Source apportionment of lead-containing aerosol particles in Shanghai using single particle mass spectrometry.
Source apportionment of lead-containing aerosol particles in Shanghai using single particle mass spectrometry.
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DOI：
10.1016/j.chemosphere.2008.10.004
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发表时间：
2009
期刊：
影响因子：
8.8
通讯作者：
Yaping Zhang;Xiaofei Wang;Hong Chen;Xin Yang;Jianmin Chen;J. Allen
中科院分区：
文献类型：
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作者：
Yaping Zhang;Xiaofei Wang;Hong Chen;Xin Yang;Jianmin Chen;J. Allen
2007年夏季，在中国上海利用单粒子气溶胶质谱仪（ATOFMS）测量了单个气溶胶颗粒中的铅（Pb）。粒径在0.1 ~ 2.0μm的颗粒中，Pb含量为3%。对单颗粒数据进行了分析，重点分析了铅含量高的亚微米级颗粒。利用ART-2a神经网络算法，将这些富铅颗粒的质谱模式划分为8个主要类别。根据污染物的大小分布、数量密度的时间变化、化学成分和不同化学种类之间的相关性，确定了3个主要排放源。约45%的富铅颗粒含有有机碳或元素碳，并归因于燃煤排放；氯、铅含量相关性较好的颗粒主要来源于垃圾焚烧。一种独特的颗粒被识别为强磷酸盐和铅信号，这是由磷酸盐工业排放的。其他富铅颗粒包括老化的海盐和冶金过程产生的颗粒。
Lead (Pb) in individual aerosol particles was measured using single particle aerosol mass spectrometer (ATOFMS) in the summer of 2007 in Shanghai, China. Pb was found in 3% of particles with diameters in the range 0.1–2.0μm. Single particle data were analyzed focusing on the particles with high Pb content which were mostly submicron. Using the ART-2a neural network algorithm, these fine Pb-rich particles were classified into eight main classes by their mass spectral patterns. Based on the size distribution, temporal variation of number density, chemical composition and the correlation between different chemical species for each class, three major emission sources were identified. About 45% of the Pb-rich particles contained organic or elemental carbon and were attributed to the emission from coal combustion; particles with good correlation between Cl and Pb content were mostly attributed to waste incineration. One unique class of particles was identified by strong phosphate and Pb signals, which were assigned to emissions from phosphate industry. Other Pb-rich particles included aged sea salt and particles from metallurgical processes.