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The size distribution and origin of elements bound to ambient particles: a case study of a Polish urban area

机译:与环境粒子绑定的元素的大小分布和来源:以波兰市区为例

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Ambient particulate matter (PM) was sampled in Zabrze (southern Poland) in the heating period of 2009. It was investigated for distribution of its mass and of the masses of its 18 component elements (S, Cl, K, Ca, Cr, Mn, Fe, Ni, Cu, Zn, Ge, As, Br, Sr, Cd, Sb, Ba, and Pb) among 13 PM size fractions. In the paper, the distribution modality of and the correlations between the ambient concentrations of these elements are discussed and interpreted in terms of the source apportionment of PM emissions. By weight, S, Cl, K, Ca, Cr, Mn, Fe, Ni, Cu, Zn, Ge, As, Br, Sr, Cd, Sb, Ba, and Pb were 10 % of coarse and 9 % of ultrafine particles. The collective mass of these elements was no more than 3.5 % of the mass of the particles with the aerodynamic diameter D-p between 0.4 and 1.0 mu m (PM0.4-1), whose ambient mass concentration was the highest. The PM mass size distribution for the sampling period is bimodal; it has the accumulation and coarse modes. The coarse particles were probably of the mineral/soil origin (characteristic elements: Ca, Fe, Sr, and Ba), being re-suspended polluted soil or road dust (characteristic elements: Ca, Fe, Sr, Ba, S, K, Cr, Cu, Zn, Br, Sb, Pb). The maxima of the density functions (modes) of the concentration distributions with respect to particle size of PM-bound S, Cl, K, Cu, Zn, Ge, Br, Cd, Sb, and Pb within the Dp interval from 0.108 to 1.6 mu m (accumulation PM particles) indicate the emissions from furnaces and road traffic. The distributions of PM-bound As, Mn, Ba, and Sr concentrations have their modes within D-p=0.108 mu m (nucleation PM particles), indicating the emissions from high-temperature processes (industrial sources or car engines). In this work, principal component analysis (PCA) is applied separately to each of the 13 fraction-related sets of the concentrations of the 18 PM-bound elements, and further, the fractions are grouped by their origin using cluster analysis (CA) applied to the 13 fraction-related first principal components (PC1). Four distinct groups of the PM fractions are identified: (PM1.6-2.5, PM2.5-4.4,), (PM0.03-0.06, PM0.108-0.17), (PM0.06-0.108, PM0.17-0.26, PM0.26-0.4, PM0.4-0.65, PM0.65-1, PM1-1.6), and (PM4.4-6.8, PM6.8-10, PM>10). The PM sources attributed to these groups by using PCA followed by CA are roughly the same as the sources from the apportionment done by analyzing the modality of the mass size distributions.
机译:在2009年供暖期的Zabrze(波兰南部)对环境颗粒物(PM)进行了采样。调查了其质量分布及其18种组成元素(S,Cl,K,Ca,Cr,Mn的质量)的分布。 ,Fe,Ni,Cu,Zn,Ge,As,Br,Sr,Cd,Sb,Ba和Pb)中的13个PM尺寸分数。在本文中,根据PM排放物的源分配,讨论和解释了这些元素的分布形态以及环境浓度之间的相关性。按重量计,S,Cl,K,Ca,Cr,Mn,Fe,Ni,Cu,Zn,Ge,As,Br,Sr,Cd,Sb,Ba和Pb为粗颗粒的10%,超细颗粒的9% 。这些元素的总质量不超过空气动力学直径D-p在0.4和1.0μm(PM0.4-1)之间的颗粒质量的3.5%,其环境质量浓度最高。采样期间的PM质量尺寸分布是双峰的;它具有累积模式和粗糙模式。粗颗粒可能是矿物/土壤来源(特征元素:Ca,Fe,Sr和Ba),被重新悬浮在污染的土壤或道路扬尘中(特征元素:Ca,Fe,Sr,Ba,S,K, Cr,Cu,Zn,Br,Sb,Pb)。相对于PM结合的S,Cl,K,Cu,Zn,Ge,Br,Cd,Sb和Pb在0.108至1.6的Dp间隔内浓度分布的密度函数(模式)的最大值微米(累积的PM颗粒)表示炉子和道路交通产生的排放。 PM结合的As,Mn,Ba和Sr浓度的分布在D-p = 0.108μm(成核PM颗粒)内具有其模式,表明高温过程(工业来源或汽车发动机)的排放。在这项工作中,将主成分分析(PCA)分别应用于18个PM结合元素浓度的13个与分数相关的集合中的每个集合,此外,使用所应用的聚类分析(CA)将这些分数按其来源进行分组。 13个与分数相关的第一主成分(PC1)。确定了四个不同的PM组分组:(PM1.6-2.5,PM2.5-4.4,),(PM0.03-0.06,PM0.108-0.17),(PM0.06-0.108,PM0.17- 0.26,PM0.26-0.4,PM0.4-0.65,PM0.65-1,PM1-1.6)和(PM4.4-6.8,PM6.8-10,PM> 10)。通过使用PCA和CA归因于这些组的PM来源与通过分析质量尺寸分布的模态进行的分配所产生的来源大致相同。

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