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Vulnerability Assessment of Mine Flooding Disaster Induced by Rainstorm Based on Tri-AHP

Author

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  • Zuo Sun

    (Emergency Science Research Institute, Chinese Institute of Coal Science, Beijing 100013, China
    School of Emergency Management and Safety Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China
    Beijing Technology Research Branch of Tiandi Technology Co., Ltd., Beijing 100013, China)

  • Qingjie Qi

    (Emergency Science Research Institute, Chinese Institute of Coal Science, Beijing 100013, China
    Beijing Technology Research Branch of Tiandi Technology Co., Ltd., Beijing 100013, China)

  • Yingjie Liu

    (Emergency Science Research Institute, Chinese Institute of Coal Science, Beijing 100013, China
    Beijing Technology Research Branch of Tiandi Technology Co., Ltd., Beijing 100013, China)

Abstract

As a disaster-bearing body, the coal mine is vulnerable to the impact threat of rainstorm disasters, which easily induce flooding accidents. In view of this, this study is designed to propose the vulnerability assessment method of rainstorm-induced coal mine flooding disasters. On account of the scientific theory of disaster risk, the evaluation model and index system of coal mine flooding disaster induced by rainstorm covering exposure, fortification level, and resilience are constructed, while the vulnerability assessment method based on Tri-AHP method is proposed. Study results demonstrate that population exerts the greatest impact on exposure, wellhead elevation matters the most for fortification level, and the emergency plan has a dominant influence on resilience. Therefore, for coal mines, it is suggested to strengthen the special rainstorm emergency plan drill, improve the fortification level, and solidify the emergency duty during the rainy season. In this study, the rainstorm disaster vulnerability assessment method of coal mine is innovatively put forward, which is conducive to sustainable energy and environmental development.

Suggested Citation

  • Zuo Sun & Qingjie Qi & Yingjie Liu, 2022. "Vulnerability Assessment of Mine Flooding Disaster Induced by Rainstorm Based on Tri-AHP," Sustainability, MDPI, vol. 14(24), pages 1-14, December.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:24:p:16731-:d:1002580
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    References listed on IDEAS

    as
    1. Zuo Sun & Yingjie Liu & Qingjie Qi & Wengang Liu & Dan Li & Jiamei Chai, 2022. "Risk Assessment of Coal Mine Flood Disasters Based on Projection Pursuit Clustering Model," Sustainability, MDPI, vol. 14(18), pages 1-18, September.
    2. Mohammad Ahmad & Weihu Cheng, 2022. "A Novel Approach of Fuzzy Control Chart with Fuzzy Process Capability Indices Using Alpha Cut Triangular Fuzzy Number," Mathematics, MDPI, vol. 10(19), pages 1-15, September.
    3. Fei Ma & Fei Liu & Kum Fai Yuen & Polin Lai & Qipeng Sun & Xiaodan Li, 2019. "Cascading Failures and Vulnerability Evolution in Bus–Metro Complex Bilayer Networks under Rainstorm Weather Conditions," IJERPH, MDPI, vol. 16(3), pages 1-30, January.
    4. Md Nazirul Islam Sarker & Min Wu & G M Monirul Alam & Roger C. Shouse, 2019. "Livelihood Vulnerability of Riverine-Island Dwellers in the Face of Natural Disasters in Bangladesh," Sustainability, MDPI, vol. 11(6), pages 1-23, March.
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