Assessing the effect of catchment characteristics to enhanced coagulation in drinking water treatment: RSM models and sensitivity analysis.
Enhanced coagulation
Natural organic matter
Reservoir
River
Surface water
Journal
The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500
Informations de publication
Date de publication:
10 Dec 2021
10 Dec 2021
Historique:
received:
04
05
2021
revised:
09
07
2021
accepted:
28
07
2021
pubmed:
11
8
2021
medline:
21
10
2021
entrez:
10
8
2021
Statut:
ppublish
Résumé
Coagulation is the main process for removing natural organic matter (NOM), considered to be the major disinfection by-products (DBPs) precursor in drinking water production. In this work, k-means clusters analysis were used to classify influent waters from two different surface drinking water treatment plants (DWTPs) located in the Mediterranean region. From this, enhanced coagulation models based on response surface methodology (RSM) were then developed to optimise coagulation at two water catchments (river and reservoir). The cluster analysis classified the water quality of the raw waters into two groups related to baseline and peak organic loads. The developed enhanced coagulation models were based on the turbidity, total organic carbon (TOC) and UV
Identifiants
pubmed: 34375875
pii: S0048-9697(21)04471-5
doi: 10.1016/j.scitotenv.2021.149398
pii:
doi:
Substances chimiques
Drinking Water
0
Water Pollutants, Chemical
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
149398Informations de copyright
Copyright © 2021 The Authors. Published by Elsevier B.V. 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.