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
Due to their limited geographic distributions and specialized ecologies, cave species are often highly endemic and can be especially vulnerable to habitat degradation within and surrounding the cave systems they inhabit. We investigated the evolutionary history of the West Virginia Spring Salamander (Gyrinophilus subterraneus), estimated the population trend from historic and current survey data,
Revisions to the Virginia Coastal Plain hydrogeologic framework southwest of the James River
New drilling information reveals that altitudes of some hydrogeologic units of the Virginia Coastal Plain aquifer system differ by as much as 50 feet (ft) from those previously known, namely the Aquia and Potomac aquifers, the Potomac confining zone, and the Nanjemoy-Marlboro and Saint Marys confining units. In addition, the lateral margins of some hydrogeologic units are located as much as severa
Summary of the midchannel springflows in Jackson River below Gathright Dam between April 24, 2010, and May 7, 2019
Between April 2010 and May 2019, springflow was determined for a midchannel spring
in Jackson River below Gathright Dam near Hot Springs, Virginia. The springflow was
measured to assess if the spring was influenced by the elevation of Lake Moomaw. Local
precipitation was also reviewed to determine whether variations in springflow were influenced
by rainfall. The spring is approximately 250 feet do
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...