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Typhoon disaster in China: prediction, prevention, and mitigation

Author

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  • Defu Liu
  • Liang Pang
  • Botao Xie

Abstract

Typhoon-induced disaster is one of the most important factors influencing the economic development and more than 250 million in China. In view of the existing state of typhoon disaster prediction, prevention, and mitigation, this paper proposes a new probability model, Multivariate Compound Extreme Value Distribution (MCEVD), to predict typhoon-induced extreme disaster events. This model establishes prevention criteria for coastal areas, offshore structures, and estuarine cities, and provides an appropriate mitigation scheme for disaster risk management and decision-making. Copyright Springer Science+Business Media B.V. 2009

Suggested Citation

  • Defu Liu & Liang Pang & Botao Xie, 2009. "Typhoon disaster in China: prediction, prevention, and mitigation," 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 421-436, June.
    • Handle: RePEc:spr:nathaz:v:49:y:2009:i:3:p:421-436
    DOI: 10.1007/s11069-008-9262-2
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    References listed on IDEAS

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    1. Daoji Shi & Shengsheng Zhou, 1999. "Moment Estimation for Multivariate Extreme Value Distribution in a Nested Logistic Model," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 51(2), pages 253-264, June.
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    Cited by:

    1. Jing-Li Fan & Shuo Shen & Jian-Da Wang & Shi-Jie Wei & Xian Zhang & Ping Zhong & Hang Wang, 2020. "Scientific and technological power and international cooperation in the field of natural hazards: a bibliometric 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. 102(3), pages 807-827, July.
    2. Yi Li & Weihua Fang & Xiaogang Duan, 2019. "On the driving forces of historical changes in the fatalities of tropical cyclone disasters in China from 1951 to 2014," 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. 98(2), pages 507-533, September.
    3. Wenchao Zhang & Wei Wang & Junfen Lin & Ying Zhang & Xiaopeng Shang & Xin Wang & Meilin Huang & Shike Liu & Wei Ma, 2017. "Perception, Knowledge and Behaviors Related to Typhoon: A Cross Sectional Study among Rural Residents in Zhejiang, China," IJERPH, MDPI, vol. 14(5), pages 1-12, May.
    4. Hong Wang & Min Xu & Anselem Onyejuruwa & Yanjun Wang & Shanshan Wen & Andrew E. Gao & Yubin Li, 2019. "Tropical cyclone damages in Mainland China over 2005–2016: losses analysis and implications," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 21(6), pages 3077-3092, December.
    5. Geng, Ruiying & Liu, Xin & Lv, Xin & Gao, Zhiqiang & Xu, Ning, 2021. "Comparing cost-effectiveness of paddy fields and seawalls for coastal protection to reduce economic damage of typhoons in China," Ecosystem Services, Elsevier, vol. 47(C).
    6. Xinliang Xu & Daowei Sun & Tengjiao Guo, 2015. "A systemic analysis of typhoon risk across 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. 77(1), pages 461-477, May.
    7. Stamford, Laurence & Azapagic, Adisa, 2011. "Sustainability indicators for the assessment of nuclear power," Energy, Elsevier, vol. 36(10), pages 6037-6057.
    8. Wei-ping Lou & Hai-yan Chen & Xin-fa Qiu & Qi-yi Tang & Feng Zheng, 2012. "Assessment of economic losses from tropical cyclone disasters based on PCA-BP," 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. 60(3), pages 819-829, February.
    9. Kelin Hu & Qin Chen & Sytske Kimball, 2012. "Consistency in hurricane surface wind forecasting: an improved parametric 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. 61(3), pages 1029-1050, April.
    10. Weiping Lou & Haiyan Chen & Xiaoling Shen & Ke Sun & Shengrong Deng, 2012. "Fine assessment of tropical cyclone disasters based on GIS and SVM in Zhejiang Province, 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. 64(1), pages 511-529, October.

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