기후변화를 반영한 가능최대풍속 산정
Estimation of Probable Maximum Wind Considering Climate Change
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참고문헌
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초록
Extreme wind speed could be obtained by application of a Monte Carlo simulation, followed by formation of a representative standard typhoon. By applying this method, the data about severe typhoon happened early of 1900s, could be restored and added to RSMC data set. As estimating wind speed which has a million year of return period about the well-structured data set, probable maximum wind which could be applied to design important facilities such as a nuclear power plant. Furthermore, regarding to strength of typhoon getting stronger which replies on global warming, climate change was also applied with the status of increasing typhoon intensity. This research was applied to Mokpo for estimating probable maximum wind speed. The result from the given research method showed that it is weaker than 55m/s which is wind speed of probable maximum wind of super typhoon even though the central pressure intensity increases 30%.
Abstract
Extreme wind speed could be obtained by application of a Monte Carlo simulation, followed by formation of a representative standard typhoon. By applying this method, the data about severe typhoon happened early of 1900s, could be restored and added to RSMC data set. As estimating wind speed which has a million year of return period about the well-structured data set, probable maximum wind which could be applied to design important facilities such as a nuclear power plant. Furthermore, regarding to strength of typhoon getting stronger which replies on global warming, climate change was also applied with the status of increasing typhoon intensity. This research was applied to Mokpo for estimating probable maximum wind speed. The result from the given research method showed that it is weaker than 55m/s which is wind speed of probable maximum wind of super typhoon even though the central pressure intensity increases 30%.
참고문헌 (24)
- Lee, Y. K., "Expectation of extreme wind speed due to typhoon", Proceedings of the Wind Engineering Institute of Korea, pp.1~7 (2007), Pukyoung National Univ
- Russell, L. R., "Probability distributions for hurricane effects", J. of Waterways, Harbors and Coastal Engineering, 97(1) (1971), ASCE
- Batts, M. E., "Hurricane wind speeds in the U.S", J. of Structural Engineering, 106(10) (1980), ASCE
- Vickery P. J., "Wind field and filling models for hurricane wind-speed predictions", J. of Structural Engineering, 121(11) (1995), ASCE
- 김석철, "Monte Carlos 태풍 시물레이션과 CFD 모델을 이용한 울산지역 국지적 강풍 발생빈도 추정", 한국풍공학회지, 9(1), pp.45~54 (2005), 한국풍공학회
- 권순덕, "태풍 시뮬레이션을 통한 서남해안의 극한풍속 예측", 대한토목학회 논문집A, 28(4), pp.431~438 (2008), 대한토목학회
- 강주환, "풍속 재현빈도와 일치하는 해일모의용 표준태풍 생성", 한국해안·해양공학회논문집, 28(1), pp.53~62 (2016), 한국해안,해양공학회
- Technical Basis for Regulatory Guidance on Design-Basis Hurricane Wind Speeds for Nuclear Power Plants, "U.S.NRC", Office of Nuclear Regulatory Research, ~ (2011)
- Cho, K. H., "A study on optimal radius of typhoon selection for Monte Carlos method", Proceedings of the Wind Engineering Institute of Korea, pp.39~43 (2009), Seoul National Univ
- Holland, G. K., "An analytic model of the wind and pressure profiles in hurricanes", Monthly Weather Review, 108 (1980)
- Vickery P. J., "Simulation of hurricane risk in the U.S. using empirical track model", J. of Structural Engineering, 67, pp.152~163 (2000)
- 강시환, "동북아시아 해상에서의 태풍중심기압과 최대풍속의 경험적 관계식", 한국기상학회지, 38(5), pp.523~530 (2002), 한국기상학회
- 정우식, "한반도 동남권역에 영향을 미친 태풍 관측 연구", 한국환경과학회지, 20(9), pp.1191~1203 (2011), 한국환경과학회
- Chan, J. C. L., "Long term trends and interannual variability in tropical cyclone activity over the western North Pacific", Geo. Res., 23, pp.2765~2767 (1996)
- Clark, J. D., "Interannual variation of tropical cyclone activity over the central North Pacific", Journal of the Meteorological Society of Japan, 80, pp.403~418 (2002)
- Lighthill, J., "Global climate change and tropical cyclones", Bull. Amer. Meteor. Soc., 75, pp.2147~2157 (1994)
- Klotzbach, P. J., "Trends in global tropical cyclone activity over the past twenty years(1986-2005)", Geophys. Res., 33 (2005)
- Landsea, C. W., "Downward trends in the frequency of intense Atlantic hurricanes during the past five decades", Geo. Res., 23, pp.1697~1700 (1996)
- IPCC, "Climate change 2014" (2013), Cambridge Univ. Press
- Feng, X., "Sea level extremes at the coasts of China", J. of Geophysical Research: Oceans, pp.1593~1608 (2014)
- Walsh, K. J. E., "Climate change impacts on tropical cyclones and extreme sea levels in the South Pacific- a regional assessment", Global Planetary Change, 80, pp.149~164 (2012)
- McInnes, K. L., "Quantifying storm surge risk in Fiji due to climate variability and change", Global and Planetary Change, 115, pp.115~129 (2014)
- Oh, S. M., "Typhoon and storm surge intensity changes in a warming climate around the Korean Peninsula", Natural Hazards, 66, pp.1405~1429 (2013)
- Powell, M. D., "Hurricane Andrew’s landfall in South Florida, Part 1: Standardizing measurements for documentation of surface wind fields", Weather Forecast, 11, pp.329~349 (1996)
