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A systemic analysis of typhoon risk across China

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  • Xinliang Xu
  • Daowei Sun
  • Tengjiao Guo

Abstract

China is one of the countries that have been continuously experiencing negative impacts by typhoons. Typhoons cause severe damage annually, not only to the regional economy, but they are also responsible for frequent human casualties. This research comprehensively assesses the impact of typhoons across China by using the geographical information system based on time series data between 1980 and 2012. Results indicate that typhoons affected 61 % of the total landmass of China during this timeframe with a total affected area of approximately 5.91 million km 2 . In addition, some coastal regions of south-east China experienced nearly 300 typhoon landfalls. The key entities of this study that are used to assess typhoon risk across China include population, gross domestic production, road networks and land use. As a result, the vulnerabilities of each entity in the typhoon-affected region of China were calculated before leading to the regional typhoon risk indexes. Based on the range of typhoon risk indexes, the typhoon-affected areas in China were zoned into four regions with different levels of typhoon risk. This research will facilitate decision-making by policy makers on the mitigation of typhoon risks. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • 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.
    • Handle: RePEc:spr:nathaz:v:77:y:2015:i:1:p:461-477
    DOI: 10.1007/s11069-015-1586-0
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    1. 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.
    2. Peng Ye & Xueying Zhang & Ge Shi & Shuhui Chen & Zhiwen Huang & Wei Tang, 2020. "TKRM: A Formal Knowledge Representation Method for Typhoon Events," Sustainability, MDPI, vol. 12(5), pages 1-19, 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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