人民长江 ›› 2022, Vol. 53 ›› Issue (10): 108-115.doi: 10.16232/j.cnki.1001-4179.2022.10.017

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中缅天然气管道沿线地质灾害风险评价

潘禹臣;汤明高;倪文涛;唐茂   

  • 发布日期:2022-11-23

Risk assessment of geological disasters along China-Myanmar natural gas pipeline

PAN Yuchen+,TANG Minggao,NI Wentao, TANG Mao   

  • Published:2022-11-23

摘要: 中缅天然气管道作为中国天然气进口的西南战略通道,管道沿线地质灾害的发育是威胁管道安全的主要因素。以中缅天然气管道线路所经过的区域为研究对象,基于2019~2020年管道沿线地质灾害汛后排查成果,结合沿线的地质环境条件,建立区域内地质灾害风险评价指标体系。将各评价指标下地质灾害累计发生频率曲线拐点作为分级依据,对各指标因子进行状态分级,最后通过灰色关联分析计算权重,利用加权信息量模型完成对中缅天然气管道沿线的地质灾害风险评价。研究结果表明:高、中、低风险性区域分别占研究区总面积的30.73%,22.43%,46.84%;ROC曲线证明加权信息量模型对管道沿线区域评价的精度达到80.03%,评价结果理想。研究结果可为管道沿线区域内地质灾害的防治提供重要的参考依据。

关键词: 地质灾害;管道安全;风险评价;灰色关联分析;信息量模型;中缅天然气管道;

Abstract: The China-Myanmar natural gas pipeline, as a strategic natural gas import channel in the southwest of China, faces threats of geological disasters along the pipeline. Taking the area along the China-Myanmar natural gas pipeline as the research object, based on the investigation results of geological disasters along the pipeline after flood season from 2019 to 2020, and combined with the geological environment conditions along the pipeline, a regional geological disaster risk assessment index system is established. According to the inflection point of the cumulative occurrence frequency curve of geological disasters under each evaluation index as the classification basis, the status of each index factor is classified. Finally, the grey relational analysis is used to calculate the weight, and the weighted information value model is used to complete the risk assessment of geological disasters along the China-Myanmar natural gas pipeline. The results show that high risk, medium risk and low risk area respectively account for 30.73%,22.43%,46.84% of the total study area. The ROC curve shows that the weighted information model can achieve the accuracy of 80.03% for the evaluation, the evaluation result is ideal. The research results can provide an important reference for the protection of geological disasters in the area along the pipeline.

Key words: geological disasters; pipeline safety; risk assessment; grey relational analysis; information value model; China-Myanmar natural gas pipeline