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Tornado hazards on June 23 in Jiangsu Province, China: preliminary investigation and analysis

Author

Listed:
  • Hai-Min Lyu

    (Shanghai Jiao Tong University)

  • Guo-Fu Wang

    (Jinan Rail Transit Group Co., Ltd.
    Shandong University of Science and Technology)

  • Wen-Chieh Cheng

    (Shanghai Jiao Tong University)

  • Shui-Long Shen

    (Shanghai Jiao Tong University)

Abstract

This paper reported a tornado hazard happened on June 23, 2016, in Yancheng city, Jiangsu Province. The moving footprint of this huge tornado was from west to east. Shuoji, Chenliang, Goudun, Banhu, Xingou, Wutan towns in Funing district and Sheyang town in Sheyang district were severely hit by this tornado. This tornado along with rainstorm and hailstorm had claimed 99 lives and caused more than 3800 flats to collapse as well as damaged 48 high-voltage circuits. As the cold air from northwest met the subtropical high pressure system that forms over relatively cool water bodies (i.e., Indian and Pacific Oceans), such a powerful meteorological phenomenon was initiated. The strong connective airflow intensified the development of this tornado. Based on the preliminary investigation and analysis of this tornado, cost-effective timber structures with adequate anchorage of the framing to foundations and adequate connection between walls and roofs may be recommended to ensure occupants safety and reduce potential damage in these extreme wind events. Additionally, it is suggested to utilize early warning system along with geographical information system (GIS), Global Positioning System (GPS), and remote sensing (RS) (3S) to monitor and precast the occurrence of rainfall, hailstorm, and tornado hazards in future.

Suggested Citation

  • Hai-Min Lyu & Guo-Fu Wang & Wen-Chieh Cheng & Shui-Long Shen, 2017. "Tornado hazards on June 23 in Jiangsu Province, China: preliminary investigation and 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. 85(1), pages 597-604, January.
    • Handle: RePEc:spr:nathaz:v:85:y:2017:i:1:d:10.1007_s11069-016-2588-2
    DOI: 10.1007/s11069-016-2588-2
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    References listed on IDEAS

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    11. Yang, Zhen & Dong, Xiaobin & Guo, Li, 2023. "Scenario inference model of urban metro system cascading failure under extreme rainfall conditions," Reliability Engineering and System Safety, Elsevier, vol. 229(C).
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