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Modeling the formation of trihalomethanes in drinking waters of Lebanon

Show simple item record Semerjian L. Dennis J. Ayoub G.
dc.contributor.editor 2009 2017-10-04T11:04:31Z 2017-10-04T11:04:31Z 2009
dc.identifier 10.1007/s10661-008-0219-4
dc.identifier.issn 1676369
dc.description.abstract The current research aims at developing predictive models for trihalomethane (THM) formation in Lebanon based on field-scale investigations as well as laboratory controlled experimentations. Statistical analysis on field data revealed significant correlations for TTHM with chlorine dose, Specific UV-A, and UV254 absorbing organics. Simulated distribution system-THM tests showed significant correlations with applied chlorine dose, total organic carbon, bromides, contact time, and temperature. Predictive models, formulated using multiple regression approaches, exhibiting the highest coefficients of determination were quadratic for the directly after chlorination (DAC; r2=0.39, p andlt; 0.036) and network (r2=0.33, p andlt; 0.064) THM databases, and logarithmic for the laboratory simulated THM database (r2=0.70, p andlt; 0.001). Computed r2 values implied low correlations for the DAC and network THM database, and high correlation for the laboratory simulated THM database. Significance of the models were at the 0.05 level for DAC database, 0.10 level for the network database, and very high (andlt;0.01 level) for the laboratory simulated THM database. It is noteworthy to mention that no previous attempts to assess, monitor, and predict THM concentrations in public drinking water have been reported for the country although a large fraction of the population consumes chlorinated public drinking water. © Springer Science+Business Media B.V. 2008.
dc.format.extent Pages: (429-436)
dc.language English
dc.publisher DORDRECHT
dc.relation.ispartof Publication Name: Environmental Monitoring and Assessment; Publication Year: 2009; Volume: 149; no. 41643; Pages: (429-436);
dc.source Scopus
dc.title Modeling the formation of trihalomethanes in drinking waters of Lebanon
dc.type Article
dc.contributor.affiliation Semerjian, L., Department of Civil and Environmental Engineering, American University of Beirut, Beirut, Lebanon
dc.contributor.affiliation Dennis, J., Department of Community Health Sciences, University of Calgary, Calgary, AB, Canada
dc.contributor.affiliation Ayoub, G., Department of Civil and Environmental Engineering, American University of Beirut, Beirut, Lebanon
dc.contributor.authorAddress Semerjian, L.; Department of Civil and Environmental Engineering, American University of Beirut, Beirut, Lebanon; email:
dc.contributor.authorCorporate University: American University of Beirut; Faculty: Faculty of Engineering and Architecture; Department: Civil and Environmental Engineering;
dc.contributor.authorDepartment Civil and Environmental Engineering
dc.contributor.authorFaculty Faculty of Engineering and Architecture
dc.contributor.authorInitials Semerjian, L
dc.contributor.authorInitials Dennis, J
dc.contributor.authorInitials Ayoub, G
dc.contributor.authorReprintAddress Semerjian, L (reprint author), Amer Univ Beirut, Dept Civil and Environm Engn, Beirut, Lebanon.
dc.contributor.authorUniversity American University of Beirut
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dc.description.citedCount 2
dc.description.citedTotWOSCount 3
dc.description.citedWOSCount 3
dc.format.extentCount 8
dc.identifier.coden EMASD
dc.identifier.pubmedID 18253848
dc.identifier.scopusID 58549113831
dc.relation.ispartOfISOAbbr Environ. Monit. Assess.
dc.relation.ispartOfIssue 41643
dc.relation.ispartofPubTitle Environmental Monitoring and Assessment
dc.relation.ispartofPubTitleAbbr Environ. Monit. Assess.
dc.relation.ispartOfVolume 149
dc.source.ID WOS:000263159800040
dc.type.publication Journal
dc.subject.otherAuthKeyword Chlorination
dc.subject.otherAuthKeyword Lebanon
dc.subject.otherAuthKeyword Regression modeling
dc.subject.otherAuthKeyword Trihalo methanes
dc.subject.otherChemCAS Trihalomethanes
dc.subject.otherChemCAS Water Pollutants, Chemical
dc.subject.otherIndex Contact time
dc.subject.otherIndex Drinking water
dc.subject.otherIndex Lebanon
dc.subject.otherIndex Multiple regressions
dc.subject.otherIndex Network databases
dc.subject.otherIndex Organics
dc.subject.otherIndex Predictive modeling
dc.subject.otherIndex Regression modeling
dc.subject.otherIndex Simulated distribution system (SDS)
dc.subject.otherIndex Statistical analysis (IGC: E4-K7)
dc.subject.otherIndex Trihalo methanes
dc.subject.otherIndex Bromine compounds
dc.subject.otherIndex Chlorination
dc.subject.otherIndex Digital integrated circuits
dc.subject.otherIndex Fire hazards
dc.subject.otherIndex Laboratories
dc.subject.otherIndex Methane
dc.subject.otherIndex Organic carbon
dc.subject.otherIndex Potable water
dc.subject.otherIndex Predictive control systems
dc.subject.otherIndex Regression analysis
dc.subject.otherIndex Chlorine
dc.subject.otherIndex assessment method
dc.subject.otherIndex bromide
dc.subject.otherIndex chlorination
dc.subject.otherIndex distribution system
dc.subject.otherIndex drinking water
dc.subject.otherIndex experimental study
dc.subject.otherIndex halogenated hydrocarbon
dc.subject.otherIndex modeling
dc.subject.otherIndex regression analysis
dc.subject.otherIndex total organic carbon
dc.subject.otherIndex water supply
dc.subject.otherIndex Environmental Monitoring
dc.subject.otherIndex Humans
dc.subject.otherIndex Lebanon
dc.subject.otherIndex Models, Statistical
dc.subject.otherIndex Seasons
dc.subject.otherIndex Trihalomethanes
dc.subject.otherIndex Water Pollutants, Chemical
dc.subject.otherIndex Water Supply
dc.subject.otherIndex Asia
dc.subject.otherIndex Eurasia
dc.subject.otherIndex Lebanon
dc.subject.otherIndex Middle East
dc.subject.otherKeywordPlus DISINFECTION BY-PRODUCTS
dc.subject.otherKeywordPlus REGRESSION-MODELS
dc.subject.otherKeywordPlus CHLORINATION
dc.subject.otherKeywordPlus EVOLUTION
dc.subject.otherWOS Environmental Sciences

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