Modeling multi-year phosphorus dynamics in a bioretention cell: phosphorus partitioning, accumulation, and export

Zhou, Bowen

https://ror.org/01aff2v68;-

University of Waterloo;Water Institute

https://orcid.org/0000-0003-1911-4633

Shafii, Mahyar

https://ror.org/01aff2v68;-

University of Waterloo;Water Institute

https://orcid.org/0000-0002-8303-1253

Parsons, Chris

https://ror.org/026ny0e17

Environment and Climate Change Canada

https://orcid.org/0000-0002-6003-7716

Passeport, Elodie

https://ror.org/03dbr7087

University of Toronto

https://orcid.org/0000-0002-6324-7233

Rezanezhad, Fereidoun

https://ror.org/01aff2v68;-

University of Waterloo;Water Institute

https://orcid.org/0000-0002-9608-8005

Lisogorsky, Ariel

https://ror.org/01aff2v68;-

University of Waterloo;Water Institute

https://orcid.org/0000-0003-4677-0652

Van Cappellen, Philippe

https://ror.org/01aff2v68;-

University of Waterloo;Water Institute

https://orcid.org/0000-0001-5476-0820

2020-01-01/2022-10-03

2022-10-19T20:49:16Z

2023-06-27

2023-06-27

https://www.frdr-dfdr.ca/repo/dataset/8c090e43-1383-4e2f-ba8c-d84254550005

https://doi.org/10.20383/103.0640

Abstract: Nutrient phosphorus (P) export from urban areas via stormwater runoff contributes to eutrophication of downstream aquatic ecosystems. Bioretention cells are a Low Impact Development (LID) technology promoted as a green solution to attenuate urban peak flow discharge, as well as the export of excess nutrients and other contaminants. Despite their rapidly growing implementation worldwide, a predictive understanding of the efficiency of bioretention cells in reducing P runoff remains limited. Here, we present a reaction-transport model data and codes that was used to simulate the fate and transport of P in a bioretention cell facility in the greater Toronto metropolitan area. The model incorporates a representation of the biogeochemical reaction network that controls P cycling within the cell. We used the model as a diagnostic tool to determine the relative importance of processes immobilizing P in the bioretention cell. The model predictions were compared to multi-year observational data on 1) the outflow loads of total P (TP) and soluble reactive P (SRP) during the 2012-2017 period, 2) TP depth profiles collected at 4 time points during the 2012-2019 period, and 3) sequential chemical P extractions performed on core samples from the filter media layer obtained in 2019. According to the modeling results, groundwater recharge was principally responsible for decreasing the surface water discharge from the bioretention cell (63% runoff reduction). From 2012 to 2017, the cumulative outflow export loads of TP and SRP only accounted for 1% and 2% of the corresponding inflow loads, respectively. Accumulation in the filter media layer was the predominant mechanism responsible for the reduction in P outflow loading (57% retention of TP inflow load) followed by plant uptake (21% TP retention). Of the P retained within the filter media layer, 48% occurred in stable, 41% in potentially mobilizable, and 11% in easily mobilizable forms. There were no signs that the P retention capacity of the bioretention cell would approach saturation in the near future. The design of this bioretention facility seems therefore especially efficient at controlling urban P runoff.

This Dataset includes the model scripts and modelled results dataset for Elm Drive bio retention cell.

Federated Research Data Repository / dépôt fédéré de données de recherche

Creative Commons Attribution 4.0 International (CC BY 4.0)

https://creativecommons.org/licenses/by/4.0/

Urban bioretention cell

Phosphorus

Fate and transport:

Flow attenuation:

Retention

Modeling multi-year phosphorus dynamics in a bioretention cell: phosphorus partitioning, accumulation, and export

f163c1b3-9c88-42f6-a7bb-5839ed6c4063

/2/embargo/publication_635/

https://orcid.org/0000-0002-9608-8005

2024

Bowen Zhou

Philippe Van Cappellen

2020-01-01/2022-10-03

Dataset

43.5885218 -79.6336246

Elm Drive bioretention cells;Missisuaga;Ontario;Canada

https://ror.org/01h531d29

Natural Sciences and Engineering Research Council of Canada (NSERC)

STPGP 521515-18

Strategic Partnership Grant

Global Water Futures

Canada First Research Excellence Fund (CFREF)

RDF1059999

Earth and related environmental sciences

Other earth and related environmental sciences

Other earth and related environmental sciences, not elsewhere classified

Sciences de la Terre et sciences de l'environnement connexes

Autres sciences de la Terre et sciences de l'environnement connexes

Autres sciences de la Terre et sciences de l'environnement connexes, non classé ailleurs