Virginia and West Virginia Water Science Center

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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.

Virginia and West Virginia Current Water Conditions

Virginia and West Virginia Current Water Conditions

Explore real-time Virginia and West Virginia streamflow, groundwater, and water-quality conditions and access data with our interactive map application.

Water conditions

Virginia Drought Streamflow Probabilities

Virginia Drought Streamflow Probabilities

Hydrologic drought streamflow probabilities for summer months are provided as functions of streamflows during the previous winter months. This application allows the display and query of these drought streamflow probabilities for Virginia streams.

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News

Date published: September 16, 2018

Hurricane Florence Water Footprint Data Visualization

To learn more about USGS’ role providing science to decision makers before, during and after #Florence, visit the #USGS Hurricane Florence page at https://www.usgs.gov/florence.

Date published: September 15, 2018

USGS deploying more gauges for Florence, preparing to measure flooding

To learn more about USGS’ role providing science to decision makers before, during and after #Florence, visit the #USGS Hurricane Florence page at https://www.usgs.gov/florence.

Date published: September 11, 2018

USGS Scientists Prepare for Storms in Three Seas

Field work completed for powerful Hurricane Florence, while experts watch Isaac and Olivia

Editor's note: This story was originally published on Tuesday, Sept. 11 and was updated at noon on Wednesday, Sept. 12.

To learn more about USGS’ role providing science to decision makers before, during and after Hurricane Florence, visit the USGS Hurricane Florence page at https://www.usgs.gov/florence.

Publications

Year Published: 2018

Hydrologic conditions and simulation of groundwater and surface water in the Great Dismal Swamp of Virginia and North Carolina

The U.S. Geological Survey (USGS), in cooperation with the U.S Fish and Wildlife Service, has investigated the hydrology of the Great Dismal Swamp (Swamp) National Wildlife Refuge (Refuge) in Virginia and North Carolina and developed a three-dimensional numerical model to simulate groundwater and surface-water hydrology. The model was developed...

Eggleston, Jack R.; Decker, Jeremy D.; Finkelstein, Jason S.; Wurster, Frederic C.; Misut, Paul E.; Sturtevant, Luke P.; Speiran, Gary K.
Eggleston J.R., Decker, J.D., Finkelstein, J.S., Wurster, F.C., Misut, P.E., Sturtevant, L.P., and Speiran, G.K., 2018, Hydrologic conditions and simulation of groundwater and surface water in the Great Dismal Swamp of Virginia and North Carolina: U.S. Geological Survey Scientific Investigations Report 2018-5056, 67 p., https://doi.org/10.3133/sir20185056.

Year Published: 2018

Rating stability, and frequency and magnitude of shifts, for streamgages in Virginia through water year 2013

The U.S. Geological Survey, in cooperation with the Virginia Department of Environmental Quality, has quantified several measures of rating stability and the frequency and magnitude of changes to ratings through time for 174 real-time continuous streamgages active in Virginia as of September 30, 2013. Generalized additive models (GAMs) were fitted...

Messinger, Terence; Burgholzer, Robert W.
Messinger, T., and Burgholzer, R.W., 2018, Rating stability, and frequency and magnitude of shifts, for streamgages in Virginia through water year 2013: U.S. Geological Survey Scientific Investigations Report 2017–5137, 91 p., https://doi.org/10.3133/sir20175137.

Year Published: 2018

GIS-based method for estimating surficial groundwater levels in coastal Virginia using limited information

In many coastal areas, high water tables are present, complicating installation of some stormwater best management practices (BMPs) that rely on infiltration. Regional estimates of the seasonal high water table (SHWT) often rely on sources such as soil surveys taken over a decade ago; these data are static and do not account for groundwater...

Johnson, R.D.; Sample, David J.; McCoy, Kurt J.