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Spatial–temporal distribution of storm surge damage in the coastal areas of China

Author

Listed:
  • Xianwu Shi
  • Shan Liu
  • Saini Yang
  • Qinzheng Liu
  • Jun Tan
  • Zhixing Guo

Abstract

Storm surges account for increasing economic losses and casualties (including death and missing) because of sea-level rise and growing population in coastal areas. China is one of the several countries severely affected by storm surge disasters. In this study, the annual variation and geographical distribution of direct economic losses and casualties caused by storm surge in coastal areas of China were analyzed based on the losses database. The results show that: (1) the frequency of the tropical storm surges over the past 65 years has risen remarkably with a significant trend, while the frequency of extra-tropical storm surges does not display this trend; (2) the annual casualties caused by storm surge have decreased, with Zhejiang, Fujian, and Guangdong provinces suffering the highest casualties from storm surge; and (3) the annual direct economic losses present no obvious trend, with Guangdong, Zhejiang, and Fujian experiencing the highest direct economic losses from storm surge. Taking GDP and the gross ocean production into consideration, their loss rates show an obvious decreasing trend over the past 25 years. Although population and exposed value have increased rapidly in coastal areas, the casualties and economic loss rate show a decreasing trend, suggesting that disaster reduction measures by the Chinese government have had a significant effect in storm surge disaster prevention. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • Xianwu Shi & Shan Liu & Saini Yang & Qinzheng Liu & Jun Tan & Zhixing Guo, 2015. "Spatial–temporal distribution of storm surge damage in the coastal areas of 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. 79(1), pages 237-247, October.
    • Handle: RePEc:spr:nathaz:v:79:y:2015:i:1:p:237-247
    DOI: 10.1007/s11069-015-1838-z
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    References listed on IDEAS

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    1. F. Vinet & D. Lumbroso & S. Defossez & L. Boissier, 2012. "A comparative analysis of the loss of life during two recent floods in France: the sea surge caused by the storm Xynthia and the flash flood in Var," 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. 61(3), pages 1179-1201, April.
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    Cited by:

    1. Ke Wang & Yongsheng Yang & Genserik Reniers & Quanyi Huang, 2021. "A study into the spatiotemporal distribution of typhoon storm surge disasters in 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. 108(1), pages 1237-1256, August.
    2. Weichao Yang & De Hu & Xuelian Jiang & Xuebo Dun & Bingtao Hou & Chuanxing Zheng & Caixia Chen & Rong Zhuang, 2022. "Framework for Spatio-Temporal Distribution of Disasters and Influencing Factors: Exploratory Study of Tianjin, China," Sustainability, MDPI, vol. 14(17), pages 1-23, August.
    3. Yebao Wang & Jiaqi Liu & Xin Du & Qian Liu & Xin Liu, 2021. "Temporal-spatial characteristics of storm surges and rough seas in coastal areas of Mainland China from 2000 to 2019," 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. 107(2), pages 1273-1285, June.
    4. Xiaotong Sui & Mingzhao Hu & Haoyun Wang & Lingdi Zhao, 2023. "Improved elasticity estimation model for typhoon storm surge losses in 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. 116(2), pages 2363-2381, March.
    5. Xue Jin & U. Rashid Sumaila & Kedong Yin, 2020. "Direct and Indirect Loss Evaluation of Storm Surge Disaster Based on Static and Dynamic Input-Output Models," Sustainability, MDPI, vol. 12(18), pages 1-25, September.
    6. Jie Song & Zhong-Ren Peng & Liyuan Zhao & Chih-Hung Hsu, 2016. "Developing a theoretical framework for integrated vulnerability of businesses to sea level rise," 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. 84(2), pages 1219-1239, November.
    7. Kai Yin & Sudong Xu & Wenrui Huang, 2016. "Modeling sediment concentration and transport induced by storm surge in Hengmen Eastern Access Channel," 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 617-642, May.
    8. Wenmin Qin & Aiwen Lin & Jian Fang & Lunche Wang & Man Li, 2017. "Spatial and temporal evolution of community resilience to natural hazards in the coastal areas of 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. 89(1), pages 331-349, October.
    9. Xue Jin & Xiaoxia Shi & Jintian Gao & Tongbin Xu & Kedong Yin, 2018. "Evaluation of Loss Due to Storm Surge Disasters in China Based on Econometric Model Groups," IJERPH, MDPI, vol. 15(4), pages 1-19, March.
    10. Xilin Zhang & Dongdong Chu & Jicai Zhang, 2021. "Effects of nonlinear terms and topography in a storm surge model along the southeastern coast of China: a case study of Typhoon Chan-hom," 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. 107(1), pages 551-574, May.

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