【摘要】 随着龙羊峡水电站建成并运行，水位波动对库岸边坡造成的渗透和侵蚀作用导致库区两岸坍塌，影响了滑坡体的稳定性。利用SBAS-InSAR(small baseline subset interferometic synthetic aperture radar)技术，采用升降轨Sentinel-1A数据对龙羊峡库区进行滑坡识别和监测，并研究水位波动对滑坡形变的影响。结果表明：(1)通过InSAR技术对龙羊峡库区进行形变监测，共识别出15处不稳定边坡，其中有6处为已知的滑坡体，形变速率为-80～30 mm/年。(2)通过ICESat-2卫星的ATL13水体数据对龙羊峡库区进行水位提取。(3)以曼格拉河口滑坡和龙西滑坡为例，利用斯皮尔曼相关系数定量计算滑坡形变与库区水位间的相关系数，结果表明两滑坡的相关系数均值均大于0.6,并且在水位下降时相关系数最大，最大值为1.0。在曼格拉河口滑坡中，滑坡形变滞后于库区水位2个月时相关系数最大为0.844;龙西滑坡中，滑坡形变滞后于库区水位4个月时相关系数最大为0.841。(4)利用奇异谱分析将典型滑坡形变时间序列分解的周期项形变与库区水位进行小波分析，发现二者相关性显著，且曼格拉河口滑坡和龙西滑坡的滑坡形变与库区水位分别存在2个月和4个月左右的滞后期。研究揭示了龙羊峡水库水位波动(特别是水位下降)是影响库岸滑坡稳定性的关键驱动因素，明确了形变响应的滞后特征，为库区滑坡风险预警与防控提供了重要的科学依据。更多还原

【Abstract】 With the completion and operation of the Longyangxia Hydropower Station, the infiltration and erosion caused by water level fluctuations on the reservoir bank slope led to the collapse of both banks of the reservoir area, which affected the stability of the landslide. SBAS-InSAR(small baseline subset interferometic synthetic aperture radar) technology was used to identify and monitor the landslide in the Longyangxia Reservoir Area by using the Sentinel-1A data of ascending and lowering rails, and the influence of water level fluctuation on landslide deformation was studied. The results show these as follows. A total of 15 unstable slopes were identified by InSAR technology for deformation monitoring in the Longyangxia Reservoir Area, of which 6 were known landslides with a deformation rate of-80～30 mm/year. The ATL13 water data of ICESat-2 satellite was used to extract the water level of Longyangxia reservoir area. Taking the Mangla estuary landslide and Longxi landslide as examples, the correlation coefficient between the deformation of the landslide and the water level in the reservoir area was quantitatively calculated by using the Spearman correlation coefficient, and the results show that the average correlation coefficient of the two landslides is greater than 0.6, and the correlation coefficient is the largest when the water level drops, and the maximum value is 1.0. In the Mangla estuary landslide, the maximum correlation coefficient is 0.844 when the landslide deformation lags behind the water level in the reservoir area for 2 months, and the maximum correlation coefficient is 0.841 when the landslide deformation lags behind the water level in the reservoir area for 4 months in the Longxi landslide. Wavelet analysis was carried out to analyze the periodic deformation of typical landslide deformation time series and the water level in the reservoir area by singular spectrum analysis, and it was found that the correlation between the two was significant, and there was a lag period of about 2 months and 4 months between the landslide deformation and the water level in the reservoir area of the Mangla Estuary landslide and Longxi Landslide, respectively. The result revealed that fluctuations in the water level of the Longyangxia Reservoir(especially water level drops)are key factors affecting the stability of reservoir bank landslides, clarifying the delayed characteristics of deformation response and providing important scientific evidence for landslide risk warning and prevention in the reservoir area.更多还原