Deformation, structure and potential hazard of a landslide based on InSAR in Banbar county, Xizang (Tibet)

被引:0
|
作者
Zhao, Guan-hua [1 ,2 ]
Lan, Heng-xing [2 ,3 ,4 ]
Yin, Hui-yong [1 ]
Li, Lang-ping [2 ,5 ]
Strom, Alexander [6 ]
Sun, Wei-feng [3 ]
Tian, Chao-yang [3 ]
机构
[1] Shandong Univ Sci & Technol, Coll Earth Sci & Engn, Qingdao 266590, Peoples R China
[2] Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China
[3] Changan Univ, Sch Geol Engn & Geomat, Xian 710054, Peoples R China
[4] Minist Nat Resources, Key Lab Ecol Geol & Disaster Prevent, Xian 710054, Peoples R China
[5] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[6] JSC Hydroproject Inst, Moscow 125993, Russia
基金
中国国家自然科学基金;
关键词
Landslide; InSAR; Human activity; Deformation; Structure; LSTM model; Engineering construction; Thickness; Neural network; Machine learning; Prediction and prevention; Tibetan Plateau; Geological hazards survey engineering; CROSS-SECTION RESTORATION; VOLUME; SUSCEPTIBILITY; TOPOGRAPHY; KINEMATICS; THICKNESS; MOVEMENT; TOPSAR; CITY;
D O I
10.31035/cg2023130
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
The Tibetan Plateau is characterized by complex geological conditions and a relatively fragile ecological environment. In recent years, there has been continuous development and increased human activity in the Tibetan Plateau region, leading to a rising risk of landslides. The landslide in Banbar County, Xizang (Tibet), have been perturbed by ongoing disturbances from human engineering activities, making it susceptible to instability and displaying distinct features. In this study, small baseline subset synthetic aperture radar interferometry (SBAS-InSAR) technology is used to obtain the Line of Sight (LOS) deformation velocity field in the study area, and then the slope-orientation deformation field of the landslide is obtained according to the spatial geometric relationship between the satellite's LOS direction and the landslide. Subsequently, the landslide thickness is inverted by applying the mass conservation criterion. The results show that the movement area of the landslide is about 6.57x10(4) m(2), and the landslide volume is about 1.45x10(6) m(3). The maximum estimated thickness and average thickness of the landslide are 39 m and 22 m, respectively. The thickness estimation results align with the findings from on-site investigation, indicating the applicability of this method to large-scale earth slides. The deformation rate of the landslide exhibits a notable correlation with temperature variations, with rainfall playing a supportive role in the deformation process and displaying a certain lag. Human activities exert the most substantial influence on the spatial heterogeneity of landslide deformation, leading to the direct impact of several prominent deformation areas due to human interventions. Simultaneously, utilizing the long short -term memory (LSTM) model to predict landslide displacement, and the forecast results demonstrate the effectiveness of the LSTM model in predicting landslides that are in a continuous development and movement phase. The landslide is still active, and based on the spatial heterogeneity of landslide deformation, new recommendations have been proposed for the future management of the landslide in order to mitigate potential hazards associated with landslide instability. (c) 2024 China Geology Editorial Office.
引用
收藏
页码:203 / 221
页数:19
相关论文
共 50 条
  • [11] Early Identification of Potential Landslide Hazards and Precipitation Correlation Analysis in Zhouqu County Based on SBAS–InSAR Technology
    Xu, Yuanmao
    Wu, Zhen
    Liu, Jie
    Gongcheng Kexue Yu Jishu/Advanced Engineering Sciences, 2023, 55 (06): : 257 - 271
  • [12] A study on the monitoring of landslide deformation disasters in Wenxian County, Longnan City based on different time-series InSAR techniques
    Zhang, Jinlong
    Yang, Rui
    Qi, Yuan
    Zhang, Hui
    Zhang, Juan
    Guo, Qianhong
    Ma, Chao
    Wang, Hongwei
    NATURAL HAZARDS, 2024, 120 (13) : 11851 - 11875
  • [13] Identification of Potential Landslide Hazards Using Time-Series InSAR in Xiji County, Ningxia
    Zhang, Jia
    Gong, Yongfeng
    Huang, Wei
    Wang, Xing
    Ke, Zhongyan
    Liu, Yanran
    Huo, Aidi
    Adnan, Ahmed
    Abuarab, Mohamed EL-Sayed
    WATER, 2023, 15 (02)
  • [14] Monitoring of landslide deformation based on the coherent targets of high resolution InSAR Data
    Fan, Jinghui
    Xia, Ye
    Zhao, Hongli
    Li, Man
    Wang, Yi
    Guo, Xiaofang
    Tu, Pengfei
    Liu, Guang
    Lin, Hao
    REMOTE SENSING OF THE ENVIRONMENT: 18TH NATIONAL SYMPOSIUM ON REMOTE SENSING OF CHINA, 2014, 9158
  • [15] Dynamic landslide susceptibility mapping based on the PS-InSAR deformation intensity
    Bijing Jin
    Taorui Zeng
    Kunlong Yin
    Lei Gui
    Zizheng Guo
    Tengfei Wang
    Environmental Science and Pollution Research, 2024, 31 : 7872 - 7888
  • [16] Dynamic landslide susceptibility mapping based on the PS-InSAR deformation intensity
    Jin, Bijing
    Zeng, Taorui
    Yin, Kunlong
    Gui, Lei
    Guo, Zizheng
    Wang, Tengfei
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2024, 31 (05) : 7872 - 7888
  • [17] Landslide Hazard Assessment Combined with InSAR Deformation: A Case Study in the Zagunao River Basin, Sichuan Province, Southwestern China
    Shan, Yunfeng
    Xu, Zhou
    Zhou, Shengsen
    Lu, Huiyan
    Yu, Wenlong
    Li, Zhigang
    Cao, Xiong
    Li, Pengfei
    Li, Weile
    REMOTE SENSING, 2024, 16 (01)
  • [18] Landslide hazard evaluation based on studies of pecularities of slope deposit deformation during landslide flow movement
    Zerkal, OV
    Sokolov, VN
    EIGHTH INTERNATIONAL CONGRESS INTERNATIONAL ASSOCIATION FOR ENGINEERING GEOLOGY AND THE ENVIRONMENT, PROCEEDINGS, VOL 6, 2000, : 4119 - 4124
  • [19] Deformation Characteristics of Jiaju Ancient Landslide Based on InSAR Monitoring Method, Sichuan, China
    Yan Y.
    Guo C.
    Zhong N.
    Li X.
    Li C.
    Diqiu Kexue - Zhongguo Dizhi Daxue Xuebao/Earth Science - Journal of China University of Geosciences, 2022, 47 (12): : 4681 - 4697
  • [20] A New Deformation Enhancement Method Based on Multitemporal InSAR for Landslide Surface Stability Assessment
    Liu, Youfeng
    Yang, Honglei
    Jiao, Runcheng
    Wang, Zeping
    Wang, Liuyu
    Zeng, Wei
    Han, Jianfeng
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2024, 17 : 11086 - 11100