Frontiers in Public Health (Jan 2023)

The mixed layer modified radionuclide atmospheric diffusion based on Gaussian model

  • Ting Li,
  • Ting Li,
  • Xiaolei Zheng,
  • Shengpeng Yu,
  • Jin Wang,
  • Jin Wang,
  • Jie Cheng,
  • Jie Cheng,
  • Jie Liu,
  • Jie Liu

DOI
https://doi.org/10.3389/fpubh.2022.1097643
Journal volume & issue
Vol. 10

Abstract

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BackgroundAtmospheric diffusion is often accompanied by complex meteorological conditions of inversion temperature.MethodsIn response to the emergency needs for rapid consequence assessment of nuclear accidents under these complex meteorological conditions, a Gaussian diffusion-based model of radionuclide is developed with mixed layer modification. The inhibition effect of the inversion temperature on the diffusion of radionuclides is modified in the vertical direction. The intensity of the radionuclide source is modified by the decay constant.ResultsThe results indicate that the enhancement effect of the mixed layer on the concentration of radionuclides is reflected. The shorter the half-life of the radionuclide, the greater the effect of reducing the diffusion concentration. The Kincaid dataset validation in the Model Validation Kit (MVK) shows that, compared to the non-modified model, predictions of the modified model have an enhancement effect beyond 5 km, modulating the prediction values to be closer to the observation values.ConclusionsThis development is consistent with the modification effects of the mixed layer. The statistical indicators show that the criteria of the modified model meet the criteria of the recommended model.

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