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      Numerical Study of Storm Surge Inundation in the Southwestern Hangzhou Bay Region During Typhoon Chan-Hom in 2015

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          Abstract

          Storm surge inundation is a major concern in marine hazard risk assessment during extreme weather conditions. In this study, a high-resolution coupled model (the ADVanced CIRCulation model + the Simulating WAves Nearshore model) was used to investigate the storm surge inundation in the southwestern Hangzhou Bay region during Typhoon Chan-hom in 2015. The simulated hydrodynamic processes (sea surface wave and storm tide) were validated with measured data from wave buoys and tide gauges, indicating that the overall performance of the model was satisfactory. The storm surge inundation in the coastal area was simulated for several idealized control experiments, including different wave effects (wave-enhanced wind stress, wave-enhanced bottom stress, and wave radiation stress). Dike overflowing cases with different dike heights and dike breaking cases with different dike breach lengths were considered in the simulation. The results highlight the necessity of incorporating wave effects in the accurate simulation of storm surge inundation. Dike height significantly influences the magnitude and phase of the maximum inundation area in the dike overflowing cases, and dike breach length is an important factor impacting the magnitude of the maximum inundation area in the dike breaking cases. This study may serve as a useful reference for accurate coastal inundation simulation and risk assessment.

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          Author and article information

          Journal
          JOUC
          Journal of Ocean University of China
          Science Press and Springer (China )
          1672-5182
          24 January 2020
          01 April 2020
          : 19
          : 2
          : 263-271
          Affiliations
          1Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
          2University of Chinese Academy of Sciences, Beijing 100049, China
          3Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China
          4Laboratory for Ocean and Climate Dynamics, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China
          5Numerical Simulation Division, North China Sea Marine Forecasting Center of State Oceanic Administration, Qingdao 266000, China
          Author notes
          *Corresponding authors: HOU Yijun, E-mail: yjhou@ 123456qdio.ac.cn ; LI Shuiqing, E-mail: lishuiqing@ 123456qdio.ac.cn
          Article
          s11802-020-4258-y
          10.1007/s11802-020-4258-y
          Copyright © Ocean University of China, Science Press and Springer-Verlag GmbH Germany 2020.

          The copyright to this article, including any graphic elements therein (e.g. illustrations, charts, moving images), is hereby assigned for good and valuable consideration to the editorial office of Journal of Ocean University of China, Science Press and Springer effective if and when the article is accepted for publication and to the extent assignable if assignability is restricted for by applicable law or regulations (e.g. for U.S. government or crown employees).

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          Self URI (journal-page): https://www.springer.com/journal/11802

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