Yang Fan, An Yan, Ren Chuang, Xu Jia, Li Jinbo, Li Dongliang, Peng Zhiwei
Institute of Science and Technology, Liaoning Technical University, Fuxin, 123000, China.
School of Geomatics, Liaoning Technical University, Fuxin, 123000, China.
Sci Rep. 2023 Aug 9;13(1):12896. doi: 10.1038/s41598-023-39677-3.
Joshimath has received much attention for its massive ground subsidence at the beginning of the year. Rapid urbanization and its unique geographical location may have been one of the factors contributing to the occurrence of this geological disaster. In high mountain valley areas, the complex occurrence mechanism and diverse disaster patterns of geological hazards highlight the inadequacy of manual monitoring. To address this problem, the inversion of deformation of the Joshimath surface in multiple directions can be achieved by multidimensional InSAR techniques. Therefore, in this paper, the multidimensional SBAS-InSAR technique was used to process the lift-track Sentinel-1 data from 2020 to 2023 to obtain the two-dimensional vertical and horizontal deformation rates and time series characteristics of the Joshimath ground surface. To discover the causes of deformation and its correlation with anthropogenic activities and natural disasters by analyzing the spatial and temporal evolution of surface deformation. The results show that the area with the largest cumulative deformation is located in the northeastern part of the town, with a maximum cumulative subsidence of 271.2 mm and a cumulative horizontal movement of 336.5 mm. The spatial distribution of surface deformation is based on the lower part of the hill and develops towards the upper part of the hill, showing a trend of expansion from the bottom to the top. The temporal evolution is divided into two phases: gentle to rapid, and it is tentatively concluded that the decisive factor that caused the significant change in the rate of surface deformation and the early onset of the geological subsidence hazard was triggered by the 4.7 magnitude earthquake that struck near the town on 11 September 2021.
年初,乔希马图因大规模地面沉降而备受关注。快速的城市化进程及其独特的地理位置可能是导致这场地质灾害发生的因素之一。在高山峡谷地区,地质灾害复杂的发生机制和多样的灾害模式凸显了人工监测的不足。为解决这一问题,利用多维度合成孔径雷达干涉测量(InSAR)技术可实现对乔希马图地表多方向变形的反演。因此,本文采用多维度小基线集合成孔径雷达干涉测量(SBAS-InSAR)技术处理2020年至2023年的升轨哨兵-1数据,以获取乔希马图地表的二维垂直和水平形变速率及时间序列特征。通过分析地表变形的时空演化,探究变形原因及其与人类活动和自然灾害的相关性。结果表明,累积变形最大的区域位于该镇东北部,最大累积沉降量为271.2毫米,累积水平位移为336.5毫米。地表变形的空间分布以山脚下部为基础,向山的上部发展,呈现出从下往上扩展的趋势。时间演化分为平缓到快速两个阶段,初步推断导致地表形变速率显著变化及地质沉降灾害提前发生的决定性因素是2021年9月11日该镇附近发生的4.7级地震。