Grab our data (and see where we work)
Grab our data (and see where we work)
We operate and maintain extensive monitoring networks and conduct hydrologic investigations to quantify each component of the hydrologic cycle.
We operate and maintain extensive monitoring networks and conduct hydrologic investigations to quantify each component of the hydrologic cycle.
Northeast region drought streamflow probabilities
Northeast region drought streamflow probabilities
Explore drought probabilities for select streams estimated using maximum likelihood regression. Winter streamflows are used to estimate the chance of hydrologic drought during summer months 5 to 11 months in advance.
Explore drought probabilities for select streams estimated using maximum likelihood regression. Winter streamflows are used to estimate the chance of hydrologic drought during summer months 5 to 11 months in advance.
Explore essential tools and products
Explore essential tools and products
Explore our scientific and data-driven web tools that include data visualizations, digital repositories, and interactive maps with data access and data analysis capabilities.
Explore our scientific and data-driven web tools that include data visualizations, digital repositories, and interactive maps with data access and data analysis capabilities.
Loads and trends in the Chesapeake Bay nontidal monitoring network
Loads and trends in the Chesapeake Bay nontidal monitoring network
Access tools for exploring primary findings for short-term nutrient and sediment trends from the Chesapeake Bay Program’s 123 nontidal network stations.
Access tools for exploring primary findings for short-term nutrient and sediment trends from the Chesapeake Bay Program’s 123 nontidal network stations.
Featured science: Hydrological Drought Probabilities
Featured science: Hydrological Drought Probabilities
Climate change raises concern that risks of hydrological drought may be increasing. We estimate hydrological drought probabilities for rivers and streams in the United States using maximum likelihood logistic regression.
Climate change raises concern that risks of hydrological drought may be increasing. We estimate hydrological drought probabilities for rivers and streams in the United States using maximum likelihood logistic regression.
Virginia and West Virginia Water Science Center
We operate streamgages, observation wells, and monitoring stations that provide reliable scientific information needed to make informed decisions. We use advanced science and analytical methods to investigate and understand our natural world.
Publications
Groundwater withdrawals provide most public-water supplies and all private-domestic users in Fauquier County, Virginia, a fast-growing rural area southwest of Washington, D.C. Groundwater levels were measured in 129 wells during a county-wide synoptic survey from October 29 through November 2, 2018. Field measurements, combined with datapoints from the National Hydrography Dataset, were used to de
Watershed-scale risk to aquatic organisms from complex chemical mixtures in the Shenandoah River
River waters contain complex chemical mixtures derived from natural and anthropogenic sources. Aquatic organisms are exposed to the entire chemical composition of the water, resulting in potential effects at the organismal through ecosystem level. This study applied a holistic approach to assess landscape, hydrological, chemical, and biological variables. On-site mobile laboratory experiments were
Nitrogen reductions have decreased hypoxia in the Chesapeake Bay: Evidence from empirical and numerical modeling
Seasonal hypoxia is a characteristic feature of the Chesapeake Bay due to anthropogenic nutrient input from agriculture and urbanization throughout the watershed. Although coordinated management efforts since 1985 have reduced nutrient inputs to the Bay, oxygen concentrations at depth in the summer still frequently fail to meet water quality standards that have been set to protect critical estuari
Science
Summarizing Scientific Findings for Common Stakeholder Questions to Inform Nutrient and Sediment Management Activities in the Chesapeake Bay Watershed
Issue: The Chesapeake Bay Program (CBP) partnership is striving to improve water-quality conditions in the Bay by using a variety of management strategies to reduce nutrient and sediment loads. The partnership uses monitoring results and modeling tools to implement management strategies, relying on the scientific community to synthesize existing information and direct new research to address...
Virginia Eastern Shore Groundwater Resources
Informed management of groundwater resources for the Eastern Shore of Virginia depends on the availability of detailed and up-to-date scientific information. The USGS and the Virginia Department of Environmental Quality are conducting a long-term cooperative study to enhance the understanding of groundwater resources in the sole-source aquifer system beneath Accomack and Northampton counties...
Hydrologic, Water-Quality, and Ecological Monitoring and Analysis to Support Stream Restoration Research in Reston, Virginia
The U.S. Geological Survey, in cooperation with Resource Protection Group, Inc. is partnering with Reston Association to monitor the hydrology, water-quality, and ecology of two restored urban streams in Reston, Virginia – Snakeden Branch and The Glade. A combination of continuous and discrete hydrologic and water-quality data are collected to evaluate stream conditions and estimate sediment and...