【摘要】 采用升降轨时序干涉合成孔径雷达（InSAR）技术对金沙江某水电站库区边坡的滑坡形变进行识别和监测。研究结果与研究区历史滑坡地质调查划定的滑坡体范围和全球定位系统（GPS）监测成果相符，说明InSAR技术在山区水库边坡形变的监测中具有可靠性和实用性。其中新建滑坡体形变速率较大，最大年平均视线向形变速率可达198.90 mm/a。结合同时期GPS数据验证InSAR监测新建滑坡结果精度，得出两者沿视线向累积形变量差值的均方根误差为39.10 mm，最大差值位于XJ17点为56.65 mm。滑坡形变与日降水量及水库水位变化的相关性分析表明，新建滑坡体的形变呈周期性阶跃变化，在出现强降雨或水库水位的骤变后滑坡形变表现出滞后效应。该研究可为山区水库边坡形变监测工作及滑坡灾害预警提供新的高效的方法。更多还原

【Abstract】 Ascending and descending time series interferometric synthetic aperture radar(InSAR) technology has been used to identify and monitor landslide and deformation of reservoir slopes of a hydropower station on the Jinsha River. It has been found that the landslide areas and deformation trends identified by the approach agree with those of past geological investigation and global position system(GPS) monitoring, which shows that InSAR technology is reliable and useful for landslide monitoring of reservoir slope in mountainous region. Results show that the deformation rate of Xinjian landslide is relatively larger than that of others, with the maximum rate reaching 198. 90 mm/a. In the same monitoring period, the root mean square error of the cumulative deformation difference between InSAR and GPS in the line of sight is 39. 10 mm,and the maximum difference is 56. 65 mm at the XJ17 point. The analysis of the correlation among landslide deformation,daily precipitation and reservoir water level changes shows that the deformation of the Xinjian landslide changes in a periodic step style, which has a lag after heavy rainfall or sudden changes in the reservoir water level. The research can provide a new effective method for landslide monitoring and hazard identification of reservoir slopes in mountainou areas.更多还原