基于时序InSAR的水电站库岸滑坡形变监测分析

Deformation monitoring on reservoir bank landslide of a hydropower station based on InSAR time series

为加强对大华桥水电站库区内潜在滑坡的监测与评估,利用2018年1月至2019年7月之间共46景Sentinel-1数据和SBAS-InSAR技术获取了大华桥水电站库区内的时序InSAR形变结果。结果表明:大华桥水电站沿江库区的大华、拉古古滑坡形变速率分别为-100 mm/a和-110 mm/a,累积形变量分别为-14 cm和-12 cm,处于不稳定状态。在5~10月的汛期期间其形变速率陡然增加,受降雨影响明显。通过现场勘察,发现大华、拉古滑坡体有明显滑动迹象,表明InSAR结果可靠性较高。研究结果可为大华桥水电站库区滑坡治理提供科学依据。

In order to strengthen the monitoring and evaluation of potential landslides in the reservoir area of Dahuaqiao Hydropower Station,46 Sentinel-1 images acquired from January 2018 to July 2019 and SBAS InSAR technology are used to produce InSAR time series deformation results.The results show that the annual deformation rates of Dahua and Lagu Landslides along the river are up to-100 mm/a and-110 mm/a respectively,and the cumulative deformation variables are-14 cm and-12 cm respectively,which are in an unstable state.During the flood season from May to October,the deformation rate increases sharply and it is obviously affected by rainfall.The field investigation shows that there are obvious landslide signs in Dahua and Lagu Landslides,which indicates that the InSAR results are highly reliable.The results can provide a scientific basis for the landslide treatment in Dahuaqiao Hydropower Station reservoir area.