Critical Study of Multiple Regressions Modelling for Monitoring of Haloacetic Acids in Water Reservoirs

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• 作者：Sadia Ata ; Feroza Hamid Wattoo…
• 关键词：Drinking water ; Multiple regression modelling ; Haloacetic acids
• 刊名：Arabian Journal for Science and Engineering
• 出版年：2015
• 出版时间：January 2015
• 年：2015
• 卷：40
• 期：1
• 页码：101-108
• 全文大小：1,236 KB
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• 刊物类别：Engineering
• 刊物主题：Engineering, general
  Mathematics
  Science, general
  
• 出版者：Springer Berlin / Heidelberg

文摘

Haloacetic acids are disinfection by-products formed during oxidation of natural water. In this study, linear and nonlinear models were developed based on field-scale investigations. These statistical models were applied to predict the formation of haloacetic acids in the treated water. Pearson’s correlation was used to check significance of raw water determinants at the probability of 0.05. Multiple forward stepwise regression method was used to develop these models which were then validated using another set of results from the identical source. These predicted results show that linear model was better fit than nonlinear model. A plot of predicted and measured values showed that the Pearson’s coefficient and the slope were in good agreement. The developed models can thus be used to reduce the occurrence of haloacetic acids in treated water by means of regulating the raw water quality used for the treatment plant.