• DocumentCode
    2321091
  • Title

    Ecological environment quality evaluation in mining city A case of Panzhihua

  • Author

    Huaiyong Shao ; Wei Xian ; Yang Wunian ; Jie, Huang ; Zhi, Liu

  • Author_Institution
    Chengdu Univ. of Technol., Chengdu
  • fYear
    2009
  • fDate
    20-22 May 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Basing on multi-source remote sensing data, statistical data, supporting of GIS technology, this study carried out the research on comprehensive evaluation of the ecological environment quality of resource-based city - Panzhihua City from five aspects which is biological abundance, vegetation coverage, water density, land degradation and pollution load. The results show that the quality of the overall situation of the ecological environment in Panzhihua City was divided into 5 categories from good to bad, and the area accounting for the city area respectively is 6.58%, 29.44%, 37.04%, 22.65% and 4.29%. The ecological environment situation Along the Jinsha River and Anning River is significantly worse than other regions, and more near from the river, the poorer the quality of the ecological environment. In order to improve the ecological environment of the study area, ecological reconstruction of mining zone region should be strengthened, clean production process should be through every aspect of mineral development, Returning farmland to forest projects should be continue to actively and steadily push forward, and soil erosion should be control maximally.
  • Keywords
    ecology; geographic information systems; minerals; mining; pollution; remote sensing; statistical analysis; vegetation; Anning River; China; GIS technology; Jinsha River; Panzhihua City; biological abundance; clean production process; ecological environment quality evaluation; forest projects; land degradation; mineral development; mining city; multi-source remote sensing data; pollution load; soil erosion; statistical data; vegetation coverage; water density; Cities and towns; Degradation; Geographic Information Systems; Land pollution; Production; Remote sensing; Rivers; Vegetation; Water pollution; Water resources;
  • 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.2009.5137624
  • Filename
    5137624