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Impact of Water Level Fluctuations on Landslide Deformation at Longyangxia Reservoir, Qinghai Province, China

山崩 水位 地质学 水文地质学 干涉合成孔径雷达 水文学(农业) 渗透(HVAC) 变形(气象学) 环境科学 岩土工程 遥感 气象学 合成孔径雷达 地理 海洋学 地图学
作者
Shufen Zhao,Runqiang Zeng,Hongxue Zhang,Xingmin Meng,Zhang Zong-lin,Xiangpei Meng,Wang Hong,Yi Zhang,Jun Liu
出处
期刊:Remote Sensing [Multidisciplinary Digital Publishing Institute]
卷期号:14 (1): 212-212 被引量:22
标识
DOI:10.3390/rs14010212
摘要

The construction of Longyangxia Reservoir has altered the hydrogeological conditions of its banks. Infiltration and erosion caused by the periodic rise and fall of the water level leads to collapse of the reservoir banks and local deformation of the landslide. Due to heterogeneous topographic characteristics across the region, water level also varies between different location. Previous research on the influence of fluctuations in reservoir water level on landslide deformation has focused on single-point monitoring of specific slopes, and single-point water level monitoring data have often been used instead of water level data for the entire reservoir region. In addition, integrated remote sensing methods have seldom been used for regional analysis. In this study, the freely-available Landsat8 OLI and Sentinel-2 data were used to extract the water level of Longyangxia Reservoir using the NDWI method, and Sentinel-1A data were used to obtain landslide deformation time series using SBAS-InSAR technology. Taking the Chana, Chaxi, and Mangla River Estuary landslides (each having different reservoir water level depths) as typical examples, the influence of changes in reservoir water level on the deformation of three wading landslides was analyzed. Our main conclusions are as follows: First, the change in water level is the primary external factor controlling the deformation velocity and trend of landslides in the Longyangxia Reservoir, with falling water levels having the greatest influence. Second, the displacement of the Longyangxia Reservoir landslides lags water level changes by 0 to 62 days. Finally, this study provides a new method applicable other areas without water level monitoring data.
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