• DocumentCode
    2016519
  • Title

    Research and application of coal floor water bursting forecast system based on GIS

  • Author

    Wen Guangchao ; Deng Yinsheng ; Xu Jiangtao

  • Author_Institution
    Inst. of Resource & Environ., Henan Polytech. Univ., Jiaozuo, China
  • Volume
    1
  • fYear
    2010
  • fDate
    17-18 July 2010
  • Firstpage
    356
  • Lastpage
    359
  • Abstract
    After having analyzed the factors of the mine flood of the coal floor, studied the theory of coal floor water bursting, and established the model library of mine flood forecast system, we finally designed the coal floor water bursting forecast system and make it to appliance from the surface to the point, with the help of GIS(Geographic Information System) spatial analysis tools and database management platform, and having quantified the Water-rich aquifers, water pressure, aquiclude thickness, the depth of mining damage, and using scientific methods such as the water bursting coefficient, residual analysis, neural network, expert systems and so on. The soft has been tested in WUKUANG of PingDingShan Coal Group bore field after the system completion and the result is good, ensured the safely in production, and liberated the coal seam by the threat of pressure water in the mining area of G1.
  • Keywords
    database management systems; expert systems; geographic information systems; neural nets; GIS; PingDingShan coal group; WUKUANG; coal floor water bursting forecast system; database management platform; expert systems; flood forecast system; geographic information system; neural network; residual analysis; spatial analysis tools; Data mining; Databases; Floods; Forecasting; Geology; Predictive models; Training; GIS; coal floor water bursting; expert system; forecast; neutral network;
  • 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.2010.5568722
  • Filename
    5568722