A kinetic model capable of simulating by-products formation in bromide-containing waters during disinfection processes is presented in this paper. The model is based on two parallel sequences of incorporation and oxidation reactions induced by bromine or chlorine reacting with NOM. Each sequence starts from a different type of NOM functionality that has its own set of specific reaction rate. Decay reactions of NOM and halogenated intermediates are assumed to follow a first order kinetic, while DBP generation reactions are simulated introducing so-called splitting coefficients. This approach allows obtaining explicit expressions for DBP species. Model’s results are compared with experimental data obtained for coastal seawater samples. Comparison of the data confirm the model’s ability to predict DBPs formation with high precision
Modelling NOM Halogenation in Bromide-Containing Waters / Fabbricino, Massimiliano; Korshin, G. V.; D'Antonio, Giuseppe. - ELETTRONICO. - (2008), pp. 166-173. (Intervento presentato al convegno SIDISA 08 International Symposium on Sanitary and Environmental Engineering tenutosi a Firenze (ITALY) nel 24-27 June).
Modelling NOM Halogenation in Bromide-Containing Waters
FABBRICINO, MASSIMILIANO;D'ANTONIO, GIUSEPPE
2008
Abstract
A kinetic model capable of simulating by-products formation in bromide-containing waters during disinfection processes is presented in this paper. The model is based on two parallel sequences of incorporation and oxidation reactions induced by bromine or chlorine reacting with NOM. Each sequence starts from a different type of NOM functionality that has its own set of specific reaction rate. Decay reactions of NOM and halogenated intermediates are assumed to follow a first order kinetic, while DBP generation reactions are simulated introducing so-called splitting coefficients. This approach allows obtaining explicit expressions for DBP species. Model’s results are compared with experimental data obtained for coastal seawater samples. Comparison of the data confirm the model’s ability to predict DBPs formation with high precisionFile | Dimensione | Formato | |
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