摘要
中国黄土高原滑坡灾害频发,严重威胁经济的发展及生命财产安全。利用时序合成孔径雷达干涉测量(InSAR)技术识别潜在的活动滑坡,并对其进行形变监测,有利于预防和减轻灾害造成的危害。InSAR技术具有大范围观测地表变形的能力,这里以西宁市为研究区,采用83景升轨和87景降轨Sentinel-1A雷达影像,利用小基线集(SBAS)时间序列InSAR技术,获取了研究区2019年1月至2021年11月地表形变速率以及时序形变量,共探测到74处显著形变区;结合地貌和光学影像特征,确定其中35处为活动黄土滑坡。通过对活动滑坡的时间序列形变分析,内在(工程岩组、断层)和外在(降雨)条件的共同作用,是激活不稳定边坡或加速边坡运动的主要因素。
Landslides occur frequently in the Loess Plateau of China,seriously threatening the development of the economy and the safety of life and property.Using time-series InSAR to identify potential active landslides and monitor their deformation can help prevent and reduce the hazards caused by disasters.InSAR can observe surface deformation on a large scale.In this paper,we focus on Xining City as the research area.We adopted Sentinel-1A radar images with 83 view ascending orbit and 87 view descending orbit.We used the small baseline set(SBAS)time-series InSAR technique to obtain the surface deformation rate and temporal shape variables from January 2019 to November 2021 in the study area,and we detected 74 significant deformation areas.Based on geomorphology features and optical images,we identified 35 as active loess landslides.According to the time-series deformation analysis of active landslides,the interaction of internal conditions(engineering rock group,fault)and external conditions(rainfall)is the main factor that activates the unstable slope or accelerates the slope movement.
作者
何丽
吴先谭
陈欣
罗芳
何政伟
薛东剑
白文倩
康桂川
张雨祥
HE Li;WU Xiantan;CHEN Xin;LUO Fang;HE Zhengwei;XUE Dongjian;BAI Wenqian;KANG Guichuan;ZHANG Yuxiang(Key Laboratory of the Northern Qinghai-Tibet Plateau Geological Processes and Mineral Resources,Xining 810000,China;Chengdu University of Technology College of Tourism and Urban-Rural Planning,Chengdu 610059,China;Chengdu University of TechnologyCollege of Earth Sciences,Chengdu 610059,China)
出处
《物探化探计算技术》
CAS
2023年第6期812-823,共12页
Computing Techniques For Geophysical and Geochemical Exploration
基金
青海省青藏高原北部地质过程与矿产资源重点实验室资助项目(2019-KZ-02)。
关键词
黄土滑坡
滑坡识别
形变监测
时间序列InSAR
西宁市
loess landslide
landslide identification
deformation monitoring
time series InSAR
Xining city
