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Analysis of Drainage Efficiency under Extreme Precipitation Events Based on Numerical Simulation
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  • Haoyu Wang,
  • Huiliang Wang,
  • Hao Li,
  • Muhammad Faisal,
  • Yisheng Zhang
Haoyu Wang
School of Water Conservancy Engineering Zhengzhou University Zhengzhou 450001 China

Corresponding Author:[email protected]

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Huiliang Wang
School of Water Conservancy Engineering Zhengzhou University Zhengzhou 450001 China
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Hao Li
School of Water Conservancy Engineering Zhengzhou University Zhengzhou 450001 China
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Muhammad Faisal
School of Water Conservancy Engineering Zhengzhou University Zhengzhou 450001 China
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Yisheng Zhang
School of Water Conservancy Engineering Zhengzhou University Zhengzhou 450001 China
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Abstract

The recent increase in extreme climatic phenomena has gradually attracted the attention of researchers regarding urban flooding. This paper used a hydrological model combined with the Computational Fluid Dynamics software to assess the drainage efficiency, predict the hydrological processes under different precipitation intensities and establish the relationship between rainfall intensity and inundation depth under extreme rainstorm events. The study proposed several thresholds such as specific rainfall intensities (that is, RI 95% and RI 50%), drainage efficiency, and the limited flow rate of pipes. Based on 2021 July 20, 0:00 to 24:00 precipitation monitoring data from the “7.20 Zhengzhou Rainstorm Extreme Event”, the relationship between rainfall intensity and road-pipe overflow patterns was determined by analyzing these thresholds for different drainpipe diameters and spacings of catchment wells. The results demonstrated the evaluation parameters varied with rainfall intensities and pipe characteristics and revealed the main limitation of drainage efficiency and flow rate of drainpipes. The simulation helped the drainage systems design for different precipitations and proposed several relative suggestions for drainage-system improvements, wherein the diameter of the branch pipes plays a dominant role in coping with extreme rainstorm events.
Jun 2022Published in Hydrological Processes volume 36 issue 6. 10.1002/hyp.14624