Environmental Modeling & Assessment

, Volume 23, Issue 4, pp 401–414 | Cite as

Radioactive Contamination Control by Atmospheric Dispersion Assessment of Airborne Indicator Contaminants: Numerical Model Validation

  • Ahmed DahiaEmail author
  • Djemai Merrouche
  • Tahar Rezoug


In this work, a numerical model is proposed to estimate air concentration of released airborne radioactive contaminants 131I and 137Cs. A Gaussian dispersion model is used to assess the atmospheric dispersion of radioactive contaminants released continuously from a nuclear power plant as a result of an accident. The model uses various input parameters such as source height, release rate, stability class, wind speed, and wind direction. The validation of the model was carried out by comparing its predicted values with published experimental data. The model was extensively tested by simulating several accidental situations. The main conclusion drawn from these tests is that for large downwind distances from the release point, the contaminant concentrations predicted by the model diverge drastically from measured data, while for short distances, the predicted values generally agree quite well with experimental data. The obtained activity concentrations range from 1.57 × 102 to 6.43 × 103 Bq/m3 for 131I and from 3.18 × 10−2 to 9.72 × 102 Bq/m3 for 137Cs. The estimated standard deviation coefficients values range of 7.2 to 6847.7 m, and the maximum absolute error predicted by the model for these parameters was less than 5%.


Atmospheric dispersion Fukushima accident Radioactive contaminant Gaussian model 



This work was carried out as part of an internal project in Birine Nuclear Research Center (CRNB) and was supported by funding from the Algerian Atomic Energy Commission (COMENA). Authors thank the Laboratory of Aeronautics Science of Blida University that hosted and provided all the help to get this work underway. Authors express also their gratitude to Pr. Khelifa Abdellah from Blida University, Mr. Aguedal Hakim from Mostaganem University, Algeria, Dr. Ezzeddine F. Hutli from Budapest University of Technology and Economics, and Ms. Csilla Rudas from Centre for Energy Research Hungarian Academy of Science, Hungary, for their useful comments and suggestions to the manuscript of this work.


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Nuclear Research Center of BirineAin-OusseraAlgeria
  2. 2.Aeronautical Sciences Laboratory, Aeronautics and Space Studies InstituteBlida University 1BlidaAlgeria

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