Hurricane Harvey

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The U.S. Geological Survey has deployed storm-tide sensors, forecast what coastal change to expect, and is ready to measure the extent of flooding likely to result from this powerful storm, Hurricane Harvey.

Event Support Map

Event Support Map

Track hurricane data and USGS resources.

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Flood Event Viewer (FEV)

Flood Event Viewer (FEV)

FEV (an interactive map) provides viewable and downloadable flood event data.

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News

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

As thousands of people remain displaced by or are recovering from one of the four hurricanes that have affected the United States the past month, the U.S. Geological Survey is in the field providing science that will help with recovery from these historic hurricanes and with preparing for the next storm.

Photo Highlighting Predicted Erosion and Inundation areas in Texas
September 15, 2017

Pre- and post-storm photo comparisons using NOAA imagery

A gif of a before and after image slider showing flooding in Texas from Hurricane Harvey.
September 15, 2017

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

Publications

Year Published: 2016

Preliminary peak stage and streamflow data at selected streamgaging stations in North Carolina and South Carolina for flooding following Hurricane Matthew, October 2016

The passage of Hurricane Matthew across the central and eastern regions of North Carolina and South Carolina during October 7–9, 2016, resulted in heavy rainfall that caused major flooding in parts of the eastern Piedmont in North Carolina and coastal regions of both States. Rainfall totals of 3 to 8 inches and 8 to more than 15 inches were...

Weaver, J. Curtis; Feaster, Toby D.; Robbins, Jeanne C.
Weaver, J.C., Feaster, T.D., and Robbins, J.C., 2016, Preliminary peak stage and streamflow data at selected streamgaging stations in North Carolina and South Carolina for flooding following Hurricane Matthew, October 2016: U.S. Geological Survey Open-File Report 2016–1205, 38 p., https://doi.org/10.3133/ofr20161205.

Year Published: 2016

Identifying and preserving high-water mark data

High-water marks provide valuable data for understanding recent and historical flood events. The proper collection and recording of high-water mark data from perishable and preserved evidence informs flood assessments, research, and water resource management. Given the high cost of flooding in developed areas, experienced hydrographers, using the...

Koenig, Todd A.; Bruce, Jennifer L.; O'Connor, Jim; McGee, Benton D.; Holmes, Robert R.; Hollins, Ryan; Forbes, Brandon T.; Kohn, Michael S.; Schellekens, Mathew; Martin, Zachary W.; Peppler, Marie C.
Koenig, T.A., Bruce, J.L., O’Connor, J.E., McGee, B.D., Holmes, R.R., Jr., Hollins, Ryan, Forbes, B.T., Kohn, M.S., Schellekens, M.F., Martin, Z.W., and Peppler, M.C., 2016, Identifying and preserving high-water mark data: U.S. Geological Survey Techniques and Methods, book 3, chap. A24, 47 p., http://dx.doi.org/10.3133/tm3A24.

Year Published: 2015

Modelling multi-hazard hurricane damages on an urbanized coast with a Bayesian Network approach

Hurricane flood impacts to residential buildings in coastal zones are caused by a number of hazards, such as inundation, overflow currents, erosion, and wave attack. However, traditional hurricane damage models typically make use of stage-damage functions, where the stage is related to flooding depth only. Moreover, these models are deterministic...

van Verseveld, H.C.W.; Van Dongeren, A. R.; Plant, Nathaniel G.; Jäger, W.S.; den Heijer, C.
H.C.W. van Verseveld, A.R. van Dongeren, N.G. Plant, W.S. Jäger, C. den Heijer, Modelling multi-hazard hurricane damages on an urbanized coast with a Bayesian Network approach, Coastal Engineering, Volume 103, September 2015, Pages 1-14, ISSN 0378-3839, http://dx.doi.org/10.1016/j.coastaleng.2015.05.006.