Identifying the Cause of Abnormal Building Damage in Mining Subsidence Areas Using InSAR Technology

被引:16
|
作者
Diao, Xinpeng [1 ,2 ]
Wu, Kan [1 ,2 ]
Chen, Ranli [3 ]
Yang, Jun [2 ]
机构
[1] Jiangsu Key Lab Resources & Environm Informat Eng, Xuzhou 221116, Peoples R China
[2] China Univ Min & Technol, Sch Environm Sci & Spatial Informat, Xuzhou 221116, Peoples R China
[3] Shijiazhuang Inst Railway Technol, Dept Surveying Engn, Shijiazhuang 050041, Hebei, Peoples R China
来源
IEEE ACCESS | 2019年 / 7卷
关键词
Mining subsidence; abnormal deformation; building damage; geological fault; InSAR; similar material modeling; GROUND SUBSIDENCE; MOVEMENT; DEFORMATION; PREDICTION; INTERFEROMETRY;
D O I
10.1109/ACCESS.2019.2956094
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Under normal geological and mining conditions, surface subsidence caused by underground coal mining generally adheres to current subsidence theory. However, due to the presence of complex geological structures, abnormal mining-induced surface deformation has become increasingly frequent. In this study, we investigate abnormal surface deformation and building damage caused by the excavation of working face 162601 in Xinsan Mine, Fengfeng Mining District, using seven RadarSat-2 SAR images from October 2013 to March 2014. The spatial distribution of surface deformation is identical to the strike of the F29 fault, indicating that the abnormal damage suffered by buildings in Shiqiao Village is related to the existence of this fault. A theoretical analysis and similitude material simulation experiments are conducted to determine the relationship between the fault and the mining-induced subsidence. In both instances, fault "activation" is the root cause of the abnormal surface deformation and building damage. This study reveals the mechanism behind abnormal damage in a mining-induced subsidence area by analyzing the InSAR derived spatial distribution of surface deformation. The findings of this study will contribute towards improving subsidence control theory, developing preventive measures against abnormal damage in subsidence-affected areas, and conserving the ecological environment of such areas.
引用
收藏
页码:172296 / 172304
页数:9
相关论文
共 50 条
  • [1] Surface subsidence prediction and building damage assessment in mining areas
    [J]. Chai, H.-B. (zugy@smm.neu.edu.cn), 1600, Northeast University (34):
  • [2] Monitoring Ground Subsidence in Mining Area Using Spaceborne InSAR Technology
    He, Jianguo
    Liu, Guang
    Yue, Huanyin
    [J]. 2009 JOINT URBAN REMOTE SENSING EVENT, VOLS 1-3, 2009, : 1187 - +
  • [3] Deriving Dynamic Subsidence of Coal Mining Areas Using InSAR and Logistic Model
    Yang, Zefa
    Li, Zhiwei
    Zhu, Jianjun
    Yi, Huiwei
    Hu, Jun
    Feng, Guangcai
    [J]. REMOTE SENSING, 2017, 9 (02)
  • [4] Using InSAR to monitor mining surface subsidence
    Yan, Jiang
    Ding Jianquan
    Feng Yougui
    Xu Yongmei
    [J]. 3RD INTERNATIONAL SYMPOSIUM ON MODERN MINING & SAFETY TECHNOLOGY PROCEEDINGS, 2008, : 686 - 688
  • [5] D-InSAR Monitoring Method of Mining Subsidence Based on Boltzmann and Its Application in Building Mining Damage Assessment
    Wang, Lei
    Teng, Chaoqun
    Jiang, Kegui
    Jiang, Chuang
    Zhu, Shangjun
    [J]. KSCE JOURNAL OF CIVIL ENGINEERING, 2022, 26 (01) : 353 - 370
  • [6] D-InSAR Monitoring Method of Mining Subsidence Based on Boltzmann and Its Application in Building Mining Damage Assessment
    Lei Wang
    Chaoqun Teng
    Kegui Jiang
    Chuang Jiang
    Shangjun Zhu
    [J]. KSCE Journal of Civil Engineering, 2022, 26 : 353 - 370
  • [7] Study of monitoring mining subsidence in coal mining area by D-InSAR technology
    裴亮
    李文杰
    谭阳
    [J]. International Journal of Coal Science & Technology, 2008, (04) : 591 - 593
  • [8] The Calculation theory of D-InSAR Technology for Mining Subsidence Strain
    Xu Hui
    He Rong
    Guo Zhengzhang
    Li Jingjing
    [J]. ITESS: 2008 PROCEEDINGS OF INFORMATION TECHNOLOGY AND ENVIRONMENTAL SYSTEM SCIENCES, PT 1, 2008, : 785 - 790
  • [9] Subsidence monitoring using D-InSAR and probability integral prediction modelling in deep mining areas
    Fan, H. D.
    Cheng, D.
    Deng, K. Z.
    Chen, B. Q.
    Zhu, C. G.
    [J]. SURVEY REVIEW, 2015, 47 (345) : 438 - 445
  • [10] Study on the Deformation and Stability of Building Foundations in Mining Subsidence Areas
    Chai, Huabin
    [J]. PROGRESS IN STRUCTURE, PTS 1-4, 2012, 166-169 : 1967 - 1970