Technical Papers
Jun 26, 2023

Evaluation of Permeable Brick Pavement System Infiltration Performance via Experiment and SWMM

Publication: Journal of Irrigation and Drainage Engineering
Volume 149, Issue 9

Abstract

The effect of permeable pavement in reducing stormwater runoff is dependent on its infiltration performance. The monitoring and modeling methods were adopted to analyze infiltration performance of permeable pavement and was primarily based on Darcy’s law in previous studies. But Darcy’s law disregards the changing infiltration rate with the change of water content in permeable pavement medias. Neglecting the infiltration rate change frequently resulted in significant deviation between the monitoring and modeling results. To address these issues, the accuracy of two modeling methods for the infiltration performance of permeable brick pavement system (PBPs) was evaluated. The first is the low impact development (LID) module of the stormwater management model (SWMM), and the second is a new equivalent modeling approach based on the Horton model for PBPs. According to the results, the Horton model accurately described the infiltration performance of PBPs in SWMM. Under high return periods situation, the coefficients of determination (R2) and Nash-Sutcliffe efficiency coefficients (Ens) reach 0.82 and 0.88, respectively, and the simulation error ranges from 6.57% to 8.75%. The experimental and simulation results of the LID module in SWMM were compared in greater detail. The result demonstrated that the LID module of SWMM underestimated the infiltration capacity of PBPs because it ignored the fluctuating infiltration rate throughout the whole PBPs infiltration process. Therefore, the proposed equivalent modeling method is superior to simulating the infiltration performance of PBPs in SWMM, and the Horton model improved the simulation accuracy of PBPs infiltration.

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Data Availability Statement

The data that support the findings of this study are available from the corresponding author, upon reasonable request.

Acknowledgments

We gratefully acknowledge the support of the National Key Research and Development Program of The Fourteenth Five-Year Plan that research on flooding management techniques in urban renewal scenarios (No. 2021YFC3001402), and International Science Editing for editing this manuscript.

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Information & Authors

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Go to Journal of Irrigation and Drainage Engineering
Journal of Irrigation and Drainage Engineering
Volume 149Issue 9September 2023

History

Received: Sep 18, 2022
Accepted: May 3, 2023
Published online: Jun 26, 2023
Published in print: Sep 1, 2023
Discussion open until: Nov 26, 2023

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Authors

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Jianying Song [email protected]
Ph.D. Student, Key Laboratory of Urban Stormwater System and Water Environment (Ministry of Education), Beijing Univ. of Civil Engineering and Architecture, Beijing Normal Univ., Beijing 100088, China. Email: [email protected]
Jianlong Wang [email protected]
Professor, Beijing Engineering Research Center of Sustainable Urban Sewage System Construction and Risk Control, Beijing Univ. of Civil Engineering and Architecture, Beijing 100044, China (corresponding author). Email: [email protected]
Undergraduate Student, Key Laboratory of Urban Stormwater System and Water Environment (Ministry of Education), Beijing Univ. of Civil Engineering and Architecture, Beijing 102612, China. Email: [email protected]
Graduate Student, Key Laboratory of Urban Stormwater System and Water Environment (Ministry of Education), Beijing Univ. of Civil Engineering and Architecture, Beijing 102612, China. Email: [email protected]
Changhe Zhang [email protected]
Graduate Student, Key Laboratory of Urban Stormwater System and Water Environment (Ministry of Education), Beijing Univ. of Civil Engineering and Architecture, Beijing 102612, China. Email: [email protected]
Shiping Wang [email protected]
Graduate Student, Key Laboratory of Urban Stormwater System and Water Environment (Ministry of Education), Beijing Univ. of Civil Engineering and Architecture, Beijing 102612, China. Email: [email protected]
Xiaoning Li, Ph.D. [email protected]
College of Hydrology and Water Resources, Hohai Univ., Nanjing 210098, China. Email: [email protected]

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