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

A USGS hydrologic technician installs a Rapid-Deployment Gauge on a bridge in Norfolk, Virginia.
September 22, 2017

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

Hampton Roads Benchmark Monitoring: Occupying a Benchmark
September 16, 2017

Check out this fact sheet summarizing what we do at the Virginia and West Virginia Water Science Center.

Support tool screenshot showing Irma potential path
September 9, 2017

Learn about the science USGS is providing to decision makers before, during, and after Hurricane Irma. Click HERE.

Publications

Year Published: 2017

Characteristics of peak streamflows and extent of inundation in areas of West Virginia and southwestern Virginia affected by flooding, June 2016

Heavy rainfall occurred across central and southern West Virginia in June 2016 as a result of repeated rounds of torrential thunderstorms. The storms caused major flooding and flash flooding in central and southern West Virginia with Kanawha, Fayette, Nicholas, and Greenbrier Counties among the hardest hit. Over the duration of the storms, from 8...

Austin, Samuel H.; Watson, Kara M.; Lotspeich, R. Russell; Cauller, Stephen J.; White , Jeremy S.; Wicklein, Shaun M.
Austin, S.H., Watson, K.M., Lotspeich, R.R., Cauller, S.J., White, J.S., and Wicklein, S.M., 2017, Characteristics of peak streamflows and extent of inundation in areas of West Virginia and southwestern Virginia affected by flooding, June 2016: U.S. Geological Survey Open-File Report 2017–1140, 35 p., https://doi.org/10.3133/ofr20171140.

Year Published: 2017

Virginia flow-ecology modeling results—An initial assessment of flow reduction effects on aquatic biota

BackgroundThe U.S. Geological Survey (USGS), in cooperation with the Virginia Department of Environmental Quality (DEQ), reviewed a previously compiled set of linear regression models to assess their utility in defining the response of the aquatic biological community to streamflow depletion.As part of the 2012 Virginia Healthy Watersheds...

Rapp, Jennifer L.; Reilly, Pamela A.
Rapp, J.L., and Reilly, P.A., 2017, Virginia flow-ecology modeling results—An initial assessment of flow reduction effects on aquatic biota: U.S. Geological Survey Open-File Report 2017–1088, 68 p., https://doi.org/10.3133/ofr20171088.

Year Published: 2017

Groundwater-quality data associated with abandoned underground coal mine aquifers in West Virginia, 1973-2016: Compilation of existing data from multiple sources

This report describes a compilation of existing water-quality data associated with groundwater resources originating from abandoned underground coal mines in West Virginia. Data were compiled from multiple sources for the purpose of understanding the suitability of groundwater from abandoned underground coal mines for public supply, industrial,...

McAdoo, Mitchell A.; Kozar, Mark D.
McAdoo, M.A., and Kozar M.D., 2017, Groundwater-quality data associated with abandoned underground coal mine aquifers in West Virginia, 1973-2016: Compilation of existing data from multiple sources: U.S. Geological Survey Data Series 1069, 7 p., https://doi.org/10.3133/ds1069.