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New tool predicts flood risk from hurricanes in a warming climate  科技资讯
时间:2024-01-24   来源:[美国] Physorg

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New tool predicts flood risk from hurricanes in a warming climate

hurricane
Credit: Pixabay/CC0 Public Domain

Coastal cities and communities will face more frequent major hurricanes with climate change in the coming years. To help prepare coastal cities against future storms, MIT scientists have developed a method to predict how much flooding a coastal community is likely to experience as hurricanes evolve over the next decades.

When hurricanes make landfall, whip up salty ocean waters that generate in . As the storms move over land, torrential rainfall can induce further flooding inland. When multiple flood sources such as storm surge and rainfall interact, they can compound a 's hazards, leading to significantly more flooding than would result from any one source alone. The new study introduces a physics-based method for predicting how the risk of such complex, compound flooding may evolve under a warming climate in coastal cities.

One example of compound flooding's impact is the aftermath from Hurricane Sandy in 2012. The storm made landfall on the East Coast of the United States as heavy winds whipped up a towering storm surge that combined with rainfall-driven flooding in some areas to cause historic and devastating floods across New York and New Jersey.

In their study, the MIT team applied the new compound flood-modeling method to New York City to predict how climate change may influence the risk of compound flooding from Sandy-like hurricanes over the next decades.

They found that, in today's climate, a Sandy-level compound flooding event will likely hit New York City every 150 years. By midcentury, a warmer climate will drive up the frequency of such flooding, to every 60 years. At the end of the century, destructive Sandy-like floods will deluge the city every 30 years—a fivefold increase compared to the present climate.

"Long-term average damages from weather hazards are usually dominated by the rare, intense events like Hurricane Sandy," says study co-author Kerry Emanuel, professor emeritus of atmospheric science at MIT. "It is important to get these right."

While these are sobering projections, the researchers hope the flood forecasts can help city planners prepare and protect against future disasters. "Our methodology equips coastal city authorities and policymakers with essential tools to conduct compound flooding risk assessments from hurricanes in coastal cities at a detailed, granular level, extending to each street or building, in both current and future decades," says study author Ali Sarhadi, a postdoc in MIT's Department of Earth, Atmospheric and Planetary Sciences.

The study is published in the Bulletin of the American Meteorological Society. Co-authors include Raphaël Rousseau-Rizzi at MIT's Lorenz Center, Kyle Mandli at Columbia University, Jeffrey Neal at the University of Bristol, Michael Wiper at the Charles III University of Madrid, and Monika Feldmann at the Swiss Federal Institute of Technology Lausanne.

The seeds of floods

To forecast a region's flood risk, weather modelers typically look to the past. Historical records contain measurements of previous hurricanes' wind speeds, rainfall, and spatial extent, which scientists use to predict where and how much flooding may occur with coming storms. But Sarhadi believes that the limitations and brevity of these historical records are insufficient for predicting future hurricanes' risks.

More information: Ali Sarhadi et al, Climate change contributions to increasing compound flooding risk in New York City, Bulletin of the American Meteorological Society (2024). journals.ametsoc.org/view/jour … BAMS-D-23-0177.1.xml

This story is republished courtesy of MIT News (web.mit.edu/newsoffice/), a popular site that covers news about MIT research, innovation and teaching.

Citation: New tool predicts flood risk from hurricanes in a warming climate (2024, January 24) retrieved 24 January 2024 from https://phys.org/news/2024-01-tool-hurricanes-climate.html
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