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
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