Study of the chemical elements and polycyclic aromatic hydrocarbons in atmospheric particles of PM10 and PM2.5 in the urban and rural areas of South Brazil
Study of the chemical elements and polycyclic aromatic hydrocarbons in atmospheric particles of PM10 and PM2.5 in the urban and rural areas of South Brazil
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DOI：
10.1016/j.atmosres.2007.12.004
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发表时间：
2008-07-01
影响因子：
5.5
通讯作者：
Wiegand, Flavio
中科院分区：
文献类型：
--
作者：
Dallarosa, Juliana;Teixeira, Elba Calesso;Wiegand, Flavio
这项工作的目的是研究在巴西南里奥格兰德州阿雷格里马帕港大都市区采集的PM10样品中与大气颗粒物相关的化学元素和多环芳烃。此外，在城市(MAPA)和农村地区采用二分抽样方法研究与PM10-2.5和PM2.5不同组分的颗粒物相关的化学元素。使用了两种采样器：高压PM10采样器和二分式采样器(PM10-2.5和PM2.5)。样本是在2002年至2005年期间收集的。元素硅、S、氯、钾、钙、钛、钒、铬、锰、铁、镍、铜、锌等元素的含量用粒子诱导X射线发射光谱仪测定，16种主要多环芳烃的含量用气相色谱-质谱仪(GS/MS)测定。结果表明，土壤粉尘(Si、Al、Ti和Fe)主要与PM10-2.5组分有关，而人为成因元素(V、Zn、Cr、Ni、Cu和S)主要与PM2.5组分有关。在PM10样品中，最常见的多环芳烃是BGP、Flt、BAA、Chr、B(b+k)F、BaP和DBA。应用主成分方法的统计分析方法，研究了排放类型及其与大气参数的关系。在研究区域发现的主要污染源是车辆、工业(钢厂和燃煤发电厂)、粉尘、海风和燃烧。(C)2008爱思唯尔B.V.保留所有权利。
The purpose of this work is to study the chemical elements and PAEs associated with atmospheric particulate in samples of PM10 collected in the Metropolitan Area of Porto Alegre-MAPA, Rio Grande do Sul, Brazil. In addition, to study the chemical elements associated with particles of different fractions of PM10-2.5 and PM2.5 using dichotomous sampling, in urban (MAPA) and rural areas. Two types of samplers were used: HV PM10 and Dichotomous (PM10-2.5 and PM2.5). Samples were collected during 2002 and 2005. The concentration of the elements Si, S, Cl, K, Ca, Ti, V, Cr, Mn, Fe, Ni, Cu, and Zn was determined by PIXE (Particle-Induced X-ray Emission), while the concentrations of 16 major PAHs were determined according to EPA with a gas chromatograph coupled to a mass spectrometer (GS/MS). Results showed that elements of anthropogenic origin (V, Zn, Cr, Ni, Cu, and S) were mainly associated with the fraction PM2.5, while the soil dust (Si, Al, Ti and Fe) were found mainly on fraction PM10-2.5. In samples of PM10, the most frequent PAHs found were Bgp, Flt, BaA, Chr, B(b+k)F, BaP and Dba. The types of emission and their association with the atmospheric parameters were studied applying the statistical analysis of the principal component method. The main sources found in the area under study were vehicles, industries (steel mills and a coal-fired power station), dust, sea breeze, and burning. (C) 2008 Elsevier B.V. All rights reserved.