Liu, J.; Zheng, M.; Gao, J.; Wang, X.; Zhang, H.; Jiang, S. A Generalization of the Drainage Capacity in Data-Scarce Urban Areas: An Improved Equivalent Infiltration Method. Water2024, 16, 589.
Liu, J.; Zheng, M.; Gao, J.; Wang, X.; Zhang, H.; Jiang, S. A Generalization of the Drainage Capacity in Data-Scarce Urban Areas: An Improved Equivalent Infiltration Method. Water 2024, 16, 589.
Liu, J.; Zheng, M.; Gao, J.; Wang, X.; Zhang, H.; Jiang, S. A Generalization of the Drainage Capacity in Data-Scarce Urban Areas: An Improved Equivalent Infiltration Method. Water2024, 16, 589.
Liu, J.; Zheng, M.; Gao, J.; Wang, X.; Zhang, H.; Jiang, S. A Generalization of the Drainage Capacity in Data-Scarce Urban Areas: An Improved Equivalent Infiltration Method. Water 2024, 16, 589.
Abstract
This article addresses the challenge of simulating rainstorm waterlogging in urban-scale areas where reliable drainage pipe network data is often lacking. Despite existing methods attempting to tackle this issue, there remains a gap in effectiveness. We present a novel approach, the Modified Equivalent Infiltration (MEI) method, building upon the foundation of the Equivalent Infiltration (EI) method. The study focuses on the outer ring area of Shanghai, utilizing data from the "In-Fa" typhoon period for simulation and comparison. Our findings reveal that the MEI method, requiring the same data inputs as the EI method, surpasses its predecessor in both principle and simulation results. Additionally, the MEI method demonstrates robustness in handling rainstorm waterlogging scenarios.
Engineering, Safety, Risk, Reliability and Quality
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
