Vance, NancyBowring, JacquelineAbbott, Michael R.Christensen, K. M.2019-11-192016https://hdl.handle.net/10182/11096Bioretention best management practice (BMP) has gained recognition in landscape design because of its potential in reducing flooding and improving stormwater quality. Based on bioretention design manuals, many laboratory and field experiments have been conducted to explore how bioretention designs influence pollutant removal efficiency. However, conclusions of these experiments are not always convergent. Thus, research on bioretention performance is needed to improve our understandings of design parameters and how they affect pollutant removal performance. The purpose of this study is to use published data to create models in predicting bioretention pollutant removal performance with its design parameters. We compiled bioretention design parameters and corresponding pollutant removal efficiencies from 51 publications, in which 54 records were from field experiments and 66 from laboratory experiments. Key design parameters include the ratio of bioretention surface area to the contributing drainage area (SA/DA), filtration media depth, the presence of mulch layer, internal water storage (IWS) layer and organic matter. Water quality data include influent concentration, effluent concentration, and removal efficiency based on concentration and mass. Pollutants of total suspend solid (TSS), heavy metals, and nutrients are included. We found that overall pollutant removal performance of TSS and heavy metals are fairly stable and consistent. However, removal of nutrients varies greatly, which is attributed to leaching of nutrient from soil. Statistic tests indicate that total nitrogen (TN) removal can be predicted with sand/soil media depth, SA/DA, the presence of IWS and organic matter. Organic matter has a negative impact on TN removal performance because of leaching of nitrogen from soil. Other factors are all positively-related factors. Total phosphorous removal can be predicted with sand/soil media depth, SA/DA and the presence of IWS where the presence of IWS has a negative impact and all other factors have a positive impact on pollutant removal efficiency. Heavy metal removals can be improved with thick media layer and the presence of mulch layer. TSS removal is positively associated with the presence of mulch.435-449en© CELAlandscapeseascapecoastthresholddesigninterventionConference Contribution - published