Filters: Tags: Stormwater (X) > partyWithName: U.S. Geological Survey (X)
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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,
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,
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...
Categories: Data;
Tags: Best Management Practice,
Bioretention,
Douglas County,
Green Infrastructure,
Omaha NE,
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...
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...
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,
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...
Categories: Data;
Tags: Best Management Practice,
Bioretention,
Douglas County,
Green Infrastructure,
Omaha NE,
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.
Categories: Data;
Tags: Madison,
Sycamore Park,
USGS Science Data Catalog (SDC),
Water Quality,
metals,
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,
This data release contains results of a high-water mark survey across the five boroughs of New York City following flash flooding caused by the remnants of Hurricane Ida, September 1, 2021. The survey was conducted between September 7 and November 23, 2021, and is based on observations of mud, debris, and seed lines left by the flooding. Real time and static GNSS surveying as well as available lidar data were used to determine high-water mark elevations at 83 locations. Additional data associated with Hurricane Ida flooding can be found in the USGS Flood Event Viewer, https://stn.wim.usgs.gov/fev/#2021Ida
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Climate Change,
Climate Impacts,
Flood Hazards,
Flood Inundation,
Flood Science,
These data were collected as part of a study to assess the stormwater volume reduction capabilities of urban street trees. In this paired-catchment study rainfall-runoff relations were developed in a medium-density residential area before and after half of the street trees were removed from the treatment basin. The Supplementary_Event_Data set contains rainfall depth and intensity, event date and duration, and paired runoff volume and peak discharge for 135 rainfall events that ocurred between May and September 2018-2020. Unit value discharge and rainfall data used to develop the Supplementary_Event_Data are also published in this data release.
Categories: Data;
Tags: Ecology,
Fond du Lac,
USGS Science Data Catalog (SDC),
Wisconsin,
arboriculture,
Municipal Separate Storm Sewer System (MS4) permitees including the California Department of Transportation need information about potential loads and yields (loads per unit area) of constituents of concern in stormwater runoff. These entities also need information about the potential effectiveness of stormwater best management practices (BMPs) used to mitigate the effects of runoff. This information is needed to address total maximum daily load (TMDL) regulations. This model archive describes approaches used by the U.S. Geological Survey in cooperation with CalTrans for assessing long-term annual yields of highway and urban runoff in selected areas of California with version 1.1.0 of the Stochastic Empirical Loading...
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 Eastern Nebraska Office on Aging (ENOA) 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,...
Categories: Data;
Tags: Best Management Practice,
Bioretention,
Douglas County,
Green Infrastructure,
Omaha NE,
The remnants of Hurricane Ida produced significant rainfall over the five boroughs of New York City (NYC) for several hours on September 1st, 2021. The long-duration, high-intensity rainfall resulted in extensive inundation of streets, buildings, subways, and other public spaces. In response to a Federal Emergency Management Agency (FEMA) mission assignment, the U.S. Geological Survey (USGS) identified and surveyed high-water marks (HWMs) at 83 locations across NYC to document the peak water elevation in impacted areas (Capurso and others, 2023). This data release contains maps of water-depth and inundation extents for areas within 250 meters of surveyed HWM locations. These depth maps assume a constant water-surface...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: Bronx County, NY,
Flood Hazards,
Flood Inundation,
Flood Science,
Flood-inundation mapping,
The data set contains results from leaf litter samples analyzed for total phosphorus (TP) and total dissolved phosphorus (TDP) released from Green Ash (Fraxinus pennsylvanica) and Norway Maple (Acer platanoides) leaves in three medium-density urban residential basins in Madison, WI, USA during October and November of 2017 and 2018. Tables contain averages and standard deviations for all replicates from TP and TDP leaching tests, fraction of TDP released within 48 hours, and average TDP release rate.
Categories: Data;
Tags: Madison,
USGS Science Data Catalog (SDC),
Water Quality,
nutrient leaching dynamics,
species-effects,
This dataset describes streamflow and precipitation event statistics for four watersheds located in Clarksburg, Maryland, USA. Streamflow and precipitation events were identified from fourteen years of sub-daily (5- and 15-minute) monitoring data from October 1, 2004 through September 30, 2018. A 6-hour inter-event window was used to define discrete streamflow and precipitation events. The following streamflow metrics were calculated for each event area normalized peak streamflow, runoff yield, runoff ratio, streamflow duration, time to peak, and rise rate. Precipitation event metrics include total precipitation depth and precipitation event duration.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Clarksburg,
Germantown,
Hydrology,
Land Change Science,
Land Use Change,
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...
This data release contains results of a high-water mark survey across Upstate New York following flash flooding during July 9-10, 2023. The survey was conducted between July 12 and September 20, 2023 by U.S. Geological Survey (USGS) personnel, and is based on surveyed elevations of mud, debris, and seed lines (Koenig and others, 2016) left by the flooding. Real-time and static Global Navigation Satellite System (GNSS) surveying (Rydlund and Densmore, 2012), combined with differential leveling (Kenney, 2010), were used to determine high-water mark elevations at 186 locations. Additional data associated with the July 2023 flooding, such as photos of the survey locations, can be found in the USGS Flood Event Viewer,...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Climate Change,
Climate Impacts,
Flood Hazards,
Flood Inundation,
Flood Mitigation assessment,
This U.S. Geological Survey data release contains datasets that combine past data with future projections of nitrogen sources and nitrogen export to the Chesapeake Bay watershed for the years 1950-2050. To help understand the effect of human and environmental changes over this time period, data for nitrogen sources from wastewater, agricultural fertilizer and manure, and atmospheric deposition are combined with datasets of population and land use. These datasets were used in conjunction with a previously calibrated SPAtially Referenced Regression On Watershed attributes (SPARROW) modeling tool to estimate the mean annual loads of total nitrogen to the Chesapeake Bay and nontidal stream reaches in the watershed at...
Nitrogen (N), phosphorus (P), and total suspended solids (TSS) loads, in Hampton Roads, Virginia stormwater conveyance systems have been calculated using monitoring data from 12 intensively monitored watersheds for the period from water year (October - September) 2016 through 2020. Nutrient and TSS loads were computed using a surrogate (multiple-linear regression) approach with lab analyzed N, P, and TSS samples as the response variable and basic water-quality parameters (e.g. turbidity, specific conductance, water temperature), streamflow, a baseflow separation Boolean term, and time and seasonal terms as predictor (surrogate) variables. Load results represent the mass of N, P, and TSS exported from each of the...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Coastal Plain,
Hampton Roads,
USGS Science Data Catalog (SDC),
Virginia,
Water Quality,
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