Physicochemical characterization and size-resolved source apportionment of airborne particles in Himeji City, Japan

K. Saitoh, M. Shima, Yoshiko Yoda, Ryouhei Nakatsubo, Takatoshi Hiraki, Daisuke Tsunetomo, K. Sera
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Abstract

As a part of epidemiological study on the effects of the chemical composition of airborne particulate matter (PM) and ozone on asthma attacks, we carried out size-resolved sampling of PM in Himeji City, Japan and elemental and ionic composition analyses of the PM samples. Size-resolved PM was collected using a 3-stage NLAS impactor (Tokyo Dylec Co., Ltd.; particle cut size at sampling stages was 10, 2.5 and 1.0 μm for a flow rate of 3 L/min) with a 1-week sampling interval from November 2009 to May 2012. Concentrations of several elemental and ionic species in the PM samples were determined by PIXE and ion chromatography analysis, respectively. In addition, source apportionment analysis of the PM was performed by positive matrix factorization (PMF) model using the analytical data of size-resolved particles. The research results are important for the physicochemical characterization of PM in the atmosphere, enabling evaluation of various PM emission sources and atmospheric processes. Of particular note is that the PM10 consisted mainly of NO3- and SO42-, and PM2.5 consisted only of SO42-. This is believed to suggest the different formation processes of NO3- and SO42-. Based on the results from the PMF model analysis, the particles larger then PM2.5 were estimated to have been from soil and sea salt particles. On the other hand, the particles smaller than PM2.5 were estimated to have been from soot, smoke and secondary particles. In particular, the majority of particle smaller than PM1.0 were estimated to be secondary sulfate particles.
日本姬路市空气颗粒的物理化学特征和大小分辨源分配
作为大气颗粒物(PM)和臭氧化学成分对哮喘发作影响的流行病学研究的一部分,我们对日本姬路市的PM进行了尺寸分辨采样,并对PM样本进行了元素和离子组成分析。采用3级NLAS冲击器(Tokyo dylecco ., Ltd;2009年11月至2012年5月,在流量为3 L/min的条件下,取样阶段的颗粒切削尺寸分别为10、2.5和1.0 μm,取样间隔为1周。采用pxie和离子色谱法分别测定了PM样品中几种元素和离子的浓度。此外,利用粒径分解颗粒的分析数据,采用正矩阵分解(PMF)模型对颗粒物进行源解析分析。研究结果对于研究大气中PM的物理化学特征,评估各种PM排放源和大气过程具有重要意义。特别值得注意的是,PM10主要由NO3-和SO42-组成,而PM2.5仅由SO42-组成。这表明NO3-和SO42-的形成过程不同。根据PMF模型分析的结果,估计比PM2.5大的颗粒来自土壤和海盐颗粒。另一方面,小于PM2.5的颗粒估计来自烟尘、烟雾和次级颗粒。其中,小于PM1.0的颗粒大部分为次生硫酸盐颗粒。
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