• DocumentCode
    2320893
  • Title

    Eco-security evaluation in Panxi mining concentrated area

  • Author

    Xian Wei ; Huaiyong Shao ; Wancun Zhou ; Jieming Zhou ; Jie, Huang ; Zhi, Liu

  • Author_Institution
    Chengdu Inst. of Mountain Disaster & Environ., CAS, Chengdu, China
  • fYear
    2009
  • fDate
    20-22 May 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In the PSR(pressure - state - response) model framework, constructing ecological security evaluation system of the mining area, basing on artificial neural network model, selecting RS data of TM, SPOT-5, IKONOS as well as natural ecological environment data and socio-economic data, this study carried out the research on ecological security evaluation in Panxi mining concentrated areas. The results show that, (1) the Artificial Neural Network model reflect very well the complex non-linear relation in eco-security evaluation, and the results of Evaluation had high precision. (2) The overall system security state of the study area belongs to middle level; the ecological safety level of the study area was dominated by two types which were more secure status and warning status. The regional differences of ecological security level of study area were pronounced, the ecological security situation of northern part was better than that of the southern. The dominant factor of regional ecological safety was in serious warning state in part of the study area, and ecological damage to the environment is mining activities.
  • Keywords
    geophysical techniques; geophysics computing; minerals; mining; neural nets; remote sensing; socio-economic effects; China; IKONOS; PSR model; Panxi mining; SPOT-5; Satellite Pour l´Observation de la Terre; artificial neural network model; eco-security evaluation; ecological security evaluation system; mineral resource; pressure-state-response; remote sensing data; socio-economic data; thematic mapper; Artificial neural networks; Biological system modeling; Data security; Environmental economics; Environmental factors; Geology; Mineral resources; National security; Power generation economics; Protection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Urban Remote Sensing Event, 2009 Joint
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-3460-2
  • Electronic_ISBN
    978-1-4244-3461-9
  • Type

    conf

  • DOI
    10.1109/URS.2009.5137612
  • Filename
    5137612