成都理工大学地质灾害防治与地质环境保护国家重点实验室,四川 成都610000
刘旻昊(1999—),男,硕士研究生,主要从事线性工程地质灾害研究。E-mail:liumih@163.com
网络首发:2026-03-27,
移动端阅览
刘旻昊, 董秀军, 杨利, 等. “三查”体系下的管道工程地质灾害早期识别研究[J/OL]. 防灾减灾工程学报, 2026,1-10.
LIU Minhao, DONG Xiujun, YANG Li, et al. Research on Early Identification of Geological Hazards in Oil Pipeline under the "Space-Air-Ground Investigation" System[J/OL]. Journal of Disaster Prevention and Mitigation Engineering, 2026, 1-10.
刘旻昊, 董秀军, 杨利, 等. “三查”体系下的管道工程地质灾害早期识别研究[J/OL]. 防灾减灾工程学报, 2026,1-10. DOI: 10.13409/j.cnki.jdpme.20250224004.
LIU Minhao, DONG Xiujun, YANG Li, et al. Research on Early Identification of Geological Hazards in Oil Pipeline under the "Space-Air-Ground Investigation" System[J/OL]. Journal of Disaster Prevention and Mitigation Engineering, 2026, 1-10. DOI: 10.13409/j.cnki.jdpme.20250224004.
管道工程沿线地质灾害具有隐蔽性、突发性等特点,针对传统人工地面巡检难以识别及工作量巨大的问题,以及管道工程地质灾害识别工作相关学术报道较少的现状,利用天-空-地协同调查的“三查”体系开展管道工程沿线地质灾害隐患早期识别工作,并针对典型识别结果进行综合分析以讨论其工程应用的可靠性。以位于成都市南郊的龙泉山脉为研究区,以敷设于此的某管道工程为示范,进行了沿线区域时序InSAR(Interferometric Synthetic Aperture Radar)地表形变时序监测与特征识别;再采用机载LiDAR(light detection and ranging)技术获取植被下真实地表微地貌数据进行重点形变区地质灾害隐患精细化识别;并结合野外现场调查以最终核验确定对管道工程有影响的地质灾害隐患。结果表明协同利用天-空-地“三查”识别手段在工程沿线共识别出地质灾害隐患89处,多为小型滑坡、崩塌与水毁灾害,且有个别典型灾害经实地考察分析后证实已对管道构成直接威胁。研究表明,将“三查”技术集成应用于多层次隐患识别的方法体系可有效应用于管道、沟谷、河道等线性范围沿途地质灾害隐患的识别工作,可为管道工程的地质灾害防治提供参考。
Geological hazards along pipeline engineering have the characteristics of concealment and suddenness. In response to the difficulties and huge workload of traditional manual ground inspections in identifying geological hazards along pipeline engineering
as well as the lack of academic reports on the identification of geological hazards along pipeline engineering
the "three inspections" system of sky air ground collaborative investigation is used to carry out early identification of geological hazards along pipeline engineering
and comprehensive analysis is conducted on typical identification results to discuss the reliability of its engineering application. Taking the Longquan Mountain Range located in the southern suburbs of Chengdu as the research area and a pipeline project laid here as a demonstration
time-series InSAR (Interferometric Synthetic Aperture Radar) surface deformation time-series monitoring and feature recognition were carried out along the route; Using airborne LiDAR (light detection and ranging) technology to obtain real surface micro topography data under vegetation for precise identification of geological hazards in key deformation areas; And combined with field investigations to ultimately verify and determine geological hazards that may affect pipeline engineering. The results showed that the collaborative use of the "three inspections" of sky
air
and ground identified a total of 89 geological hazards along the project route
mostly small-scale landslides
collapses
and water damage disasters
and a few typical disasters were confirmed to pose a direct threat to the pipeline after on-site investigation and analysis. Research has shown that integrating the "three inspections" technology into a multi-level hazard identification method system can effectively be used for identifying geological hazards along linear ranges such as pipelines
valleys
and rivers
providing reference for geological hazard prevention and control in pipeline engineering.
丁建林 , 西昕 , 张对红 . 能源安全战略下中国管道输送技术发展与展望 [J]. 油气储运 , 2022 , 41 ( 6 ): 632 - 639 .
Ding J L , Xi X , Zhang D H . Development and outlook of China's pipeline transportation technologies under energy security strategy [J]. Oil & Gas Storage and Transportation , 2022 , 41 ( 6 ): 632 - 639 .
余文秀 , 李秀珍 , 郑玲静 , 等 . 基于信息量-Scoops3D联合模型的地质灾害易发性评价 [J]. 防灾减灾工程学报 , 2024 , 44 ( 03 ): 649 - 659 .
Yu W X , Li X Z , Zheng L J , et al . Evaluation of the Susceptibility to Geological Hazards Based on the Information-Scoops3D Joint Model [J]. Journal of Disaster Prevention and Mitigation Engineering , 2024 , 44 ( 03 ): 649 - 659 .
陈国华 , 陶侠 , 黄孔星 , 等 . Natech事件油气管道脆弱性评估现状与思考 [J]. 油气储运 , 2022 , 41 ( 8 ): 892 - 899 .
Chen G H , Tao X , Huang K X , et al . Status and thinking of vulnerability assessment of oil and gas pipelines in Natech events [J]. Oil & Gas Storage and Transportation , 2022 , 41 ( 8 ): 892 - 899 .
孙伟 , 刘峻峰 , 高海英 , 等 . 输油管道重点区段SBAS-InSAR地质灾害监测研究 [J]. 石油与天然气化工 , 2021 , 50 ( 4 ): 140 - 146 .
Sun W , Liu J F , Gao H Y , et al . Research on SBAS-InSAR geological disaster monitoring in key sections of oil pipelines [J]. Chemical Engineering of Oil and Gas , 2021 , 50 ( 4 ): 140 - 146 .
钟威 , 高剑锋 . 油气管道典型地质灾害危险性评价 [J]. 油气储运 , 2015 , 34 ( 9 ): 934 - 938 .
Zhong W , Gao J F . Hazard assessment of typical geological disasters along oil and gas pipeline [J]. Oil & Gas Storage and Transportation , 2015 , 34 ( 9 ): 934 - 938 .
赵洵 , 杨鸣峰 , 魏新年 , 等 . 联合InSAR和LiDAR的油气管道沿线地质灾害隐患早期识别 [J]. 测绘通报 , 2023 ( 7 ): 131 - 135 .
Zhao X , Yang M F , Wei X N , et al . Early identification of hidden dangers of geological hazards along oil and gas pipelines combined with InSAR and LiDAR [J]. Bulletin of Surveying and Mapping , 2023 ( 7 ): 131 - 135 .
许强 , 董秀军 , 李为乐 . 基于天-空-地一体化的重大地质灾害隐患早期识别与监测预警 [J]. 武汉大学学报(信息科学版) , 2019 , 44 ( 07 ): 957 - 966 .
Xu Q , Dong X J , Li W L . Integrated Space-Air-Ground Early Detection, Monitoring and Warning System for Potential Catastrophic Geohazards [J]. Geomatics and Information Science of Wuhan University , 2019 , 44 ( 07 ): 957 - 966 .
付豪 , 李为乐 , 陆会燕 , 等 . 基于“三查”体系的丹巴县滑坡隐患早期识别与监测 [J]. 武汉大学学报(信息科学版) , 2024 , 49 ( 05 ): 734 - 746 .
Fu H , Li W L , Lu H Y , et al . Early Detection and Monitoring of Potential Landslides in Danba County Based on the Space-Air-Ground Investigation System [J]. Geomatics and Information Science of Wuhan University , 2024 , 49 ( 05 ): 734 - 746 .
赵富萌 , 张毅 , 孟兴民 , 等 . 基于小基线集雷达干涉测量的中巴公路盖孜河谷地质灾害早期识别 [J]. 水文地质工程地质 , 2020 , 47 ( 01 ): 142 - 152 .
Zhao F M , Zhang Y , Meng X M , et al . Early identification of geological hazards in the Gaizi valley near the Karakoran Highway based on SBAS-InSAR technology [J]. Hydrogeology and Engineering Geology , 2020 , 47 ( 01 ): 142 - 152 .
周胜森 , 李为乐 , 陆会燕 , 等 . “三查”体系在高植被山区地质灾害隐患识别与监测中的应用——以四川省乐山市为例 [J/OL]. 自然资源遥感 , 1 - 11 [ 2025-01-09 ].
Zhou S S , Li W L , Lu H Y , et al . Application of the "Three Checks" System in Identifying and Monitoring Geological Hazards in High Vegetation Mountainous Areas: A Case Study of Leshan City, Sichuan Province [J/OL]. Remote Sensing for Natural Resources , 1 - 11 [ 2025-01-09 ].
Yin Y P , Zheng W M , Liu Y P , et al . Integration of GPS with InSAR to Monitoring of the Jiaju Land-slide in Sichuan, China [J]. Landslides , 2010 , 7 ( 03 ): 359 - 365 .
何朝阳 . 滑坡实时监测预警系统关键技术及其应用研究 [D]. 成都理工大学 , 2020 .
He C Y . Research on Key Technologies and Applications of Real time Monitoring and Early Warning System for Landslides [D]. Chengdu University of Technology , 2020 .
戴可人 , 铁永波 , 许强 , 等 . 高山峡谷区滑坡灾害隐患InSAR早期识别—以雅砻江中段为例 [J]. 雷达学报 , 2020 , 9 ( 3 ): 554 - 568 .
Dai K R , Tie Y Q , Xu Q , et al . Early Identification of Potential Landslide Geohazards in Alpine-canyon Terrain Based on SAR Interferometry—a Case Study of the Middle Section of Yalong River [J]. Journal of Radars , 2020 , 9 ( 3 ): 554 - 568 .
张帅 , 吴磊 , 黄玮 , 等 . 天然气管道穿越长江生态敏感区影响与措施研究 [J]. 人民长江 , 1 - 7 [ 2025-01-09 ].
Zhang S , Wu L , Huang W , et al . Influence of natural gas pipeline crossing ecologically sensitive areas of Changjiang River and response measures [J]. Yangtze River , 1 - 7 [ 2025-01-09 ].
孙志忠 , 张满银 , 谢荣 , 等 . 长输管道河沟道水毁危害探析 [J]. 防灾科技学院学报 , 2015 , 17 ( 03 ): 56 - 61 .
Sun Z Z , Zhang M Y , Xie R , et al . Research on Waterlogging Hazards of Long¯distance Pipeline [J]. Journal of Institute of Disaster Prevention , 2015 , 17 ( 03 ): 56 - 61 .
徐建 , 马廷霞 , 潘玉林 , 等 . 横向滑坡作用下管道裂纹力学影响因素分析 [J]. 防灾减灾工程学报 , 2023 , 43 ( 02 ): 270 - 276+285 .
Xu J , Ma T Z , Pna Y L , et al . Analysis on Influencing Factors of Pipeline Crack Mechanics under Lateral Landslide [J]. Journal of Disaster Prevention and Mitigation Engineering , 2023 , 43 ( 02 ): 270 - 276+285 .
孙逸林 , 郑小强 , 刘险峰 , 等 . 重大城市燃气管道泄漏爆炸事故定量分析方法研究——以湖北十堰“6·13”事故为例 [J]. 安全与环境学报 , 2022 , 22 ( 06 ): 3312 - 3320 .
Sun Y L , Zheng X Q , Liu J F , et al . Research of quantitative analysis approach for serious leakage and explosion accident of urban gas pipeline—a case study of"6·13"accident [J]. Journal of Safety and Environment , 2022 , 22 ( 06 ): 3312 - 3320 .
Yan Y , Shuyue M , Shuyao Y , et al . Detection and Numerical Simulation of Potential Hazard in Oil Pipeline Areas Based on UAV Surveys [J]. Frontiers in Earth Science , 2021 , 9 .
钱雨扬 , 孔令利 , 余洲 , 等 . 基于InSAR-光学影像的白鹤滩库区地质灾害隐患识别 [J]. 人民长江 , 2024 , 55 ( S2 ): 107 - 112+120 .
Qian Y Y , Kong L L , Yu Z , et al . Identification of Geological Hazards in the Baihetan Reservoir Area Based on InSAR Optical Imaging [J]. Yangtze River , 2024 , 55 ( S2 ): 107 - 112+120 .
彭建兵 , 李永军 , 王祚鹏 , 等 . 黄河河道的主控因素及其衍生地质问题 [J/OL]. 人民黄河 , 1 - 7 [ 2025-01-09 ].
Peng J B , Li Y J , Wang Z P , et al . Main Controlling Factors of the Yellow River Channel and Its Derived Geological Issues [J/OL]. Yellow River , 1 - 7 [ 2025-01-09 ].
冼国栋 , 吴森 , 潘国耀 , 等 . 油气管道滑坡灾害危险性评价指标体系 [J]. 油气储运 , 2018 , 37 ( 08 ): 865 - 872 .
Xian G D , Wu S , Pan G Y , et al . Risk assessment index system for landslide disasters in oil and gas pipelines [J]. Oil & Gas Storage and Transportation , 2018 , 37 ( 08 ): 865 - 872 .
张艳梅 , 王萍 , 罗想 , 等 . 利用Sentinel-1数据和SBAS-InSAR技术监测西安地表沉降 [J]. 测绘通报 , 2017 ( 4 ): 93 - 97 .
Zhang Y M , Wang P , Luo X , et al . Monitoring Xi'an Land Subsidence Using Sentinel-1 Images and SBAS-InSAR Technology [J]. Bulletin of Surveying and Mapping , 2017 ( 4 ): 93 - 97 .
董秀军 , 许强 , 佘金星 , 等 . 九寨沟核心景区多源遥感数据地质灾害解译初探 [J]. 武汉大学学报(信息科学版) , 2020 , 45 ( 03 ): 432 - 441 .
Dong X J , Xu Q , She J X , et al . Preliminary study on interpretation of geological disasters from multi-source remote sensing data in Jiuzhaigou Valley Scenic and Historic Interest Area core scenic spot [J]. Geomatics and Information Science of Wuhan University , 2020 , 45 ( 03 ): 432 - 441 .
0
浏览量
0
下载量
0
CSCD
关联资源
相关文章
相关作者
相关机构
苏公网安备32010202012147号
