Research on Influential Factors and Trends of the Enterprise to Reduce Emissions in Nanjing City Using Gray Methods

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Abstract:

In order to answer following two questions, One is the influence factors and the influence degree of Nanjing enterprise emission reduction,Another is in the future five years Nanjing City enterprise COD and SO2 emissions trend prediction. This paper begins with a qualitative analysis of factors affecting enterprise emission reduction in Nanjing City, resulting in the classification of these factors according to their importance and significance by using the Grey Correlation Analysis method; Based on the fact that enterprise emission reduction in Nanjing system is gray, this paper established the Grey forecasting model GM (1, 1), 2011 ~ 2015 Nanjing enterprise COD and SO2 emissions was forecast. This paper studies showed that Nanjing emission reduction is the basic health; As long as continue to strengthen the work of emission reduction, in the next five years, Nanjing enterprise COD and SO2's total emissions will continue to decline.

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Periodical:

Advanced Materials Research (Volumes 361-363)

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1673-1678

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October 2011

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] J.L. Deng: Grey Theory basis, Huazhong University of Science and Technology Publising, Wuhan (2002), In Chinese.

Google Scholar

[2] S.F. Liu, S.M. Xie: The Grey system theory and its application (fifth edition), Science Publising, Beijing (2008), In Chinese.

Google Scholar

[3] G.Wang, M.S. Wang: Modern mathematical modeling method, Science Publising, Beijing (2010).

Google Scholar

[4] G.Wang,T.Xi, Journal of Nanjing University of Finance and Econoics, Vol. 1(2010), p.14, In Chinese.

Google Scholar

[5] G.Wang, Journal of Nanjing University of Finance and Econoics, Vol. 3(2005), p.30, In Chinese.

Google Scholar

[6] Data Information on http://www.njhb.gov.cn

Google Scholar