Performance Evaluation of Bioretention Ponds Based on Analytical Probabilistic Model
An analytical probabilistic model for bioretention ponds is proposed for quickly evaluating the system's runoff control performance.Both saturation-excess and infiltration-excess runoff are considered,which overcomes the limitation of the traditional analytical probabilistic method,which only considers the saturation-excess runoff process so that runoff reduction rate may be overestimated.Taking the bioretention pond design in Beijing as an ex-ample,the results of the proposed model based on the coupled runoff mechanism was compared with the those ob-tained from the traditional analytical probabilistic model and SWMM to show that the proposed model is reliable.Under different design conditions,simulation results show that the system's runoff control performance is affected by all the soil infiltration rate of the storage layers,the thickness of the soil layer and the storage layer,and other factors.In addition,the proposed model can be used for estimating the long-term average water storage occupancy of the bioretention pond.According to the water shortage condition,that the configuration is appropriate or not can be assessed to provide a scientific guidance for the planning and design of the bioretention pond.
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