Benchmarking empirical models for THMs formation in drinking water systems: An application for decision support in Barcelona, Spain.
Drinking water
Electrodialysis reversal
Environmental decision support system
Management
Modelling
Trihalomethanes
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:
01 Apr 2021
01 Apr 2021
Historique:
received:
20
05
2020
revised:
12
11
2020
accepted:
29
11
2020
pubmed:
1
1
2021
medline:
26
1
2021
entrez:
31
12
2020
Statut:
ppublish
Résumé
Drinking water treatment plants (DWTPs) face changes in raw water quality, which affect the formation of disinfection by-products. Several empirical modelling approaches have been reported in the literature, but most of them have been developed with lab-scale data, which may not be representative of real water systems. Therefore, the application of these models for real-time operation of DWTPs might be limited. At the present study, multiple linear regression (MLR) and multi-layer perceptrons (MLP) were benchmarked using field-scale data for predicting the THMs formation in a case-study DWTP in Barcelona, Spain. After fitting the studied models, MLR exhibited good fit with the validation data set (R
Identifiants
pubmed: 33383504
pii: S0048-9697(20)37728-7
doi: 10.1016/j.scitotenv.2020.144197
pii:
doi:
Substances chimiques
Drinking Water
0
Trihalomethanes
0
Water Pollutants, Chemical
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
144197Informations de copyright
Copyright © 2020 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.