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Deterministic Estimation of Typhoon-Induced Surges and Inundation on Korean Coastal Regions

국내 연안 태풍 해일의 결정론적 추정 및 침수 영역 예측

  • Ku, Hyeyun (Div. for Public Infrastructure Assessment, Environment Assessment Group, Korea Environment Institute) ;
  • Maeng, Jun Ho (Div. for Public Infrastructure Assessment, Environment Assessment Group, Korea Environment Institute) ;
  • Cho, Kwangwoo (Div. for Integrated Water Management, Water and Land Research Group, Korea Environment Institute)
  • 구혜윤 (한국환경정책.평가연구원 환경평가본부 공공인프라평가실) ;
  • 맹준호 (한국환경정책.평가연구원 환경평가본부 공공인프라평가실) ;
  • 조광우 (한국환경정책.평가연구원 물국토연구본부 통합물관리연구실)
  • Received : 2018.12.07
  • Accepted : 2019.01.10
  • Published : 2019.02.28

Abstract

This research mainly focuses on examining the applicability of the deterministic model SLOSH (Sea, Lake and Overland Surges from Hurricanes) on Seas covering South Korea. Also, a simple bathtub approach which estimates coastal inundation area is validated as a first step of estimating effects of sea-level rise on the coastal cities of South Korea according to climate change. Firstly, the typhoon-induced surges are obtained from the model SLOSH by adopting historical typhoons MAEMI (0314) and BOLAVEN (1215). The results are compared to observational, typhoon-induced surge heights at several tidal stations. The coastal inundation area is estimated by comparing the maximum envelop of waves (MEOW) and the elevation of coastal land. It reproduces well the inundation area. It can be seen that this research gained applicability for estimating further potential coastal inundation with climate changes.

본 연구는 기후변화에 의한 해수면 상승 영향 예측의 첫 단계로서, SLOSH(Sea, Lake, Overland Surges from Hurricanes)를 우리나라 연안에 적용하여 태풍 해일고 예측의 한계를 제시하고, 이에 따라 발생 가능한 연안 침수를 예측하기 위하여 수행되었다. SLOSH의 국내 적용을 위하여 개발된 한반도 통합 격자망의 적용성 검증을 바탕으로 태풍 매미(0314)와 볼라벤(1215)에 의한 태풍 해일고를 도출하였으며, 최대값의 비교를 통하여 모형의 한계 범위를 제시하였다. 또한, 태풍 매미(0314)에 의한 마산만의 침수를 재현함으로써 SLOSH의 적용 및 활용을 통한 연안 침수 예측 접근 방법의 검증을 수행하였다. 이를 통하여 기후변화로 인한 불확실성을 통계적인 방법으로 해석할 수 있는 발판을 마련한 것으로 판단된다.

Keywords

References

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