Mathematical Models for Analysis of Water Pollution

Article Preview

Abstract:

The water qualityr was considered by multiple regression analysis. The linear relationship between integrated pollution index and weight pollution index were obtained, the 5 day biochemical oxygen demanded and total nitrogen were the most important pollution factor by the relationship. And then, the two main components influencing water quality were given based on the principal component analysis affecting data..

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1941-1947

Citation:

Online since:

October 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Huixuan Gao, Applied Multivariate Statistical Analysis [M]. Beijing University Publishing House, 2005, 419

Google Scholar

[2] Jimang Guo, Multivariate Statistical Analysis Based on the Assessment of the Status of the Water Pollution[J], Journal of Anhui Agri Sci, 2009, 3(21)10121-10122.

Google Scholar

[3] XiaopengWang, Application of Multivariate Statistical Analysis to Assessing Synthetically Polluting Status of Rivers[J.Systems Engineering –Theory & Practice,2001, 21(9)118-123.

Google Scholar

[4] Zhixiang Zhang, Xiaohua Lu, Chemometric research on water evaluation of hanjiang river[J], Environmental Monitoring in China 2004,20(1), 48-51

Google Scholar

[5] Zhongshun Liu, Non-parameter statistics and SPSS software applications[M]. Wuhan University Publishing House, 2008, 5245

Google Scholar