New England Water Science Center
Email:
ggranato@usgs.gov
Office Phone:
508-490-5055
ORCID:
0000-0002-2561-9913
Location
10 Bearfoot Road
Northborough
, MA
01532
US
Supervisor:
Robert W Dudley
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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...
Categories: Software;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Best Management Practice (BMP),
Ecology,
Environmental Health,
Event Mean Concentration,
Federal Highway Administration, All tags...
Hydrology,
Land Use Change,
SELDM,
Software,
Stochastic Empirical Loading and Dilution Model,
USGS Science Data Catalog (SDC),
Water Quality,
Water Resources,
environment,
highway runoff,
inlandWaters,
runoff,
stormwater,
transportation, Fewer tags
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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...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Best Management Practice (BMP),
Ecology,
Environmental Health,
Event Mean Concentration,
Federal Highway Administration, All tags...
Hydrology,
SELDM,
Stochastic Empirical Loading and Dilution Model,
USGS Science Data Catalog (SDC),
Water Quality,
environment,
highway runoff,
inlandWaters,
runoff,
stormwater,
transportation, Fewer tags
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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...
Tags: Connecticut,
Massachusetts,
New England,
Rhode Island,
SELDM, All tags...
Stochastic Empirical Loading and Dilution Model,
USGS Science Data Catalog (SDC),
Water Quality,
Water Resources,
basin characteristics,
environment,
highway runoff,
inlandWaters,
runoff,
stormwater,
transportation, Fewer tags
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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...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Ecology,
Environmental Health,
Hydrology,
Land Use Change,
New England, All tags...
Northeastern Coastal Zone,
Runoff,
Stochastic Empirical Loading and Dilution Model,
Stormwater,
Total Phosphorus,
USGS Science Data Catalog (SDC),
United States,
Water Quality,
Water Resources,
inlandWaters, Fewer tags
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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...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Environmental Health,
Federal Highway Administration,
Highway-Runoff Database,
Hydrology,
Information Sciences, All tags...
Land Use Change,
SELDM,
Stochastic Empirical Loading and Dilution Model,
Stormwater,
USGS Science Data Catalog (SDC),
Water Quality,
Water Resources,
event mean concentration,
highway runoff,
runoff, Fewer tags
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