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Applied Computational Intelligence and Soft Computing
Volume 2012 (2012), Article ID 846321, 9 pages
http://dx.doi.org/10.1155/2012/846321
Research Article

Modelling of Water Quality: An Application to a Water Treatment Process

1Department of Environmental Science, University of Eastern Finland, P.O. Box 1627, 70211 Kuopio, Finland
2Finnsugar Ltd., Sokeritehtaantie 20, 02460 Kantvik, Finland

Received 10 October 2011; Revised 19 December 2011; Accepted 25 December 2011

Academic Editor: Cheng-Jian Lin

Copyright © 2012 Petri Juntunen et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The modelling of water treatment processes is challenging because of its complexity, nonlinearity, and numerous contributory variables, but it is of particular importance since water of low quality causes health-related and economic problems which have a considerable impact on people’s daily lives. Linear and nonlinear modelling methods are used here to model residual aluminium and turbidity in treated water, using both laboratory and process data as input variables. The approach includes variable selection to find the most important factors affecting the quality parameters. Correlations of 0.7–0.9 between the modelled and real values for the target parameters were ultimately achieved. This data analysis procedure seems to provide an efficient means of modelling the water treatment process and defining its most essential variables.