Study on the Diffusion Law of Radionuclides Based on the Improved Gaussian Plume Model

This study aims to improve the prediction accuracy of the diffusion trajectory of radioactive pollutants in the atmosphere. First, based on the traditional Gaussian plume model, the model is improved by introducing two key control factors: rainfall intensity and ground roughness. Secondly, the factors affecting gas diffusion under different rainfall intensities and ground roughness are analyzed, as well as the diffusion characteristics of radioactive pollutants in the atmosphere under the influence of these two factors. Finally, taking the radioactive nuclide leakage of Daya Bay Nuclear Power Station as an example, according to the analysis of the concentration distribution characteristics in the downwind and crosswind directions, the results show that rainfall intensity and ground roughness have a significant effect on the diffusion concentration and diffusion range of radioactive nuclides. With the increase of rainfall intensity and the improvement of ground roughness, the diffusion concentration is significantly reduced, and the area of the dangerous area is significantly reduced. Compared with the traditional simulation results, the improved model is reasonable and has certain guiding significance, which provides a scientific basis for nuclear accident emergency response and risk assessment.

Authors

Institutions

Publication Details

Journal
Scientific and Social Research
Published
2025-05-02
DOI
https://doi.org/10.26689/ssr.v7i4.10488
Primary Topic
Nuclear reactor physics and engineering
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Study on the Diffusion Law of Radionuclides Based on the Improved Gaussian Plume Model

Mi Gan, Yue Li, Jianyong Dai
Scientific and Social Research
Nuclear reactor physics and engineering
article

Study on the Diffusion Law of Radionuclides Based on the Improved Gaussian Plume Model

Mi Gan, Yue Li, Jianyong Dai
article en

Abstract

This study aims to improve the prediction accuracy of the diffusion trajectory of radioactive pollutants in the atmosphere. First, based on the traditional Gaussian plume model, the model is improved by introducing two key control factors: rainfall intensity and ground roughness. Secondly, the factors affecting gas diffusion under different rainfall intensities and ground roughness are analyzed, as well as the diffusion characteristics of radioactive pollutants in the atmosphere under the influence of these two factors. Finally, taking the radioactive nuclide leakage of Daya Bay Nuclear Power Station as an example, according to the analysis of the concentration distribution characteristics in the downwind and crosswind directions, the results show that rainfall intensity and ground roughness have a significant effect on the diffusion concentration and diffusion range of radioactive nuclides. With the increase of rainfall intensity and the improvement of ground roughness, the diffusion concentration is significantly reduced, and the area of the dangerous area is significantly reduced. Compared with the traditional simulation results, the improved model is reasonable and has certain guiding significance, which provides a scientific basis for nuclear accident emergency response and risk assessment.

Scientific and Social ResearchVol. 7(4)
University of South China (CN), Hunan Institute of Technology (CN)
Openalex Percentile: Top 87%
Nuclear reactor physics and engineering
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Study on the Diffusion Law of Radionuclides Based on the Improved Gaussian Plume Model — Mi Gan, Yue Li, et al. · Scientific and Social Research (2025) | TGRS Research Map | TGRS