The radon from uranium tailings spreads fast and has a wide range of pollution, which poses a potential radiation hazard to the environment and the public in downwind region. In this paper, the open and naked uranium tailings are selected as research object. By setting up multiple Gaussian plume models with single point source, the diffusion of radon in the uranium tailings is simulated with different atmospheric stability, average wind speed, height and downwind distance. The results show that the maximum radon concentration increases while the related downwind distance decreases as the atmospheric becoming stable. The higher wind speed does not affect the downwind distance where the maximum radon concentration occurs, but it decreases the maximum radon concentration. The concentration of radon in residential area decreases but the decreasing rate speeds up with height going up. The distribution of radon in vertical and horizontal direction tends to be homogeneous while the near-surface area concentration decreases rapidly as farther downwind distance.
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2018 26th International Conference on Nuclear Engineering
July 22–26, 2018
London, England
Conference Sponsors:
- Nuclear Engineering Division
ISBN:
978-0-7918-5146-3
PROCEEDINGS PAPER
Diffusion Law and Simulation Analysis of Radon in Uranium Tailings Based on Multiple Gauss Plume Model
Jiaxin Wang,
Jiaxin Wang
Tsinghua University, Beijing, China
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Liguo Zhang,
Liguo Zhang
Tsinghua University, Beijing, China
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Jingyuan Qu,
Jingyuan Qu
Tsinghua University, Beijing, China
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Jiejuan Tong
Jiejuan Tong
Tsinghua University, Beijing, China
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Jiaxin Wang
Tsinghua University, Beijing, China
Guohua Wu
Tsinghua University, Beijing, China
Liguo Zhang
Tsinghua University, Beijing, China
Jingyuan Qu
Tsinghua University, Beijing, China
Jiejuan Tong
Tsinghua University, Beijing, China
Paper No:
ICONE26-81189, V004T06A008; 6 pages
Published Online:
October 24, 2018
Citation
Wang, J, Wu, G, Zhang, L, Qu, J, & Tong, J. "Diffusion Law and Simulation Analysis of Radon in Uranium Tailings Based on Multiple Gauss Plume Model." Proceedings of the 2018 26th International Conference on Nuclear Engineering. Volume 4: Nuclear Safety, Security, and Cyber Security; Computer Code Verification and Validation. London, England. July 22–26, 2018. V004T06A008. ASME. https://doi.org/10.1115/ICONE26-81189
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