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
Link To Document :
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