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부산 연안지형 VRS-GPS 계측을 통한 태풍해일 침수예측

VRS-GPS Measure of Typhoon Surge Flood Determinedin Busan Coastal Topography

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키워드

주제분류해양공학

초록

A coastal flood area was predicted using the empirical superposition of the typhoon surge level and typhoon wave height along the Busan coastal area. The historical typhoon damages were reviewed, and the coastal topography was measured using VRS-GPS. A FEMA formula was applied to estimate the coastal flood area in a typhoon case when the measured and predicted data of typhoon waves are not available. The results in the area of Haeundae beach and Gwangalli beach were verified using the flood area data from the case of Typhoon Maemi (2003). If a Hurricane Katrina class typhoon were to pass through the Maemi trajectory, the areathat would be flooded along theBusan coastal area was predicted and compared with the results of the Maemi case. Because of the lack of ocean environment data such as data for the sea level, waves, bathymetry, wind, pressure, etc., it is hard to improve the prediction accuracy for the coastal flood area in the typhoon case, which could be reflected in the policy to mitigate a typhoon’s impact. This paper discusses the kinds of ocean environment information that is needed to predict a typhoon’s impact with better accuracy.

Abstract

A coastal flood area was predicted using the empirical superposition of the typhoon surge level and typhoon wave height along the Busan coastal area. The historical typhoon damages were reviewed, and the coastal topography was measured using VRS-GPS. A FEMA formula was applied to estimate the coastal flood area in a typhoon case when the measured and predicted data of typhoon waves are not available. The results in the area of Haeundae beach and Gwangalli beach were verified using the flood area data from the case of Typhoon Maemi (2003). If a Hurricane Katrina class typhoon were to pass through the Maemi trajectory, the areathat would be flooded along theBusan coastal area was predicted and compared with the results of the Maemi case. Because of the lack of ocean environment data such as data for the sea level, waves, bathymetry, wind, pressure, etc., it is hard to improve the prediction accuracy for the coastal flood area in the typhoon case, which could be reflected in the policy to mitigate a typhoon’s impact. This paper discusses the kinds of ocean environment information that is needed to predict a typhoon’s impact with better accuracy.

참고문헌 (13)

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  2. 국립방재연구소, "제6차 방재기본계획", ~ (2001)
  3. 김도삼, "태풍 Maemi내습시 녹산국가산업단지 인근에서 침수해석", 한국해안․해양공학회 추계학술대회 논문집, 16, pp.53~56 (2006)
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  6. 서규우, "2003년 태풍 매미로 안한 부산 연안지역의 재해특성 분석", 한국해양공학회지, 18(2), pp.25~33 (2004), 한국해양공학회
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  9. 엄현민, "태풍 루사와 매미에 의한 한반도 주변해역의 심해파 산정", 한국방재학회지, 5(4), pp.106~114 (2005)
  10. 이경선, "태풍 통과시 풍역변화에 따른 수위변동특성 및 호안 월류 패턴에 관한 기초적 연구", 한국해양공학회 2004년도 추계학술대회논문집, pp.127~132 (2004)
  11. 허동수, "부산연안에서 폭풍해일고의 추정", 한국해양공학회지, 20(3), pp.37~44 (2006), 한국해양공학회
  12. 허동수, "슈퍼태풍 내습 시 부산·경남 연안역의 폭풍해일고", 한국해안·해양공학회논문집, 20(1), pp.128~136 (2008), 한국해안,해양공학회
  13. FEMA, "Coastal Construction Manual", ~ (2000)

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