E3S Web Conf.
Volume 150, 2020The Seventh International Congress “Water, Waste and Environment” (EDE7-2019)
|Number of page(s)||7|
|Section||Natural Resources Management|
|Published online||12 February 2020|
Modeling using experimental design method of the physicochemical parameters of the water quality in Meknes city, Morocco
1 Laboratoire d'atomique, mécanique, photonique et d'énergie, Faculté des sciences, Université Moulay Ismail, Département de physique, Meknès Maroc
2 Laboratoire de physique de la matière condensée et des énergies renouvelables, Faculté des sciences et des technologies, Département de physique, Mohammedia, Maroc
3 Laboratoire de Génie des Procédés et Environnement, Faculté des sciences et des technologies, Département de génie des procédés et de l'environnement, Mohammedia Maroc
This study was focused on the characterization of physicochemical parameters of drinking water, which are mainly involved during water treatment or analysis processes. we were interested in the application of the experimental design methodology, according to the method of Yates on the parameters that characterize the quality of drinking water in Meknes, Morocco. Six factors have been identified to control this quality. The influence of these parameters on the responses accommodated at the exit was highlighted. The derivation of a theoretical model has been realized and a series of experiments was performed. The analysis of our results, based on a statistical approach, was presented and the parameters that have a significant influence on the outputs have been identified. From these results, we can conclude that the input factors such as hardness, pH, conductivity, residual chlorine and turbidity have a large influence on measured output response (pHs). Moreover, the theoretical and experimental results are very convergent which validate our studied model.
Key words: ANOVA / Conductivity / Hardness, pH / Total Chlorine / Turbidity
© The Authors, published by EDP Sciences 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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