Enhancing artificial radionuclides monitoring: a Bayesian statistical approach combined with the multi time-interval analysis method
Author:
Funder
Natural Science Foundation of Hunan Province
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10967-024-09394-w.pdf
Reference21 articles.
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2. Thakur P, Ballard S, Nelson R (2013) An overview of Fukushima radionuclides measured in the northern hemisphere. Sci Total Environ 458–460:577–613. https://doi.org/10.1016/j.scitotenv.2013.03.105
3. Lujaniene G, Bycenkiene S, Povinec PP, Gera M (2012) Radionuclides from the Fukushima accident in the air over Lithuania: measurement and modelling approaches. J Environ Radioact 114:71–80. https://doi.org/10.1016/j.jenvrad.2011.12.004
4. Wang G, Huang Z, Xu H, Yin Y, Mu C, Wang Q (2020) Remote real-time control of aerosol continuous monitoring for high radon concentration environments. Appl Radiat Isot 155:108922. https://doi.org/10.1016/j.apradiso.2019.108922
5. Długosz-Lisiecka M, Bem H (2020) Seasonal fluctuation of activity size distribution of 7Be, 210Pb, and 210Poradionuclides in urban aerosols. J Aerosol Sci 144:105544. https://doi.org/10.1016/j.jaerosci.2020.105544
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1. Application and improvement of continuous monitoring methods for artificial radionuclides based on Bayesian statistics;Journal of Radioanalytical and Nuclear Chemistry;2024-08-27
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