Tracing wastewater resources: Unravelling the circularity of waste using source, destination, and quality analysis.

Assessment indicators Circular economy Circularity assessment Material flow analysis Resource traceability

Journal

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

Informations de publication

Date de publication:
20 Nov 2023
Historique:
received: 24 07 2023
revised: 17 10 2023
accepted: 20 11 2023
medline: 21 12 2023
pubmed: 21 12 2023
entrez: 20 12 2023
Statut: aheadofprint

Résumé

Current circularity assessment terminology restricts application to wastewater processes due to the focus on technical systems. Waste stream and wastewater discharge circularity definitions lead to paradoxical assessments that generate results of little value for evidence-based decision making. Therefore, a classification approach was developed to measure inflow and outflow circularity of the main wastewater resource flows using the principle of traceability, adopting the attitude that not all waste is created equally. Applying it to a wastewater treatment plant (12,000 m

Identifiants

pubmed: 38118255
pii: S0043-1354(23)01341-6
doi: 10.1016/j.watres.2023.120901
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

120901

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

D Renfrew (D)

Department of Civil & Environmental Engineering, Institute of Environment, Health and Societies, Brunel University London, Uxbridge Campus, Middlesex, Uxbridge UB8 3PH, UK.

V Vasilaki (V)

Department of Civil & Environmental Engineering, Institute of Environment, Health and Societies, Brunel University London, Uxbridge Campus, Middlesex, Uxbridge UB8 3PH, UK.

E Nika (E)

Department of Civil & Environmental Engineering, Institute of Environment, Health and Societies, Brunel University London, Uxbridge Campus, Middlesex, Uxbridge UB8 3PH, UK.

E Harris (E)

Swiss Data Science Centre, ETH Zurich, Zurich 8092, Switzerland.

E Katsou (E)

Department of Civil & Environmental Engineering, Institute of Environment, Health and Societies, Brunel University London, Uxbridge Campus, Middlesex, Uxbridge UB8 3PH, UK. Electronic address: evina.katsou@brunel.ac.uk.

Classifications MeSH