One of the common quality parameters for drinking water is residual aluminium. High doses of residual aluminium in drinking water or water used in the food industry have been proved to be at least a minor health risk or even to increase the risk of more serious health effects, and cause economic losses to the water treatment plant. In this study, the trend index is developed from scaled measurement data to detect a warning of changes in residual aluminium level in drinking water. The scaling is based on monotonously increasing, non-linear functions, which are generated with generalized norms and moments. Triangular episodes are classified with the trend index and its derivative. The severity of the situations is evaluated by deviation indices. The trend episodes and the deviation indices provide good tools for detecting changes in water quality and for process control.
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Research Article|
December 27 2013
Drinking water quality monitoring using trend analysis
Jani Tomperi;
1University of Oulu, Control Engineering Laboratory, P.O. Box 4300, FIN-90014 University of Oulu, Finland
E-mail: [email protected]
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Esko Juuso;
Esko Juuso
1University of Oulu, Control Engineering Laboratory, P.O. Box 4300, FIN-90014 University of Oulu, Finland
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Mira Eteläniemi;
Mira Eteläniemi
2Finnsugar Ltd, Sokeritehtaantie 20, FI-02460 Kantvik, Finland
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Kauko Leiviskä
Kauko Leiviskä
1University of Oulu, Control Engineering Laboratory, P.O. Box 4300, FIN-90014 University of Oulu, Finland
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J Water Health (2014) 12 (2): 230–241.
Article history
Received:
April 15 2013
Accepted:
October 12 2013
Citation
Jani Tomperi, Esko Juuso, Mira Eteläniemi, Kauko Leiviskä; Drinking water quality monitoring using trend analysis. J Water Health 1 June 2014; 12 (2): 230–241. doi: https://doi.org/10.2166/wh.2013.075
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