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Small-scale natural disaster risk scenario analysis: a case study from the town of Shuitou, Pingyang County, Wenzhou, China

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  • Yaolong Liu
  • Guorui Feng
  • Ye Xue
  • Huaming Zhang
  • Ruoguang Wang

Abstract

An empirical-based natural disaster risk assessment was carried out in a sub-national region of China, using the town of Shuitou, Pingyang County, Wenzhou, as the small-scale study area. Risk factors identified associated with the Typhoon Morakot rainstorm–flood event included hazard, vulnerability, and disaster loss, with the corresponding indicators being submergence depth (m), loss rate (%), and flood loss values (Yuan). As a frequent rainstorm–flood area, the maximum flood depth in Shuitou is 3.57 m, and the average loss rates for housing property and business assets reach 20 and 30 %, respectively. The average maximum loss ranges around 40,000–100,000 Yuan. The comprehensive disaster risk level depends on the respective strengths of the principal component factors. Extremely high-submersion-risk and very high-submersion-risk areas in Shuitou are found in the northwest, specifically along the GongYuan and Yuanlin roads, covering an area of 0.33 km 2 , about 17.65 % of study areas. This small-scale natural disaster risk assessment encapsulates the principle of “regional characteristics, case accumulation, long-term record.” The evaluation results can be used as reference for regional temporary migration program design and implementation. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • Yaolong Liu & Guorui Feng & Ye Xue & Huaming Zhang & Ruoguang Wang, 2015. "Small-scale natural disaster risk scenario analysis: a case study from the town of Shuitou, Pingyang County, Wenzhou, China," 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. 75(3), pages 2167-2183, February.
    • Handle: RePEc:spr:nathaz:v:75:y:2015:i:3:p:2167-2183
    DOI: 10.1007/s11069-014-1420-0
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    2. Zhengtao Zhang & Ning Li & Hong Xu & Jieling Feng & Xi Chen & Chao Gao & Peng Zhang, 2019. "Allocating assistance after a catastrophe based on the dynamic assessment of indirect economic losses," 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. 99(1), pages 17-37, October.

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