Water Science and Engineering 2019, 12(2) 98-107 DOI:   https://doi.org/10.1016/j.wse.2019.06.002  ISSN: 1674-2370 CN: 32-1785/TV

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Keywords
Bioretention cell
Rainfall
Runoff
Hydrologic model
Stormwater management model (SWMM)
Authors
PubMed

Impacts of rainfall and catchment characteristics on bioretention cell performance

Yan-wei Sun a,*, Christine Pomeroy b, Qing-yun Li a , Cun-dong Xu a

a School of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450011, China
b Department of Civil and Environmental Engineering, University of Utah, Salt Lake City, Utah 84112, USA

Abstract

Although many studies have evaluated the impacts of bioretention cell (BRC) design elements on hydrologic performance, few have investigated the role site characteristics and rainfall patterns play. The objectives of this study were to assess the impacts of rainfall and catchment with different characteristics on the hydrologic performance of BRCs and identify important factors in sizing bioretention when hydrologic performance was oriented for the design using a modeling approach. A 10-year record of rainfall data was used to identify the frequency and magnitude of rainfall events. The results showed that although the small and medium rainfall events were dominant they contributed less to the total rainfall depth compared with the large rainfall events. The ratio of runoff coefficient to imperviousness can be used as an indicator to explain the reasons why BRCs perform differently with the same design strategy under the same rainfall events. Rainfall patterns had significant impacts on the hydrologic performance of BRCs by influencing the overflow and underdrain flow. BRCs performed better for rainfall events with a longer duration and smaller rainfall intensity because they generated smoother runoff processes into the BRCs. On the basis of these results, the runoff coefficient is suggested to be considered for BRC surface design.

Keywords Bioretention cell   Rainfall   Runoff   Hydrologic model   Stormwater management model (SWMM)  
Received 2018-08-06 Revised 2019-04-12 Online: 2019-06-30 
DOI: https://doi.org/10.1016/j.wse.2019.06.002
Fund:

This work was supported by the National Key R&D Program of China(Grants No. 2017YFC0403600 and 2017YFC0403604) and the National Natural Science Foundation of China (Grants No. 41401038, 41501025, and 51579102).

Corresponding Authors: Yan-wei Sun
Email: sunyanwei83@163.com
About author:

References:

 

 

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