Investigating the Impact of Spatial Distribution of Sustainable Drainage System (SuDS) Components on Their Flood Mitigation Performance in Communities with High Groundwater Levels

• Main Authors: Liang, Q. (Author), Ma, Y. (Author), Wan, H. (Author), Xia, X. (Author)
• Format: Article
• Language: English
• Published: MDPI 2022
• Subjects: % reductions; community scale; Community scale; Decentralised; Discharge flow rates; Discharge volume; Drainage; flood reduction; Flood reduction; Floods; Flow direction; Groundwater; Performance; Rain; Roofs; spatial distribution; Spatial distribution; sustainable drainage systems; Sustainable drainage systems; System components; Water levels; Water management
• Online Access: View Fulltext in Publisher

 This paper investigated the impact of the spatial distribution of SuDS components on their flood reduction performance and the underlying mechanisms in a community with high ground-water levels. The effects of SuDS components’ connectivity, decentralized level, and installation position along the flow direction on the reduction of total discharge volume (TDV), average discharge flow rate (ADFR), maximum discharge flow rate (MDFR), inundated area (IA), average inundated depth (AID), and maximum inundated depth (MID) were studied by coupling of the storm water management model (SWMM) and high-performance integrated hydrodynamic modelling system (HiPIMS). The results demonstrate that the connectivity has a positive linear correlation with the reduction of TDV (R2 > 0.991), ADFR (R2 > 0.992), and MDFR (R2 > 0.958), while the decentralized level of rain gardens and green roofs present positive one-phase exponential correlation with the reduction of TDV (R2 > 0.935), ADFR (R2 > 0.934) and MDFR (R2 > 0.967). A better-integrated mitigation of TDV and ADFR could be achieved by installing SuDS upstream along the flow direction. The connectivity from green roofs to rain gardens has a positive effect on the reduction of AID and MID but leads to the increase of IA. The findings of this study may contribute to the development of general spatial distribution guidelines and strategies to optimize the overall performance of SuDS components, especially at a community scale. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.