Assessment Model Design of Urban Ecosystem Based on Fuzzy Theory – A Case of Changsha

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Abstract:

Using the theories of fuzzy mathematics and urban ecology, a basic evaluation model of urban ecosystem is established and the evaluative index set was build. According to the latest 5 years statistic of Changsha city, the values of ecological environmental index are calculated, then the situation of ecological environment of this city are analyzed. The results show its ecological conditions showed a rising trend year by year. At last, Evaluative conclusion proved that above model is of higher reliability.

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Periodical:

Advanced Materials Research (Volumes 113-116)

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1239-1242

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June 2010

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© 2010 Trans Tech Publications Ltd. All Rights Reserved

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[1] Richard Register. Ecocity Berkeley, Building Cities for a Healthy Future[M]. North Atlantic Books,(1987).

Google Scholar

[2] Sybrand P. Tjllingii. Ecopolis, Ecologically Sound Urban Development[M]. Backhuys Publishers. (1995).

Google Scholar

[3] SHENG Xue-liang; PENG Bu-zhuo. Perspective on Ideology about Building Ecocity and Its Standards for Evaluating Ecocity[J]. Environment Herald, 2001(1): 5-8.

Google Scholar

[4] CHEN Jing-wen. The Ecocity-Oriented Evaluation Method for the Urban Ecosystem-The Case of Changsha[D]. Changsha: Tongji university. 2007(6): 38-45.

Google Scholar

[5] ZENG Yong, SHEN Gen-xiang, HUANG Shen-fa, WANG Min. Changsha urban ecosystem health assessment[J]. Resources and Environment in the Yangtze Basin. 2005(2): 16-18.

Google Scholar

[6] SONG Yong-chang; YOU Wen-hui. Urban Ecology[M]. Changsha: East China normal university press. 2003(7).

Google Scholar

[7] Changsha City Statistics Bureau. 2009 Changsha Statistical Yearbook[M], China Statistics Press, 2009(8).

Google Scholar

[8] ZOU Rong. The City quality and sustainable development evaluation in Changsha City.

Google Scholar