Dipartimento di Scienze Matematiche e Informatiche, Scienze Fisiche e Scienze della Terra, Università degli Studi di Messina, V.le F. Stagno D'Alcontres, 31-98166 Messina, Italy.
Dipartimento di Fisica e Astronomia "Ettore Majorana", Università degli Studi di Catania, Via S. Sofia, 64-95123 Catania, Italy.
Int J Environ Res Public Health. 2024 Mar 8;21(3):315. doi: 10.3390/ijerph21030315.
This article reports the results of an investigation into the activity concentration of natural radionuclides in raw building materials for underground parking lots, together with the assessment of the radiation hazard for the public related to exposure to ionizing radiations. To this purpose, high-purity germanium (HPGe) γ-ray spectrometry was employed in order to quantify the average specific activity of Ra, Th, and K natural radioisotopes. With the aim to assess any possible radiological health risk for the population, the absorbed γ-dose rate (), the annual effective dose equivalent outdoor () and indoor (), the activity concentration index (), and the alpha index () were also estimated, resulting in values that were lower than the maximum recommended ones for humans. Finally, the extent of the correlations existing between the observed radioactivity and radiological parameters and of these parameters with the analyzed samples was quantified through statistical analyses, including Pearson's correlation, a principal component analysis (PCA), and a hierarchical cluster analysis (HCA). As a result, three clusters of the investigated samples were recognized based on their chemical composition and mineralogical nature. Noteworthily, this paper covers a certain gap in science since its topic does not appear in literature in this form. Thus, the authors underline the importance of this work to global knowledge in the environmental research and public health fields.
本文报道了对地下停车场建筑用原材料中天然放射性核素活度浓度的调查结果,并评估了公众因接触电离辐射而产生的辐射危害。为此,采用高纯锗(HPGe)γ射线谱仪来定量测定 Ra、Th 和 K 天然放射性同位素的平均比活度。为了评估人群可能存在的任何放射性健康风险,还估算了吸收 γ 剂量率()、室外()和室内()年有效剂量当量、活度浓度指数()和 α 指数(),结果表明这些值均低于人类的最大推荐值。最后,通过统计分析(包括皮尔逊相关分析、主成分分析(PCA)和层次聚类分析(HCA))量化了观察到的放射性与放射性参数以及这些参数与所分析样本之间的相关性程度。结果表明,根据化学成分和矿物性质,将 3 个聚类的样本进行了区分。值得注意的是,本文涵盖了科学上的一个空白,因为其主题在文献中并未以这种形式出现。因此,作者强调了这项工作对环境研究和公共卫生领域全球知识的重要性。