| Literature DB >> 33800209 |
Mirsina Mousavi Aghdam1,2, Quentin Crowley2, Carlos Rocha3, Valentina Dentoni1, Stefania Da Pelo4, Stephanie Long5, Maxime Savatier3.
Abstract
Radon (222Rn) and thoron (220Rn) account for almost two-thirds of the annual average radiation dose received by the Irish population. A detailed study of natural radioactivity levels and radon and thoron exhalation rates was carried out in a legislatively designated "high radon" area, as based on existing indoor radon measurements. Indoor radon concentrations, airborne radiometric data and stream sediment geochemistry were collated, and a set of soil samples were taken from the study area. The exhalation rates of radon (E222Rn) and thoron (E220Rn) for collected samples were determined in the laboratory. The resultant data were classified based on geological and soil type parameters. Geological boundaries were found to be robust classifiers for radon exhalation rates and radon-related variables, whilst soil type classification better differentiates thoron exhalation rates and correlated variables. Linear models were developed to predict the radon and thoron exhalation rates of the study area. Distribution maps of radon and thoron exhalation rates (range: E222Rn [0.15-1.84] and E220Rn [475-3029] Bq m-2 h-1) and annual effective dose (with a mean value of 0.84 mSv y-1) are presented. For some parts of the study area, the calculated annual effective dose exceeds the recommended level of 1 mSv y-1, illustrating a significant radiation risk. Airborne radiometric data were found to be a powerful and fast tool for the prediction of geogenic radon and thoron risk. This robust method can be used for other areas where airborne radiometric data are available.Entities:
Keywords: airborne radiometric; geological combination and soil type; radiation risk; radon and thoron exhalation rates
Year: 2021 PMID: 33800209 PMCID: PMC7967442 DOI: 10.3390/ijerph18052709
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390