Chemical composition and source apportionment of ambient PM2.5 during the non-heating period in Taian, China
Chemical composition and source apportionment of ambient PM2.5 during the non-heating period in Taian, China
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泰安市非采暖期环境PM2.5化学成分及来源解析
DOI：
10.1016/j.atmosres.2015.11.002
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发表时间：
2016-03-15
影响因子：
5.5
通讯作者：
Feng, Yinchang
中科院分区：
文献类型：
--
作者：
Liu, Baoshuang;Song, Na;Feng, Yinchang
于2014年8月、9月和11月在中国泰安市区采集了大气PM2.5样品。分析了PM2.5的化学组成和排放源。结果表明，非采暖期PM2.5平均浓度达70.8 μ g/m3，水溶性无机离子、含碳物质（包括元素碳和有机碳）和元素对PM2.5的贡献率分别为43.80%、10.34%和17.36%。非采暖期3个采样点的WSII平均浓度依次为：SO 42- > NH 4（+）> NO3-> Cl-。NO3-与NH 4+、SO 42-与NH 4+呈极显著正相关（r = 0.79，0.54; P < 0.01）。在非采暖期，OC的变异性大于EC的变异性。高浓度的次生有机碳（SOC）会降低OC与EC之间的相关性。此外，在8、9、11月间，土壤中总元素的含量和百分比均显著增加（P < 0.01）。PM2.5的主要来源包括二次气溶胶、燃煤、金属加工、土壤尘/再悬浮尘/建筑尘和机动车尾气/生物质燃烧，贡献率分别为27.47%、17.94%、19.06%、9.41%和16.65%。后向轨迹分析确定了3条输送路径，分别来自蒙古（12%）、内蒙古（2%）和鲁东南（86%），潜在源贡献函数（PSCF）模型确定鲁东南是影响泰安市空气质量的主要潜在源区。(C)© 2015 Elsevier BM版权所有。
Ambient PM2.5 samples were collected in the urban area of Taian in China in August September and November, 2014. The chemical compositions and emission sources of PM2.5 were analyzed. The results indicated that the mean concentration of PM2.5 reached 70.8 mu g/m(3) during the non-heating period, and water soluble inorganic ions (WSIIs), carbonaceous materials, including elemental carbon (EC) and organic carbon (OC); and elements contributed 43.80%, 10.34% and 17.36%, respectively, to PM2.5. The mean concentrations of WSIIs at three sampling sites decreased in the same order: SO42- > NH4 (+)> NO3-> Cl- during the non-heating period. NO3- and NH4+, SO42- and NH4+, showed extremely significant positive-correlations (r = 0.79, 0.54; P < 0.01). The variability of OC was larger than the variability of EC during the non-heating period. The high concentration of secondary organic carbon (SOC) could reduce correlation-level between the OC and EC. Moreover, the percentages and concentrations of the total detected elements (TDE) increased significantly, ranging from August September to November (P < 0.01). Major sources of PM2.5 identified from positive matrix factorization (PMF) model and enrichment factors (EFs) included secondary aerosol, coal combustion, metal manufacturing, soil dust/resuspended dust/construction dust and vehicle exhaust/biomass burning, which contributed 27.47%, 17.94%, 19.06%, 9.41% and 16.65%, respectively, to PM2.5. The backward trajectory analysis identified three transport pathways that originated from Mongolia (12% of the total trajectories), Inner Mongolia (2%), and southeast of Shandong Province (86%), and the potential source contribution function (PSCF) model identified southeast of Shandong Province was mainly a potential source-area that affected air quality in Taian. (C) 2015 Elsevier BM All rights reserved.