Monitoring and analysis of surface deformation in alpine valley areas based on multidimensional InSAR technology

被引:6
|
作者
Yang, Fan [1 ,2 ]
An, Yan [2 ]
Ren, Chuang [2 ]
Xu, Jia [2 ]
Li, Jinbo [3 ]
Li, Dongliang [4 ]
Peng, Zhiwei [4 ]
机构
[1] Liaoning Tech Univ, Inst Sci & Technol, Fuxin 123000, Peoples R China
[2] Liaoning Tech Univ, Sch Geomatics, Fuxin 123000, Peoples R China
[3] Shanxi Changping Coal Ind Co LTD, Jincheng 046700, Peoples R China
[4] Zhaozhuang Coal Ind Co LTD, Jinneng Holding Equipment Mfg Grp, Changzhi 046600, Peoples R China
关键词
SUBSIDENCE; STABILITY; LANDSLIDE; ALGORITHM; MSBAS; SBAS;
D O I
10.1038/s41598-023-39677-3
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
引用
收藏
页数:14
相关论文
共 50 条
  • [41] Application of InSAR technology in monitoring of ground deformation in Yaoqiao mining area
    Tang, Qian
    Chen, Fu
    Wei, Na
    INTERNATIONAL SYMPOSIUM ON LIDAR AND RADAR MAPPING 2011: TECHNOLOGIES AND APPLICATIONS, 2011, 8286
  • [42] Detection and analysis of potential landslides based on SBAS-InSAR technology in alpine canyon region
    Li, Yimin
    Feng, Xianjie
    Li, Yuanting
    Jiang, Wenxue
    Yu, Wenxuan
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2024, 31 (04) : 6492 - 6510
  • [43] Monitoring and Analysis of Ground Surface Settlement in Mining Clusters by SBAS-InSAR Technology
    Wang, Huini
    Li, Kanglun
    Zhang, Jun
    Hong, Liang
    Chi, Hong
    SENSORS, 2022, 22 (10)
  • [44] MONITORING OF SURFACE SUBSIDENCE IN MINING AREA BASED ON IMPROVED SBAS-INSAR TECHNOLOGY
    He, Kuan
    Xu, Lin
    Zou, Youfeng
    Liu, Yuntong
    FRESENIUS ENVIRONMENTAL BULLETIN, 2022, 31 (06): : 5372 - 5379
  • [45] InSAR Time Series Analysis Technique Combined with Sequential Adjustment Method for Monitoring of Surface Deformation
    Wang H.
    Zeng Q.
    Jiao J.
    Chen J.
    Beijing Daxue Xuebao (Ziran Kexue Ban)/Acta Scientiarum Naturalium Universitatis Pekinensis, 2021, 57 (02): : 241 - 249
  • [46] Time-Series InSAR Technology for Monitoring and Analyzing Surface Deformations in Mining Areas Affected by Fault Disturbances
    He, Kuan
    Zou, Youfeng
    Han, Zhigang
    Huang, Jilei
    Remote Sensing, 2024, 16 (24)
  • [47] Deformation monitoring and prediction for residential areas in the Panji mining area based on an InSAR time series analysis and the GM-SVR model
    Li, Jinchao
    Gao, Fei
    Lu, Jiaguo
    Tao, Tingye
    OPEN GEOSCIENCES, 2019, 11 (01): : 738 - 749
  • [48] Reservoir Dam Surface Deformation Monitoring by Differential GB-InSAR Based on Image Subsets
    Wang, Peng
    Xing, Cheng
    Pan, Xiandong
    SENSORS, 2020, 20 (02)
  • [49] Coherence-guided InSAR deformation analysis in the presence of ongoing land surface changes in the Imperial Valley, California
    Jiang, Junle
    Lohman, Rowena B.
    REMOTE SENSING OF ENVIRONMENT, 2021, 253
  • [50] Monitoring and analysis of land subsidence in Beijing based on SBAS-InSAR Technology
    Sun, Guangtong
    Liu, Xiaoyang
    Song, Ping
    Jia, Hongda
    2022 3rd International Conference on Geology, Mapping and Remote Sensing, ICGMRS 2022, 2022, : 458 - 461