Abstract
Abstract Lined permeable pavements (LPPs) are types of sustainable urban stormwater systems (SUDs) that are suitable for locations with low infiltration capacity or shallow groundwater levels. This study evaluated the hydrological performance of an LPP system in Norway using common detention indicators and flow duration curves (FDCs). Two hydrological models, the Storm Water Management Model (SWMM)-LID module and a reservoir model, were applied to simulate continuous outflows from the LPP system to plot the FDCs. The sensitivity of the parameters of the SWMM-LID module was assessed using the generalized likelihood uncertainty estimation methodology. The LPP system was found to detain the flow effectively based on the median values of the detention indicators (peak reduction = 89%, peak delay = 40 min, centroid delay = 45 min, T50-delay = 86 min). However, these indicators are found to be sensitive to the amount of precipitation and initial conditions. The reservoir model developed in this study was found to yield more accurate simulations (higher NSE) than the SWMM-LID module, and it can be considered a suitable design tool for LPP systems. The FDC offers an informative method to demonstrate the hydrological performance of LPP systems for stormwater engineers and decision-makers.
Highlights
Permeable pavements (PPs) are a type of sustainable urban stormwater systems (SUDs) that can substitute normal pavements and provide valuable environmental services
The median values demonstrate the good detention performance of the lined PPs (LPPs) system, which confirmed the finding of previous studies (Pratt et al 1995; Abbott & Comino-Mateos 2003; Støvring et al 2018)
High peak reduction (PR) and delay indicators were obtained for Event 8, which only has a precipitation amount of 2.53 mm
Summary
Permeable pavements (PPs) are a type of sustainable urban stormwater systems (SUDs) that can substitute normal pavements and provide valuable environmental services. They reported peak delay values ranging from 0:39 to 3:16 h and per event volume reduction of 27–69%, demonstrating good detention capabilities of LPP systems. Palla & Gnecco (2015) calibrated a SWMM-PP model with data of one artificial rainfall event and found the model to produce simulations with high accuracy (NSE values above 0.75). There is a need to investigate the sensitivity of SWMM-PP parameters for event-based simulations.
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