• DocumentCode
    2805280
  • Title

    Geo-Deformation Information Extraction and GIS Analysis on Important Buildings by Underground Mining Subsidence

  • Author

    Yang Ke-ming ; Xiao Jin-bang ; Duan Meng-ting ; Pang Bo ; Wang Yi-bin ; Wang Ran

  • Author_Institution
    Dept. of Remote Sensing & Geomatics, China Univ. of Min. & Technol. (Beijing), Beijing, China
  • fYear
    2009
  • fDate
    19-20 Dec. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The ground subsidence process induced by underground longwall coal mining is a complicated process of subsidence-induced damage to the ground and the surface buildings. Based on the study of the surface movement and deformation regulation on overburden strata of the mining field, a new predicting analysis of surface movement and deformation is provided based on GIS. By using the method of spatial analysis and visualized application with ArcGIS, this paper gives out dynamic detecting ways of mining subsidence for coal mining district and important buildings of Huaibei coal mine, the analyzed results are fitted well with the actual surface subsidence and deformations.
  • Keywords
    coal; deformation; geographic information systems; information filtering; maintenance engineering; mining; structural engineering computing; ArcGIS; GIS analysis; deformation regulation; geodeformation information extraction; ground subsidence process; spatial analysis; surface movement prediction analysis; underground longwall coal mining; underground mining subsidence; Algorithm design and analysis; Data mining; Deformable models; Educational institutions; Geographic Information Systems; Geoscience and remote sensing; Information analysis; Predictive models; Probability; Radio access networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4994-1
  • Type

    conf

  • DOI
    10.1109/ICIECS.2009.5362679
  • Filename
    5362679