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Article summary:

Abstract Nikolaou AD, Arhonditsis G, Kolovoyiannis V, Golfinopoulos SK, Lekkas TD:
"Determination, interpretation and modeling of chlorination by-products concentrations in surface waters",
In CEST2003: 658-665, (Sep 2003)


Keywords   chlorination by-products, multifactor analysis of variance, principal component analysis, multiple regression models
Abstract   Bench-scale chlorination experiments have been conducted in surface waters from different sources in Mytilene island, Greece, in order to investigate the formation of chlorination by-products (CBPs). The main factors studied were organic matter content of water (expressed as UV-272 absorbance), time and chlorine dose. The CBPs, determined by gas chromatographic techniques, belong to the categories of trihalomethanes (THMs), haloacetic acids (HAAs), haloacetonitriles, chloral hydrate and chloropicrin. HAAs and THMs were the most abundant CBPs detected in the chlorinated samples, while haloketones, haloacetonitriles and chloral hydrate occurred at much lower concentrations. Different speciation of CBPs was observed in regard to the water quality characteristics. Increase in chlorine dose resulted in formation of higher concentrations of CBPs in all cases. However, the influence of reaction time was different on different categories of CBPs, with longer reaction time resulting in higher concentrations of THMs and HAAs, but in lower concentrations of haloketones and haloacetonitriles. Statistical analysis of the results with multifactor analysis of variance (MANOVA) revealed the influence of the parameters studied on the formation of individual compounds. Application of principal component analysis (PCA) provided a clear picture of the differentiations between varying water sources and chlorination conditions. Multiple regression was used for development of predictive models for CBPs formation. The proposed models are considered satisfactory for prediction of CBPs concentrations for water sources and chlorination conditions similar to those examined.
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Included Refrences   12 References (List...)
Cited by other Articles   1 Citations (List...)

Authors:

 5 records found.
Name Affiliation Home page e-mail Total pubs 
Arhonditsis GUniversity of the Aegean, Dept. of Environmental Studies  3
Golfinopoulos SKDepartment of Financial and Management Engineering, University of the Aegean, Fostini 31, 82100 Chios, Greece  sgolf@env.aegean.gr25
Kolovoyiannis V   3
Lekkas TDUniversity of the Aegean, Dept. of Environmental Studieshttp://www.tlekkas.gr/vlekkas@aegean.gr71
Nikolaou ADDepartment of Marine Sciences, University of the Aegean, University Hill, 81100 Mytilene, Greece nnikol@aegean.gr44

Article is cited by:

 1 record found.
Pub Type Full Citation  
JournalGolfinopoulos SK, Nikolaou AD:
"Formation of DBPs in the drinking water of Athens, Greece: A ten-year study",
Global NEST Journal 7 (1) : 106-118 (Mar 2005)
Summary

References included in article:

 12 records found.
Order of appearence Full citation SRCosmos Link 
1Nikolaou A, Kostopoulou M, Lekkas T,
(1999), 'Organic By-products of Drinking Water Chlorination: a Review'. GNEST The Int.J. ,1, 143-156.
SRCosmos
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(2002), ‛Application of different analytical methods for determination of volatile chlorination by-products in drinking water', Talanta, 56, 717-726.
 
8Nikolaou A, Golfinopoulos S, Kostopoulou M, Lekkas T,
(2002), ‛Determination of haloacetic acids in water by acidic methanol esterification-GC-ECD method', Wat. Res., 36,1089-1094.
 
9Zar JH,
(1984), ‛Biostatistical analysis', Prentice-Hall Inc, Englewood Cliffs, New Jersey.
 
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(1984), ‛The Interpretation of Ecological Data: a primer on classification and ordination', John Wiley and Sons, New York, 133-175.
 
11Golfinopoulos SK, Xylourgidis NK, Kostopoulou MN, Lekkas TD,
(1998), ‛Use of a multiple regression model for predicting trihalomethane formation', Wat. Res., 32, 2821-2829.
 
12Nikolaou A, Arhonditsis G, Golfinopoulos S, Lekkas T,
(2002), ‛Predicting the formation of trihalomethanes and haloacetic acids in surface waters by linear regression models', Epidemiology, 13, 172.