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Modelling soil - Vegetation - Atmospheric interactions of radon products in a Belgian Scots pine forest site.
J Environ Radioact
December 2024
Belgian Nuclear Research Centre (SCK CEN), Boeretang 200, 2400, Mol, Belgium.
A soil-vegetation-atmospheric transfer (SVAT) model for radon and its progeny is presented to improve process-level understanding of the role of forests in taking-up radionuclides from soil radon outgassing. A dynamic system of differential equations couples soil, tree (Scots pine) and atmospheric processes, treating the trees as sources, sinks and conduits between the atmosphere and the soil. The model's compartments include a dual-layer soil column undergoing hydrological and solute transport, the tree system (comprising roots, wood, litter, and foliage) and the atmosphere, with physical processes governing the transfers of water and radon products between these compartments.
View Article and Find Full Text PDFAssessment of annual effective doses from indoor radon and thoron in Doi Lo, Chiang Mai, Thailand.
Radiat Prot Dosimetry
November 2024
Department of Radiologic Technology, Faculty of Associated Medical Sciences, Chiang Mai University, Chiang Mai 50200, Thailand.
This study aimed to determine the annual effective dose resulting from radon and thoron progeny inhalation. The levels of radon, thoron, and progeny were assessed in residences situated in the Doi Lo region of Chiang Mai, Thailand. Indoor radon and thoron concentrations were detected using passive discriminative detectors.
View Article and Find Full Text PDFRadiation dose estimation for indoor radon, thoron and their progenies using a stochastic method-a small-scale survey in Wuhan, China.
Radiat Prot Dosimetry
November 2024
Institute of Radiation Emergency Medicine, Hirosaki University, 66-1 Hon-cho, Hirosaki, Aomori 036-8564, Japan.
Passive radon monitors with CR-39s are widely used in major epidemiological surveys. However, the conventional CR-39 track density determining strategy makes it difficult to accurately estimate the concentration because of the heterogeneity of tracks on CR-39s. This study introduced a stochastic method, Latin hypercube sampling, to improve the track density determining strategy and provide the probability distribution of 222Rn concentration and equilibrium equivalent thoron concentration.
View Article and Find Full Text PDFGeant4 Monte Carlo simulation of human exposure to indoor Rn from building materials.
J Environ Radioact
December 2024
Dosimetry and Radiation Protection Laboratory, Centre for Atomic Molecular Physics and Quantum Optics (CEPAMOQ), University of Douala, P O Box 8085, Douala, Cameroon.
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.
View Article and Find Full Text PDFAssessment of indoor radon levels at multiple floors of an apartment building in the historic center of Rome (Italy): a comprehensive study.
Environ Sci Pollut Res Int
November 2024
Istituto Nazionale Di Geofisica E Vulcanologia, Via Di Vigna Murata 605, 00143, Rome, Italy.
The urbanized area of Rome is largely built over volcanic deposits, characterized by a significant radionuclides content and consequently a high radon emanation potential. An accurate monitoring of workplaces and residential dwellings constitutes a first step towards mitigating the indoor radon exposure. Since radon diffusion dynamics involves complex interactions among many environmental parameters on different time scales, a proper assessment of radon concentration variations can be better achieved by means of active monitoring approaches.
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