Volume 14 Issue 2
Apr.  2023
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Yan Yan, Jiaojiao Zhou, Cheng Xie, Shuyao Yin, Sheng Hu, Renchao Wang. Quantitative Estimation of Pipeline Slope Disaster Risk in China[J]. International Journal of Disaster Risk Science, 2023, 14(2): 298-312. doi: 10.1007/s13753-023-00462-5
Citation: Yan Yan, Jiaojiao Zhou, Cheng Xie, Shuyao Yin, Sheng Hu, Renchao Wang. Quantitative Estimation of Pipeline Slope Disaster Risk in China[J]. International Journal of Disaster Risk Science, 2023, 14(2): 298-312. doi: 10.1007/s13753-023-00462-5

Quantitative Estimation of Pipeline Slope Disaster Risk in China

doi: 10.1007/s13753-023-00462-5

This study was financially supported by the National Natural Science Foundation of China (Grant Nos. 42120104002, 42271075, and U21A2008).

  • Accepted Date: 2023-01-11
  • Available Online: 2023-04-28
  • Publish Date: 2023-02-06
  • China's economic development is closely related to oil and gas resources, and the country is investing heavily in pipeline construction. Slope geological hazards seriously affect the long-term safe operation of buried pipelines, usually causing pipeline leakage, property and environmental losses, and adverse social impacts. To ensure the safety of pipelines and reduce the probability of pipeline disasters, it is necessary to predict and quantitatively evaluate slope hazards. While there has been much research focus in recent years on the evaluation of pipeline slope disasters and the stress calculation of pipelines under hazards, existing methods only provide information on the occurrence probability of slope events, not whether a slope disaster will lead to pipeline damage. Taking the 2015 Xinzhan landslide in Guizhou Province, China, as an example, this study used discrete elements to simulate landslide events and determine the risk level and scope for pipeline damage, and then established a pipe-soil coupling model to quantitatively evaluate the impact of landslide hazards for pipelines in medium- and high-risk areas. The results provide a reference for future pipeline disaster prevention and control.
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