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

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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.

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Acknowledgment

We thank Dr. Maxine Garcia, from Liwen Bianji (Edanz) (www.liwenbianji.cn/) for editing the English text of a draft of this manuscript.

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Authors and Affiliations

  1. School of Water Resources and Hydropower Engineering, North China Electric Power University, Bei**g, 102206, China

    Shang-hong Zhang, Rong-qi Zhang, Wen-da Li, **-yan Yang & Yang Zhou

  2. Hubei Key Laboratory of Intelligent Yangtze and Hydroelectric Science, China Yangtze Power Co., Ltd., Yichang, 443133, China

    Wen-da Li

Authors
  1. Shang-hong Zhang
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  2. Rong-qi Zhang
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Correspondence to Yang Zhou.

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Conflict of interest: The authors declare that they have no conflict of interest. All authors declare that there are no other competing interests.

Ethical approval: This article does not contain any studies with human participants or animals performed by any of the authors.

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Additional information

Project supported by the National Key Research and Development Program of China (Grant No. 2022YFC3202004), the National Natural Science Foundation of China (Grant No. 51979105).

Biography: Shang-hong Zhang (1977-), Male, Ph. D., Professor

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Zhang, Sh., Zhang, Rq., Li, Wd. et al. High-precision parallel computing model of solute transport based on GPU acceleration. J Hydrodyn 36, 202–212 (2024). https://doi.org/10.1007/s42241-024-0015-9

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  • DOI: https://doi.org/10.1007/s42241-024-0015-9

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