Disaster-Accident Chain Deduction and Emergency Prevention and Control Measures of Crossing Gas Pipelines Under Extreme Disaster Scenarios

Yanhong Chen; Yuqi Zhang; Chuanhong Huang; Xin Zhang

doi:10.47297/taposatWSP2633-456927.20260708

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Disaster-Accident Chain Deduction and Emergency Prevention and Control Measures of Crossing Gas Pipelines Under Extreme Disaster Scenarios

Volume 7, Issue 8

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Disaster-Accident Chain Deduction and Emergency Prevention and Control Measures of Crossing Gas Pipelines Under Extreme Disaster Scenarios
Disaster-Accident Chain Deduction and Emergency Prevention and Control Measures of Crossing Gas Pipelines Under Extreme Disaster Scenarios
Chongqing University of Science and Technology,Chongqing, Chongqing, 401331, China
Vol. 7, Issue 8, Pages: 136-141(2026)
Published：30 August 2026
DOI：10.47297/taposatWSP2633-456927.20260708
Accepted：

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Chen Yanhong,Zhang Yuqi,Huang Chuanhong,et al.Disaster-Accident Chain Deduction and Emergency Prevention and Control Measures of Crossing Gas Pipelines Under Extreme Disaster Scenarios[J].Theory and Practice of Science and Technology,2026,07(08):136-141.
DOI：

Chen Yanhong,Zhang Yuqi,Huang Chuanhong,et al.Disaster-Accident Chain Deduction and Emergency Prevention and Control Measures of Crossing Gas Pipelines Under Extreme Disaster Scenarios[J].Theory and Practice of Science and Technology,2026,07(08):136-141. DOI： 10.47297/taposatWSP2633-456927.20260708.

摘要

Abstract

To reveal the cascading evolution mechanism of multi-hazard coupling accidents of mountain crossing gas pipelines under extreme disaster scenarios

this study takes the Nanguang River suspension-bridge crossing pipeline of the Ning-Shuang pipeline as the research object. Based on field investigation

multi-source accident data statistics

Event Tree Analysis (ETA) and Fault Tree Analysis (FTA)

a complete disaster-accident chain framework covering hazard-causing factors

intermediate evolutionary events and terminal consequence events is constructed. A weighted directed complex network model is established via multi-source data fusion fuzzy mathematics

and Gephi software is used to calculate multiple topological indicators for core risk node identification and vulnerable propagation path screening. The results show that support system failure

pipeline overstress and natural gas leakage are the core hub nodes that dominate the disaster chain evolution. The flood-induced disaster chain possesses the highest conventional operation risk

while the earthquake-induced disaster chain has the fastest propagation efficiency under extreme conditions. Targeting the key risk links

a three-level full-cycle emergency prevention and control system integrating pre-disaster early warning

in-process chain blocking and post-disaster restoration optimization is proposed. The research findings can provide theoretical references and engineering guidance for extreme disaster risk management of similar overhead crossing gas pipelines in mountainous areas.

关键词

Keywords

references

Cherp A, Adenikinju A, Goldthau A, et al. Energy and security[M]//Global energy assessment: Toward a sustainable future. Cambridge University Press, 2012: 325-383.

Troxel C E. Long-distance natural gas pipe lines[J]. J. Land & Pub. Util. Econ., 1936, 12: 344.

Lukonge A B, Cao X. Leak detection system for long-distance onshore and offshore gas pipeline using acoustic emission technology. A review[J]. Transactions of the Indian Institute of Metals, 2020, 73(7): 1715-1727.

Prasad V, Almara L M, Wang G X. Ultra-long-distance transport of supercritical natural gas (SNG) at very-high mass flow rates via pipelines through land, underground, water bodies, and ocean[J]. Gas Science and Engineering, 2023, 117: 205053.

Wang L, Tian X. Numerical investigation of the leakage and diffusion characteristics of hydrogen-blended natural gas in long-distance pipelines[J]. International Journal of Hydrogen Energy, 2024, 90: 950-960.

Li Y, Zhang C, Zhang G. The development characteristics and formation modes of rainstorm-triggered flash flood disasters in the Hengduan Mountains[J]. Journal of Geographical Sciences, 2025, 35(3): 619-640.

Ye P, Yu B, Chen W, et al. Risk assessment of landslide and rockfall hazards in hilly region of southwestern China: a case study of Qijiang, Wuxi and Chishui[J]. Environmental Earth Sciences, 2024, 83(13): 398.

Yu H, Xu F, Zhang M. Comprehensive Review on Wind Resistance Research of Pipeline Suspension Bridges[J]. Journal of Pipeline Systems Engineering and Practice, 2026, 17(2): 03126001.

Abdoul Nasser A H, Ndalila P D, Mawugbe E A, et al. Mitigation of risks associated with gas pipeline failure by using quantitative risk management approach: A descriptive study on gas industry[J]. Journal of Marine Science and Engineering, 2021, 9(10): 1098.

Guo H, He X, Lv X, et al. Risk analysis of rainstorm-urban lifeline system disaster chain based on the PageRank-risk matrix and complex network[J]. Natural Hazards, 2024, 120(12): 10583-10606.

Wang J, Gu X, Huang T. Using Bayesian networks in analyzing powerful earthquake disaster chains[J]. Natural hazards, 2013, 68(2): 509-527.

Zhu X, Ran M, Regan D. A hybrid complex network-ML approach for critical state identification and mitigation in emergency supply chain cascading failures[J]. Reliability Engineering & System Safety, 2026: 112796.

Zhang L, Wang W, Guo Q, et al. Research on Scenario Evolution and Emergency Decision-Making Analysis for Earthquake Disaster Chain[J]. Natural Hazards Review, 2026, 27(2): 04026004.