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 XIONG Junana*,CAO Yifana,SUN Ming,et al.Vulnerability Evaluation of Long-Distance Oil and Gas Pipelines under Landslide Actions Based on GIS and Entropy Weight Method[J].Mountain Research,2020,(5):717-725.[doi:10.16089/j.cnki.1008-2786.000549]





Vulnerability Evaluation of Long-Distance Oil and Gas Pipelines under Landslide Actions Based on GIS and Entropy Weight Method
熊俊楠1a*曹依帆1a孙 铭2王迎兵3雍志玮1b
1.西南石油大学 a.土木工程与测绘学院; b.地球科学与技术学院,成都 610500; 2.四川省第一测绘工程院,成都 610100; 3.成都市华丰工程勘察设计有限公司 成都 610041
XIONG Junan1a* CAO Yifan1a SUN Ming2 WANG Yingbing3 YONG Zhiwei1b
1. a. School of Civil Engineering and Geomatics; b. School of Geoscience and Technology, Southwest Petroleum University, Chengdu 610500, China; 2. The First Surveying and Mapping Institute of Sichuan Province, Chengdu 610100, China; 3. Chengdu Huafeng Engineering Survey and Design Co., Ltd., Chengdu 610041, China
滑坡 输油管道 熵权法 易损性评价
landslide pipeline entropy weight method vulnerability evaluation
Landslides are one of the most popular geohazards threatening pipeline engineering in China. For the purpose of decision-making and geohazard prevention and control in pipeline construction, it is of great significance to evaluate the vulnerability of long-distance oil and gas pipelines subjected to landslides.In this research, it conducted field survey on geohazards along the Guangyuan section of the Lanzhou-Chengdu-Chongqing(Lan-Cheng-Yu)oil pipeline. In terms of the spatial relationship between pipelines and landslides, and the physical properties of pipelines, 9 evaluation indexes including pipeline defect density, pipe wall thickness, buried depth of pipeline, the angle between pipeline and slope, pipeline position, etc. were selected to make an quantitative evaluation on pipeline vulnerability and grade division based on ArcGIS, MATLAB software platform and entropy weight theory; therefore it proposed the corresponding management strategy. The results showed that:(1)the values of entropy weights for pipeline defect density, pipe wall thickness and the angle between pipeline and slope were 0.679, 0.154 and 0.102 respectively; All of the three indexes had the greatest influence on pipeline vulnerability;(2)The pipeline sections with low, medium, high and very high vulnerability accounted for 66.66%, 20.56%, 12.22% and 0.56%, respectively; Accordingly the length accounted for 62.06%, 25.72%, 12.11% and 0.11%, respectively;(3)The pipeline vulnerability level in the north of the study area was low, but in the south was high. The pipelines with high and very high vulnerability were mainly distributed in Xiasi Town and Baolun Town. In view of this part of the pipeline, we recommend that increase the prevention and control engineering, carry out the real time monitoring, and achieve timely maintenance.The evaluation results fairly match with current reality of pipeline vulnerability in the study area, and can provide a reliable reference for pipeline management in the study area and pipeline route planning in other similar areas.


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收稿日期(Received date):2018-12-04; 改回日期(Accepted date): 2020-07-30
基金项目(Foundation item):中国科学院战略性先导科技专项(XDA20030302); 水科院全国山洪灾害调查评价项目(SHZH-IWHR-57); 数字福建自然灾害监测大数据研究所开放课题(NDMBD2018003); 西南石油大学科技创新团队项目(2017CXTD09)。[Strategic Priority Research Program of Chinese Academy of Sciences(XDA20030302); National Mountain Flood Disaster Investigation Project of China Institute of Water Resources and Hydropower(SHZH-IWHR-57); Open Fund of Big Data Institute of Digital Natural Disaster Monitoring in Fujian(NDMBD2018003); Innovation Team Projects of Southwest Petroleum University of Science and Technology(2017CXTD09)]
作者简介(Biography):熊俊楠(1981-),男,四川南充人,博士,教授,主要研究方向:地理信息系统与灾害风险分析。[XIONG Junnan(1981-), male, born in Nanchong, Sichuan province, Ph.D., professor, mainly engaged in the research on GIS and disaster risk analysis] E-mail: neu_xjn@163. com
更新日期/Last Update: 2020-09-30