The identification of active landslides and analysis of deformation influencing factors in the Baihetan Reservoir area
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摘要: 【目的】水库滑坡是水电工程建设中的一种常见的地质灾害,当滑坡滑入库区中可能会引起涌浪、江河堵塞甚至溃坝,从而造成巨大的经济损失和人员伤亡,因此,研究水库滑坡形变特征对如何高效及时地开展对水库滑坡早期识别与监测具有重要意义。【方法】本文以白鹤滩库区为研究区域,基于哨兵一号(Sentinel-1)雷达影像,采用干涉堆叠法(Stacking interferometry synthetic aperture radar,Stacking-InSAR)、小基线集干涉测量(Small baseline subset interferometry synthetic aperture radar,SBAS-InSAR)方法开展了广域的活动滑坡灾害识别并获取白鹤滩库区滑坡蓄水前后的形变信息,结合哨兵二号(Sentinel-2)影像利用自动水体提取指数(Automated Water Extraction Index,AWEI)提取库区水位数据,选取了形变较大的上升型、下降型、蓄水前形变型滑坡各一个作为典型滑坡,探讨水库水位波动和降雨与滑坡变形的关系。【结果及结论】研究认为:结合Sentinel-2影像利用AWEI提取库区水位数据的方法在本研究区应用效果较好,提取水位与实测水位平均误差为0.89 m,该方法对无水位数据的区域具有研究价值。白鹤滩库区在观测期内升轨、降轨影像共探测出活动滑坡共103处,其中前缘涉水活动滑坡37处,由水位波动引起形变的滑坡有23处。库岸滑坡变形与水位波动有较强相关性,与降雨量相关性较弱,且水位下降对库岸滑坡形变的影响较大。Abstract: Reservoir landslides are a common geological hazard in hydropower engineering construction. When landslides slide into the reservoir area, they may cause surges, river blockages, and even dam breaches, resulting in significant economic losses and casualties. Therefore, studying the deformation characteristics of reservoir landslides is crucial for efficient and timely identification and monitoring of early-stage landslides along the reservoir area. [Methods]In this paper, the Baihetan Reservoir area is taken as the study area. Based on Sentinel-1 radar images, broad-scale active landslide disaster identification and deformation information before and after the reservoir filling of landslides in the Baihetan Reservoir area are obtained using Stacking Interferometry Synthetic Aperture Radar (Stacking-InSAR) and Small Baseline Subset Interferometry Synthetic Aperture Radar (SBAS-InSAR) methods. Combined with Sentinel-2 images, Automated Water Extraction Index (AWEI) is used to extract reservoir water level data. One typical landslide with significant deformation of each type—ascending, descending, and pre-filling deformation—was selected to investigate the relationship between reservoir water level fluctuations, rainfall, and landslide deformation. [Results and Conclusion] The study concludes that: The method of extracting reservoir water level data using AWEI with Sentinel-2 imagery has shown good results in this study area. The average error between the extracted water level and the measured water level at the same time is 0.89 meters. This method has research value for areas lacking water level data.During the observation period, a total of 103 active landslides were detected in the Baihetan Reservoir area using both ascending and descending orbit images. Among these, 37 active landslides involved the front edge entering the water, and 23 landslides were deformed due to water level fluctuations. There is a strong correlation between reservoir bank landslide deformation and water level fluctuations, while the correlation with rainfall is weaker, and the decrease in water level has a greater impact on reservoir bank landslide deformation.
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