Modelling of Water Quality : An Application to a Water Treatment Process
Joint Authors
Hiltunen, Yrjö
Liukkonen, Mika
Juntunen, Petri
Pelo, Marja
Lehtola, Markku J.
Source
Applied Computational Intelligence and Soft Computing
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-03-05
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Juntunen, Petri& Liukkonen, Mika& Pelo, Marja& Lehtola, Markku J.& Hiltunen, Yrjö. 2012. Modelling of Water Quality : An Application to a Water Treatment Process. Applied Computational Intelligence and Soft Computing،Vol. 2012, no. 2012, pp.1-9.
https://search.emarefa.net/detail/BIM-502885
Modern Language Association (MLA)
Juntunen, Petri…[et al.]. Modelling of Water Quality : An Application to a Water Treatment Process. Applied Computational Intelligence and Soft Computing No. 2012 (2012), pp.1-9.
https://search.emarefa.net/detail/BIM-502885
American Medical Association (AMA)
Juntunen, Petri& Liukkonen, Mika& Pelo, Marja& Lehtola, Markku J.& Hiltunen, Yrjö. Modelling of Water Quality : An Application to a Water Treatment Process. Applied Computational Intelligence and Soft Computing. 2012. Vol. 2012, no. 2012, pp.1-9.
https://search.emarefa.net/detail/BIM-502885
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-502885