UCF Researchers Studying Storm Surge Effects of Hurricanes on Florida Cities

Category 4 hurricane could cause a storm surge of as much as 25 feet in Tampa Bay, according to a University of Central Florida researcher who is looking at the risks Florida cities face from tidal surges and flooding.


Scott Hagen, an associate professor of Civil and Environmental Engineering, and his team of graduate students have started analyzing the potential effects of a Category 4 hurricane striking the Tampa Bay region. They ran their storm surge model with wind and pressure fields for hypothetical hurricanes with three different paths and traveling at two different speeds, 5 and 15 mph. They concluded that such storms would produce surges of 20 to 25 feet in parts of Tampa Bay.

Hagen and the graduate students also plan to study the potential effects of storm surges on Florida’s east coast, particularly Miami and Jacksonville. They are conducting this early work on their own initiative with a long-term goal of helping the state become better prepared for hurricanes.

“We’ll never have a flood up to our rooftops like New Orleans, but that doesn’t mean there won’t be pockets of flooding in our cities that have the potential to cause drownings,” said Hagen, who is director of the Coastal Hydroscience Analysis, Modeling and Predictive Simulations Laboratory, which is known as the CHAMPS Lab.

Hagen said cities will have to balance their risks of storm surges with the costs of fortifying sea walls and levees when they decide how much protection they want to add. They also need to consider the gradually rising sea level, he said.

“Usually, we’ll say if we have a 99.5 percent confidence level that it’s not going to fail, we’re going to feel pretty good,” Hagen said. “We can live with that year in and year out, but there’s still that one-half percent chance, and that’s what you saw in New Orleans.”

The research team’s analysis of Tampa Bay showed the highest storm surges, about 25 feet, result from a hurricane moving at 15 mph with maximum winds of 140 mph. While the maximum storm surge levels for a storm moving at 5 mph were a few feet lower, the surge levels remained high for much longer and therefore posed more serious risks.

Graduate students working with Hagen are Peter Bacopoulos of Daytona Beach, David Coggin of Orange Park, Yuji Funakoshi of Tokyo and Mike Salisbury of Fort Pierce.

In related efforts, Hagen and the students are part of a program created to improve the national system for forecasting winds, waves and storm surges related to hurricanes. The goal of that project, funded by the National Oceanographic Partnership Program, is to generate real-time, probabilistic storm surge elevations for the United States’ East Coast and Gulf of Mexico based on potential hurricane tracks. The results will help governments issue more accurate emergency advisories during storms. UCF’s partners in that effort include the universities of Miami and Florida, the U.S. Army Corps of Engineers, the National Oceanic and Atmospheric Administration/Atlantic Oceanographic and Meteorological Laboratory Hurricane Research Division and Oceanweather Inc.

Hagen and his students also collaborate with the National Weather Service Forecast Office in Peachtree City, Ga., on real-time forecasting for coastal rivers. The National Oceanic and Atmospheric Administration also is funding the CHAMPS Lab to develop a real-time forecasting system for the St. Johns River.

Media Contact

Chad Binette EurekAlert!

More Information:

http://champs.cecs.ucf.edu

All latest news from the category: Ecology, The Environment and Conservation

This complex theme deals primarily with interactions between organisms and the environmental factors that impact them, but to a greater extent between individual inanimate environmental factors.

innovations-report offers informative reports and articles on topics such as climate protection, landscape conservation, ecological systems, wildlife and nature parks and ecosystem efficiency and balance.

Back to home

Comments (0)

Write a comment

Newest articles

Machine learning algorithm reveals long-theorized glass phase in crystal

Scientists have found evidence of an elusive, glassy phase of matter that emerges when a crystal’s perfect internal pattern is disrupted. X-ray technology and machine learning converge to shed light…

Mapping plant functional diversity from space

HKU ecologists revolutionize ecosystem monitoring with novel field-satellite integration. An international team of researchers, led by Professor Jin WU from the School of Biological Sciences at The University of Hong…

Inverters with constant full load capability

…enable an increase in the performance of electric drives. Overheating components significantly limit the performance of drivetrains in electric vehicles. Inverters in particular are subject to a high thermal load,…

Partners & Sponsors