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Towards a modelling framework for nature-based solutions in wastewater treatment

Ali Reza Dehghani Tafti, Dwight Houweling, Jean-Michel Perron, Daniel Bencsik, Tom Johnson, Peter A. Vanrolleghem and Yves Comeau

Article (2024)

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Abstract

This article presents the authors’ perspectives on modelling best practices for nature-based solutions (NBS). The authors led a workshop on NBS modelling as part of the 8th IWA Water Resource Recovery Modelling Seminar (WRRmod2022þ) in January 2023, where the discussion centred around the design, use cases, and potential applications of NBS models. Four real-world case studies, encompassing an aerated lagoon, a biofilm-enhanced aerated lagoon, a stormwater basin, and a constructed wetland were reviewed to demonstrate practical applications and challenges in modelling NBS systems. The initial proposed modelling framework was derived from these case studies and encompassed eight sub-models used for these NBS types. The framework was subsequently extended to include 8 additional NBS categories, requiring a total of 10 sub-models. In a subsequent step, with a different perspective, the framework was refined to focus on 13 primary use cases of NBS, identifying 10 sub-models needed or potentially required for these specific NBS applications. These frameworks help to identify the necessary sub-models for the NBS system at hand or the use case. This article also discusses the benefits and challenges of applying water resource recovery modelling best practices to NBS, along with recommendations for future research in this area.

Uncontrolled Keywords

aerated lagoon; constructed wetland; modelling wastewater; nature-based solution; stormwater basin

Subjects: 1500 Environmental engineering > 1500 Environmental engineering
Department: Department of Civil, Geological and Mining Engineering
Funders: NSERC / CRSNG, Fonds de recherche du Québec - Nature et technologies (FRQNT)
Grant number: RGPIN-2021- 04347
PolyPublie URL: https://publications.polymtl.ca/58788/
Journal Title: Water Science and Technology
Publisher: IWA Publishing
DOI: 10.2166/wst.2024.235
Official URL: https://doi.org/10.2166/wst.2024.235
Date Deposited: 21 Aug 2024 00:09
Last Modified: 21 Aug 2024 00:09
Cite in APA 7: Dehghani Tafti, A. R., Houweling, D., Perron, J.-M., Bencsik, D., Johnson, T., Vanrolleghem, P. A., & Comeau, Y. (2024). Towards a modelling framework for nature-based solutions in wastewater treatment. Water Science and Technology, 2024235 (19 pages). https://doi.org/10.2166/wst.2024.235

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