Modelling disinfection by-products formation in bromide-containing waters

Fabbricino, Massimiliano; Korshin, Gregory V.

doi:10.1016/j.jhazmat.2009.02.078

Cited by 26 publications

(12 citation statements)

References 30 publications

(41 reference statements)

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“…These values of the free residual chlorine did not decrease markedly after 60 min of subsequent reaction (the experimental time was about 90 min). This is in agreement with the fact of most THM growth rate was higher during the first 69-90 min (Korshin et al 2002;Fabbricino and Korshin 2005;Fabbricino and Korshin 2009). …”

Section: Laboratory Simulation Of a Water Disinfection Processsupporting

confidence: 90%

Factorial analysis of the trihalomethane formation in the reaction of colloidal, hydrophobic, and transphilic fractions of DOM with free chlorine

Platikanov

Tauler

Rodrigues

et al. 2010

Environ Sci Pollut Res

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Assuming that this study represents a local case study, similar experiments can be easily applied and will supply with relevant information every local water treatment plant meeting problems with THM formation. The coagulation/flocculation and the filtration stages are the main mechanisms to remove DOM, particularly the colloidal DOM fraction. With the objective to minimize THMs generation, different unit operation designed to quantitatively remove DOM from water must be optimized.

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Section: Laboratory Simulation Of a Water Disinfection Processsupporting

confidence: 90%

Factorial analysis of the trihalomethane formation in the reaction of colloidal, hydrophobic, and transphilic fractions of DOM with free chlorine

Platikanov

Tauler

Rodrigues

et al. 2010

Environ Sci Pollut Res

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“…A number of models have been developed to predict chlorine decay in cooling discharge systems [15][16][17]. The most popular model is the first-order decay model in which the chlorine concentration is assumed to decay exponentially.…”

Section: Model Developmentmentioning

confidence: 99%

Development of a Site-Specific Kinetic Model for Chlorine Decay and the Formation of Chlorination By-Products in Seawater

Saeed

Prakash²,

Deb

et al. 2015

JMSE

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Chlorine is used commonly to prevent biofouling in cooling water systems. The addition of chlorine poses environmental risks in natural systems due to its tendency to form chlorination by-products (CBPs) when exposed to naturally-occurring organic matter (NOM). Some of these CBPs can pose toxic risks to aquatic and benthic species in the receiving waters. It is, therefore, important to study the fate of residual chlorine and CBPs to fully understand the potential impacts of chlorination to the environment. The goal of this study was to develop improved predictions of how chlorine and CBP concentrations in seawater vary with time, chlorine dose and temperature. In the present study, chlorination of once-through cooling water at Ras Laffan Industrial City (RLIC), Qatar, was studied by collecting unchlorinated seawater from the RLIC cooling water system intake, treating it with chlorine and measuring time series of chlorine and CBP concentrations. Multiple-rate exponential curves were used to represent fast and slow chlorine decay and CBP formation, and site-specific chlorine kinetic relationships were developed. Through extensive analysis

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“…Both articles provide a chronological summary of existing models demonstrating that several of the models were capable of generating linear correlations (R 2 ) > 0.90 based on results from their respective studies. In addition to the handful of review articles, many of the publications are research articles that discuss the development of new models for total THMs (TTHMs or THM4) (Morrow and Minear, 1987;Golfinopoulos and Arhonditsis, 2002;Hong et al, 2007), HAAs Sohn et al, 2004), brominated THM and HAA species (Siddiqui et al, 1998;Fabbricino and Korshin, 2009;Chowdhury et al, 2010), and unregulated and emerging classes of DBPs (Chen and Westerhoff, 2010). However, many of the models are not applicable to a wide range of source waters because of the experimental design or methodology involved in the model formulation.…”

Section: Background On Dbp Modelingmentioning

confidence: 99%