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  • 标题:Modeling using experimental design method of the physicochemical parameters of the water quality in Meknes city, Morocco
  • 本地全文:下载
  • 作者:Ghariba Bouazza ; Mohammed Assou ; Salah Souabi
  • 期刊名称:E3S Web of Conferences
  • 印刷版ISSN:2267-1242
  • 电子版ISSN:2267-1242
  • 出版年度:2020
  • 卷号:150
  • 页码:1-7
  • DOI:10.1051/e3sconf/202015001005
  • 出版社:EDP Sciences
  • 摘要: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.
  • 其他摘要: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.
  • 其他关键词:ANOVA ; Conductivity ; Hardness, pH ; Total Chlorine ; Turbidity
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