Zajusz-Zubek Elwira, Kaczmarek Konrad, Mainka Anna
Department of Air Protection, Silesian University of Technology, 22B Konarskiego St., Gliwice 44-100, Poland.
Institute of Mathematics, Silesian University of Technology, 23 Kaszubska St., Gliwice 44-100, Poland.
Int J Environ Res Public Health. 2015 Oct 16;12(10):13085-103. doi: 10.3390/ijerph121013085.
This study reports the concentrations of PM1 trace elements (As, Cd, Co, Cr, Hg, Mn, Ni, Pb, Sb and Se) content in highly mobile (F1), mobile (F2), less mobile (F3) and not mobile (F4) fractions in samples that were collected in the surroundings of power plants in southern Poland. It also reports source identification by enrichment factors (EF) and a principal component analysis (PCA). There is limited availability of scientific data concerning the chemical composition of dust, including fractionation analyses of trace elements, in the surroundings of power plants. The present study offers important results in order to fill this data gap. The data collected in this study can be utilized to validate air quality models in this rapidly developing area. They are also crucial for comparisons with datasets from similar areas all over the world. Moreover, the identification of the bioavailability of selected carcinogenic and toxic elements in the future might be used as output data for potential biological and population research on risk assessment. This is important in the context of air pollution being hazardous to human health.
本研究报告了在波兰南部发电厂周边采集的样本中,可快速迁移(F1)、可迁移(F2)、迁移性较差(F3)和不可迁移(F4)组分中PM1微量元素(砷、镉、钴、铬、汞、锰、镍、铅、锑和硒)的含量。研究还通过富集因子(EF)和主成分分析(PCA)进行了源识别。关于发电厂周边灰尘化学成分的科学数据有限,包括微量元素的分级分析。本研究提供了重要结果以填补这一数据空白。本研究收集的数据可用于验证这个快速发展地区的空气质量模型。这些数据对于与世界各地类似地区的数据集进行比较也至关重要。此外,未来对选定致癌和有毒元素生物有效性的识别,可能用作潜在生物和人群风险评估研究的输出数据。在空气污染对人类健康有害的背景下,这一点很重要。