Modelling and prediction of the effect of operational parameters on the fate of contaminants of emerging concern in WWTPs.


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:
15 Jan 2023
Historique:
received: 05 04 2022
revised: 08 09 2022
accepted: 29 09 2022
pubmed: 7 10 2022
medline: 24 11 2022
entrez: 6 10 2022
Statut: ppublish

Résumé

Wastewater treatment plants (WWTPs) provide a barrier against the discharge of contaminants of emerging concern (CECs) into the environment. The removal of CECs is highly WWTP-specific and the underlying mechanisms are still poorly understood, hampering the optimization of biological treatment steps for their removal. To fill this knowledge gap, we assessed the influence of four operational parameters of activated sludge biological treatment, namely total suspended solids, temperature, pH and redox conditions, on the sorption and biodegradation of four CECs under controlled laboratory conditions. Design of Experiments was used to better address the factors influencing CECs removal and interactions among operational parameters. The derived statistical models showed results in concordance with previous studies and indicated how sorption and biodegradation of the investigated CECs depend on most tested parameters and few of their interactions. The predictions of the developed models have been compared with literature values, indicating how the tested parameters are responsible for most of the variability of sorption, while they could not reliably generalize biodegradation rates. The developed models were also implemented as an extension of a mechanistic biological treatment model, successfully describing the dynamic behaviour of a large-scale WWTP, which was observed during a three-day continuous monitoring campaign. Compared to a traditional modelling approach, the one including the developed models showed on average almost a three-fold uncertainty reduction, favouring its use to aid WWTP managers and regulators for improved assessment of CEC fate and removal. Finally, the models highlighted that, while higher temperatures and solids concentrations generically favoured CECs removal, removal efficiency vary significantly due to operational parameters and no globally optimum conditions for CECs removal exist. The use of these models opens the door to the combined dynamic management of both traditional contaminants and CECs in WWTPs.

Identifiants

pubmed: 36202354
pii: S0048-9697(22)06299-4
doi: 10.1016/j.scitotenv.2022.159200
pii:
doi:

Substances chimiques

Waste Water 0
Water Pollutants, Chemical 0
Sewage 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

159200

Informations de copyright

Copyright © 2022 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.

Auteurs

Marco Gabrielli (M)

Politecnico di Milano, Department of Civil and Environmental Engineering (DICA), Piazza Leonardo da Vinci 32, 20133 Milano, Italy.

Riccardo Delli Compagni (R)

Politecnico di Milano, Department of Civil and Environmental Engineering (DICA), Piazza Leonardo da Vinci 32, 20133 Milano, Italy.

Lucia Gusmaroli (L)

Catalan Institute for Water Research (ICRA-CERCA), C. Emili Grahit 101, 17003 Girona, Spain; Universitat de Girona, Plaça de Sant Domènec, 3, 17004 Girona, Spain.

Francesca Malpei (F)

Politecnico di Milano, Department of Civil and Environmental Engineering (DICA), Piazza Leonardo da Vinci 32, 20133 Milano, Italy.

Fabio Polesel (F)

DHI A/S, Agern Allé 5, 2970 Hørsholm, Denmark.

Gianluigi Buttiglieri (G)

Catalan Institute for Water Research (ICRA-CERCA), C. Emili Grahit 101, 17003 Girona, Spain; Universitat de Girona, Plaça de Sant Domènec, 3, 17004 Girona, Spain.

Manuela Antonelli (M)

Politecnico di Milano, Department of Civil and Environmental Engineering (DICA), Piazza Leonardo da Vinci 32, 20133 Milano, Italy.

Andrea Turolla (A)

Politecnico di Milano, Department of Civil and Environmental Engineering (DICA), Piazza Leonardo da Vinci 32, 20133 Milano, Italy. Electronic address: andrea.turolla@polimi.it.

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Classifications MeSH