• DocumentCode
    2713462
  • Title

    Integrated GIS-based and analytic hierarchy process research on urban ecological sensitivity of Shanghai City, China

  • Author

    Cao, Jianjun

  • Author_Institution
    Key Lab. of Geographic Inf. Sci., East China Normal Univ., Shanghai, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper, five ecological sensitivity factors affecting the eco-environment of Shanghai, i.e., rivers and lakes, historical relics and forest parks, geological disasters, soil pollution and land use, were selected, and their weights were determined by analytic hierarchy process (AHP). Applying with GIS spatial analysis technique, the ecological sensitivity of the five factors was divided into four grades, i.e., highly sensitive, moderately sensitive, low sensitive and insensitive, and the spatial distribution of the ecological sensitivity of Shanghai was figured out. There existed a significant spatial differentiation in the ecological sensitivity of Shanghai, and the insensitive, low sensitive, moderately sensitive and highly sensitive areas occupied 37.07%, 5.94%, 38.16% and 18.83%, respectively. Some suggestions on Shanghai´s zoning protection and construction were proposed. This study could provide scientific references for the city´s environmental protection and economic development.
  • Keywords
    decision making; ecology; environmental science computing; geographic information systems; AHP; GIS spatial analysis technique; Shanghai City China; analytic hierarchy process research; ecological sensitivity; forest parks; geological disasters; historical relics; land use; soil pollution; spatial distribution; Biological system modeling; Ecosystems; Geology; Lakes; Rivers; Sensitivity analysis; Geographic Information System (GIS); Shanghai; analytic hierarchy process (AHP); ecological sensitivity; spatial analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics, 2011 19th International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    2161-024X
  • Print_ISBN
    978-1-61284-849-5
  • Type

    conf

  • DOI
    10.1109/GeoInformatics.2011.5981119
  • Filename
    5981119