Elucidating the complex interplay between natural and anthropogenic factors in the deformation of the Muyubao landslide through time-series InSAR analysis

被引:3
|
作者
Yang, Rui [1 ]
Liang, Wenli [2 ]
Yu, Chunyong [3 ]
Kou, Pinglang [4 ,5 ]
机构
[1] Civil Aviat Flight Univ China, Guanghan, Sichuan, Peoples R China
[2] Chongqing Normal Univ, Sch Geog & Tourism, Chongqing Key Lab GIS Applicat, Chongqing, Peoples R China
[3] CNPC Bohai Drilling Engn Co Ltd, Mud Logging Co, Tianjin, Peoples R China
[4] Chongqing Univ Posts & Telecommun, Chongqing Engn Res Ctr Spatial Big Data Intelligen, Chongqing, Peoples R China
[5] Chongqing Univ Posts & Telecommun, Key Lab Tourism Multisource Data Percept & Decis, Minist Culture & Tourism, TMDPD, Chongqing, Peoples R China
关键词
time-series InSAR; Muyuba landslide; deformation monitoring; multisource statistical analysis; Zigui county; 3; GORGES; RESERVOIR WATER; RAINFALL; MECHANISM; EARTHQUAKE; MOVEMENT; REGION;
D O I
10.3389/feart.2024.1337209
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
In the Three Gorges Reservoir area, landslide disasters occur frequently, making scientific monitoring and risk prediction crucial for disaster prevention and mitigation. However, most previous studies have been constrained by analysis of singular influencing factors. In this study, we employed multi-temporal InSAR techniques coupled with multivariate geospatial statistical analysis to monitor and analyze the dynamic evolution of the Muyuba landslide in Zigui County, Hubei Province, China from 2016 to 2023. The findings indicate that the Muyuba landslide was predominantly characterized by continuous, gradual subsidence. Key factors inducing deformation included well-developed drainage networks, gentle slopes of 15-30 degrees, and the orientation of rock strata. Deformation rates in residential areas and along roadways exceeded background levels, implicating anthropogenic activities in the heightened landslide risk. A significant correlation was observed between landslide deformation and reservoir water level fluctuations, as opposed to rainfall patterns, highlighting reservoir regulation disturbances as a critical landslide triggering factor.
引用
收藏
页数:16
相关论文
共 50 条
  • [31] Monitoring the risk of a tailings dam collapse through spectral analysis of satellite InSAR time-series data
    Das, Sourav
    Priyadarshana, Anuradha
    Grebby, Stephen
    STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2024, 38 (08) : 2911 - 2926
  • [32] Multidimensional time-series analysis of ground deformation from multiple InSAR data sets applied to Virunga Volcanic Province
    Samsonov, Sergey
    d'Oreye, Nicolas
    GEOPHYSICAL JOURNAL INTERNATIONAL, 2012, 191 (03) : 1095 - 1108
  • [33] Deformation Detection and Attribution Analysis of Urban Areas near Dianchi Lake in Kunming Using the Time-Series InSAR Technique
    Wang, Junyu
    Li, Menghua
    Yang, Mengshi
    Tang, Bo-Hui
    APPLIED SCIENCES-BASEL, 2022, 12 (19):
  • [34] Plate boundary deformation in North Iceland during 1992-2009 revealed by InSAR time-series analysis and GPS
    Metzger, Sabrina
    Jonsson, Sigurjon
    TECTONOPHYSICS, 2014, 634 : 127 - 138
  • [35] Influence of geological factors on surface deformation due to hydrocarbon exploitation using time-series InSAR: A case study of Karamay Oilfield, China
    Xu, Lei
    Yang, Yongpeng
    Ju, Xing
    Yang, Jinzhong
    FRONTIERS IN EARTH SCIENCE, 2023, 10
  • [36] Monitoring Regional-Scale Surface Deformation of the Continuous Permafrost in the Qinghai-Tibet Plateau with Time-Series InSAR Analysis
    Xu, Zhida
    Jiang, Liming
    Niu, Fujun
    Guo, Rui
    Huang, Ronggang
    Zhou, Zhiwei
    Jiao, Zhiping
    REMOTE SENSING, 2022, 14 (13)
  • [37] Landslide identification and deformation monitoring analysis in Xining City based on the time series InSAR of Sentinel-1 a with ascending and descending orbits
    He, Li
    Wu, Xiantan
    He, Zhengwei
    Xue, Dongjian
    Bai, Wenqian
    Kang, Guichuan
    Chen, Xin
    Zhang, Yuxiang
    BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT, 2024, 83 (06)
  • [38] Time-Series Analysis and Prediction of Surface Deformation in the Jinchuan Mining Area, Gansu Province, by Using InSAR and CNN-PhLSTM Network
    He, Yi
    Yan, Haowen
    Yang, Wang
    Yao, Sheng
    Zhang, Lifeng
    Chen, Yi
    Liu, Tao
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2022, 15 : 6732 - 6751
  • [39] High Precision Extraction of Surface Deformation Information Based on Principal Component Spatiotemporal Analysis and Time-series InSAR: Taking Xuzhou as an Example
    Chen Y.
    Chen S.
    Li J.
    Li H.
    Gao Y.
    Wang Y.
    Du P.
    Journal of Geo-Information Science, 2023, 25 (12) : 2402 - 2417
  • [40] Advanced time-series InSAR analysis to estimate surface deformation and utilization of hybrid deep learning for susceptibility mapping in the Jakarta metropolitan region
    Hakim, Wahyu Luqmanul
    Fadhillah, Muhammad Fulki
    Won, Joong-Sun
    Park, Yu-Chul
    Lee, Chang-Wook
    GISCIENCE & REMOTE SENSING, 2025, 62 (01)