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Study on disaster-causing probability evaluation of gas pipeline in karst area

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  • Qiaochu Li
  • Peng Zhang

Abstract

In this paper, a disaster-causing probability evaluation method of gas pipelines in karst areas based on disaster system theory and vulnerability theory is proposed. The hazard evaluation index system of gas pipeline disaster events in karst areas is established from three aspects: the activity of disaster-prone environment, the risk of disaster factors and the vulnerability of disaster-bearing bodies. Combined with the advantages of information transmission and updating of the Bayesian network model, the hazard probability of disaster events is gradually calculated from a multi-level perspective. Based on the structural reliability theory, the vulnerability evaluation function of gas pipelines in karst areas is established by considering the interaction between disaster hazard intensity and disaster resistance ability. Meanwhile, the design checkpoint method and finite element simulation are used to calculate the vulnerability probability. Finally, a new disaster-causing probability evaluation approach for gas pipelines in karst areas is formed, which comprehensively considers the event hazard and the pipeline vulnerability. The work presented in this paper can provide a reference for the safety management and accident prevention of gas pipelines crossing the karst areas.

Suggested Citation

  • Qiaochu Li & Peng Zhang, 2025. "Study on disaster-causing probability evaluation of gas pipeline in karst area," PLOS ONE, Public Library of Science, vol. 20(2), pages 1-25, February.
    • Handle: RePEc:plo:pone00:0316820
    DOI: 10.1371/journal.pone.0316820
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    References listed on IDEAS

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    1. Han Zhang & Qingshan Feng & Bingchuan Yan & Xianbin Zheng & Yue Yang & Jian Chen & Hong Zhang & Xiaoben Liu, 2023. "State of the Art of Oil and Gas Pipeline Vulnerability Assessments," Energies, MDPI, vol. 16(8), pages 1-17, April.
    2. Junhua Chen & Qiaochu Li & Peng Zhang & Xinyi Wang, 2024. "Does Technological Innovation Efficiency Improve the Growth of New Energy Enterprises? Evidence from Listed Companies in China," Sustainability, MDPI, vol. 16(4), pages 1-27, February.
    3. Xu-Wei Wang & Ye-Shuang Xu, 2022. "Investigation on the phenomena and influence factors of urban ground collapse in 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. 113(1), pages 1-33, August.
    4. Håvard Haugstvedt & Daniel Koehler, 2023. "Armed and Explosive? An Explorative Statistical Analysis of Extremist Radicalization Cases with Military Background," Terrorism and Political Violence, Taylor & Francis Journals, vol. 35(3), pages 518-532, April.
    5. Medeiros, C.P. & Alencar, M.H. & de Almeida, A.T., 2017. "Multidimensional risk evaluation of natural gas pipelines based on a multicriteria decision model using visualization tools and statistical tests for global sensitivity analysis," Reliability Engineering and System Safety, Elsevier, vol. 165(C), pages 268-276.
    6. Brito, Anderson J. & de Almeida, Adiel Teixeira & Mota, Caroline M.M., 2010. "A multicriteria model for risk sorting of natural gas pipelines based on ELECTRE TRI integrating Utility Theory," European Journal of Operational Research, Elsevier, vol. 200(3), pages 812-821, February.
    7. Phan, Hieu Chi & Dhar, Ashutosh Sutra & Bui, Nang Duc, 2023. "Reliability assessment of pipelines crossing strike-slip faults considering modeling uncertainties using ANN models," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
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