Investigation on deformation behavior of unstable rock belt based on multi-source data analysis

被引:0
|
作者
Zhang, Yufang [1 ,2 ]
He, Junyi [3 ]
Yuan, Kun [1 ,2 ]
Xu, Xueyong [4 ]
Zhou, Ye [4 ]
Zhang, Haoshan [4 ]
Xing, Aiguo [3 ]
Cui, Jian [1 ,2 ]
机构
[1] China Acad Railway Sci Grp Co Ltd, Railway Engn Res Inst, Beijing 100081, Peoples R China
[2] Natl Key Lab High Speed Railway Track Syst, Beijing 100081, Peoples R China
[3] Shanghai Jiao Tong Univ, State Key Lab Ocean Engn, Shanghai 200240, Peoples R China
[4] North Informat Control Res Acad Grp Co Ltd, Nanjing 211100, Peoples R China
关键词
Unstable rock belt; Deformation evolution; Multi-source data; Slope failure prediction; Inverse-velocity method; LANDSLIDE; INSAR;
D O I
10.1007/s10064-024-03991-5
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Slope failure triggered by collaboration of coal-mining activities, structural plane, karstification and rainfall is very frequently occurred in Guizhou, China. Subsequent four rock topples occurred in Daxian village, Bijie City since October 2022 continuously threatening the safety of the residents and exhibited a high possibility of reoccurring geohazards in the Yiziyan unstable rock belt. Temporal and spatial multi-source data from GNSS, sensors, video footage, aerial image and remote sensing are integrated to reveal the unstable rock belt deformation behavior. Detailed macro- and microscopic data reveal that slope experienced a three-stage deformation process with different displacement rate since devices started to monitor. Based on the comprehensive monitoring data, inverse-velocity method (IVM) was improved with two quantitative indexes: displaced angle and crack width, and it indicated a slope failure event approximately on 23rd June 2023. According to the prediction result, government emergently evacuated all the residents and took effective disaster management. Therefore, fatalities were avoided in the major rock topple event occurred on 20th June 2023 in Yiziyan which served as a highly valuable case of successfully forecast approaching slope failure. The modified IVM provides specific precursor of future potential geohazards in the similar geological condition in Guizhou.
引用
收藏
页数:15
相关论文
共 50 条
  • [31] Investigation on SMT Product Defect Recognition Based on Multi-Source and Multi-Dimensional Data Reconstruction
    Chang, Jiantao
    Qiao, Zixuan
    Wang, Qibin
    Kong, Xianguang
    Yuan, Yunsong
    MICROMACHINES, 2022, 13 (06)
  • [32] Multi-source Data Clustering
    Li, Tiancheng
    Corchado, Juan M.
    Bajo, Javier
    Sun, Shudong
    2015 18TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION), 2015, : 830 - 837
  • [33] Transit travel demand analysis method based on APTS multi-source data
    Chen, Jun
    Li, Xiaohua
    Lan, Ma
    SUSTAINABLE CITIES DEVELOPMENT AND ENVIRONMENT PROTECTION, PTS 1-3, 2013, 361-363 : 2122 - 2126
  • [34] Integrated Simulation Platform Based on Multi-source Data
    Sun Jlan
    Liang Haiping
    Yang Yulong
    ADVANCES IN ENERGY SCIENCE AND TECHNOLOGY, PTS 1-4, 2013, 291-294 : 2283 - +
  • [35] Multi-source Information Fusion Based on Data Driven
    Zhang Xin
    Yang Li
    Zhang Yan
    ADVANCES IN SCIENCE AND ENGINEERING, PTS 1 AND 2, 2011, 40-41 : 121 - 126
  • [36] A Situation Analysis Method for Specific Domain Based on Multi-source Data Fusion
    Wang, Haijian
    Zhang, Zhaohui
    Wang, Pengwei
    INTELLIGENT COMPUTING THEORIES AND APPLICATION, PT I, 2018, 10954 : 160 - 171
  • [37] Spatiotemporal Analysis of Competition Between Subways and Taxis Based on Multi-Source Data
    Wang, Rui
    Chen, Feng
    Liu, Xiaobing
    Fujiyama, Taku
    IEEE ACCESS, 2020, 8 : 225792 - 225804
  • [38] Energy indicators based on multi-source data and participation
    Dalla Costa, Silvia
    PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-URBAN DESIGN AND PLANNING, 2013, 166 (01) : 24 - 33
  • [39] Multi-source Data Analysis Method of Exhibition Site Based on Mobile Internet
    Yin, Xiaoyin
    He, Jiangnan
    Gao, Ying
    Li, Jingxian
    IWCMC 2021: 2021 17TH INTERNATIONAL WIRELESS COMMUNICATIONS & MOBILE COMPUTING CONFERENCE (IWCMC), 2021, : 41 - 44
  • [40] Analysis of a Haze Event over Nanjing, China Based on Multi-Source Data
    Zhang, Yiyang
    Wang, Jing
    Bu, Lingbing
    ATMOSPHERE, 2019, 10 (06):