山区铁路工程建设后滑坡识别与危险性研究  

Study on Landslide Identification and Hazard after Construction of Railway Project in Mountainous Areas

作　　者：张彧[1] 李磊 侯云龙 韩兵兵 安宁 张慧[1] 马瑛[1] ZHANG Yu;LI Lei;HOU Yunlong;HAN Bingbing;AN Ning;ZHANG Hui;MA Ying(Lanzhou Jiaotong University,Lanzhou,Gansu 730070,China;Railway Industry Key Laboratory of Intelligent Control of Plateau Railway Transportation,Lanzhou,Gansu 730070,China;Gansu Institute of Engineering Geology,Lanzhou,Gansu 730030,China)

机构地区：[1]兰州交通大学,兰州730070 [2]高原铁路运输智慧管控铁路行业重点实验室,兰州730070 [3]甘肃工程地质研究院,兰州730030

出　　处：《铁道工程学报》2024年第9期106-113,共8页Journal of Railway Engineering Society

基　　金：国家自然科学基金项目(42461020);2024年度甘肃省联合科研基金资助(M0602)。

摘　　要：研究目的:针对山区铁路沿线滑坡灾害隐患人工排查识别困难,提出一种基于遥感数据识别铁路滑坡,并且对铁路滑坡规模与危险性进行定量评估的方法。以兰渝铁路宕昌段为例,利用PS-InSAR(Permanent Scatterers-Interferometric Synthetic Aperture Radar)技术和光学遥感影像对研究区域铁路滑坡进行识别,并基于ArcGIS和Massflow平台对滑坡体积、是否对铁路造成威胁进行分析,以制定铁路滑坡减灾策略,保障铁路建设后的正常运行。研究结论:(1)结合PS-InSAR技术与星图地球光学遥感影像识别出2处铁路潜在滑坡,通过分析滑坡累计变形量可知,潜在滑坡明显受降雨影响;(2)基于ArcGIS平台运用倾斜局部基准面法估算了潜在滑坡的滑动面,得到临江铺滑坡体厚度最大为9.9 m,体积为3.1×10^(4)m^(3);黄家滑坡体厚度最大为12.9 m,体积为8.5×10^(4)m^(3);(3)使用Massflow软件对两处滑坡运动过程进行了数值模拟,分析结果表明,一旦发生破坏,滑坡体会冲击铁路桥面,因此建议在雨季对临江铺和黄家潜在滑坡进行重点防治;(4)本文研究可应用于铁路安全监测和灾害预防,为山区铁路沿线区域的滑坡预警与防治提供科学依据。Research purposes:Aiming at the difficulty of manual investigation and identification of landslide hazards along mountainous railway lines,a method is proposed to identify railway landslides based on remote sensing data and to quantitatively assess the scale and danger of railway landslides.Taking the Tanchang section of Lanzhou-Chongqing Railway as an example,PS-InSAR(Permanent Scatterers-Interferometric Synthetic Aperture Radar)technology and optical remote sensing images are used to identify the railway landslides in the study area,and based on ArcGIS and Massflow platform,the volume of landslides,whether they pose a threat to the railway are analyzed,in order to develop railway landslide mitigation strategies and ensure the normal operation of the railway after construction.Research conclusions:(1)Combining PS-InSAR technology and star map geo-optical remote sensing images to identify 2 potential railway landslides,and by analyzing the accumulated deformation of landslides,it shows that the potential landslides are obviously affected by rainfall.(2)The sliding surface of potential landslides is estimated based on ArcGIS platform using the tilted local datum method,and the maximum thickness of Linjiangpu landslide body is obtained as 9.9 m,and the volume is 3.1×10^(4)m^(3)3;the maximum thickness of Huangjia landslide body is 12.9 m and the volume is 8.5×10^(4)m^(3).(3)The numerical simulation of the movement process of the two landslides is carried out using Massflow software,and the analysis results show that once damage occurs,the landslide body will impact the railway bridge deck,so it is recommended to focus on the prevention and control of potential landslides in Linjiangpu and Huangjia during the rainy season.(4)This study can be applied to railway safety monitoring and disaster prevention,and provide a scientific basis for landslide early warning and prevention in areas along mountainous railways.

关 键 词：兰渝铁路 滑坡 PS-INSAR Massflow 危险性分析 

分 类 号：P237[天文地球—摄影测量与遥感]