基于SBAS-InSAR技术的高山峡谷区滑坡隐患早期识别  

Early identification of potential landslides in alpine and canyon area based on SBAS-InSAR technology

作　　者：陈宏 江峻毅 纪成亮[2] 张伟[2] 杨庆义[2] 孙旭[2] 席文勇 张勇[2] 刘玉洁 李德营[3] CHEN Hong;JIANG Junyi;JI Chengliang;ZHANG Wei;YANG Qingyi;SUN Xu;XI Wenyong;ZHANG Yong;LIU Yujie;LI Deying(Department of Safety and Environment Protection,State Power Investment Corporation,Beijing 100029,China;Survey Division,Shandong Electric Power Engineering Consulting Institute Co.,Ltd.,Jinan 250100,China;Faculty of Engineering,China University of Geosciences(Wuhan),Wuhan 430074,China)

机构地区：[1]国家电力投资集团有限公司安环部,北京100029 [2]山东电力工程咨询院有限公司勘测事业部,山东济南250100 [3]中国地质大学(武汉)工程学院,湖北武汉430074

出　　处：《安全与环境工程》2024年第3期206-216,共11页Safety and Environmental Engineering

基　　金：国家自然科学基金项目(41772310)。

摘　　要：近年来,高山峡谷区滑坡灾害频发,给人民生命和财产安全带来了严重威胁。滑坡隐患早期识别是高山峡谷区滑坡研究的重点和难点问题之一。以牛栏江中下游河段的象鼻岭水库区域为研究区,基于SBAS-InSAR技术,在分析地形可视性的基础上,通过Sentinel-1A升、降轨数据结合互补的方式,对该区域的滑坡隐患进行早期识别研究。结果表明:升、降轨数据结合有效减小了阴影叠掩区的干扰,能够较全面地识别出高山峡谷区的滑坡隐患点;研究区内雷达视线方向的年平均形变速率为-186~166 mm/a,基于形变结果识别出47个滑坡隐患点;高程在1400~<1600 m、坡度在30°~<40°、坡向在东北和正南方向为滑坡发育的有利地形,大部分滑坡分布在石炭系下统岩关组地层中。研究成果证明了基于SBAS-InSAR技术采用升、降轨数据结合互补方式在高山峡谷区滑坡隐患早期识别中的优势及有效性,具有推广应用的潜力。In recent years,landslides occur frequently in alpine and canyon area,posing a serious threat to people's life and property safety.Early identification of landslide hazard is one of the key and difficult problems in landslide research in alpine and canyon area.Taking Xiangbiling reservoir area in the middle and lower reaches of Niulan River as the research area,based on the SBAS-InSAR technology,on the basis of the terrain visibility analysis,Sentinel-1A data analysis results of lifting and descending rails combined with the complementary method,the early identification of potential landslide hazards was conducted.The results show that the combination of the ascending and descending orbit data can effectively reduce the interference of shadow overlay area,and can identify the hidden landslide points in the alpine and canyon area more comprehensively.The average annual deformation rate of radar line of sight direction in the study area is-186~166 mm/a,and 47 hidden landslide points are identified based on the deformation results.It is found that the elevation of 1400~<1600 m,slope of 30°~<40°and slope direction in the northeast and due south are favorable landforms for landslide development.Most landslides are distributed in the Lower Carboniferous Yanguan Formation.The research results prove the advantages and effectiveness of the combination of ascending and descending orbit data and complementary method based on SBAS-InSAR techno-logy in the early identification of landslide hazards in alpine and canyon area,and have the potential to be popularized and applied.

关 键 词：滑坡隐患早期识别 高山峡谷区 SARS-InSAR技术 地形可视性 

分 类 号：X43[环境科学与工程—灾害防治] P642.22[天文地球—工程地质学]