Chemical composition and source apportionment of ambient PM2.5 during the non-heating period in Taian, China

被引:137
|
作者
Liu, Baoshuang [1 ]
Song, Na [1 ]
Dai, Qili [1 ]
Mei, Rubo [2 ]
Sui, Benhui [2 ]
Bi, Xiaohui [1 ]
Feng, Yinchang [1 ]
机构
[1] Nankai Univ, Coll Environm Sci & Engn, State Environm Protect Key Lab Urban Ambient Air, Tianjin 300071, Peoples R China
[2] Taian Environm Protect Monitoring Stn, Tai An 271000, Shandong, Peoples R China
基金
中国国家自然科学基金;
关键词
PM2.5; Chemical composition; Source apportionment; Enrichment factor; Backward trajectory; Potential source contribution function (PSCF); PEARL RIVER-DELTA; POSITIVE MATRIX FACTORIZATION; SOLUBLE IONIC COMPOSITION; SEASONAL-VARIATIONS; ORGANIC-CARBON; PARTICULATE MATTER; DESCRIPTIVE ANALYSIS; ELEMENTAL CARBON; POTENTIAL SOURCE; FINE PARTICLES;
D O I
10.1016/j.atmosres.2015.11.002
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
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.
引用
收藏
页码:23 / 33
页数:11
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