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The AAPG/Datapages Combined Publications Database
Environmental Geosciences (DEG)
Abstract
Hurricane Hazard Assessment System for Damage to Residential Structures in South Carolina
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Dr. Huang is a Senior Engineer with Applied Research Associates (ARA)
in Raleigh, North Carolina. Prior to joining ARA in 1999, he was a
graduate research assistant in the Department of Civil Engineering at
Clemson University. He graduated with his Bachelor's degree from Tongji
University (Shanghai, China) in 1993, his Master's degree from Tsinghua
University (Beijing, China) in 1996, and his Ph.D. from Clemson
University in 1999. His research interests are in the areas of natural
hazard analysis, structural reliability, and GIS.
Dr. Rosowsky is Associate Professor and Graduate Program Coordinator in
the Department of Civil Engineering at Clemson University. He completed
his undergraduate and Master's degrees at Tufts University and his
Ph.D. at Johns Hopkins University. Sincer joining the faculty at
Clemson in 1994, his teaching and research activities have been in the
areas of probability-based design, reliability and risk analysis,
modeling of structural and environmental loads, and design for natural
hazards.
Dr. Sparks is a Professor of Civil Engineering and Engineering
Mechanics at Clemson University. He was born and educated in England,
receiving his B.S. degree in Civil Engineering from the University of
Bristol in 1968 and his Ph.D. from the University of London in 1974. He
moved to the United States in 1977 and has been a member of the faculty
at Clemson since 1982. His current major research interests are the
measurement and prediction of wind fields in hurricanes and the
quantification of the damage and disruption they cause.
ABSTRACT
terms
of claims and insured losses,
when a hurricane is approaching the coast of South Carolina. Reconnaissance
aircraft measurements are used to develop a gradient-level wind
field that is then moved along the projected track of the hurricane.
By using gradient-to-surface conversion factors and decay rates
based on observations in recent hurricanes, mean wind speeds are
determined at 10-min intervals at the centroid of each zip code.
Damage models relating the number of claims and amount of losses
to the maximum mean surface wind speed in a zip code are developed
using loss data from Hurricanes Hugo and Andrew. The application
of the assessment procedure is demonstrated using Hurricane Hugo.
Specifically, the procedure is used to predict the expected number
of claims and the expected amount of losses likely to be experienced
by a particular insurance company if a storm the size and strength
of Hugo were to follow the
actual path of the hurricane, a track deviating 5° to the left, and
a track deviating 5° to the right. Owing to the location and distribution
of population centers in the state, small deviations in the track
of the hurricane were shown to produce significant changes in the
number of claims and the amount of the total insured losses.
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