Trihalomethane species model for drinking water supply systems.

Bromoform Chlorine Chloroform Dibromo-chloroform Dichloro-bromoform Model Natural organic matter THM THM species Water supply system

Journal

Water research
ISSN: 1879-2448
Titre abrégé: Water Res
Pays: England
ID NLM: 0105072

Informations de publication

Date de publication:
01 Oct 2020
Historique:
received: 17 01 2020
revised: 10 07 2020
accepted: 15 07 2020
pubmed: 28 7 2020
medline: 12 11 2020
entrez: 28 7 2020
Statut: ppublish

Résumé

Despite the existence of significant knowedge on complex mechanisms of THM formation, a simple kinetic model to predict THM species concentration is not available, hindering application of knowlwdge for regulatory, monitoring and operational control. The parallel second order reaction (2R) model containing fast and slow reactants has been well established to describe the chlorine decay kinetics under distribution conditions. The proposed THM species model expands the 2R model by systematically incorporating the initial unproductive (not forming THM) chlorine consumption and assuming each THM species is formed at a fixed yield (µg-THM species/mg- productive chlorine consumption). The model concept is tested on 15 water samples that contain a wide range of dissolved organic carbon, specific UV absorbence, and bromide concentrations collected from Australia and US. In all samples, the model describes the THM species concentrations well (error < 3 µg/L in 84% of model estimates) as long as the chlorine profile is described accurately (R

Identifiants

pubmed: 32717495
pii: S0043-1354(20)30726-0
doi: 10.1016/j.watres.2020.116189
pii:
doi:

Substances chimiques

Drinking Water 0
Trihalomethanes 0
Water Pollutants, Chemical 0
Chlorine 4R7X1O2820

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

116189

Informations de copyright

Copyright © 2020. Published by Elsevier Ltd.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Arumugam Sathasivan (A)

School of Engineering, Engineering and Mathematics, Western Sydney University, NSW 2751, Australia. Electronic address: s.sathasivan@westernsydney.edu.au.

George Kastl (G)

School of Engineering, Engineering and Mathematics, Western Sydney University, NSW 2751, Australia. Electronic address: g.kastl@westernsydney.edu.au.

Shashika Korotta-Gamage (S)

School of Engineering, Engineering and Mathematics, Western Sydney University, NSW 2751, Australia. Electronic address: s.korottagamage@westernsydney.edu.au.

Varuni Gunasekera (V)

School of Engineering, Engineering and Mathematics, Western Sydney University, NSW 2751, Australia. Electronic address: 18503193@student.westernsydney.edu.au.

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Classifications MeSH