Advanced Research
Advanced Research
Much of the work of the New England Water Science Center combines traditional hydrology with advanced scientific methods to produce innovative and defensible science. Partnering with researchers from a variety of disciplines leverages our science more than ever. We are always striving to innovate new scientific methods and adapt to constantly changing environmental landscapes.
Filter Total Items: 20
Preliminary Research into the Causes of Iron Fouling in Water at Roadway Construction Sites
The USGS and the New Hampshire Department of Transportation are conducting preliminary research into the causes of iron fouling in water at roadway construction sites where blasted bedrock is used as on-site fill material.
Study to Test a Novel Shallow Well Design that May Provide Contaminant-Free Water Supply to Domestic Well Users in Arsenic-Prone Parts of the United States
The USGS, the University of New Hampshire, U.S. Environmental Protection Agency, the New Hampshire Department of Environmental Services, and the Maine Geological Survey are collaborating on a study of a novel shallow well design that might be able to provide safe drinking water to domestic well users in arsenic-prone parts of the Nation.
Towards Understanding the Impact of Drought on the Arsenic Hazard for the Private Domestic Well Population in the United States
The USGS and the Centers for Disease Control and Prevention are examining the potential effects of droughts on the arsenic hazard in private well water across the Nation.
Development of Regional Regression Equations to Estimate the Magnitude of Peak Flows for Selected Annual-Exceedance Probabilities in Maine
The flood-frequency characteristics for streamgages and regression equations for estimating flood magnitudes have been published.
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).
SELDM: Stochastic Empirical Loading and Dilution Model - Project page
Note: SELDM is now on version 1.1.1.
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.
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