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Gregory Granato (Former Employee)

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Photograph of bridge-deck scuppers draining into the Charles River on State Route 2A in Boston

Transportation-Related Water Projects in New England

The New England Water Science Center collects data and does interpretive studies on hydrology, hydraulics, and water quality in cooperation with the Federal Highway Administration and State Departments of Transportation (DOTs) in New England and other states.
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New England Water Science Center
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Transportation-Related Water Projects in New England

The New England Water Science Center collects data and does interpretive studies on hydrology, hydraulics, and water quality in cooperation with the Federal Highway Administration and State Departments of Transportation (DOTs) in New England and other states.
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Transportation-Related Water Projects

The USGS has a long history of cooperative investigations with the Federal Highway Administration (FHWA) and state highway agencies to provide data and information to address various issues related to water resources and the Nation’s transportation infrastructure. These issues cover a wide spectrum and include items such as regional flow statistics, flood documentation, regional stream...
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Water Resources Mission Area
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Transportation-Related Water Projects

The USGS has a long history of cooperative investigations with the Federal Highway Administration (FHWA) and state highway agencies to provide data and information to address various issues related to water resources and the Nation’s transportation infrastructure. These issues cover a wide spectrum and include items such as regional flow statistics, flood documentation, regional stream...
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USGS

SELDM: Stochastic Empirical Loading and Dilution Model - Project page

Note: SELDM is now on version 1.1.1.
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New England Water Science Center
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SELDM: Stochastic Empirical Loading and Dilution Model - Project page

Note: SELDM is now on version 1.1.1.
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USGS

Stochastic Empirical Loading and Dilution Model (SELDM) Transportation Research Board Presentation

Note: SELDM is now on version 1.0.3 Please use the new version on the software support page here
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New England Water Science Center
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Stochastic Empirical Loading and Dilution Model (SELDM) Transportation Research Board Presentation

Note: SELDM is now on version 1.0.3 Please use the new version on the software support page here
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USGS

National Highway Runoff Water-Quality Data and Methodology Synthesis (NDAMS)

Knowledge of the characteristics of highway runoff (concentrations and loads of constituents and the physical and chemical processes that produce this runoff) is important for decisionmakers, planners, and highway engineers to assess and mitigate possible adverse impacts of highway runoff on the Nation's receiving waters. This project was done by the U.S. Geological Survey (USGS) in cooperation...
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New England Water Science Center
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National Highway Runoff Water-Quality Data and Methodology Synthesis (NDAMS)

Knowledge of the characteristics of highway runoff (concentrations and loads of constituents and the physical and chemical processes that produce this runoff) is important for decisionmakers, planners, and highway engineers to assess and mitigate possible adverse impacts of highway runoff on the Nation's receiving waters. This project was done by the U.S. Geological Survey (USGS) in cooperation...
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USGS

FHWA 1990 "Driscoll" Model Pollutant Loadings and Impacts from Highway Stormwater Runoff

Go to the project web page at SELDM.html
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New England Water Science Center
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FHWA 1990 "Driscoll" Model Pollutant Loadings and Impacts from Highway Stormwater Runoff

Go to the project web page at SELDM.html
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Model Archive for Analysis of Flows, Concentrations, and Loads of Highway and Urban Runoff and Receiving-Stream Stormwater in Southern New England with the Stochastic Empirical Loading and Dilution Model (SELDM)

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. There are more than 48,000 locations in southern New England where roads cross streams and many more locations where runoff from developed areas may discharge to receiving streams; information about runoff di
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New England Water Science Center

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 pr
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South Atlantic Water Science Center (SAWSC)

Model archive for Assessing long-term annual yields of highway and urban runoff in selected areas of California with the Stochastic Empirical Loading Dilution Model (SELDM)

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 informat
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New England Water Science Center

Statistics for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM)

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, con
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New England Water Science Center, New England Water Science Center

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

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
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New England Water Science Center

Model archive for analysis of the effects of impervious cover on receiving-water quality with the Stochastic Empirical Loading Dilution Model (SELDM)

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
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New England Water Science Center, New England Water Science Center

Assessing Water Quality from Highway Runoff at Selected Sites in North Carolina with the Stochastic Empirical Loading and Dilution Model (SELDM)

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). 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 w
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South Atlantic Water Science Center (SAWSC), StreamStats

Highway-Runoff Database (HRDB) Version 1.0.0b

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
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New England Water Science Center

Streamflow statistics calculated from daily mean streamflow data collected during water years 19012015 for selected U.S. Geological Survey streamgages

In 2016, non-interpretive streamflow statistics were compiled for streamgages located throughout the Nation and stored in the StreamStatsDB database for use with StreamStats and other applications. Two previously published USGS computer programs that were designed to help calculate streamflow statistics were updated to better support StreamStats as part of this effort. These programs are named GNW
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Water Resources Mission Area
Filter Total Items: 56

Development of the North Carolina stormwater-treatment decision-support system by using the Stochastic Empirical Loading and Dilution Model (SELDM)

The Federal Highway Administration and State departments of transportation nationwide need an efficient method to assess potential adverse effects of highway stormwater runoff on receiving waters to optimize stormwater-treatment decisions. To this end, the U.S. Geological Survey, in cooperation with the Federal Highway Administration and the North Carolina Department of Transportation (NCDOT), dev
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Gregory E. Granato, Charles C. Stillwell, J. Curtis Weaver, Andrew H. McDaniel, Brian S. Lipscomb, Susan C. Jones, Ryan M. Mullins
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Water Resources Mission Area, New England Water Science Center, South Atlantic Water Science Center (SAWSC)

Approaches for assessing flows, concentrations, and loads of highway and urban runoff and receiving-stream stormwater in southern New England with the Stochastic Empirical Loading and Dilution Model (SELDM)

The Stochastic Empirical Loading and Dilution Model (SELDM) was designed to help quantify 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. SELDM is calibrated using representative hydrological and water-quality input statistics. This report by the U.S. Geologi
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Gregory E. Granato, Alana B. Spaetzel, Lillian C. Jeznach
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Water Resources Mission Area, New England Water Science Center

Assessing potential effects of climate change on highway-runoff flows and loads in southern New England by using planning-level space-for-time analyses

Transportation agencies need information about the potential effects of climate change on the volume, quality, and treatment of stormwater to mitigate potential effects of runoff on receiving waters. To address these concerns, the U.S. Geological Survey and the Federal Highway Administration used the Coupled Model Intercomparison Project tool and the Stochastic Empirical Loading and Dilution Model
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Lillian C. Jeznach, Gregory E. Granato, Daniel Sharar-Salgado, Susan C. Jones, Daniel Imig
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Water Resources Mission Area, New England Water Science Center

Assessing the impact of chloride deicer application in the Siskiyou Pass, southern Oregon

Chloride deicers have been applied by the Oregon Department of Transportation (ODOT) to Interstate Route 5 (I–5) from the Oregon-California border north to mile marker 10 for several years in the high-elevation area known as the Siskiyou Pass. Magnesium chloride (MgCl2) and sodium chloride (NaCl) are applied to keep the interstate highway safe for drivers and allow for efficient transport of goods
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Adam J. Stonewall, Matthew C. Yates, Gregory E. Granato
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Water Resources Mission Area, New England Water Science Center, Oregon Water Science Center

Approaches for assessing long-term annual yields of highway and urban runoff in selected areas of California with the Stochastic Empirical Loading and Dilution Model (SELDM)

The California Department of Transportation, commonly known as CalTrans, and other municipal separate storm sewer system permittees in California as well as other State departments of transportation nationwide need information about potential loads and yields (loads per unit area) of constituents of concern in stormwater runoff and discharges from stormwater best management practices (BMPs). Altho
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Gregory E. Granato, Paul J. Friesz
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Water Resources Mission Area, New England Water Science Center

Statistical methods for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM)

This report documents statistics for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM). The U.S. Geological Survey developed SELDM and the statistics documented in this report in cooperation with the Federal Highway Administration to indicate the risk for stormwater flows, concentrations, and loads to exceed us

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Gregory E. Granato, Alana B. Spaetzel, Laura Medalie
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Water Resources Mission Area, New England Water Science Center

Comparison of SELDM simulated total-phosphorus concentrations with ecological impervious-area criteria

Ecological studies indicate that impervious cover (IC) greater than approximately 5%–20% may have adverse effects on receiving-stream ecology. It is difficult to separate the effects of runoff quality from other effects of urbanization on receiving streams. This study presents the results of a numerical experiment to assess the effects of increasing IC on water quality using the Stochastic Empiric
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Lillian C. Jeznach, Gregory E. Granato
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Water Resources Mission Area, New England Water Science Center

Assessing potential effects of highway and urban runoff on receiving streams in total maximum daily load watersheds in Oregon using the stochastic empirical loading and dilution model

The Stochastic Empirical Loading and Dilution Model (SELDM) was developed by the U.S. Geological Survey (USGS) in cooperation with the Federal Highway Administration to simulate stormwater quality. To assess the effects of runoff, SELDM uses a stochastic mass-balance approach to estimate combinations of pre-storm streamflow, stormflow, highway runoff, event mean concentrations (EMCs) and stormwate
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Adam J. Stonewall, Gregory E. Granato, Kira M. Glover-Cutter
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Water Resources Mission Area, Oregon Water Science Center, New England Water Science Center

Assessing water quality from highway runoff at selected sites in North Carolina with the Stochastic Empirical Loading and Dilution Model (SELDM)

In 2015, the U.S. Geological Survey (USGS) entered into a cooperative agreement with the North Carolina Department of Transportation (NCDOT) to develop a North Carolina-enhanced variation of the national Stochastic Empirical Loading and Dilution Model (SELDM) with available North Carolina-specific streamflow and water-quality data and to demonstrate use of the model by documenting selected simulat
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J. Curtis Weaver, Gregory E. Granato, Sharon A. Fitzgerald
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Water Resources Mission Area, South Atlantic Water Science Center (SAWSC), New England Water Science Center

Simulating runoff quality with the highway-runoff database and the Stochastic Empirical Loading and Dilution Model

Stormwater practitioners need quantitative information about the quality and volume of highway runoff to assess and mitigate potential adverse effects of runoff on the Nation’s receiving waters. The U.S. Geological Survey developed the Highway Runoff Database (HRDB) in cooperation with the FHWA to provide practice-ready information to meet these information needs on the local or national scale. Th
Authors
Gregory E. Granato, Susan C. Jones
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Water Resources Mission Area, New England Water Science Center

User guide for the Massachusetts Sustainable-Yield Estimator (MA SYE—version 2.0) computer program

This report is a user guide for the Massachusetts Sustainable-Yield Estimator (MA SYE) computer program (version 2.0). The MA SYE was developed by the U.S. Geological Survey in cooperation with the Massachusetts Department of Environmental Protection to provide a planning-level decision-support tool designed to help decision makers estimate daily mean streamflows and selected streamflow statistics
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Gregory E. Granato, Sara B. Levin
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Water Resources Mission Area, New England Water Science Center

Methods used to estimate daily streamflow and water availability in the Massachusetts Sustainable-Yield Estimator version 2.0

The Massachusetts Sustainable-Yield Estimator is a decision support tool that provides estimates of daily unaltered streamflow, water-use-adjusted streamflow, and water availability for ungaged, user-defined basins in Massachusetts. Daily streamflow at the ungaged site is estimated for unaltered (no water use) and water-use scenarios. The procedure for estimating streamflow was developed previousl
Authors
Sara B. Levin, Gregory E. Granato
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Water Resources Mission Area, New England Water Science Center

Non-USGS Publications**

Granato, G.E., Church, P.E., and Stone V.J., 1995, Mobilization of Major and Trace Constituents of Highway Runoff in Groundwater Potentially Caused by Deicing-Chemical Migration, Transportation Research Record 1483: Transportation Research Board, National Research Council, Washington D.C., p. 92-104
Church, P.E., and Granato, G.E., 1996, Bias in groundwater data caused by well-bore flow in long-screen wells: Groundwater, Vol. 34, No. 2, p. 262-273. https://dx.doi.org/10.1111/j.1745-6584.1996.tb01886.x
Granato, G.E., 1996, Deicing chemicals as a source of constituents in highway runoff: Transportation Research Record 1533, Transportation Research Board, National Research Council, Washington D.C., p. 50-58. https://doi.org/10.3141/1533-08
Bank, F.G., Cazenas P.A., Cutshall, C.D., Granato, G.E., Iyer B., Jongedyk, H., Palumbo, V.J., Prendergast G., Salter, J., Storey B., Young, G.K., 1997, Water Quality and Hydrology: in Environmental Research Needs in Transportation, Transportation Research Circular 469, Transportation Research Board, National Research Council, Washington D.C. p. 73-80.
Granato, G.E., and Smith, K.P., 1999, Robowell An automated process for monitoring groundwater quality using established sampling protocols. Groundwater Monitoring and Remediation, v. 19, no. 4, p. 81-89. https://dx.doi.org/10.1111/j.1745-6592.1999.tb00243.x
Buckler, D.R., and Granato, G.E., 1999, Assessing biological effects from highway-runoff constituents: U.S. Geological Survey Open File Report 99-240, 45 p. https://pubs.usgs.gov/of/1999/ofr99-240/

**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.

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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,
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New England Water Science Center

Best Management Practices Statistical Estimator (BMPSE) Version 1.2.0

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 mitigat
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New England Water Science Center

InterpretSELDM version 1.0 The Stochastic Empirical Loading and Dilution Model (SELDM) output interpreter

The InterpretSELDM program is a graphical post processor designed to facilitate analysis and presentation of stormwater modeling results from the Stochastic Empirical Loading and Dilution Model (SELDM), which is a stormwater model developed by the U.S. Geological Survey in cooperation with the Federal Highway Administration. SELDM simulates flows, concentrations, and loads in stormflows from upstr
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New England Water Science Center

Highway-Runoff Database (HRDB) Version 1.1

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
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New England Water Science Center

Connecticut Streamflow and Sustainable Water Use Estimator (CTSSWUE Version 1.0) application software

This software release provides the database application that runs the Connecticut Streamflow and Sustainable Water Use Estimator (CT SSWUE) computer program (version 1.0). The CT SSWUE was developed by the U.S. Geological Survey, in cooperation with the Connecticut Department of Energy and Environmental Protection, to provide a planning-level decision-support tool designed to help decision makers
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New England Water Science Center

Massachusetts Sustainable-Yield Estimator (MASYE) application software (version 2.0)

This software release provides the database application that runs the Massachusetts Sustainable-Yield Estimator (MA SYE) computer program (version 2.0). The MA SYE was developed by the U.S. Geological Survey, in cooperation with the Massachusetts Department of Environmental Protection, to provide a planning-level decision-support tool designed to help decision makers estimate daily mean streamflow
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New England Water Science Center

Massachusetts Sustainable-Yield Estimator (MASYE) application software (version 2.0)

This software release provides the database application that runs the Massachusetts Sustainable-Yield Estimator (MA SYE) computer program (version 2.0).

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New England Water Science Center

Connecticut Streamflow and Sustainable Water Use Estimator (CTSSWUE Version 1.0) application software

This software release provides the database application that runs the Connecticut Streamflow and Sustainable Water Use Estimator (CT SSWUE) computer program (version 1.0).

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New England Water Science Center

HyDroDSS: Hydrologic Drought Decision Support System - Software page

The HyDroDSS is designed to provide water managers with risk-based information for balancing water-supply needs and aquatic-habitat protection goals to mitigate potential effects of hydrologic drought.

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New England Water Science Center, Drought

SELDM: Stochastic Empirical Loading and Dilution Model - Software page

Overview

The Stochastic Empirical Loading and Dilution Model (SELDM) is designed 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.

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New England Water Science Center, Oregon Water Science Center

HRDB: Highway Runoff DataBase - Software page

Overview

The highway-runoff database (HRDB) was developed to serve as a data warehouse for current and future highway-runoff data sets. The database can be used by transportation agencies and researchers as a data warehouse to document information about a data set, monitoring site(s), highway-runoff data (including precipitation, runoff, and event mean concentrations).

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New England Water Science Center

SWQDM: Surface Water Quality Data Miner - Software page

Overview

The SWQDM database application was developed by the U.S. Geological Survey in cooperation with the Federal Highway Administration for use in the analysis of regional and national hydrologic data sets. The surface-water quality data miner (SWQDM) database application was developed to coordinate use of NWIS Web, NWiz, and the Kendall-Theil Robust Line analysis software.

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New England Water Science Center
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Deicing New England’s Roads, Parking Areas, and Walkways is Changing the Region’s Water Quality

New England winters are synonymous with low temperatures, snowfall, and freezing rain. And, unless you plan on staying cozied up by the fire for the...

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New publication by New England WSC Staff

Gregory Granato of the NEWSC and Susan Jones of the Federal Highway Administration recently published an article in the National Academies of Sciences...

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