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\begin{document}

\title{Phosphorus accumulation in a bioretention cell in Mississauga, Ontario:
Insights from field monitoring and process-based modeling}



\author[1]{Bowen Zhou}%
\author[2]{Ariel Lisogorsky}%
\author[2]{Mahyar Shafii}%
\author[2]{Alina Arvisais}%
\author[3]{Christopher Parsons}%
\author[4]{Elodie Passeport}%
\author[2]{Fereidoun Rezanezhad}%
\author[1]{Philippe Van Cappellen}%
\affil[1]{University of Waterloo}%
\affil[2]{University of Waterloo, Ecohydrology Research Group}%
\affil[3]{Environment and Climate Change Canada, Canada Centre for Inland Waters}%
\affil[4]{University of Toronto}%


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  \date{May 07, 2024}


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\begin{abstract}
Bioretention cells are a Low Impact Development (LID) technology that is
being promoted as a green solution to attenuate urban stormwater
nutrient loadings. Despite extensive implementation of bioretention
cells in Canada, the mechanistic understanding of phosphorus (P) cycling
in bioretention cells is still limited. We conducted detailed analyses
of (geo)chemical and hydrological data coupled to numerical reactive
transport modeling to simulate the fate and transport of P in a
bioretention cell located in Mississauga (Ontario, Canada) within the
Credit River watershed. Our objective is to utilize the model to
predictively understand the accumulation and speciation of P in the
bioretention cell under long-term field operation. Unlike existing
bioretention models, our model incorporates a detailed representation of
the biogeochemical processes that control P cycling in the bioretention
cell. We further compare the model predictions with data from sequential
chemical extractions of P from soil samples taken from the bioretention
cell. The model correctly estimates the cumulative TP (total P) and SRP
(soluble reactive P) outflow loadings from the bioretention cell, as
well as the TP accumulation rate and observed partitioning of P over the
different pools in the bioretention cell. The relative importance of
various processes controlling P retention are assessed using mass
balance calculations and sensitivity analyses of the model. The results
show that filtration of fine P-containing particles and slow sorption
are the main processes retaining P in the bioretention cell.%
\end{abstract}%



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