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 characteristics, bridge scour, and water‐quality assessments. Each year, the USGS prepares a summary of its activities that may be of Interest to the FHWA and state highway agencies and presents them at the Transportation Research Board meeting of the Hydraulics and Hydrology Committee.
- USGS 2020 Highway Programs
- USGS 2019 Highway Programs
- USGS 2018 Highway Programs
- USGS 2017 Highway Programs
- USGS 2016 Highway Programs
- USGS 2015 Highway Programs
- USGS 2014 Highway Programs
- USGS 2013 Highway Programs
- USGS 2012 Highway Programs
- USGS 2011 Highway Programs
- USGS 2010 Highway Programs
- USGS 2009 Highway Programs
- USGS 2008 Highway Programs
- USGS 2007 Highway Programs
- USGS 2006 Highway Programs
- USGS 2005 Highway Programs
- USGS 2004 Highway Programs
Below are links to transported-related water projects.
Transportation-Related Water Projects in New England
StreamStats: Streamflow Statistics and Spatial Analysis Tools for Water-Resources Applications
USGS Flood Information
Groundwater and Streamflow Information Program
SELDM: Stochastic Empirical Loading and Dilution Model - Project page
Effects of Highway Runoff on Water Quality
Determination of Changes in Water Quality, Streambed Sediment, and Benthic Macroinvertebrates as a Result of Stormwater Runoff from Selected Bridges in South Carolina
Bridge Scour Countermeasures
Below are data or web applications that provide support for transported-related water issues.
Application of the North Carolina Stochastic Empirical Loading and Dilution Model (SELDM) to Assess Potential Impacts of Highway Runoff
WaterNow
The USGS WaterNow service lets users receive current conditions for USGS water-data-collection stations on demand via email or cell-phone text message. The user sends an email or text message containing a USGS current-conditions gaging site number, and will quickly receive a reply with the station's most recent data for one or more of its monitored parameters.
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
Below are links to transported-related water publications.
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)
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
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
Assessing water quality from highway runoff at selected sites in North Carolina with the Stochastic Empirical Loading and Dilution Model (SELDM)
Assessing potential effects of highway runoff on receiving-water quality at selected sites in Oregon with the Stochastic Empirical Loading and Dilution Model (SELDM)
Stochastic empirical loading and dilution model (SELDM) version 1.0.0
Estimating basin lagtime and hydrograph-timing indexes used to characterize stormflows for runoff-quality analysis
Kendall-Theil Robust Line (KTRLine--version 1.0)-A Visual Basic Program for Calculating and Graphing Robust Nonparametric Estimates of Linear-Regression Coefficients Between Two Continuous Variables
Below are data or web applications that provide support for transported-related water issues.
WaterAlert
The U.S. Geological Survey WaterAlert service provides notifications to your email or phone for changes in water conditions based on thresholds you choose.
Below are software applications that provide support for transported-related water issues.
Stochastic Empirical Loading and Dilution Model (SELDM) software archive
InterpretSELDM version 1.0 The Stochastic Empirical Loading and Dilution Model (SELDM) output interpreter
- Overview
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 characteristics, bridge scour, and water‐quality assessments. Each year, the USGS prepares a summary of its activities that may be of Interest to the FHWA and state highway agencies and presents them at the Transportation Research Board meeting of the Hydraulics and Hydrology Committee.
- USGS 2020 Highway Programs
- USGS 2019 Highway Programs
- USGS 2018 Highway Programs
- USGS 2017 Highway Programs
- USGS 2016 Highway Programs
- USGS 2015 Highway Programs
- USGS 2014 Highway Programs
- USGS 2013 Highway Programs
- USGS 2012 Highway Programs
- USGS 2011 Highway Programs
- USGS 2010 Highway Programs
- USGS 2009 Highway Programs
- USGS 2008 Highway Programs
- USGS 2007 Highway Programs
- USGS 2006 Highway Programs
- USGS 2005 Highway Programs
- USGS 2004 Highway Programs
- Science
Below are links to transported-related water projects.
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.StreamStats: Streamflow Statistics and Spatial Analysis Tools for Water-Resources Applications
StreamStats provides access to spatial analytical tools that are useful for water-resources planning and management, and for engineering and design purposes. The map-based user interface can be used to delineate drainage areas, get basin characteristics and estimates of flow statistics, and more. Available information varies from state to state.USGS Flood Information
The USGS collects flood data and conducts targeted flood science to help Federal, State, and local agencies, decision makers, and the public before, during, and after a flood. Our efforts provide situational awareness, drive predictive models, inform infrastructure design and operation, undergird floodplain mapping, assist flood constituent/load quantification, and facilitate flood impact...Groundwater and Streamflow Information Program
The Groundwater and Streamflow Information Program serves as the national source of impartial, timely, quality-assured, and relevant water data for short- and long-term water decisions by local, State, tribal, regional, and national stakeholders. Our objectives are to collect, manage, and disseminate consistently high-quality and reliable hydrologic information in real-time and over the long-term.SELDM: Stochastic Empirical Loading and Dilution Model - Project page
Note: SELDM is now on version 1.1.0.Effects of Highway Runoff on Water Quality
"SELDM facilitates analysis by providing precipitation, pre-storm streamflow, and other variables by region or from hydrologically similar sites."Determination of Changes in Water Quality, Streambed Sediment, and Benthic Macroinvertebrates as a Result of Stormwater Runoff from Selected Bridges in South Carolina
Past stormwater monitoring has indicated that bridge deck runoff has relatively high concentrations of a variety of constituents such as nutrients, solids, pesticides, trace metals, and polycyclic aromatic hydrocarbons (PAHs). The objective of this investigation is to quantify the downstream changes in receiving water-quality conditions during periods of observable stormwater runoff from selected...Bridge Scour Countermeasures
Flood events on rivers can cause erosion of the soil around a bridge foundation. This process is frequently referred to as bridge scour. Over time, scour can lead to bridge failure. To manage the risk from bridge scour, countermeasures are now used on bridge foundations. USGS scientists will be evaluating these bridge scour countermeasures at bridges across the country on rivers of various sizes. - Data
Below are data or web applications that provide support for transported-related water issues.
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 prWaterNow
The USGS WaterNow service lets users receive current conditions for USGS water-data-collection stations on demand via email or cell-phone text message. The user sends an email or text message containing a USGS current-conditions gaging site number, and will quickly receive a reply with the station's most recent data for one or more of its monitored parameters.
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 - Publications
Below are links to transported-related water publications.
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). AlthoStatistical 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
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 stormwateAssessing 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 simulatAssessing potential effects of highway runoff on receiving-water quality at selected sites in Oregon with the Stochastic Empirical Loading and Dilution Model (SELDM)
In 2012, the U.S. Geological Survey and the Oregon Department of Transportation began a cooperative study to demonstrate use of the Stochastic Empirical Loading and Dilution Model (SELDM) for runoff-quality analyses in Oregon. SELDM can be used to estimate stormflows, constituent concentrations, and loads from the area upstream of a stormflow discharge site, from the site of interest and in the reStochastic empirical loading and dilution model (SELDM) version 1.0.0
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. The U.S. Geological Survey developed SELDM in cooperation with the FEstimating basin lagtime and hydrograph-timing indexes used to characterize stormflows for runoff-quality analysis
A nationwide study to better define triangular-hydrograph statistics for use with runoff-quality and flood-flow studies was done by the U.S. Geological Survey (USGS) in cooperation with the Federal Highway Administration. Although the triangular hydrograph is a simple linear approximation, the cumulative distribution of stormflow with a triangular hydrograph is a curvilinear S-curve that closely aKendall-Theil Robust Line (KTRLine--version 1.0)-A Visual Basic Program for Calculating and Graphing Robust Nonparametric Estimates of Linear-Regression Coefficients Between Two Continuous Variables
The Kendall-Theil Robust Line software (KTRLine-version 1.0) is a Visual Basic program that may be used with the Microsoft Windows operating system to calculate parameters for robust, nonparametric estimates of linear-regression coefficients between two continuous variables. The KTRLine software was developed by the U.S. Geological Survey, in cooperation with the Federal Highway Administration, fo - Web Tools
Below are data or web applications that provide support for transported-related water issues.
WaterAlert
The U.S. Geological Survey WaterAlert service provides notifications to your email or phone for changes in water conditions based on thresholds you choose.
ByWater Resources Mission Area, Kansas Water Science Center, New Jersey Water Science Center, New York Water Science Center, Ohio-Kentucky-Indiana Water Science Center, Oregon Water Science Center, Upper Midwest Water Science Center, Wyoming-Montana Water Science Center, Hydrologic Instrumentation Facility (HIF), National Water Quality Laboratory - Software
Below are software applications that provide support for transported-related water issues.
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,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