https://doi.org/10.1016/j.jhydrol.2025.132805

Zhou, Bowen; Parsons, Chris; Shafii, Mahyar; Rezanezhad, Fereidoun; Passeport, Elodie; Cappellen, Philippe Van (2025) How efficient are bioretention cells in controlling phosphorus and nitrogen enrichment of urban stormwater? Insights from the International stormwater best management practice database, Journal of Hydrology, Vol. 654, 132805, https://doi.org/10.1016/j.jhydrol.2025.132805

Bioretention cells (BRCs) are a common technology to reduce stormwater runoff volumes and peak flows. BRCs have also been proposed as a best management practice (BMP) to control the export of contaminants from urban landscapes, including the macronutrients phosphorus (P) and nitrogen (N). To determine whether bioretention systems are effective in mitigating P and N enrichment of urban stormwater runoff, we extracted hydrologic and nutrient concentration data for over 400 precipitation events across more than 30 BRCs from the International Stormwater BMP Database. The concentration data included total P (TP), soluble reactive P (SRP), total N (TN), and dissolved inorganic N (DIN). Among the BRCs included in our analysis, 74 and 89 % exhibited average concentrations of TP and SRP that were higher in the surface outflow than in the inflow, respectively. However, the corresponding outflow loads of TP and SRP were generally lower, mainly because of reductions in surface runoff volumes. By contrast, BRCs exhibited on average lower outflow TN concentrations (median reduction of 21 %) while DIN concentrations were similar between outflow and inflow. Hence, because they are generally more efficient in reducing N than P loads, BRCs tended to decrease the TN:TP and DIN:SRP ratios of stormwater runoff, potentially altering nutrient limitation patterns in receiving aquatic ecosystems. Changes to P and N speciation were also prevalent, with BRCs typically increasing the SRP:TP and (NO3–+NO2–):NH4+ ratios. Random forest modeling identified inflow concentrations and BRC age as key variables modulating the changes in TP, SRP, and TN concentrations between inflow and outflow. For DIN, the BRC’s storage volume and drainage area also emerged as an important explanatory variable. Overall, our findings imply that the impacts of BRCs on the P and N concentrations, speciation, and loads of urban runoff are highly variable. Although the P and N loads in surface runoff are usually reduced by BRCs, the implications for downstream nutrient limitation and potential groundwater quality deterioration deserve further attention.

Keywords: Bioretention cell; Urban stormwater management; Nutrients export control; Machine learning

https://www.sciencedirect.com/science/article/pii/S002216942500143X