Experimental investigation of trihalomethane formation and its modeling in drinking waters

K. Özdemir*, Y. Yildirim, I. Toröz, V. Uyak

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1 Atıf (Scopus)

Özet

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 ΔUV272 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 (ΔUV272). The root-meansquare 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.

Orijinal dilİngilizce
Sayfa (başlangıç-bitiş)984-990
Sayfa sayısı7
DergiAsian Journal of Chemistry
Hacim27
Basın numarası3
DOI'lar
Yayın durumuYayınlandı - 2015

Bibliyografik not

Publisher Copyright:
© 2015, Chemical Publishing Co. All rights reserved.

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