• DocumentCode
    2496137
  • Title

    A Set Pair Analysis Model for Urban Ecosystem Health Assessment

  • Author

    Yu, Peng ; Zhou, Jingxuan ; Li, Xiangmei

  • Author_Institution
    Environ. Sci. & Eng. Coll., Huazhong Univ. of Sci. & Technol., Wuhan, China
  • fYear
    2009
  • fDate
    11-13 June 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Ecosystem health is the prerequisite for ecosystem service function. Assessment reflecting the trends of urban ecosystem health can improve ´information for decision making´ on sustainability. Because urban areas are an advanced man-made complex ecosystem consisted of nature, society and economy, the key of urban ecosystem health assessment is to set suitable model for resolving the uncertainty of urban ecosystem. The paper establishes an assessment model of urban ecosystem health based set pair analysis (SPA) theory. The model can quantitatively calculate the health level of urban ecosystem through n-member connection number, so it can effectively deal with uncertain problems in urban ecosystem assessment. As an example, the urban ecosystem health states of Wuhan are thereafter evaluated using the model. The results show that: (1) the urban ecosystem health states of Wuhan are improving slowly; (2) among five assessing criteria, structure of Wuhan ecosystem is relatively reasonable, vigor and resilience can be regarded as the major disadvantages of the ecosystem; and (3) the model is suitable for urban ecosystem health assessment.
  • Keywords
    biology computing; ecology; environmental management; health care; physiological models; decision making; ecosystem health; health assessment; n-member connection number; set pair analysis model; urban ecosystem; Biological system modeling; Cities and towns; Decision making; Ecosystems; Educational institutions; Environmental management; Humans; Resilience; Uncertainty; Urban areas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2901-1
  • Electronic_ISBN
    978-1-4244-2902-8
  • Type

    conf

  • DOI
    10.1109/ICBBE.2009.5162238
  • Filename
    5162238