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The Study on the Strong Wind Damage Prediction for Estimation Surface Wind Speed of Typhoon Season(I)

태풍시기의 강풍피해 예측을 위한 지상풍 산정에 관한 연구(I)

  • Park, Jong-Kil (School of Environmental Sciences Engineering, Atmospheric Environment Information Research Center, Inje University) ;
  • Jung, Woo-Sik (Department of Atmospheric Environment Information Engineering, Graduate school, Atmospheric Environment Information Research Center, Inje University) ;
  • Choi, Hyo-Jin (Department of Atmospheric Environment Information Engineering, Graduate school, Atmospheric Environment Information Research Center, Inje University)
  • 박종길 (인제대학교 환경공학부/대기환경정보연구센터) ;
  • 정우식 (인제대학교 대기환경정보공학과/대기환경정보연구센터) ;
  • 최효진 (인제대학교 대기환경정보공학과/대기환경정보연구센터)
  • Published : 2008.02.28

Abstract

Damage from typhoon disaster can be mitigated by grasping and dealing with the damage promptly for the regions in typhoon track. What is this work, a technique to analyzed dangerousness of typhoon should be presupposed. This study estimated 10 m level wind speed using 700 hPa wind by typhoon, referring to GPS dropwindsonde study of Franklin(2003). For 700 hPa wind, 30 km resolution data of Regional Data Assimilation Prediction System(RDAPS) were used. For roughness length in estimating wind of 10 m level, landuse data of USGS are employed. For 10 m level wind speed of Typhoon Rusa in 2002, we sampled AWS site of $7.4{\sim}30km$ distant from typhoon center and compare them with observational data. The results show that the 10 m level wind speed is the estimation of maximum wind speed which can appear in surface by typhoon and it cannot be compared with general hourly observational data. Wind load on domestic buildings relies on probability distributions of extreme wind speed. Hence, calculated 10 m level wind speed is useful for estimating the damage structure from typhoon.

Keywords

References

  1. 최효진, 2007, 자연재해 저감을 위한 방재기상정보 활용과 재해평가 모형 검토, 석사학위논문, 대기환경정보공학과, 인제대학교
  2. 한영만, 2006, Safe Korea 실현을 위한 토목인의 역할(자연재해를 중심으로), 자연과 문명의 조화, 54(5), 118-120
  3. 국립방재연구소, 2006, 태풍위험도 추정을 위한 알 고리즘 분석 연구
  4. Axe L. M., 2003, Hurricane Surface Wind Model For Risk Assessment, the Florida State University, A Master's Thesis
  5. Florida Department of Financial Services, 2005, Florida Public Hurricane Loss Projection Model, Engineering Team Final Report Volume . III
  6. Federal Emergency Management Agency, http://www.fema.gov
  7. Florida Department of Financial Services, 2003, PHRLM Primary Document Binder
  8. Franklin J. L., Black M. L., Valde. K., 2003, GPS Dropwindsonde Wind Profiles in Hurricanes and Their Wind Profiles in Hurricanes and Their Operational Implications, Wea. Forecasting, 18, 32-44 https://doi.org/10.1175/1520-0434(2003)018<0032:GDWPIH>2.0.CO;2
  9. 기상청, http://www.kma.go.kr
  10. Powell Mark D., Samuel H. Houston, Timothy A. Reinhold, 1996, Hurricane Andrew's Landfall in South Florida, Part I: Standardizing Measurements for Documentation of Surface Wind Fields, Wea. Forecasting, 11, 304-328 https://doi.org/10.1175/1520-0434(1996)011<0304:HALISF>2.0.CO;2
  11. Vickery P. J., Skerlj P. F., Twisdale L. A., 2000, Simulation of Hurricane Risk In The U.S. Using Empirical Track Model, J. Struct. Eng., Oct, 1222-1237
  12. Powell M. D., George S., Steve C., Sneh G., Nirva M. -L., Shahid H., Neal D., Lizabeth A., 2005, State of Florida Hurricane Loss Projection Model : Atmospheric science component, J. Wind Eng. Ind. Aerodyn., 93, 651-674 https://doi.org/10.1016/j.jweia.2005.05.008
  13. Federal Emergency Management Agency, 2003, HAZUS-MH MR1 Technical Manual
  14. The Regional Specialized Meteorological Center Tokyo-Typhoon Center, 2002, Best Track data
  15. Powell M. D., Black P. G., 1990, The relationship of hurricane reconnaissance flight-level wind measurements to winds measured by NOAA's oceanic platforms, J. Wind Eng. Ind. Aerodyn., 36, 381-392 https://doi.org/10.1016/0167-6105(90)90322-4
  16. Sheets R. C., 1990, The National Hurricane Centerpast, present, and future, Wea. Forecasting, 5, 185-232 https://doi.org/10.1175/1520-0434(1990)005<0185:TNHCPA>2.0.CO;2
  17. 이영규, 이승수, 김학선, 2007, 경상남도 해안 지역에서의 태풍에 의한 극한 풍속 추정, 2007 한국방재학회 학술대회, 85-89

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