Hurricane Maria

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

Image shows USGS scientists in PFDs with an acoustic doppler sensor in a flooded river
May 31, 2018

No one has a crystal ball to foresee what will happen during the 2018 hurricane season that begins June 1, but NOAA forecasters say there’s a 75 percent chance this hurricane season will be at least as busy as a normal year, or busier.

A USGS hydrologic technician examines a wall in Puerto Rico for a high-water mark after flooding from Hurricane Maria.
November 8, 2017

U.S. Geological Survey field crews in Puerto Rico are rapidly repairing the damage wrought by Hurricanes Irma and Maria, tracking the scope of storm floods, and documenting the new contours of rivers re-sculpted by floodwaters and mountains re-shaped by landslides.

A screenshot of the Coastal Change hazards portal showing erosion, overwash and inundation potentials along the east coast
September 26, 2017

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

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.