Department of Civil and Environmental Engineering and Architecture, University of Cagliari, 09123 Cagliari, Italy.
Department of Geology, School of Natural Sciences, Trinity College, D02PN40 Dublin, Ireland.
Int J Environ Res Public Health. 2021 Mar 8;18(5):2709. doi: 10.3390/ijerph18052709.
Radon (Rn) and thoron (Rn) 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 (E) and thoron (E) 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: E [0.15-1.84] and E [475-3029] Bq m h) and annual effective dose (with a mean value of 0.84 mSv y) are presented. For some parts of the study area, the calculated annual effective dose exceeds the recommended level of 1 mSv y, 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.
氡(Rn)和钍射气(Rn)占爱尔兰人口所接受的年平均辐射剂量的近三分之二。根据现有的室内氡测量结果,对一个立法指定的“高氡”地区的天然放射性水平以及氡和钍射气的排放率进行了详细研究。整理了室内氡浓度、空气放射性数据和溪流沉积物地球化学数据,并从研究区域采集了一组土壤样本。在实验室中确定了收集样本的氡(E)和钍射气(E)的排放率。根据地质和土壤类型参数对所得数据进行分类。地质边界被发现是氡排放率和与氡相关的变量的可靠分类器,而土壤类型分类则更好地区分了钍射气排放率和相关变量。建立了线性模型来预测研究区域的氡和钍射气排放率。呈现了氡和钍射气排放率(范围:E [0.15-1.84]和 E [475-3029] Bq m h)和年有效剂量(平均值为 0.84 mSv y)的分布图。在研究区域的某些部分,计算得出的年有效剂量超过了 1 mSv y 的建议水平,表明存在重大辐射风险。空气放射性数据被发现是预测地球成因氡和钍射气风险的强大且快速的工具。这种稳健的方法可用于其他具有空气放射性数据的区域。