Research on mining subsidence prediction based on GIS

被引:0
|
作者
Li, X. L. [1 ]
Li, C. L. [1 ]
机构
[1] Univ Sci & Technol Beijing, Sch Civil & Environm Engn, Beijing 100083, Peoples R China
关键词
D O I
10.1201/9780203883204.ch60
中图分类号
P5 [地质学];
学科分类号
0709 ; 081803 ;
摘要
Based on a GIS (geographic information system) and stochastic approach, a study has been done for predicting the mining subsidence of Beiminghe Iron Mine. A three-dimensional (3D) calculating model related to geographic, geologic and inherent information has been made, and then the new system, which is developed by the stochastic and component techniques, is used to predict the mining subsidence. By using the effective spatial analytical function and the drawing tool of GIS, the analysis results intuitively show the degree and scope of mining subsidence. By a comparison with the observation data of the ground surface and actual situation, the proposed approach has been verified and a 3D visual platform is offered for safety control of the metal mine.
引用
收藏
页码:321 / 324
页数:4
相关论文
共 50 条
  • [1] Research for Visualization of Mining Subsidence Prediction Based on Matlab
    Zhao, Ya-hong
    Hao, Yan-jin
    Ren, Lu-yang
    ADVANCES IN CIVIL ENGINEERING, PTS 1-4, 2011, 90-93 : 3222 - 3226
  • [2] Integral system research of prediction of mining subsidence
    Wang, YH
    Wu, K
    Deng, KZ
    COMPUTER APPLICATIONS IN THE MINERALS INDUSTRIES, 2001, : 719 - 722
  • [3] Integrated GIS-based Prediction and Impact Assessment System due to Mining Subsidence
    Zhao Xiaodong
    Yan Xiaobao
    Jiang Yujing
    2010 INTERNATIONAL CONFERENCE ON MINE HAZARDS PREVENTION AND CONTROL, 2010, 12 : 489 - +
  • [4] System based on GIS is designed and carried out about mining subsidence prediction analysis
    Zhu Liujuan
    Wei Fengyuan
    Zou Youfeng
    Progress in Mining Science and Safety Technology, Pts A and B, 2007, : 213 - 216
  • [5] Synthesis subsidence prediction method due to underground mining integrated with GIS
    Esaki, T
    Djamaluddin, I
    Mitani, Y
    Zhou, G
    Contribution of Rock Mechanics to the New Century, Vols 1 and 2, 2004, : 147 - 152
  • [6] Application Research on Genetic Programming in the Prediction of mining subsidence
    Sun Xue-yang
    Xia Yu-cheng
    Qi Hui-min
    Xiao Liang
    2009 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND INTELLIGENT SYSTEMS, PROCEEDINGS, VOL 1, 2009, : 29 - 32
  • [7] EVALUATION OF LAND RECLAMATION SUITABILITY IN MINING SUBSIDENCE BASED ON GIS
    Gu, Linxia
    Fecko, Peter
    Zhou, Liping
    Yang, Chunhua
    14TH CONFERENCE ON ENVIRONMENT AND MINERAL PROCESSING, PT III, 2010, : 235 - 240
  • [8] Research on Prediction Model of Mining Subsidence in Thick Unconsolidated Layer Mining Area
    Chi, Shenshen
    Wang, Lei
    Yu, Xuexiang
    Fang, Xinjian
    Jiang, Chuang
    IEEE ACCESS, 2021, 9 : 23996 - 24010
  • [9] Research on prediction method of coal mining surface subsidence based on MMF optimization model
    Piao, Chunde
    Zhu, Bin
    Jiang, Jianxin
    Dong, Qinghong
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [10] Research on Mining Maximum Subsidence Prediction Based on Genetic Algorithm Combined with XGBoost Model
    Gu, Zhongyuan
    Cao, Miaocong
    Wang, Chunguang
    Yu, Na
    Qing, Hongyu
    SUSTAINABILITY, 2022, 14 (16)