Abstract
Hydrodynamic models have been widely used in urban flood modelling. Due to the prohibitive computational cost, most of urban flood simulations have been currently carried out at low spatial resolution or in small localised domains, leading to unreliable predictions. With the recent advance in high-performance computing technologies, GPU-accelerated hydrodynamic models are now capable of performing high-resolution simulations at a city scale. This paper presents a multi-GPU hydrodynamic model applied to reproduce a flood event in a 267.4 km2 urbanised domain in Fuzhou, Fujian Province, China. At 2 m resolution, the simulation is completed in nearly real time, demonstrating the efficiency and robustness of the model for high-resolution flood modelling. The model is used to further investigate the effects of varying spatial resolution and using localised domains on the simulation results. It is recommended that urban flood simulations should be performed at resolutions higher than 5 m and localised simulations may introduce unacceptable numerical errors.
Highlights
With the ongoing rapid urbanisation and climate change, flood risk is expected to significantly increase in the twenty-first century and beyond (IPCC 2014)
HiPIMS is used to reproduce the severe urban flood event induced by Typhoon Megi in the 267.4 km2 domain of Fuzhou City
This paper presents a High-Performance Integrated hydrodynamic Modelling System (HiPIMS) for application in reproducing a severe flood event induced by typhoon rainfall in a 267.4 km2 urbanised domain in the city of Fuzhou, China
Summary
With the ongoing rapid urbanisation and climate change, flood risk is expected to significantly increase in the twenty-first century and beyond (IPCC 2014). Smith et al (2015) applied the GPU-accelerated hydrodynamic model developed by Smith and Liang (2013) using the OpenCL programming framework to reproduce the January 2005 flood in Carlisle, UK, and compared the model performance on different hardware devices They confirmed that a high-spec GPU could speed up the same simulation for more than 20 times in comparison with a multi-CPU server. Attempts have been reported to achieve superior computational speed using multi-GPU parallelisation (e.g. Sætra and Brodtkorb 2012) These GPU-accelerated hydrodynamic models have provided effective tools to support large-scale high-resolution flood modelling at an unprecedented computational speed (Liang et al 2016).
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