Influence of granular activated carbon media properties on natural organic matter and disinfection by-product precursor removal from drinking water.


Journal

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

Informations de publication

Date de publication:
01 May 2020
Historique:
received: 10 10 2019
revised: 05 02 2020
accepted: 10 02 2020
pubmed: 25 2 2020
medline: 25 3 2020
entrez: 25 2 2020
Statut: ppublish

Résumé

Operational and financial constraints challenge effective removal of natural organic matter (NOM), and specifically disinfection by-product (DBP) precursors, at remote and/or small sites. Granular activated carbon (GAC) is a widely used treatment option for such locations, due to its relatively low maintenance and process operational simplicity. However, its efficacy is highly dependent on the media capacity for the organic matter, which in turn depends on the media characteristics. The influence of GAC media properties on NOM/DBP precursor removal has been studied using a range of established and emerging media using both batch adsorption tests and rapid small-scale column tests. DBP formation propensity (DBPFP) was measured with reference to trihalomethanes (THMs) and haloacetic acids (HAAs). All GAC media showed no selectivity for specific removal of precursors of regulated DBPs; DBP formation was a simple function of residual dissolved organic carbon (DOC) levels. UV

Identifiants

pubmed: 32092546
pii: S0043-1354(20)30149-4
doi: 10.1016/j.watres.2020.115613
pii:
doi:

Substances chimiques

Drinking Water 0
Trihalomethanes 0
Water Pollutants, Chemical 0
Charcoal 16291-96-6

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

115613

Informations de copyright

Copyright © 2020 Elsevier Ltd. All rights reserved.

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

D M Golea (DM)

Cranfield Water Science Institute, Cranfield University, Bedfordshire, UK.

P Jarvis (P)

Cranfield Water Science Institute, Cranfield University, Bedfordshire, UK.

B Jefferson (B)

Cranfield Water Science Institute, Cranfield University, Bedfordshire, UK.

G Moore (G)

Scottish Water, Edinburgh, Scotland, UK.

S Sutherland (S)

Scottish Water, Edinburgh, Scotland, UK.

S A Parsons (SA)

Scottish Water, Edinburgh, Scotland, UK.

S J Judd (SJ)

Cranfield Water Science Institute, Cranfield University, Bedfordshire, UK. Electronic address: s.j.judd@cranfield.ac.uk.

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Classifications MeSH