时序InSAR技术支持下的油气管线沿线滑坡识别及分析

doi:10.13474/j.cnki.11-2246.2026.1001

测绘通报 ›› 2026, Vol. 0 ›› Issue (10): 1-11.doi: 10.13474/j.cnki.11-2246.2026.1001

• 滑坡灾害识别 •

时序InSAR技术支持下的油气管线沿线滑坡识别及分析

葛鹏飞^1,2,3,4, 马永财⁵, 喻孟良¹, 陈蜜^2,3,4, 薛跃明¹, 邱美诗¹, 夏泽虹¹, 成曦^2,3,4, 范凯伦^2,3,4

1. 中国地质环境监测院, 北京 100081;
2. 首都师范大学资源环境与旅游学院, 北京 100048;
3. 首都师范大学城市环境过程与数字模拟国家重点实验室培育基地, 北京 100048;
4. 首都师范大学水资源安全北京实验室, 北京 100048;
5. 辽宁省地质矿产投资开发集团有限公司, 辽宁沈阳 110031

收稿日期:2026-01-14 发布日期:2026-11-06
通讯作者: 马永财。E-mail:symayongcai@163.com
作者简介:葛鹏飞(1999—),男,硕士,研究方向为InSAR形变监测。E-mail:1336196302@qq.com

Landslide identification and analysis along oil and gas pipelines using time-series InSAR technology

Ge Pengfei^1,2,3,4, Ma Yongcai⁵, Yu Mengliang¹, Chen Mi^2,3,4, Xue Yueming¹, Qiu Meishi¹, Xia Zehong¹, Cheng Xi^2,3,4, Fan Kailun^2,3,4

1. China Institute for Geo-Environmental Monitoring, Beijing 100081, China;
2. College of Resources Environment and Tourism, Capital Normal University, Beijing 100048, China;
3. State Key Laboratory of Urban Environmental Processes and Digital Simulation, Capital Normal University, Beijing 100048, China;
4. Beijing Laboratory of Water Resources Security, Capital Normal University, Beijing 100048, China;
5. Liaoning Geo-Mineral Investment and Development Group Co., Ltd., Shenyang 110031, China

Received:2026-01-14 Published:2026-11-06

摘要/Abstract

摘要： [目的] 长输油气管道跨越区域广，沿途地形地貌变化多样，地质条件较为复杂。在经过地质灾害易发区时，管道容易遭到破坏从而造成极大的财产损失，因此对油气管线沿线滑坡实施监测尤为重要。[方法] 本文以长庆油气管线途径区域为研究区，采用DS-InSAR技术获取研究区内地表形变信息，在对2020年1月至2022年5月Sentinel-1数据分析的基础上进行滑坡识别，并结合土壤侵蚀模数及多种影响因子，利用随机森林可解释性分析方法量化研究区内滑坡诱发因素的相对贡献。[结果] 研究区共识别出348处滑坡隐患点，其中长庆油气管线沿线5 km走廊范围内共计识别188处滑坡隐患点。[结论] 分析结果表明，地形起伏度、归一化植被指数(NDVI)、土壤侵蚀模数及降水是影响研究区边坡稳定性的核心主导因子。

关键词: 油气管线, 黄土滑坡, 时序InSAR, 土壤侵蚀, 可解释性分析

Abstract: [Purposes] Long-distance oil and gas pipelines cover a wide area,with diverse terrain and landforms along the way and rather complex geological conditions.When passing through areas prone to geological disasters,pipelines are prone to damage,which can cause huge property losses.Therefore,it is particularly important to monitor landslides along oil and gas pipelines. [Methods] This paper takes the area passed by the Changqing oil and gas pipeline as the research area.The DS-InSAR technology is adopted to obtain the surface deformation information in the research area.Based on the analysis of Sentinel-1 data from January 2020 to May 2022,landslide identification is carried out,and combining soil erosion modulus and multiple influencing factors,the random forest interpretability analysis method is used to quantify the relative contributions of landslide inducing factors in the study area. [Findings] A total of 348 landslide hazard points were identified in the study area.Among them,188 landslide hazard points were identified within a 5 km corridor along the Changqing oil and gas pipeline. [Conclusions] The factor contribution analysis results showed that terrain undulation,normalized vegetation index (NDVI),soil erosion modulus and precipitation were the core dominant factors affecting the stability of the slopes in the study area．

Key words: oil and gas pipelines, loess landslides, time-series InSAR, soil erosion, explainable analysis

中图分类号:

P237
P258

葛鹏飞, 马永财, 喻孟良, 陈蜜, 薛跃明, 邱美诗, 夏泽虹, 成曦, 范凯伦. 时序InSAR技术支持下的油气管线沿线滑坡识别及分析[J]. 测绘通报, 2026, 0(10): 1-11.

Ge Pengfei, Ma Yongcai, Yu Mengliang, Chen Mi, Xue Yueming, Qiu Meishi, Xia Zehong, Cheng Xi, Fan Kailun. Landslide identification and analysis along oil and gas pipelines using time-series InSAR technology[J]. Bulletin of Surveying and Mapping, 2026, 0(10): 1-11.

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时序InSAR技术支持下的油气管线沿线滑坡识别及分析

Landslide identification and analysis along oil and gas pipelines using time-series InSAR technology

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