Water Sustainability
Water Sustainability
Water is vital to the sustainability of human communities and aquatic, riparian, and wetland ecosystems. The New England Water Science Center provides data, analyses, and predictive tools to understand both the quantity and quality of surface-water and groundwater resources that are available for use as well as the water-management factors that affect long-term sustainability of water supplies.
Filter Total Items: 29
The Connecticut Streamflow and Sustainable Water Use Estimator: A Decision-Support Tool to Estimate Streamflow and Water Availability at Ungaged, User-Defined Stream Locations in Connecticut
The Connecticut streamflow and sustainable water use estimator is a decision-support tool that provides estimates of daily unaltered streamflow, water-use adjusted streamflow (for the portions of the state where water-use data are available), and water availability for ungaged, user-defined sites in Connecticut.
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.
The Influence of Climatic changes on Extreme Streamflows in the United States
Hydrologic droughts and floods can have severe impacts on river infrastructure, water supply, and ecosystem functioning.
Trend Reproduction
As part of the National Water Budget Project, our objective is to quantify how well observed trends are simulated.