Experimental Investigation of Trihalomethane Formation and Its Modeling in Drinking Waters

K. Özdemir1,*, Y. Yildirim1, I. Toröz2 and V. Uyak3

1Department of Environmental Engineering Bülent Ecevit University, Zonguldak, Turkey

2Department of Environmental Engineering Istanbul Technical University, Istanbul, Turkey

3Department of Environmental Engineering, College of Engineering, Pamukkale University, Denizli, Turkey

*Corresponding author: Fax: +90 372 2574023; Tel: +90 372 2574010/1135; E-mail: kadirozdemir73@yahoo.com


This research developed models using multiple linear regression analysis for the prediction of trihalomethane formation in coagulated Istanbul drinking water sources. The power-law model (model 1), using only DUV272 as the designed parameter, proved the best model to describe the formation of trihalomethane. The other model (model 2), included pH, total organic carbon, chlorine dosages, ultraviolet absorbance at 254 nm (UV254), specific ultraviolet absorbance (SUVA) and differential absorbance at 272 nm (DUV272). The root-mean-square error (RMSE), normalization mean square error (NMSE), regression coefficient (R2) and index of agreement (IA) were used as statistical variables to evaluate the model performance. The better prediction results were obtained by model 1 for root-mean-square error, normalization mean square error, R2 and index of agreement as 9.14, 0.015, 0.95 and 0.99, respectively.


Drinking water, Trihalomethane, Differential absorbance at 272 nm (DUV272), Modeling.

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