HUN-REN Institute for Nuclear Research (ATOMKI), P.O Box 51, Debrecen, 4001, Hungary.
International Radiocarbon AMS Competence and Training Center (INTERACT), HUN-REN Institute for Nuclear Research (ATOMKI), P.O Box 51, Debrecen, 4001, Hungary.
Environ Sci Pollut Res Int. 2024 Jul;31(34):47258-47274. doi: 10.1007/s11356-024-34215-8. Epub 2024 Jul 11.
This study, conducted in Debrecen, Hungary, aimed to analyse atmospheric particulate matter (APM or PM) through radiocarbon and PIXE analyses during the winter smog (23-25 January) and spring (15-18 May) seasons. The information presented in this pilot study aims to provide insight into the importance of utilising detailed characteristics of the mass size distributions of fossil carbon (f) and contemporary carbon (f) content. Additionally, it seeks to compare these characteristics with the size distributions of various elements to enable even more accurate PM source identification. In winter, APM concentrations were 86.27 μg/m (total), 17.07 μg/m (f) and 10.4 μg/m (f). In spring, these values changed to 29.5 μg/m, 2.64 μg/m and 7.01 μg/m, respectively. Notably, differences in mass size distribution patterns were observed between the two seasons, suggesting varied sources for contemporary carbon. Biomass burning emerged as a crucial source during the smog period, supported by similar MMAD (Mass Median Aerodynamic Diameter) values and a strong correlation (r = 0.95, p < 0.01) between potassium and f In spring, a significant change in the concentration and distribution of f occurred, with a broad, coarse mode and a less prominent accumulation mode. F was found to have similar distributions as PM, with nearly the same MMADs, during both periods. Finally, a comprehensive comparison of modal characteristics identified specific sources for the various components, including biomass burning, vehicle exhaust, coal and oil combustion, vehicle non-exhaust, road dust, tyre abrasion, mineral dust and biogenic emission. This study showcases how using radiocarbon and PIXE analysis in size distribution data can enhance our understanding of the sources of PM and their effects on different size fractions of PM.
这项研究在匈牙利德布勒森进行,旨在通过放射性碳和 PIXE 分析,分析冬季烟雾(1 月 23-25 日)和春季(5 月 15-18 日)期间的大气颗粒物(APM 或 PM)。本初步研究提供的信息旨在深入了解利用化石碳(f)和当代碳(f)质量粒径分布详细特征的重要性。此外,它旨在将这些特征与各种元素的粒径分布进行比较,以更准确地识别 PM 源。在冬季,APM 浓度分别为 86.27μg/m(总)、17.07μg/m(f)和 10.4μg/m(f)。在春季,这些值分别变为 29.5μg/m、2.64μg/m 和 7.01μg/m。值得注意的是,两个季节的质量粒径分布模式存在差异,表明当代碳的来源不同。烟雾期生物质燃烧成为一个重要的来源,这得到了类似的 MMAD(质量中值空气动力学直径)值和钾与 f 之间的强相关性(r=0.95,p<0.01)的支持。在春季,f 的浓度和分布发生了显著变化,存在较宽的粗模态和不太明显的积聚模态。在两个时期,f 的分布与 PM 相似,具有几乎相同的 MMAD。最后,对模态特征的综合比较确定了各种成分的特定来源,包括生物质燃烧、车辆尾气、煤和油燃烧、车辆非尾气、道路灰尘、轮胎磨损、矿物粉尘和生物排放。这项研究展示了如何在粒径分布数据中使用放射性碳和 PIXE 分析来增强我们对 PM 源及其对 PM 不同粒径分数影响的理解。