Estimation of the impact of combined sewer overflows on surface water quality in a sparsely monitored area.

Combined sewer overflows Conceptual model Data scarcity Empirical model Water quality

Journal

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

Informations de publication

Date de publication:
01 Oct 2023
Historique:
received: 17 05 2023
revised: 24 07 2023
accepted: 17 08 2023
medline: 25 9 2023
pubmed: 29 8 2023
entrez: 28 8 2023
Statut: ppublish

Résumé

Combined sewer overflows (CSOs) can have a severe negative, local impact on surface water systems. To assure good ecological surface water quality and drinking water production that meets the demands, the impact of sewer system overflows on the surrounding water bodies for current and future climate conditions needs to be assessed. Typically, integrated, detailed hydrological and hydrodynamic water quantity and quality models are used for this purpose, but often data and computational resource requirements limit their applicability. Therefore, an alternative computationally efficient, integrated water quantity and quality model of sewer systems and their receiving surface waters is proposed to assess the impact of CSOs on surface water quality in a sparsely observed area. A conceptual model approach to estimate CSO discharges is combined with an empirical model for estimating CSO pollutant concentrations based on waste water treatment plant influent observations. Both methods are compared with observations and independent results of established reference methods as to evaluate their performance. The methodology is demonstrated by modelling the current impact of CSOs on the water abstraction area of a major drinking water production centre in Flanders, Belgium. It is concluded that the proposed conceptual models achieve similar results for daily WWTP effluent and CSO frequency, whereby the accumulated CSO volume is similar to more detailed full hydrodynamic models. Further, the estimated pollutant concentrations correspond with another dataset based on high resolution sampled overflows. As a result, the proposed computational efficient method can give insights in the impact of CSOs on the water quality at a catchment level and can be used for planning monitoring campaigns or performing analyses of e.g. the current and future water availability for a data scarce areas.

Identifiants

pubmed: 37639989
pii: S0043-1354(23)00938-7
doi: 10.1016/j.watres.2023.120498
pii:
doi:

Substances chimiques

Drinking Water 0
Environmental Pollutants 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

120498

Informations de copyright

Copyright © 2023. 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

Daan Bertels (D)

KU Leuven, Department of Civil Engineering, Hydraulics and Geotechnics Section, Kasteelpark Arenberg 40 - box 2448, Leuven 3001, Belgium. Electronic address: daan.bertels@kuleuven.be.

Joke De Meester (J)

KU Leuven, Department of Civil Engineering, Hydraulics and Geotechnics Section, Kasteelpark Arenberg 40 - box 2448, Leuven 3001, Belgium.

Geert Dirckx (G)

Aquafin NV, R & D, Dijkstraat 8, Aartselaar 2630, Belgium.

Patrick Willems (P)

KU Leuven, Department of Civil Engineering, Hydraulics and Geotechnics Section, Kasteelpark Arenberg 40 - box 2448, Leuven 3001, Belgium.

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Classifications MeSH