Abstract

Because low-impact development (LID) infrastructures are effective in capturing and utilizing urban stormwater runoff, real-time control (RTC) strategies can be viewed as soft infrastructures, offering an additional suite of opportunities to improve the stormwater drainage system performance. However, there is a paucity of analyses that disentangle the contributing sources of performance enhancement in these joint hard–soft stormwater infrastructures. This study evaluated the stormwater system performance with integrated LID infrastructures, in-sewer storage capacity, and RTC strategies. Our results showed that LID infrastructures play a major role in mitigating the flow peaks and high volumes, whereas adding RTC to the storage unit and in-sewer flow control mostly improves the performance under relatively small rainfall events, e.g., those with a 3-year return period. The critical contribution of RTC is realized by utilizing storage units as much as possible during the rainfall event. A downstream storage unit that is too close to the outfall may not be suitable for RTC application together with in-sewer capacity utilization. In the present case, the combination of a midstream storage unit and upstream control site at branch pipes worked better than those at other locations. The results suggest that the integration of LID and RTC on a simulation-system level can enhance the reduction of the peak runoff and total discharged volume only if the storage site and control locations are selected carefully.

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Data Availability Statement

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

The authors acknowledge the National Natural Science Foundation of China (Nos. 52309030 and U2240223), the Water Technology Demonstration Project of the Ministry of Water Resources of China (No. SF-202210), the Water Conservancy Science and Technology Project of Jiangsu Province (No. 2023025), the Science Foundation of Nanjing Hydraulic Research Institute for Young Scholars (No. Y522005), and the General Research Fund of Hong Kong RGC (No. 17202020) for funding this study.

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Go to Journal of Hydrologic Engineering
Journal of Hydrologic Engineering
Volume 29Issue 5October 2024

History

Received: Oct 11, 2023
Accepted: Apr 26, 2024
Published online: Jul 24, 2024
Published in print: Oct 1, 2024
Discussion open until: Dec 24, 2024

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The National Key Laboratory of Water Disaster Prevention, Hydrology and Water Resources Dept., Nanjing Hydraulic Research Institute, Nanjing 210029, China. ORCID: https://orcid.org/0000-0002-9264-2822. Email: [email protected]
Professor, The National Key Laboratory of Water Disaster Prevention, Hydrology and Water Resources Dept., Nanjing Hydraulic Research Institute, Nanjing 210029, China. ORCID: https://orcid.org/0000-0003-0521-158X. Email: [email protected]
Assistant Professor, Dept. of Civil Engineering, Univ. of Hong Kong, Hong Kong SAR, China (corresponding author). ORCID: https://orcid.org/0000-0002-5684-4697. Email: [email protected]
Omar Wani, Ph.D. [email protected]
Assistant Professor, Dept. of Civil and Urban Engineering, New York Univ., New York, Brooklyn 11201. Email: [email protected]
Ying Bai, Ph.D. [email protected]
The National Key Laboratory of Water Disaster Prevention, Hydrology and Water Resources Dept., Nanjing Hydraulic Research Institute, Nanjing 210029, China. Email: [email protected]
Kun Wang, Ph.D. [email protected]
The National Key Laboratory of Water Disaster Prevention, Hydrology and Water Resources Dept., Nanjing Hydraulic Research Institute, Nanjing 210029, China. Email: [email protected]
Professor, Eawag, Swiss Federal Institute of Aquatic Science and Technology, Dübendorf 8600, Switzerland. ORCID: https://orcid.org/0000-0002-7371-0543. Email: [email protected]

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