地理空间信息2025，Vol.23Issue(6)：13-17,5.DOI:10.3969/j.issn.1672-4623.2025.06.003
利用时序InSAR技术的大型水电站库岸滑坡监测与应用
Monitoring and Application of Large Hydropower Station Bank Landslide Based on Time-series InSAR Technology
摘要
Abstract
Large hydropower stations typically play crucial roles in electricity generation,improving waterways,and flood control.In the context of hydropower stations located in mountainous gorges with complex geographies,frequent geological disasters such as landslides pose significant threats to both the operation of these power stations and the safety and property of residents living along the reservoir banks.In order to investi-gate the number,distribution,and characteristics of landslides around a large hydropower station's headwater area,we utilized time-series InSAR technology to process 77 ascending Sentinel-1A single complex images from April 2021 to December 2023.The results reveal that the study area contains four serious deformation zones with a maximum strain rate of-65.66 mm/a and a maximum cumulative subsidence of 143.51 mm.The spatio-temporal subsidence characteristic of three upstream locations in combination with the water level in the reservoir area reveals that wa-ter-related landslides are mainly affected by the changes of water level in the reservoir area,with the deformation slowing down during the rising and stabilizing of water level and accelerating during the declining of water level,while the non-water-related landslides are less affected by the changes of water level.Combined with the field verification,we focused on analyzing the morphology,material composition and deformation characteristics of the disposal site,to further prove the technical advantages of time-series InSAR technology in deformation and landslide moni-toring,and provide an important decision-making basis for the early warning and prevention of landslide disasters.关键词
大型水电站/库岸滑坡/时序InSAR/形变监测Key words
large hydropower station/bank landslide/time-series InSAR/deformation monitoring分类
测绘与仪器引用本文复制引用
杨磊,闫斌,江利明,周志伟,罗惠恒,姜鹏,李林泽,范进勇,廖海生,安日辉,涂晶,陈舰..利用时序InSAR技术的大型水电站库岸滑坡监测与应用[J].地理空间信息,2025,23(6):13-17,5.基金项目
长江电力股份有限公司资助项目(Z532302026). （Z532302026）
