Geant4 Monte Carlo simulation of human exposure to indoor 222 Rn from building materials.

Autor: Haman F; Dosimetry and Radiation Protection Laboratory, Centre for Atomic Molecular Physics and Quantum Optics (CEPAMOQ), University of Douala, P O Box 8085, Douala, Cameroon. Electronic address: felix.hamann@yahoo.fr., Guembou Shouop CJ; Nuclear Science and Engineering Center, Japan Atomic Energy Agency, Tokai-mura, Naka-gun, Ibaraki, 319-1195, Japan. Electronic address: sebastianguembou@gmail.com., Tiomene DF; Dosimetry and Radiation Protection Laboratory, Centre for Atomic Molecular Physics and Quantum Optics (CEPAMOQ), University of Douala, P O Box 8085, Douala, Cameroon. Electronic address: dorinetiomene@yahoo.fr., Bongue D; Dosimetry and Radiation Protection Laboratory, Centre for Atomic Molecular Physics and Quantum Optics (CEPAMOQ), University of Douala, P O Box 8085, Douala, Cameroon; Department of Physics, Faculty of Sciences, University of Douala, P O Box 24157, Douala, Cameroon. Electronic address: bonguedaniel@yahoo.fr., Degbe PL; Dosimetry and Radiation Protection Laboratory, Centre for Atomic Molecular Physics and Quantum Optics (CEPAMOQ), University of Douala, P O Box 8085, Douala, Cameroon. Electronic address: degbepatricia@gmail.com., Nguelem Mekontso EJ; National Radiation Protection Agency, P O Box 33732, Yaoundé, Cameroon. Electronic address: ericnguelemm@gmail.com., Ndontchueng Moyo M; Dosimetry and Radiation Protection Laboratory, Centre for Atomic Molecular Physics and Quantum Optics (CEPAMOQ), University of Douala, P O Box 8085, Douala, Cameroon; Department of Physics, Faculty of Sciences, University of Douala, P O Box 24157, Douala, Cameroon; National Radiation Protection Agency, P O Box 33732, Yaoundé, Cameroon. Electronic address: ndomomau@gmail.com., Kwato Njock MG; Dosimetry and Radiation Protection Laboratory, Centre for Atomic Molecular Physics and Quantum Optics (CEPAMOQ), University of Douala, P O Box 8085, Douala, Cameroon. Electronic address: mkwato@yahoo.com.
Jazyk: angličtina
Zdroj: Journal of environmental radioactivity [J Environ Radioact] 2024 Oct 28; Vol. 280, pp. 107562. Date of Electronic Publication: 2024 Oct 28.
DOI: 10.1016/j.jenvrad.2024.107562
Abstrakt: The present study aimed to develop a Monte Carlo model to estimate the annual effective dose due to radon exposure sourced by radon gas in the walls and floor of a standard model room. With the purpose of developing a tool for radon level assessment in dwellings and workplaces, Geant4 toolkit was used to simulate the energy deposited by gamma rays emitted by radioactive radon progeny in a water phantom positioned at three different locations within the model room. The energy deposition was then used to estimate the annual effective dose through a deterministic approach. The simulation outcomes showed good agreement with experimental data, with the ratio between the simulated and the experimental data displaying the overestimation by a factor of approximately 1.09. Both simulation and experimental data fell within the same range, with a relative deviation of 7.7%. Additionally, the influence of various parameters, such as receptor position in the room, wall, and floor thicknesses, wall cover, and building material bulk density, on the annual effective dose due to radon inhalation in the room was evaluated. Geant4 Monte Carlo toolkit proved to be a reliable tool for radon modeling in real exposure situations.
Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2024 Elsevier Ltd. All rights reserved.)
Databáze: MEDLINE
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