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<p>Urban areas face increasing challenges from both flood risks and water scarcity due to climate change and rapid urbanization. To overcome the limitation of traditional stormwater management, this study develops an integrated framework using hydraulic modeling and multi-objective optimization to leverage existing in-pipe storage capacity, simultaneously achieving both flood control and stormwater harvesting. In this study, two open-source benchmark cases (with areas of 15.8&#xa0;ha and 180.2&#xa0;ha) and two calibrated and validated real-world cases (29&#xa0;ha and 127&#xa0;ha) are used for simulation. The Urban block drainage case has a relatively high design standard and clear subcatchment division, while the Campus drainage case is old, with a low design standard and disordered pipeline layout. Validated across four case studies, the framework demonstrated significant performance improvement. The NSGA-II optimization algorithm successfully balanced both objectives without performance trade-offs: flood reduction decreased (from 35.8% to 6.3%) while harvesting utilization increased (from 80.1% to 93.0%). Network architecture, however, was the fundamental determinant of optimization potential. Under similar return period storms, the well-performing Urban block case achieved a 35.8% flood reduction, while the Campus case with poorer network performance achieved only 6.7%. This approach transforms drainage infrastructure into a multi-functional system that simultaneously addresses flooding and water scarcity, offering a cost-effective investment alternative for resource-constrained urban areas.</p>

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Coordinating Flood Control and Stormwater Harvesting Through Optimization of In-pipe Storage Capacity Use in Urban Stormwater Drainage System

  • 期刊论文

  • 发表日期：

    2026年4月21日

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  • Yunchong Liu,
  • Zi Hui

摘要

Urban areas face increasing challenges from both flood risks and water scarcity due to climate change and rapid urbanization. To overcome the limitation of traditional stormwater management, this study develops an integrated framework using hydraulic modeling and multi-objective optimization to leverage existing in-pipe storage capacity, simultaneously achieving both flood control and stormwater harvesting. In this study, two open-source benchmark cases (with areas of 15.8 ha and 180.2 ha) and two calibrated and validated real-world cases (29 ha and 127 ha) are used for simulation. The Urban block drainage case has a relatively high design standard and clear subcatchment division, while the Campus drainage case is old, with a low design standard and disordered pipeline layout. Validated across four case studies, the framework demonstrated significant performance improvement. The NSGA-II optimization algorithm successfully balanced both objectives without performance trade-offs: flood reduction decreased (from 35.8% to 6.3%) while harvesting utilization increased (from 80.1% to 93.0%). Network architecture, however, was the fundamental determinant of optimization potential. Under similar return period storms, the well-performing Urban block case achieved a 35.8% flood reduction, while the Campus case with poorer network performance achieved only 6.7%. This approach transforms drainage infrastructure into a multi-functional system that simultaneously addresses flooding and water scarcity, offering a cost-effective investment alternative for resource-constrained urban areas.