SBAS-InSAR技术下的白鹤滩库区典型隧道边坡形变监测研究  

Study on Deformation Monitoring of Typical Tunnel Slope in Baihetan Reservoir Area Under SBAS-InSAR Technology

作　　者：郭峻杞 喜文飞 史正涛[1] 杨志全 杨正荣[1] GUO Junqi;XI Wenfei;SHI Zhengtao;YANG Zhiquan;YANG Zhengrong(Faculty of Geography,Yunnan Normal University,Kunming 650500,China;Key Laboratory of Early Rapid Identification,Prevention and Control of Geological Diseases in Traffic Corridor of High Intensity Earthquake Mountainous Area of Yunnan Province,Kunming 650093,China;Faculty of Public Safety and Emergency Management,Kunming University of Science and Technology,Kunming 650093,China;Key Laboratory of Geological Disaster Risk Prevention and Control and Emergency Disaster Reduction of Ministry of Emergency Management of the People’s Republic of China,Kunming University of Science and Technology,Kunming 650093,China)

机构地区：[1]云南师范大学地理学部,云南昆明650500 [2]云南省高校高烈度地震山区交通走廊工程地质病害早期快速判识与防控重点实验室,云南昆明650093 [3]昆明理工大学公共安全与应急管理学院,云南昆明650093 [4]昆明理工大学应急管理部地质灾害风险防控与应急减灾重点实验室,云南昆明650093

出　　处：《贵州大学学报（自然科学版）》2023年第4期48-55,共8页Journal of Guizhou University:Natural Sciences

基　　金：国家自然科学基金资助项目(41861134008);云南省重点研发计划项目(202003AC100002);云南省科技厅面上项目(202001AT070059);云南省阿瑟夫·汉院士工作站资助项目(202105AF150076)。

摘　　要：水库库区大型隧道开挖会对山体产生一定的扰动,引起山体形变,造成滑坡等地质灾害,其形成的库区涌浪可扩散至上下游数公里,严重影响大坝安全。针对单一轨道合成孔径雷达(synthetic aperture radar,SAR)数据在深切峡谷地区形变监测中因几何畸变导致识别不准确的问题,采用小基线集差分干涉测量技术(small baseline subsets interferometric synthetic aperture radar,SBAS-InSAR)、联合70景升轨和68景降轨Sentinel-1A SAR影像进行数据处理,获得研究区2020年2月至2022年5月的地表雷达视线向(line of sight,LOS)形变速率,选取白鹤滩库区典型隧道边坡进行形变特征分析。结果显示:1)白鹤滩水电站库区出现异常形变,蓄水前后隧道边坡的年平均形变量在20 mm以上,边坡稳定性遭到一定程度破坏;2)隧道边坡下缘与隧道上方位置形变趋势基本一致。采用SBAS-InSAR技术及升降轨SAR影像联合互补的方法,可以有效克服单一轨道数据在深切峡谷地区形变监测中因阴影、叠掩、透视收缩等几何畸变导致的识别不准确问题,其结果可用于白鹤滩库区隧道边坡滑坡灾害的早期识别,为区域性地质灾害防治管理提供科学依据。Large-scale tunnel excavation in the reservoir area will cause certain disturbance to the mountain,leading to deformation of the mountain and geological disasters such as landslides.The surge wave formed in the reservoir area can spread to several kilometers downstream,seriously affecting the safety of the dam.Aiming at the problem of inaccurate identification of single-orbit synthetic aperture radar(SAR)data in deformation monitoring in deep canyon region due to geometric distortion,in this paper,small baseline subsets interferometric synthetic aperture radar(SBAS-InSAR)is used for data processing combined with Sentinel-1A SAR images of 70 ascending orbiters and 68 descending orbiters.The surface radar line of sight(LOS)deformation rate from February 2020 to May 2022 was obtained,and the typical tunnel slope in Baihetan Reservoir area was selected to analyze the deformation characteristics.The results show that:1)Abnormal deformation occurs in the reservoir area of Baihetan Hydropower Station.The annual mean shape variable of the tunnel slope before and after impoundment is over 20mm,and the slope stability is damaged to a certain extent.2)The deformation trend of the lower edge of the tunnel slope and the position above the tunnel is basically consistent.The combined complementary method of SBAS-InSAR technology and SAR images of lifting rail can effectively overcome the problem of inaccurate identification of single-track data in deformation monitoring of deep canyon area due to geometric distortion such as shadow,overlay and perspective contraction.The results can be used for early identification of slope landslide disaster in Baihetan Reservoir area and provide scientific basis for regional geological disaster prevention and management.

关 键 词：形变监测 SBAS-InSAR技术 隧道边坡 滑坡灾害 

分 类 号：P237[天文地球—摄影测量与遥感] P642[天文地球—测绘科学与技术]