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Small-scale deposition behavior of radioactive plutonium aerosols in hilly terrain

  • Miao Yang
  • , Xingfu Cai
  • , Yurui Shao
  • , Jiale Tian
  • , Sufen Li
  • , Yonggang Huo
  • , Sheng Fang
  • , Mingjun Wang
  • Rocket Force University of Engineering
  • Institute of Nuclear and New Energy Technology
  • Tsinghua University

科研成果: 期刊稿件 › 文章 › 同行评审

摘要

Plutonium can be an important radionuclide that may be released during nuclear accidents, but its deposition behavior is insufficiently studied, leading to inaccurate radiological consequence assessment of nuclear accident. Plutonium is an important radionuclide that may be released during nuclear accidents, yet its deposition behavior remains insufficiently understood, leading to uncertainties in radiological consequence assessment. By comparing cylindrical and variable-diameter initial smoke clouds, the effects of cloud morphology on aerosol dispersion and deposition are quantified, and the sensitivities of five key parameters are evaluated. Results show that terrain-induced flow governs aerosol spatial distribution, whereas the initial cloud shape controls particle transport. The cylindrical cloud model produces relatively uniform deposition (28.6% in the windward region, 11.7% in the hilly region, 9.53% in the leeward region, and 50.1% escaping through the outlet). In contrast, the variable-diameter smoke-cloud model exhibits stronger downstream transport, with 70.57% of the released mass escaping through the outlet. Particle size also strongly affects deposition. Large particles (90–450 μm) produce localized near-field contamination, whereas small and medium-sized particles (0–90 μm) contribute to far-field inhalation risk. Sensitivity analysis indicates that the turbulence dissipation constant Cε2 exhibits the strongest overall association with the regional responses in the cylindrical smoke-cloud model and remains influential in the variable-diameter model, while the ground roughness exponent α and particle-size distribution parameter n show strong spatially dependent associations with selected regional responses. The proposed CFD-DPM model and sensitivity analysis framework provide theoretical and methodological support for contamination assessment and emergency decision-making.

源语言英语
期刊论文编号112736
期刊Annals of Nuclear Energy
卷241
DOI
出版状态已出版 - 2月 2027

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