High-precision parallel computing model of solute transport based on GPU acceleration

Abstract

The scenario simulation analysis of water environmental emergencies is very important for risk prevention and control, and emergency response. To quickly and accurately simulate the transport and diffusion process of high-intensity pollutants during sudden environmental water pollution events, in this study, a high-precision pollution transport and diffusion model for unstructured grids based on Compute Unified Device Architecture (CUDA) is proposed. The finite volume method of a total variation diminishing limiter with the Kong proposed r-factor is used to reduce numerical diffusion and oscillation errors in the simulation of pollutants under sharp concentration conditions, and graphics processing unit acceleration technology is used to improve computational efficiency. The advection diffusion process of the model is verified numerically using two benchmark cases, and the efficiency of the model is evaluated using an engineering example. The results demonstrate that the model perform well in the simulation of material transport in the presence of sharp concentration. Additionally, it has high computational efficiency. The acceleration ratio is 46 times the single-thread acceleration effect of the original model. The efficiency of the accelerated model meet the requirements of an engineering application, and the rapid early warning and assessment of water pollution accidents is achieved.