Numerical Measurement and Data Processing of Air Pollution

Article Preview

Abstract:

Relational analysis method was a data process method used to sort out the correlation extent of effect factors in a system with uncertain information. Common mathematical methods were not applicable for describing the relationship. A new method, equivalent numerical relational degree (ENRD) model was developed to evaluate the effect of different factors on air pollution. The effects of different factors-the port throughput, amount of coal, industrial output, and motor vehicle ownership, investment in fixed assets, real estate development and construction of housing construction area on the quality of atmospheric environment were studied. The degrees of correlation were calculated according to ENRD and the values of the port throughput, amount of coal, industrial output, motor vehicle ownership, investment in fixed assets, real estate development and construction of housing construction area were 0.7947, 0.7943, 0.7289, 0.7238, 0.6702 and 0.6527, respectively. From these values, the relations of these factors to the quality of atmospheric environment could be described and evaluated, and the port throughput and amount of coal were relatively major.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1219-1222

Citation:

Online since:

July 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] I.T.S. Yu, Y.H. Zhang, W.W.S. Tam, Q.H. Yan and Y.J. Xu: Atmospheric Environment, Vol. 46 (2012), p.528.

Google Scholar

[2] G.W. Pan, S.J. Zhang and Y.P. Feng: Respiratory Medicine, Vol. 104 (2010), p. (1903).

Google Scholar

[3] F.X. Li and W.M. Gao: International Conference on Remote Sensing, Environment and Transportation Engineering, Vol. 2 (2013), p.312.

Google Scholar

[4] B.J. Yao, Y.X. Liu and J. Cheng: 2011 International Conference on Green Energy and Environmental Sustainable Development, Jilin, p.908.

Google Scholar

[5] W. Dai: Journal of EMCC, Vol. 23 (2013), p.51.

Google Scholar