International Low Impact Development Conference China 2016
Modeling of Bioretention Systems’ Hydrologic Performance: A Case Study in Beijing
Publication: International Low Impact Development Conference China 2016: LID Applications in Sponge City Projects
ABSTRACT
In this work, the storm water management model (SWMM) was used to evaluate the performance of bioretention systems as retrofitting technologies at a college campus in Beijing, China. The hydrological model was calibrated by using the Non-dominated Sorting Genetic Algorithm II (NSGA-II). The performance of bioretention systems on controlling quantity of the storm rainfall runoff was analyzed and compared with a conventional drainage system under different storm scenarios. The results indicated that bioretention systems were more effective in reducing runoff volume. The total runoff volume and the peak flow in a heavily urbanized catchment were reduced by up to 27.07%~33.55% and 11.13%~15.38%, respectively. The paper also indicated that the performance of bioretention systems was affected by the storm intensity and the location of peak rainfall intensity. This research provided an insight into the performance of bioretention systems designs under different conditions, which was essential for effective urban stormwater management.
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ACKNOWLEDGEMENTS
This work was supported by the Project of National Natural Foundation of China (No. 51379013, 51679007), the National Key Research Program of China (No. 2016YFC0401305), and the State Key Program of National Natural Science of China (No. 41530635).
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Information & Authors
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Published In
International Low Impact Development Conference China 2016: LID Applications in Sponge City Projects
Pages: 108 - 117
Editors: Haifeng Jia, Ph.D., Tsinghua University, Shaw L. Yu, Ph.D., University of Virginia, Robert Traver, Ph.D., Villanova University, Huapeng Qin, Ph.D., Peking University Shenzhen Graduate School, Junqi Li, Ph.D., Beijing University of Civil Engineering and Architecture, and Mike Clar, Ecosite, Inc.
ISBN (Online): 978-0-7844-8104-2
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© 2017 American Society of Civil Engineers.
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Published online: Dec 4, 2017
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