The characteristics of the vertical distribution of radionuclide in free troposphere from simplified release scenarios: a case study

Xiangming Sun1, Keng Yeow Chung1, Qiudan Dai2
1 Singapore Nuclear Research and Safety Initiative
2 Institute of Atmospheric Physics, Chinese Academy of Sciences

Main Article Content

Abstract

Dose estimation in the upper air is not studied as much as on ground level or in boundary layer. However, there is a need from stakeholders in aviation industry for a reasonable estimation of the radioactive plume impact at cruising levels. This study aims to provide a quantitative estimation of the dose and how reliable it is for dispersion processes up to seven days. A Lagrangian atmospheric dispersion model is used to estimate quantitively the vertical extension of radionuclides from simplified hypothetical radionuclide release scenarios. Sources at different latitudes are selected for simulation in a boreal winter case. Three meteorological data are examined to test the sensitivity of vertical plume distribution to driving meteorological data. The vertical distribution of air concentration of radionuclides is investigated and the associated uncertainties are analysed. It is found that the vertical extension of plumes is sensitive to meteorological data being used where vertical turbulent velocities play an important role. It is therefore necessary to address the uncertainties of air concentration or dose in the free troposphere and caution must be taken when providing the results to stakeholders.

Article Details

Author Biographies

Xiangming Sun, Singapore Nuclear Research and Safety Initiative

1 CREATE Way, #04-01, CREATE Tower, 138602, Singapore

Keng Yeow Chung, Singapore Nuclear Research and Safety Initiative

1 CREATE Way, #04-01, CREATE Tower, 138602, Singapore

Qiudan Dai, Institute of Atmospheric Physics, Chinese Academy of Sciences

Beijing 100029, China

References

[1]. Á. Leelőssya, I. Lagzib, A. Kovácsa, et al., “A review of numerical models to predict the atmospheric dispersion of radionuclides”, J. Environ. Radioact., 182, pp. 20-33 (2018). https://doi.org/10.1016/j.jenvrad.2017.11.009.
[2]. I. Korsakissok, A. Mathieu, D. Didier, “Atmospheric dispersion and ground deposition induced by the Fukushima Nuclear Power Plant accident: A local-scale simulation and sensitivity study”, Atmos. Environ., 70, pp. 267-279 (2013).
http://dx.doi.org/10.1016/j.atmosenv.2013.01.002.
[3]. G.-S. Choi, J.-M. Lim, K.-S. Lim, et al., “Characteristics of regional scale atmospheric dispersion around Ki-Jang research reactor using the Lagrangian Gaussian puff dispersion model”, Nucl. Eng. Technol., 50, pp. 68-79 (2018).
https://doi.org/10.1016/j.net.2017.10.002.
[4]. K. Silva, P. Krisanungkura, N. Khunsrimek, et al., “Inter-comparison of transboundary atmospheric dispersion calculations: A summary of outputs from the ASEAN NPSR benchmark exercise”, Prog. Nucl. Energy, 135, pp. 1-12, (2021).
https://doi.org/10.1016/j.pnucene.2021.103718.
[5]. M. Ulimoen, E. Berge, H. Klein, et al., “Comparing model skills for deterministic versus ensemble dispersion modelling: The Fukushima Daiichi NPP accident as a case study”, Sci. Total Environ., 806, pp. 1-17 (2022).
https://doi.org/10.1016/j.scitotenv.2021.150128.
[6]. R. R. Draxler and G. D. Hess, “An Overview of the HYSPLIT_4 Modelling System for Trajectories, Dispersion, and Deposition”, Aust. Meteorol. Mag., 47, pp. 295-308 (1998).
[7]. A. F. Stein, R. R. Draxler, G. D. Rolph, et al., “NOAA's HYSPLIT atmospheric transport and dispersion modeling system”, Bull. Amer. Meteor. Soc., 96, pp. 2059-2077 (2015). https://doi.org/10.1175/BAMS-D-14-00110.1.
[8]. J. Brioude, D. Arnold, A. Stohl, et al., “The Lagrangian particle dispersion model FLEXPART-WRF”, Geosci. Model Dev., 6, pp. 1889-1904 (2013). https://doi.org/10.5194/gmd-6-1889-2013.
[9]. I. Pisso, E. Sollum, H. Grythe, N. I. Kristiansen, et al., “The Lagrangian particle dispersion model FLEXPART version 10.4”, Geosci. Model Dev., 12, pp 4955-4997 (2019). https://doi.org/10.5194/gmd-12-4955-2019.
[10]. A. Bátkai, P. Csomós, I. Faragó, et al., “Chapter 5 Eulerian and Lagrangian Approaches for Modelling of Air Quality” in Mathematical Problems in Meteorological Modelling (Springer, Switzerland, 2016), pp. 73-74.
[11]. H. Hersbach, B. Bell, P. Berrisford, et al., “The ERA5 global reanalysis”, Q. J. R. Meteorol. Soc., 146, pp. 1999-2049 (2020). https://doi.org/10.1002/qj.3803.
[12]. National Centers for Environmental Prediction/National Weather Service/NOAA/U.S. Department of Commerce (2015): “NCEP GFS 0.25 Degree Global
Forecast Grids Historical Archive”. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://doi.org/10.5065/D65D8PWK. Accessed 01 Feb 2023.
[13]. K. Takuya, N. Haruyasu, M. Chino, et al., “Source term estimation of atmospheric release due to the Fukushima Dai-ichi Nuclear Power Plant accident by atmospheric and oceanic dispersion simulations”, J. Nucl. Sci. Technol., 50 (3), pp. 255-264 (2013).
https://doi.org/10.1080/00223131.2013.772449.
[14]. N. Fong, C. P. Loughner, A. Stein, “The evaluation of mixing methods in HYSPLIT using measurements from controlled tracer experiments”, Atmos. Environ., 219, pp. 1-15 (2019).
https://doi.org/10.1016/j.atmosenv.2019.117043.
[15]. ICRP, 1991. 1990 Recommendations of the International Commission on Radiological Protection. ICRP Publication 60. Ann. ICRP 21 (1-3).
[16]. J.-F. Bottollier-Depois, Q. Chau, P. Bouisset, et al., “Assessing exposure to cosmic radiation during long-haul flights”, Radiat. Res., 153, pp. 526-532 (2000).
[17]. J. Zhuang, D. J. Jacob, and S. D. Eastham, “The importance of vertical resolution in the free troposphere for modeling intercontinental plumes”, Atmos. Chem. Phys., 18, pp. 6039-6055 (2018). https://doi.org/10.5194/acp-18-6039-2018.