New prospects for computational hydraulics by leveraging high-performance heterogeneous computing techniques

Liang, Qiuhua; Smith, Luke; Xia, Xilin

doi:10.1016/s1001-6058(16)60699-6

Cited by 23 publications

(19 citation statements)

References 23 publications

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“…More recently, the high‐performance computing power provided by modern graphics processing units (GPUs) has led to a step change in the flood modeling practice (e.g., Smith & Liang, 2013). We are now able to simulate the detailed dynamics of a flood event at a high spatial resolution across an entire city/catchment involving tens of millions of computational cells in real time (Liang et al, 2016; Xia et al, 2019). However, the exploitation of these latest high‐performance flood modeling technologies in flood risk assessment and forecasting is still at an embryonic stage, and more research effort is needed (e.g., Flack et al, 2019; Morsy et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Real‐Time Flood Forecasting Based on a High‐Performance 2‐D Hydrodynamic Model and Numerical Weather Predictions

Ming

Liang

Xia

et al. 2020

Water Resources Research

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160

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A flood forecasting system commonly consists of at least two essential components, that is, a numerical weather prediction (NWP) model to provide rainfall forecasts and a hydrological/hydraulic model to predict the hydrological response. While being widely used for flood forecasting, hydrological models only provide a simplified representation of the physical processes of flooding due to negligence of strict momentum conservation. They cannot reliably predict the highly transient flooding process from intense rainfall, in which case a fully 2‐D hydrodynamic model is required. Due to high computational demand, hydrodynamic models have not been exploited to support real‐time flood forecasting across a large catchment at sufficiently high resolution. To fill the current research and practical gaps, this work develops a new forecasting system by coupling a graphics processing unit (GPU) accelerated hydrodynamic model with NWP products to provide high‐resolution, catchment‐scale forecasting of rainfall‐runoff and flooding processes induced by intense rainfall. The performance of this new forecasting system is tested and confirmed by applying it to “forecast” an extreme flood event across a 2,500‐km2 catchment at 10‐m resolution. Quantitative comparisons are made between the numerical predictions and field measurements in terms of water level and flood extent. To produce simulation results comparing well with the observations, the new flood forecasting system provides 34 hr of lead time when the weather forecasts are available 36 hr beforehand. Numerical experiments further confirm that uncertainties from the rainfall inputs are not amplified by the hydrodynamic model toward the final flood forecasting outputs in this case.

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Section: Introductionmentioning

confidence: 99%

Real‐Time Flood Forecasting Based on a High‐Performance 2‐D Hydrodynamic Model and Numerical Weather Predictions

Ming

Liang

Xia

et al. 2020

Water Resources Research

Self Cite

160

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“…Saetra 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). However, no attempt has been made to apply this latest hydrodynamic modelling technology to support flood simulation across an entire city and systematically investigate the effects of spatial resolution and scale on the simulation results.…”

Section: Introductionmentioning

confidence: 99%

City-scale hydrodynamic modelling of urban flash floods: the issues of scale and resolution

et al. 2018

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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 km 2 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.

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“…To achieve this, computational acceleration techniques have been greatly progressed in recent years (see, e.g., [15][16][17][18]). Among them, the GPU-based High-Performance Integrated Hydrodynamic Modelling System (HiPIMS) has been favored (see, e.g., [19][20][21][22]) and is the focus of this paper.…”

Section: Introductionmentioning

confidence: 99%

“…The HiPIMS is based on a regular uniform computational grid and fully 2D shallow water equations. In order to deal with rainfall input, an R vector was inserted into HiPIMS as one of the source terms (see in detail [22]). This added term was expressed as the product of a surface runoff coefficient and observed rainfall, instead of solutions based on the Kostiakov equation (e.g., [23]), Green-Ampt model (e.g., [24]), and Richard model (e.g., [25]).…”

Section: Introductionmentioning

confidence: 99%

Sensitivity Analysis of the Surface Runoff Coefficient of HiPIMS in Simulating Flood Processes in a Large Basin

Wang

Yang

2018

Water

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To simulate flood processes at the basin level, the GPU-based High-Performance Integrated Hydrodynamic Modelling System (HiPIMS) is gaining interest as computational capability increases. However, the difficulty of coping with rainfall input to HiPIMS reduces the possibility of acquiring a satisfactory simulation accuracy. The objective of this study is to test the sensitivity of the surface runoff coefficient in the HiPIMS source term in the Misai basin with an area of 797 km 2 in south China. To achieve this, the basin was divided into 909,824 grid cells, to each of which a Manning coefficient was assigned based on its land use type interpreted from remote sensing data. A sensitivity analysis was conducted for three typical flood processes under four types of surface runoff coefficients, assumed a priori, upon three error functions. The results demonstrate the crucial role of the surface runoff coefficient in achieving better simulation accuracy and reveal that this coefficient varies with flood scale and is unevenly distributed over the basin.

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New prospects for computational hydraulics by leveraging high-performance heterogeneous computing techniques

Cited by 23 publications

References 23 publications

Real‐Time Flood Forecasting Based on a High‐Performance 2‐D Hydrodynamic Model and Numerical Weather Predictions

Real‐Time Flood Forecasting Based on a High‐Performance 2‐D Hydrodynamic Model and Numerical Weather Predictions

City-scale hydrodynamic modelling of urban flash floods: the issues of scale and resolution

Sensitivity Analysis of the Surface Runoff Coefficient of HiPIMS in Simulating Flood Processes in a Large Basin

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