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The mixed layer modified radionuclide atmospheric diffusion based on Gaussian model
BACKGROUND: Atmospheric diffusion is often accompanied by complex meteorological conditions of inversion temperature. METHODS: In response to the emergency needs for rapid consequence assessment of nuclear accidents under these complex meteorological conditions, a Gaussian diffusion-based model of r...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9846814/ https://www.ncbi.nlm.nih.gov/pubmed/36684942 http://dx.doi.org/10.3389/fpubh.2022.1097643 |
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author | Li, Ting Zheng, Xiaolei Yu, Shengpeng Wang, Jin Cheng, Jie Liu, Jie |
author_facet | Li, Ting Zheng, Xiaolei Yu, Shengpeng Wang, Jin Cheng, Jie Liu, Jie |
author_sort | Li, Ting |
collection | PubMed |
description | BACKGROUND: Atmospheric diffusion is often accompanied by complex meteorological conditions of inversion temperature. METHODS: In 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. RESULTS: The 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. CONCLUSIONS: This 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. |
format | Online Article Text |
id | pubmed-9846814 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-98468142023-01-19 The mixed layer modified radionuclide atmospheric diffusion based on Gaussian model Li, Ting Zheng, Xiaolei Yu, Shengpeng Wang, Jin Cheng, Jie Liu, Jie Front Public Health Public Health BACKGROUND: Atmospheric diffusion is often accompanied by complex meteorological conditions of inversion temperature. METHODS: In 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. RESULTS: The 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. CONCLUSIONS: This 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. Frontiers Media S.A. 2023-01-04 /pmc/articles/PMC9846814/ /pubmed/36684942 http://dx.doi.org/10.3389/fpubh.2022.1097643 Text en Copyright © 2023 Li, Zheng, Yu, Wang, Cheng and Liu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Public Health Li, Ting Zheng, Xiaolei Yu, Shengpeng Wang, Jin Cheng, Jie Liu, Jie The mixed layer modified radionuclide atmospheric diffusion based on Gaussian model |
title | The mixed layer modified radionuclide atmospheric diffusion based on Gaussian model |
title_full | The mixed layer modified radionuclide atmospheric diffusion based on Gaussian model |
title_fullStr | The mixed layer modified radionuclide atmospheric diffusion based on Gaussian model |
title_full_unstemmed | The mixed layer modified radionuclide atmospheric diffusion based on Gaussian model |
title_short | The mixed layer modified radionuclide atmospheric diffusion based on Gaussian model |
title_sort | mixed layer modified radionuclide atmospheric diffusion based on gaussian model |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9846814/ https://www.ncbi.nlm.nih.gov/pubmed/36684942 http://dx.doi.org/10.3389/fpubh.2022.1097643 |
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