High-Resolution Simulation and Monitoring of Urban Flood Processes at the Campus Scale
Publication: Journal of Hydrologic Engineering
Volume 26, Issue 8
Abstract
Accurate and rapid simulation and monitoring of urban inundation play important roles in urban flood prediction and warning. This paper presents a case study of campus-scale rainfall-flood inundation, including simulation and monitoring work, conducted at Xi’an University of Technology. A surface hydrodynamic numerical model based on graphics processing unit (GPU) acceleration technology is proposed. It is termed as GPU-accelerated surface water flow and associated transport (GAST), and is employed to simulate and analyze the rainfall runoff process and the drainage pipe network process of the study area. A uniform grid of units with a high resolution of 1 m was used. Moreover, a monitoring system was established in the study area to dynamically monitor and acquire data in real time, including the water level in the drainage pipe network, rainfall, and inundation. Eventually, the monitoring system provides observed data for validating the model. The findings from this study indicate that inundation and the drainage process can be effectively computed by the model. The GPU accelerates the simulation time approximately 2.9 times faster than real time. This study proposed a novel approach for disaster prevention and the mitigation of urban flooding. In addition, the system can produce a data set to help validate numerical models for small-scale urban flood processes.
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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
This work was supported by the National Key Research and Development Program of China under Grant No. 2016YFC0402704; the National Natural Science Foundation of China under Grant No. 51609199; the Shaanxi International Science and Technology Cooperation and Exchange Program under Grant No. 2017KW-014; and the Basic Research on The Sponge City of Fengxi New Town in Xixian New Area under Grant No. 2018610002000097. The authors greatly appreciate the editors and reviewers for their helpful comments and valuable insights, which significantly improved the paper.
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Journal of Hydrologic Engineering
Volume 26 • Issue 8 • August 2021
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© 2021 American Society of Civil Engineers.
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Received: Nov 2, 2020
Accepted: Apr 22, 2021
Published online: Jun 11, 2021
Published in print: Aug 1, 2021
Discussion open until: Nov 11, 2021
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