Modeling multi-year phosphorus dynamics in a bioretention cell: Phosphorus partitioning, accumulation, and export
Abstract
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 urban P loadings remains limited. Here, we present a reaction-transport model 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. Results indicate that exfiltration to underlying native soil 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…
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The increase in phosphorus concentration from influent to effluent of bioretention systems is largely offset by the large volume of water that is infiltrated, resulting in pollutant load reductions.
“While this indicates that the concentration of phosphorus may increase from the influent to the effluent of bioretention systems, this increase in concentration is largely offset by the large volume of water that is infiltrated, resulting in pollutant load reductions (Davis et al. 2006; Zhou et al. 2023).”
From Green Infrastructure in Series to Treat Stormwater Runoff from a Highway Overpass (2024) · cites this paper as Zhou et al. 2023
Cites
Jefferson, A. J., Bhaskar, A. S., Hopkins, K. G., Fanelli, R., Avellaneda, P. M., & McMillan, S. K. (2017) · Hydrological Processes · doi:10.1002/hyp.11347 · Cited by 203 · see citing works
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Green Infrastructure in Series to Treat Stormwater Runoff from a Highway Overpass
Bodus, B., Branca, J., & McDonald, W. (2024) · Journal of Sustainable Water in the Built Environment · doi:10.1061/jswbay.sweng-569 · Cited by 2 · see citing works
- Authors
- Zhou, B., Shafii, M., Parsons, C. T., Passeport, E., Rezanezhad, F., Lisogorsky, A., & Van Cappellen, P.
- Venue
- Science of The Total Environment
- Publisher
- Elsevier BV
- Published
- 2023-06
- Volume
- 876
- Pages
- 162749
- ISSN
- 0048-9697
- Cited by
- 22
- References
- 1
- Language
- en
- Licence
- Funders
- Natural Sciences and Engineering Research Council of Canada (STPGP 521515-18)
- Canada First Research Excellence Fund
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