Impact of Spatial Configuration of Bioretention Cells on Catchment Hydrological Performance Under Extreme Rainfall Conditions with Different Stormwater Flow Paths

Bioretention cells (BCs) are widely used to manage urban runoff due to their positive impact on runoff control. Current research primarily focuses on optimizing the internal structural design of bioretention cells, while studies on the interactions between their spatial configuration, topography, and land use types are limited. This study employs the Storm Water Management Model (SWMM) and uses extreme rainfall to analyze the influence of typical stormwater flow paths, determined by various land use types and topography, as well as the spatial configurations of bioretention cells on catchment hydrological performance. The results show the following: (1) Different stormwater flow paths significantly affect catchment hydrological performance, with series-type pathways performing best. (2) The spatial configuration of bioretention cells significantly influences catchment hydrological performance. Decentralized BCs under series-type pathways showed better performance for reducing total outflow and peak runoff, with reduction rates increasing by 7.1% and 8.8%, while centralized BCs better delayed peak times. (3) Stormwater flow paths affect BC efficiency in catchment hydrological performance. Decentralized BCs under a series-type stormwater flow path are recommended for priority use. This study provides a novel perspective for optimizing the spatial arrangement of BCs and urban stormwater management, thereby contributing to flood risk mitigation.

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Publication Details

Journal
Water
Published
2025-01-16
DOI
https://doi.org/10.3390/w17020233
Primary Topic
Urban Stormwater Management Solutions
Type
article
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article

Impact of Spatial Configuration of Bioretention Cells on Catchment Hydrological Performance Under Extreme Rainfall Conditions with Different Stormwater Flow Paths

Jun Huang, Zebin Yu, Li Wang, Xu Liu et al.
Water
Urban Stormwater Management Solutions
article

Impact of Spatial Configuration of Bioretention Cells on Catchment Hydrological Performance Under Extreme Rainfall Conditions with Different Stormwater Flow Paths

Jun Huang, Zebin Yu, Li Wang, Xu Liu, Yimin Huang, Si-cheng Zheng
article en

Abstract

Bioretention cells (BCs) are widely used to manage urban runoff due to their positive impact on runoff control. Current research primarily focuses on optimizing the internal structural design of bioretention cells, while studies on the interactions between their spatial configuration, topography, and land use types are limited. This study employs the Storm Water Management Model (SWMM) and uses extreme rainfall to analyze the influence of typical stormwater flow paths, determined by various land use types and topography, as well as the spatial configurations of bioretention cells on catchment hydrological performance. The results show the following: (1) Different stormwater flow paths significantly affect catchment hydrological performance, with series-type pathways performing best. (2) The spatial configuration of bioretention cells significantly influences catchment hydrological performance. Decentralized BCs under series-type pathways showed better performance for reducing total outflow and peak runoff, with reduction rates increasing by 7.1% and 8.8%, while centralized BCs better delayed peak times. (3) Stormwater flow paths affect BC efficiency in catchment hydrological performance. Decentralized BCs under a series-type stormwater flow path are recommended for priority use. This study provides a novel perspective for optimizing the spatial arrangement of BCs and urban stormwater management, thereby contributing to flood risk mitigation.

WaterVol. 17(2)
Guangxi University (CN), China Design Group (China) (CN)
Openalex Percentile: Top 99%
Urban Stormwater Management Solutions
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Impact of Spatial Configuration of Bioretention Cells on Catchment Hydrological Performance Under Extreme Rainfall Conditions with Different Stormwater Flow Paths — Jun Huang, Zebin Yu, et al. · Water (2025) | TGRS Research Map | TGRS