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Identification and assessment of heavy rainfall–induced disaster potentials in Taipei City

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  • Jui-Sheng Chou
  • Kuo-Hsin Yang
  • Min-Yuan Cheng
  • Wan-Ting Tu

Abstract

With increasing threat to lives and properties, identifying and assessing disaster potentials has become necessary and prior for effective disaster preparation and rescue planning. This study first introduces practical methods currently used in Taipei City, Taiwan, to identify and assess heavy rainfall–induced potential risks on flood, debris flow, and landslide. The identified disaster potential information is further applied to a series of deterministic and probabilistic risk analyses using Shilin District of Taipei City as a case study. The deterministic risk analyses are conducted to evaluate the impact of various heavy rainfall intensities on the residents. The probabilistic risk analyses are performed to establish risk curves for the population affected by heavy rainfall–induced hazards. The risk curve represents the relationships between the affected population and the annual exceedance probability. This study found the annual exceedance probability is very sensitive to the assumed coefficients of variation of the affected population. It is recommended historical statistical data on the correlation between affected population and rainfall intensity should be recorded and compiled in order to assess the actual probability distribution function of the affected population. Risk analysis results are further applied to assess the community evacuation capacity in this district. Last, short-term and long-term mitigation strategies and recommendations are discussed. Copyright Springer Science+Business Media Dordrecht 2013

Suggested Citation

  • Jui-Sheng Chou & Kuo-Hsin Yang & Min-Yuan Cheng & Wan-Ting Tu, 2013. "Identification and assessment of heavy rainfall–induced disaster potentials in Taipei City," 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. 66(2), pages 167-190, March.
  • Handle: RePEc:spr:nathaz:v:66:y:2013:i:2:p:167-190
    DOI: 10.1007/s11069-012-0511-z
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    References listed on IDEAS

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    1. Jieh-Jiuh Wang & Hoe Ling, 2010. "Relationships between typhoon types and debris flow disasters in 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. 54(2), pages 373-394, August.
    2. Bruno Merz & Annegret Thieken, 2009. "Flood risk curves and uncertainty bounds," 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. 51(3), pages 437-458, December.
    3. Young-Oh Kim & Seung Seo & Ock-Jae Jang, 2012. "Flood risk assessment using regional regression analysis," 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. 63(2), pages 1203-1217, September.
    4. Kaiheng Hu & Yong Li & Fangqiang Wei, 2009. "Annual risk assessment on high-frequency debris-flow fans," 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. 49(3), pages 469-477, June.
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    Cited by:

    1. Chen, Yingzhen & Zhao, Qiuhong & Huang, Kai & Xi, Xunzhuo, 2022. "A Bi-objective optimization model for contract design of humanitarian relief goods procurement considering extreme disasters," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    2. Yuanyuan He & Zaiwu Gong, 2014. "China’s regional rainstorm floods disaster evaluation based on grey incidence multiple-attribute decision model," 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. 71(2), pages 1125-1144, March.

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