Search Data.gov
Found 326 dataset(s) matching "stormwater".
-
This dataset was created to support the Washington D.C. StreamStats project funded by the Washington D.C. Department of Energy and Environment (DOEE). The dataset contains digital elevation model...
-
This dataset was created to support the Washington D.C. StreamStats project funded by the Washington D.C. Department of Energy and Environment (DOEE). The dataset contains digital elevation model...
-
The U.S. Geological Survey’s StreamStats program is a publicly-accessible web application (https://streamstats.usgs.gov) that can be used to delineate drainage areas, compute basin...
-
<div style='text-align:Left;'><div><div><p><span>Stormwater impaired watersheds occuring on both the Priority Waters (Part D - Completed TMDL) and 303(d) list of waters (Part A - need TMDL) The...
-
Survey of major and trace elements in stormwater runoff from across the United States, 2016 to 2017.
This study focuses on providing a broad-scale assessment of composition of water chemistry in urban stormwater runoff. The stormwater runoff is a source of recharge to groundwater by Green...
-
This dataset contains results for samples collected at stormwater basins across the United States to assess the potential contaminant pathways of these basins to surface water and groundwater....
-
The spreadsheets that provide the unit and regional cost variables and equations for all of the green infrastructure and low impact development controls programmed into the National Stormwater...
-
Data associated with this publication includes stormwater model .inp and report files as well as GIS files for visualizing the results. The files are not allowed to be released due to a...
-
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...
-
<div>The Stormwater Retention Credit (SRC) Trading Program helps to leverage private investment in GI. SRCs, which are generated by GI or by removing impervious surfaces, can be sold on the market...
-
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...
-
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...
-
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...
-
This dataset contains model simulation results described in the article "Spatial analysis of future climate risk to stormwater infrastructure". Simulations were conducted for 2,509 weather...
-
Special Condition S8.D of the 2007-2012 Phase I Municipal Stormwater Permit required permittees to collect and analyze data to evaluate pollutant loadings of stormwater discharged from different...
-
<div>In an effort to raise awareness and incite behavior change around watershed and stormwater-related issues the District Department of Energy and Environment (DOEE) created the Community...
-
This data release documents the data and models used to assess flows, concentrations, and loads of highway and urban runoff and of stormwater within receiving streams in southern New England....
-
This data release documents statistics for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM). The U.S....
-
Data were obtained in order to evaluate differences among watersheds that vary in stormwater management practice arrangement by assessing differences in baseflow nutrient fluxes and stormflow...
-
This Geographic Information System dataset contains a shapefile of the stormwater drainage area boundaries for the 15 study watersheds in Gwinnett County, Georgia. Stormwater drainage areas were...