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An Estimation of Amount of Damage Using the 3-second Gust When the Typhoon Attack

태풍 내습 시 3-second gust를 이용한 피해액 산정

  • Jung, Woo-Sik (Department of Atmospheric Environment Information Engineering, Atmospheric Environment Information Research Center, Inje University) ;
  • Park, Jong-Kil (School of Environmental Sciences Engineering, Atmospheric Environment Information Research Center, Inje University) ;
  • Choi, Hyo-Jin (Department of Atmospheric Environment Information Engineering, Atmospheric Environment Information Research Center, Inje University)
  • 정우식 (인제대학교 대기환경정보공학과/대기환경정보연구센터) ;
  • 박종길 (인제대학교 환경공학부/대기환경정보연구센터) ;
  • 최효진 (인제대학교 대기환경정보공학과/대기환경정보연구센터)
  • Received : 2009.12.18
  • Accepted : 2010.01.12
  • Published : 2010.03.31

Abstract

The most efficient measures to reduce damage from natural disasters include activities which prevent disasters in advance, decrease possibility of disasters and minimize the scale of damage. Therefore, developing of the risk assessment model is very important to reduce the natural disaster damage. This study estimated a typhoon damage which is the biggest damage scale among increased natural disasters in Korea along with climate change. The results of 3-second gust at the height of 10m level from the typhoon 'Maemi' which did considerable damage to Korean in 2003, using the wind data at the height of 700 hPa. September 12th 09 LST~13th 12 LST period by the time a typhoon Maemi approached to the Korean peninsula. This study estimate damage amount using 'Fragility curve' which is the damage probability curve about a certain wind speed of the each building component factors based on wind load estimation results by using 3-second gust. But the fragility curve is not to Korea. Therefore, we use the fragility curves to FPHLM(FDFS, 2005). The result of houses damage amount is about 11 trillion 5 million won. This values are limit the 1-story detached dwelling, $62.51\sim95.56\;m^2$ of total area. Therefore, this process is possible application to other type houses.

Keywords

References

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