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
Link To Document :
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