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Fine assessment of tropical cyclone disasters based on GIS and SVM in Zhejiang Province, China

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  • Weiping Lou
  • Haiyan Chen
  • Xiaoling Shen
  • Ke Sun
  • Shengrong Deng

Abstract

Tropical cyclones represent major natural disasters in low- and mid-latitude coastal areas. Effective assessment of tropical cyclone disasters provides a scientific reference for the formulation of tropical cyclone prevention and disaster-relief measures. Tropical cyclone disasters in Zhejiang Province are mainly studied based on GIS technology, by considering disaster-causing factors, disaster-affected bodies, the disaster-formative environment, and spatial distribution of disaster prevention and relief capacity. In light of an uncertain nonlinear relationship between assessment factors and disaster factors, we used support vector machines to establish a fine, quantitative assessment model. This model evaluates the following disaster indices: Disaster-affected population, direct economic loss, affected crop area, and number of damaged houses resulting from a tropical cyclone disaster in Zhejiang, with the county as basic assessment unit. Assessment of tropical cyclone No. 0908 shows that the developed assessment model is able to accurately evaluate the geographical distribution of losses caused by a tropical cyclone. Copyright Springer Science+Business Media B.V. 2012

Suggested Citation

  • 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.
    • Handle: RePEc:spr:nathaz:v:64:y:2012:i:1:p:511-529
    DOI: 10.1007/s11069-012-0254-x
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    References listed on IDEAS

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    1. 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.
    2. Michael E. Mann & Jonathan D. Woodruff & Jeffrey P. Donnelly & Zhihua Zhang, 2009. "Atlantic hurricanes and climate over the past 1,500 years," Nature, Nature, vol. 460(7257), pages 880-883, August.
    3. Fumihiko Imamura & Dang Van To, 1997. "Flood and Typhoon Disasters in Viet Nam in the Half Century Since 1950," 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. 15(1), pages 71-87, January.
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    Cited by:

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    2. Chonglan Guo & Xiaoxia Xu & Zaiwu Gong, 2014. "Co-integration analysis between GDP and meteorological catastrophic factors of Nanjing city based on the buffer operator," 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 1091-1105, March.
    3. Tengjiao Guo & Guosheng Li, 2020. "Study on methods to identify the impact factors of economic losses due to typhoon storm surge based on confirmatory factor 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. 100(2), pages 515-534, January.

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