• DocumentCode
    2903268
  • Title

    The Evaluation of Ecological Environment Condition in Mining Area Based on GIS and Fuzzy-OWA Model

  • Author

    Chen Qiuji

  • Author_Institution
    Coll. of Geomatics, Xian Univ. of Sci. & Technol., Xian, China
  • Volume
    3
  • fYear
    2009
  • fDate
    4-5 July 2009
  • Firstpage
    478
  • Lastpage
    481
  • Abstract
    Resource mining has lead to a lot of land lacking of productivity and regional ecological environment deteriorating. In order to make scientific and rational program of the ecological restoration, the ecological and environmental conditions of mining area shall be evaluate firstly. In this study, the ecological environment conditions in research area were done with methods of fuzzy-OWA (Ordered Weighted Averaging) based on GIS. The research showed that there were nearly half of land in research area was serious damaged, 36 percent of land was light damaged, only 14 percent of land keeping health. The studied result was reasonable and the classification degree for the ecological environment condition is consistent with the real situation, which was helpful for decision-making. Finally, the treatment measures were provided based on the evaluation result. In addition, this method can meet the change of factor configuration and handle with large-scale data automatically based on GIS.
  • Keywords
    ecology; environmental science computing; fuzzy systems; geographic information systems; land use planning; mining; GIS; ecological environment condition; ecological restoration; fuzzy-OWA model; land productivity; mining area; ordered weighted averaging; regional ecological environment deterioration; resource mining; Biological system modeling; Decision making; Educational institutions; Electronic mail; Fuzzy sets; Geographic Information Systems; Large-scale systems; Open wireless architecture; Productivity; Water resources; OWA; ecological environment; fuzzy; mining area;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Environmental Science and Information Application Technology, 2009. ESIAT 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3682-8
  • Type

    conf

  • DOI
    10.1109/ESIAT.2009.149
  • Filename
    5199735