Dpto. de Técnicas y Proyectos en Ingeniería y Arquitectura de la Universidad de La Laguna, 38204 Canary Islands, Spain.
Servicio de Laboratorios y Calidad de la Construcción del Gobierno de Canarias, 38107 Canary Islands, Spain.
Sci Total Environ. 2023 Aug 10;885:163761. doi: 10.1016/j.scitotenv.2023.163761. Epub 2023 May 3.
The transposition of the European EURATOM directive into the regulations of the different member states of the European Union involved governments making great efforts to define priority action maps against indoor radon exposure in buildings over a short time period. In Spain, the Technical Building Code established 300 Bq/m as a reference level and set up a classification of municipalities in which remediation measures should be adopted for radon exposure in buildings. Oceanic volcanic islands, such as the Canary Islands, present high geological heterogeneity in a small space due to their volcanic origin. This variability poses a challenge to the elaboration of radiological risk maps, which makes it necessary to have a high density of data to collect local variations. This paper presents a methodology to obtain accurate radon risk maps based on geological criteria and terrestrial gamma radiation. The predictive efficiency of these maps is statistically verified using indoor radon concentration data measured in buildings. Other radiological variables, which are commonly used as criteria for radon risk prediction found in the literature, were also applied, such as the geogenic radon potential and the activity concentration of natural radioisotopes in soils. The higher resolution of the maps obtained allows for a more detailed classification of radon risk zones in the study area than the current risk maps published in the Spanish building regulations.
将欧洲 EURATOM 指令转换为欧盟不同成员国的法规,各国政府需要在短时间内努力制定针对建筑物内氡暴露的优先行动计划。在西班牙,技术建筑法规将 300 Bq/m 设定为参考水平,并对氡暴露建筑物应采取补救措施的城市进行了分类。大洋火山岛,如加那利群岛,由于其火山起源,在小范围内具有高度的地质异质性。这种可变性对放射性风险图的编制构成了挑战,这使得有必要收集局部变化的数据具有很高的密度。本文提出了一种基于地质标准和地面伽马辐射获得准确氡风险图的方法。使用建筑物内测量的室内氡浓度数据对这些地图的预测效率进行了统计验证。还应用了文献中常用作氡风险预测标准的其他放射性变量,例如地球成因氡潜力和土壤中天然放射性同位素的活度浓度。获得的地图分辨率更高,允许对研究区域的氡风险区域进行比西班牙建筑法规中公布的当前风险图更详细的分类。