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New England Water Science Center Projects

The New England Water Science Center monitors, analyzes, and communicates information on the quality and movement of surface water and groundwater within the states of Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, and Vermont. 

Explore our projects to learn more about the scientific investigations we conduct. Use keywords and the available filters to narrow your search scope.

Explore Our Projects

Filter Total Items: 113

Development of Regional Regression Equations in Connecticut

Knowledge of the magnitude and frequency of floods is needed for the effective and safe design of bridges, culverts, and other structures. This information is also important for flood-plain planning and management. Periodic examination of flood-frequency characteristics is essential to ensure the best estimates of flood magnitudes for a given annual exceedance probabilities (AEP).
Development of Regional Regression Equations in Connecticut

Development of Regional Regression Equations in Connecticut

Knowledge of the magnitude and frequency of floods is needed for the effective and safe design of bridges, culverts, and other structures. This information is also important for flood-plain planning and management. Periodic examination of flood-frequency characteristics is essential to ensure the best estimates of flood magnitudes for a given annual exceedance probabilities (AEP).
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Nutrient Loads from the Upper Connecticut River Watershed

River-borne nutrients, especially nitrogen, contribute to water-quality degradation in Long Island Sound. The Connecticut River is the largest tributary to the Sound, and quantification of nutrient loads from the three upper States in the watershed, as well as the State of Connecticut, is essential for prioritizing efforts to improve the Sound’s water quality.
Nutrient Loads from the Upper Connecticut River Watershed

Nutrient Loads from the Upper Connecticut River Watershed

River-borne nutrients, especially nitrogen, contribute to water-quality degradation in Long Island Sound. The Connecticut River is the largest tributary to the Sound, and quantification of nutrient loads from the three upper States in the watershed, as well as the State of Connecticut, is essential for prioritizing efforts to improve the Sound’s water quality.
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SELDM: Stochastic Empirical Loading and Dilution Model - Project page

Note: SELDM is now on version 1.1.1. Please use this version for compatibility with 64-bit Microsoft Office environments.
SELDM: Stochastic Empirical Loading and Dilution Model - Project page

SELDM: Stochastic Empirical Loading and Dilution Model - Project page

Note: SELDM is now on version 1.1.1. Please use this version for compatibility with 64-bit Microsoft Office environments.
Learn More

IJC Lake Champlain and the Richelieu River Project

The record setting floods of 2011 in Lake Champlain Vermont/New York U.S. and the Richelieu River in the province of Quebec Canada prompted the U.S. and Canadian governments to work together to identify how flood forecasting, preparedness and mitigation can be improved in the Lake Champlain-Richelieu River (LCRR) basin.
IJC Lake Champlain and the Richelieu River Project

IJC Lake Champlain and the Richelieu River Project

The record setting floods of 2011 in Lake Champlain Vermont/New York U.S. and the Richelieu River in the province of Quebec Canada prompted the U.S. and Canadian governments to work together to identify how flood forecasting, preparedness and mitigation can be improved in the Lake Champlain-Richelieu River (LCRR) basin.
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Mapping and Characterizing the Arsenic Hazard in Private Well Water Across the Nation

Study estimates about 2.1 million people using wells high in arsenic: USGS research directly supports federal agencies concerned with public health—specifically, understanding natural hazards in private domestic drinking water and the risk they pose to human health.
Mapping and Characterizing the Arsenic Hazard in Private Well Water Across the Nation

Mapping and Characterizing the Arsenic Hazard in Private Well Water Across the Nation

Study estimates about 2.1 million people using wells high in arsenic: USGS research directly supports federal agencies concerned with public health—specifically, understanding natural hazards in private domestic drinking water and the risk they pose to human health.
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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
Stochastic Empirical Loading and Dilution Model (SELDM) Transportation Research Board Presentation

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
Learn More

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

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

More info on the SELDM project web page. Click the link below.
FHWA 1990 "Driscoll" Model Pollutant Loadings and Impacts from Highway Stormwater Runoff

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

More info on the SELDM project web page. Click the link below.
Learn More
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