Occurrence of THMs and HAAs in experimental chlorinated waters of the Quebec City area (Canada)

Sérodes, Jean; Rodrı́guez, Manuel J.; Li, Hanmei; Bouchard, Christian

doi:10.1016/s0045-6535(02)00840-8

Cited by 105 publications

(66 citation statements)

References 17 publications

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“…Previous studies found that TOC concentration and by-products generation after disinfection has a good linear relationship [22]. Therefore, THM and AOX production in the effluent under different working conditions are mainly related to the removal rate of organic matters.…”

Section: Removal Effect Of Dbps and Aoxmentioning

confidence: 97%

Test Study of Enhanced Coagulation for Conventional Treatment with Low Temperature and Low Turbidity

SONG¹,

LI²,

SUN³

et al. 2015

JRST

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Sole use of polymeric aluminum ferric chloride (PAFC) and its combination with composite polymeric aluminum ferric chloride/poly-dimethyl-diallyl-ammonium chloride coagulant (PAFC-PDMDAAC), chlorine dioxide (ClO 2 ) and composite potassium permanganate (PPC) were tested for treating retrieved water from the Yellow river during the period of low temperature and low turbidity. Such tests were carried out under full load operation in a water plant with conventional process. Results showed that the combined use of PPC and PAFC-PDMDAAC was more effective in treating influent with low temperature and low turbidity than the other coagulants. The turbidity, oxygen consumption, total trihalomethanes (THM) and absorbable organic halogens (AOX) in the effluent were compared with effluent under the sole treatment of PAFC, reduced by 76.8%, 14.2%, 60.8% and 19.4%, respectively. The operation cost, however, was only increased by 0.024 yuan/m 3 , denoting that it is a cost-effective method.

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Section: Removal Effect Of Dbps and Aoxmentioning

confidence: 97%

Test Study of Enhanced Coagulation for Conventional Treatment with Low Temperature and Low Turbidity

SONG¹,

LI²,

SUN³

et al. 2015

JRST

View full text Add to dashboard Cite

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“…The R 2 value 0.484 shows poor correlation, while predicting the THMs concentration in drinking water in the present study area, the prediction range was varied minimum 17.53 to maximum 52.64, which implies that this model cannot be used in the proposed study area. The results also revealed that model developed by Serodes et al (2003) not incorporated the pH as well as more surrogates of natural organic matter, which reduces the performance of model in another part. The present study area has high content of aromatic content in water, which requires a valid training and testing of the data with present conditions.…”

Section: Prediction Of Thms Concentration By Single Surrogates Of Nommentioning

confidence: 99%

“…Prediction of THMs is also carried out by the model developed by Serodes et al (2003), the model used for prediction of THM concentration was made by the regression method through bench-scale chlorination experiments using treated water (prior to final chlorination) from three major drinking water utilities in Quebec (Canada). The R 2 value 0.484 shows poor correlation, while predicting the THMs concentration in drinking water in the present study area, the prediction range was varied minimum 17.53 to maximum 52.64, which implies that this model cannot be used in the proposed study area.…”

Section: Prediction Of Thms Concentration By Single Surrogates Of Nommentioning

confidence: 99%

Modeling and characterization of natural organic matter and its relationship with the THMs formation

2016

Global NEST Journal

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Natural organic matter (NOM) has been identified as the prominent precursor for disinfection by-products (DBPs) formation during chlorination. Various studies have suggests that the characteristics of NOM influence the Trihalomethanes (THMs) formation potential to the large extent. The present study represents the NOM characterisation in terms of total organic carbon (TOC), dissolved organic carbon (DOC), UV absorbance at 254 nm wavelengths (UV254) and specific ultraviolet absorbance (SUVA) to investigate the effect of NOM on THMs formation mechanism. The high rate of dependency was observed for each representative of NOM with respect to water quality characteristics and operational condition of disinfection process. In this study, values of SUVA and UV254 have been drastically reduced with respect to variable chlorine dose which represent the significance of chlorine contact is more predominant with hydrophobic fractions of NOM. The value of SUVA is decreasing with respect to temperature and reaction time, which reveled higher rate of utilization for hydrophobic fractions of NOM. Predictive modeling approach was carried out using multiple regression analysis with the combination of two surrogates at each stage of modeling with help of operational condition of disinfection process and water quality characteristics. The R 2 value of the model was found in the range of 0.927 to 0.937 from the developed model and thus present model could be recommended for prediction of THMs in drinking water.

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“…Correlation between total THM and HAA was examined ( Figure 5) through simple linear regression analysis introducing total THM levels as the independent variable, and total HAA level as the dependent variable. There were some studies indicating good correlations between THMs and HAAs (Villanueva et al, 2003;Serodes et al, 2003;Ates et al, 2007) as well as studies presuming that THMs were not good indicators of HAAs (Malliarou et al, 2005). It is obvious that to be able to make such an inference, the pH and initial compositions should be considered separately.…”

Section: Thms-haas Correlationmentioning

confidence: 99%

DBP formation and speciation in a central anatolian dam water depending on pH, TOC level, fraction and chlorine dose

2013

Global NEST Journal

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The effects of pH, NOM concentration, fractions and the chlorine dose on the formation and speciation of THMs and HAAs were determined in Altinapa Dam water (Konya/Turkey). Water sample was isolated and chlorinated at different TOC levels and pH's. The isolate was fractioned; THM and HAA species were measured after chlorination. THM increased with increasing pH (6 to 8) whereas a consistent pH tendency could not be inferred from the HAA changes. CF is the dominant THM specie which exerts up to 91% of the total THM. The majority of total HAAs composed of MCAA, DCAA and TCAA. The hydrophobic fraction was the main THM precursor under the studied conditions although their percentage was lower than hydrophilics, whereas, hydrophilic fraction had significant contribution to HAA formation, in contrast to the general tendency for HAA. High correlation (0.97) was calculated between total THMs and HAAs.KEYWORDS: Natural organic matter, fractionation, trihalomethanes, haloacetic acids, chlorination. INTRODUCTIONNatural organic matter (NOM) exists in all surface waters and groundwaters as a result of complex biotic and abiotic reactions. The application of disinfectants to drinking water reduces the microbial risk but possess chemical risk in the form of disinfection by-products (DBPs) by reactions between dissolved portion of NOM and disinfectant. Applied chlorine rapidly hydrolyses and so formed hypochlorous acid (HOCl) undergoes subsequent reactions resulting in the formation of DBPs. There has been an increasing concern about DBPs since Rook (1974) and Bellar and Lichtenberg (1974). Although there are various identified halogenated DBPs, trihalomethanes (THMs) and haloacetic acids (HAAs) are the most common DBPs which are carcinogenic and potentially hazardous to human health. There are a lot of limitations imposed by EPA, EU and WHO for DBPs. Maximum limits has been decreased in recent revisions.

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Occurrence of THMs and HAAs in experimental chlorinated waters of the Quebec City area (Canada)

Cited by 105 publications

References 17 publications

Test Study of Enhanced Coagulation for Conventional Treatment with Low Temperature and Low Turbidity

Test Study of Enhanced Coagulation for Conventional Treatment with Low Temperature and Low Turbidity

Modeling and characterization of natural organic matter and its relationship with the THMs formation

DBP formation and speciation in a central anatolian dam water depending on pH, TOC level, fraction and chlorine dose

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