• DocumentCode
    2008262
  • Title

    The prediction and forecast of coal floor water-inrush based on GIS: A case study on the I-1 mining district in the 5# coal mine in Pingdingshan area

  • Author

    Li Feng-jun ; Zheng Ji-dong

  • Author_Institution
    Economic Manage. Coll., China Univ. of Geosci., Wuhan, China
  • Volume
    2
  • fYear
    2010
  • fDate
    17-18 July 2010
  • Firstpage
    663
  • Lastpage
    666
  • Abstract
    Based on GIS, especially on its spatial analysis function, a case study on the predicting and forecasting of the risk of coal floor water-inrush was practiced in the I-1 mining district in the 5# coal mine in Pingdingshan coal area in this article. The 5# mine of Pingdingshan coal area belongs to the typical Carboniferous-Permian coal mining area which were threaten seriously by the coal floor water-inrush, and water-inrush related to the water pressure, the stability of water-resisting layers, faults and other geological, hydro-geological and mining conditions. According to the statistics data of the 5# mine, during the first stage of mining I coal group in deep region with small scale, 43 times of water-bursting events from L7 limestone Karst water were selected in the study. With the spatial analysis function of MAPGIS, the law of water-inrushing were analyzed, it showed that the analysis and simulation through compounding with multi-factors help to predict and to forecast accurately and effectively, for the mining of deep coal resources. And the methods, procedures, and basic process of the application with GIS on the predicting and forecasting of water-inrush are introduced; water-inrush model was established. According to the water-bursting model and partition threshold, subregion of risk zone is repartition in I coal mining district of the 5# mine in Pingdingshan coal area.
  • Keywords
    coal; forecasting theory; geographic information systems; mining; prediction theory; production engineering computing; risk analysis; water; Carboniferous-Permian coal mining area; GIS; I-1 mining district; MAPGIS; Pingdingshan Area; coal floor water-inrush; coal mine; hydro-geological conditions; limestone Karst water; mining conditions; partition threshold; risk forecasting; risk predicting; spatial analysis; stability; water pressure; water-bursting model; water-resisting layers; Forecasting; Geographic Information Systems; Geology; Indexes; Monitoring; Surges; GIS; coal floor; predicting and forecasting; water-inrush;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Environmental Science and Information Application Technology (ESIAT), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-7387-8
  • Type

    conf

  • DOI
    10.1109/ESIAT.2010.5568339
  • Filename
    5568339