesaurus (3) None (1) USGS Biocomplexity (1) GNIS (2) Geographic Names Information System (GNIS) (1) https://www.sciencebase.gov/vocab/category/item/browseCategory (1) View Results as: JSON ATOM CSV

Storm Characteristics, Concentrations, and Loads Measured at the Permeable Pavement Research Facility, Madison, Wisconsin (2014 - 2016) 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. Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Dane County, Madison, USGS Science Data Catalog (SDC), chloride, nutrients, All tags... permeable pavement, stormwater, total suspended solids, urban runoff, Fewer tags Stochastic Empirical Loading and Dilution Model (SELDM) software archive 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... Categories: Software; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Best Management Practice (BMP), Event Mean Concentration, Federal Highway Administration, Highway-Runoff Database, Hydrology, All tags... Land Use Change, SELDM, Stochastic Empirical Loading and Dilution Model, USGS Science Data Catalog (SDC), Urban Runoff, Water Quality, Water Resources, environment, highway runoff, runoff, stormwater, transportation, Fewer tags Application of the North Carolina Stochastic Empirical Loading and Dilution Model (SELDM) to Assess Potential Impacts of Highway Runoff In 2013, the U.S. Geological Survey (USGS) in partnership with the U.S. Federal Highway Administration (FHWA) published a new national stormwater quality model called the Stochastic Empirical Loading Dilution Model (SELDM; Granato, 2013). The model is optimized for roadway projects but in theory can be applied to a broad range of development types. SELDM is a statistically-based empirical model pre-populated with much of the data required to successfully run the application (Granato, 2013). The model uses Monte Carlo methods (as opposed to deterministic methods) to generate a wide range of precipitation events and stormwater discharges coupled with water-quality constituent concentrations and loads from the upstream... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Best Management Practice (BMP), Blue Ridge, Coastal Plain, Event Mean Concentration, Federal Highway Administration, All tags... Highway runoff, Highway-Runoff Database, Hydrology, North Carolina, Piedmont, Runoff, SELDM, State Highway, Stochastic Empirical Loading and Dilution Model, Stormwater, Streamflow, USGS Science Data Catalog (SDC), United States, Urban Runoff, Water Quality, Water Quality, Water Resources, Water Resources, chemical constituents, environment, highways and roads, physical constituents, stormwater, transportation, Fewer tags Soil characteristics and microbial taxonomy in selected urban stormwater best management practices (BMPs) in Clarksburg, MD, 2015 The data were gathered as a preliminary assessment of soil microbiology and conditions in selected urban stormwater best management practices (BMPs) in Clarksburg, MD. Four bioretention facilities (BF), four dry ponds (DP), and four surface sand filters (SSF) were selected. Three samples were taken from each BMP (a single sample from one dry swale (DS) was also collected). BMPs were selected based on their position along various stormwater treatment trains. Soil samples were taken after precipitation events in the summer of 2015 and analyzed for various soil chemistry parameters and microbial taxonomic profiling. Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Clarksburg, Land Use Change, Maryland, Montgomery County, Soil Sciences, All tags... USGS Science Data Catalog (SDC), bacteria, bacterial denitrifiers, best management practice (BMP), bioretention facility, denitrification, dry pond, dry swale, land use, microbes, microbial taxonomic community, microorganisms, soil chemistry, stormwater runoff, stormwater runoff, surface sand filter, urban runoff, urban stormwater, urbanization, Fewer tags Water-quality and stream discharge data for estimation of nitrogen loads in the South Platte River, Denver, CO, 2017-2018 The purpose of this data release is to provide the original data, analysis methods, and nitrogen loading models in support of a study of the upper South Platte River annual total nitrogen loads attributed to atmospheric deposition of reactive nitrogen during 2017-2018. The data release includes water-quality and stream discharge data and associated predictive regression models used in the estimation of South Platte River nitrogen loads upstream from Weldona, Colorado and sub-basin runoff coefficients for the reach between Chatfield Dam and the South Platte River at Denver gage. The water-quality data were obtained from monthly unfiltered grab samples collected by the Denver Department of Public Health and Environment... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: City of Denver, Hydrology, South Platte River, USGS Science Data Catalog (SDC), Water Quality, All tags... nitrogen, urban runoff, water quality, Fewer tags