Ecological assessment of combined sewer overflow management practices through the analysis of benthic and hyporheic sediment bacterial assemblages from an intermittent stream.

Aquatic ecosystem Bacterial indicator species Chemical pollutants DNA metabarcoding Urban runoff Wastewater

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 Jan 2024
Historique:
received: 13 07 2023
revised: 11 10 2023
accepted: 13 10 2023
medline: 27 11 2023
pubmed: 18 10 2023
entrez: 17 10 2023
Statut: ppublish

Résumé

Combined sewer overflows (CSO) are used to avoid overloading unitary sewers and wastewater treatment plants. Following the European Council Directive on Urban Wastewater Treatment (UWT), CSO discharges are regulated using guidelines that aim to reduce their ecological impact on aquatic systems. A model CSO, which is part of a long-term experimental field observatory, was modified according to these guidelines and used to evaluate the benefits of compliance through analyses of the bacteriological and chemical states of the receiving intermittent stream. The benthic and hyporheic sediments of similar geomorphic units located upstream and downstream of a monitored CSO outlet were compared before and after changes in CSO regimes. Hydrological, pollutants (Metal Trace Elements, MTE; Polycyclic Aromatic Hydrocarbons, PAH; fecal indicator bacteria, FIB), and tpm-based DNA meta-barcoding datasets resolving the occurrences of >700 bacterial species of nearly 200 genera were studied. The frequency of overflow was confirmed to have significantly decreased following the application of the UWT guidelines. Overflows became almost limited to periods of heavy summer thunderstorm events. These changes were not associated with a significant decrease in most of the surveyed MTE, PAH, and FIB among stream sediments, except for chromium. Ecological benefits were highlighted by significant changes in tpm-based meta-barcoding community patterns between the UWT compliant sampling period and the previous one. Bacterial community change point analyses confirmed this segregation in the meta-barcoding dataset according to hydrological indices such as the number of CSO events and discharged volumes. A significant decline in CSO bacterial taxa in the benthic and hyporheic sediments was observed. Thirty-four CSO indicator species were identified, including Aeromonas caviae, Aeromonas media, and Pseudomonas oleovorans. These indicators, often documented as opportunistic pathogens (to humans, animals or plants) and/or pollutant degraders, were proposed as ecological sentinels for the assessment of CSO impacts.

Identifiants

pubmed: 37848137
pii: S0048-9697(23)06481-1
doi: 10.1016/j.scitotenv.2023.167854
pii:
doi:

Substances chimiques

Wastewater 0
Environmental Pollutants 0
Sewage 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

167854

Informations de copyright

Copyright © 2023 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 influenced the work reported in this paper.

Auteurs

Adrien C M Pozzi (ACM)

Université Claude Bernard Lyon 1, Laboratoire d'Ecologie Microbienne, UMR CNRS 5557, UMR INRAE 1418, VetAgro Sup, Research Team "Bacterial Opportunistic Pathogens and Environment" (BPOE), 69280 Marcy L'Etoile, France. Electronic address: adrien.meynier_pozzi@vetagro-sup.fr.

Stéphanie Petit (S)

Université Claude Bernard Lyon 1, Laboratoire d'Ecologie Microbienne, UMR CNRS 5557, UMR INRAE 1418, VetAgro Sup, Research Team "Bacterial Opportunistic Pathogens and Environment" (BPOE), 69280 Marcy L'Etoile, France.

Laurence Marjolet (L)

Université Claude Bernard Lyon 1, Laboratoire d'Ecologie Microbienne, UMR CNRS 5557, UMR INRAE 1418, VetAgro Sup, Research Team "Bacterial Opportunistic Pathogens and Environment" (BPOE), 69280 Marcy L'Etoile, France.

Benjamin Youenou (B)

Université Claude Bernard Lyon 1, Laboratoire d'Ecologie Microbienne, UMR CNRS 5557, UMR INRAE 1418, VetAgro Sup, Research Team "Bacterial Opportunistic Pathogens and Environment" (BPOE), 69280 Marcy L'Etoile, France.

Mickaël Lagouy (M)

UR RiverLy, INRAE Centre Lyon-Grenoble, Auvergne-Rhône-Alpes, 69625 Villeurbanne Cedex, France.

Philippe Namour (P)

UR RiverLy, INRAE Centre Lyon-Grenoble, Auvergne-Rhône-Alpes, 69625 Villeurbanne Cedex, France.

Laurent Schmitt (L)

Université de Strasbourg, UMR 7362 Unistra-CNRS-ENGEES, Faculté de Géographie et d'Aménagement, 67000 Strasbourg, France.

Oldrich Navratil (O)

UMR 5600 Environnement Ville Société, Université Lyon 2, CNRS, Lyon, France.

Pascal Breil (P)

UR RiverLy, INRAE Centre Lyon-Grenoble, Auvergne-Rhône-Alpes, 69625 Villeurbanne Cedex, France.

Flora Branger (F)

UR RiverLy, INRAE Centre Lyon-Grenoble, Auvergne-Rhône-Alpes, 69625 Villeurbanne Cedex, France.

Benoit Cournoyer (B)

Université Claude Bernard Lyon 1, Laboratoire d'Ecologie Microbienne, UMR CNRS 5557, UMR INRAE 1418, VetAgro Sup, Research Team "Bacterial Opportunistic Pathogens and Environment" (BPOE), 69280 Marcy L'Etoile, France. Electronic address: benoit.cournoyer@vetagro-sup.fr.

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Classifications MeSH