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Assessment of storm surge inundation and potential hazard maps for the southern coast of Taiwan

Author

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  • Wei-Bo Chen

    (National Science and Technology Center for Disaster Reduction)

  • Wen-Cheng Liu

    (National United University
    National Applied Research Laboratories)

Abstract

An integrated storm surge and flood inundation modeling system was developed and applied to simulate storm surges and inundation in the Gaoping River basin and its adjacent coastal area in southern Taiwan. An unstructured grid, three-dimensional hydrodynamic model was driven by the tidal elevation at the open boundaries and freshwater discharge at the upriver boundary. The model was calibrated and validated against the observed water levels for five typhoons. The results indicate a reasonable agreement between the model simulation and the observational data. A frequency analysis was used to fit the maximum surge height of historical typhoons induced by storm surges and yield the storm surge height for different return periods. The validated model was then applied to assess the potential hazard maps for different return periods as well as the influence of the sea level rise on the potential hazard maps. The typhoon-induced storm surge under the 200-year return period matched the 200-year return period peak flow, resulting in the maximum extent and depth of inundation in the low-lying area. Furthermore, the simulated results reveal that the sea level rise would enhance the flooding areas. The inundation hazard maps developed in this study could be a useful tool for planning the evacuation of residents living in low-lying areas and the decision-making of flood risk management on the coasts and floodplains.

Suggested Citation

  • Wei-Bo Chen & Wen-Cheng Liu, 2016. "Assessment of storm surge inundation and potential hazard maps for the southern coast of Taiwan," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 82(1), pages 591-616, May.
    • Handle: RePEc:spr:nathaz:v:82:y:2016:i:1:d:10.1007_s11069-016-2199-y
    DOI: 10.1007/s11069-016-2199-y
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    References listed on IDEAS

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    1. Michael A. Strom & Gregory B. Pasternack & Scott G. Burman & Helen E. Dahlke & Samuel Sandoval-Solis, 2017. "Hydraulic hazard exposure of humans swept away in a whitewater river," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 88(1), pages 473-502, August.
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    3. A. D. Rao & Puja Upadhaya & Hyder Ali & Smita Pandey & Vidya Warrier, 2020. "Coastal inundation due to tropical cyclones along the east coast of India: an influence of climate change impact," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 101(1), pages 39-57, March.
    4. Maqsood Mansur & Julia Hopkins & Qin Chen, 2023. "Estuarine response to storm surge and sea-level rise associated with channel deepening: a flood vulnerability assessment of southwest Louisiana, USA," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 116(3), pages 3879-3897, April.
    5. P. M. Orton & F. R. Conticello & F. Cioffi & T. M. Hall & N. Georgas & U. Lall & A. F. Blumberg & K. MacManus, 2020. "Flood hazard assessment from storm tides, rain and sea level rise for a tidal river estuary," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 102(2), pages 729-757, June.
    6. Hung-Ju Shih & Chih-Hsin Chang & Wei-Bo Chen & Lee-Yaw Lin, 2018. "Identifying the Optimal Offshore Areas for Wave Energy Converter Deployments in Taiwanese Waters Based on 12-Year Model Hindcasts," Energies, MDPI, vol. 11(3), pages 1-21, February.

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