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http://dx.doi.org/10.5762/KAIS.2019.20.4.69

A Study on the Prediction Function of Wind Damage in Coastal Areas in Korea  

Sim, Sang-bo (Department of Civil and Environmental Engineering, Pusan National University)
Kim, Yoon-ku (Department of Civil and Environmental Engineering, Pusan National University)
Choo, Yeon-moon (Department of Civil and Environmental Engineering, Pusan National University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.20, no.4, 2019 , pp. 69-75 More about this Journal
Abstract
The frequency of natural disasters and the scale of damage are increasing due to the abnormal weather phenomenon that occurs worldwide. Especially, damage caused by natural disasters in coastal areas around the world such as Earthquake in Japan, Hurricane Katrina in the United States, and Typhoon Maemi in Korea are huge. If we can predict the damage scale in response to disasters, we can respond quickly and reduce damage. In this study, we developed damage prediction functions for Wind waves caused by sea breezes and waves during various natural disasters. The disaster report (1991 ~ 2017) has collected the history of storm and typhoon damage in coastal areas in Korea, and the amount of damage has been converted as of 2017 to reflect inflation. In addition, data on marine weather factors were collected in the event of storm and typhoon damage. Regression analysis was performed through collected data, Finally, predictive function of the sea turbulent damage by the sea area in 74 regions of the country were developed. It is deemed that preliminary damage prediction can be possible through the wind damage prediction function developed and is expected to be utilized to improve laws and systems related to disaster statistics.
Keywords
Abnormal Climate; Damage Estimation Function; Disaster Statistics; Regional Characteristics; Wind Wave;
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