DocumentCode
3410954
Title
Detection and visualization of the eco-environmental response under urbanization: A grey relational analysis technique
Author
Liu, Yaobin
Author_Institution
Res. Center of Central China Economic Dev., Nanchang Univ., Nanchang, China
fYear
2009
fDate
10-12 Nov. 2009
Firstpage
223
Lastpage
227
Abstract
Urbanization often alters eco-environmental responses, with a broad range of potentially significant environmental and engineering consequences. At a practical, site-specific management level, efficient and effective assessment and control of such urbanized area impacts require a technical capability to rapidly identify development-induced eco-environmental changes. The readily GRT might provide a mathematically format, and specially represent an eco-environmental response analysis to urbanization. The study puts forward the coupling degrees model based on GRT and ISM to investigate the response of eco-environment to urbanization in Jiangsu province, China. The paper selects 16 critical variables to reveal the coupling mechanism and describes the eco-environmental changes in line with urbanization process from 1990 to 2007. The result shows there exists significant phases for the temporal evolvement of coupling degrees, in which the changing of coupling degrees stages takes on the combining curve composed of two inverted "U" shaped.
Keywords
ecology; environmental factors; grey systems; China; Jiangsu province; coupling mechanism; eco-environmental response detection; eco-environmental response visualization; engineering consequence; environmental consequence; grey relational analysis; temporal evolvement; urbanized area; Ecosystems; Environmental management; Humans; Land pollution; Land surface; Monitoring; Pollution measurement; Urban pollution; Vegetation mapping; Visualization;
fLanguage
English
Publisher
ieee
Conference_Titel
Grey Systems and Intelligent Services, 2009. GSIS 2009. IEEE International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-4914-9
Electronic_ISBN
978-1-4244-4916-3
Type
conf
DOI
10.1109/GSIS.2009.5408319
Filename
5408319
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