Analysis of Effect of Rainfall Patterns on Urban Flood Process by Coupled Hydrological and Hydrodynamic Modeling
Publication: Journal of Hydrologic Engineering
Volume 25, Issue 1
Abstract
Urban flooding poses an increasing threat to citizens and property and has become a global challenge. The primary cause of urban flooding is rapid urbanization, which is outpacing infrastructure development and drainage system improvements. This paper utilizes a verified flood model that couples hydrological and hydrodynamic processes to investigate the flood response under rainfall events with different patterns. A sponge city pilot area in China is taken as a case study. Drainage system performance, surface inundation patterns, and relation between them are investigated by carrying out statistical analysis and Pearson correlation analysis, respectively. Results show that with increases in the rainfall recurrence interval (RRI) and peak position ratio (PPR), drainage system performance indicators (DSPIs) generally become worse, and the total inundation area (TIA) and surface inundation areas of larger depths become larger. The response time exhibits varied patterns but generally decreases with increasing recurrence intervals and peak ratios. For surface inundation, the recurrence interval presents an increasingly significant role compared with the peak ratio as rainfall becomes heavier. Compared with other DSPIs, the volume of overflowed manholes (VOMs) shows a delayed response to rainfall and has a stronger relationship with the inundation areas with greater water depths, which indicates a possible solution of utilizing manhole storage for water management and flood control. Analyzing the response of drainage systems and flood patterns to different rainfall events using a model coupling hydrological and hydrodynamic processes comprehensively reveals the specific problems of the study area and possible innovative solutions. The analytical method and knowledge gained can help support urban flood management in China and around the world.
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Acknowledgments
This work was financially supported by the National Natural Science Foundation of China (Grant No. 51579007), the National Key Research and Development Program (Grant No. 2017YFC1502701), and the 2018 Graduate Innovation Fund of the Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology. The first author would like to acknowledge the great support of the College of Water Sciences, Beijing Normal University and Eawag (Swiss Federal Institute of Aquatic Science and Technology). The authors also want to extend their thanks to the anonymous reviewers. This article was substantially improved in accordance to their useful comments and suggestions.
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Published In
Journal of Hydrologic Engineering
Volume 25 • Issue 1 • January 2020
Copyright
©2019 American Society of Civil Engineers.
History
Received: Dec 5, 2018
Accepted: Aug 23, 2019
Published online: Nov 15, 2019
Published in print: Jan 1, 2020
Discussion open until: Apr 15, 2020
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