Polar organic and inorganic markers in PM10 aerosols from an inland city of China - Seasonal trends and sources

被引:26
|
作者
Xie, Mingjie [2 ]
Wang, Gehui [1 ,2 ]
Hu, Shuyuan [2 ]
Gao, Shixiang [2 ]
Han, Qingyou [3 ]
Xu, Yajuan [3 ]
Feng, Jianfang [2 ]
机构
[1] Chinese Acad Sci, Inst Earth Environm, Xian 710075, Peoples R China
[2] Najing Univ, Sch Environm, State Key Lab Pollut Control & Resources Reuse, Nanjing 210093, Peoples R China
[3] Baoji Environm Monitoring Stn, Baoji 721006, Peoples R China
关键词
Biomass burning; Sugars; n-alkanoic acids; Elements; Sources; POLYCYCLIC AROMATIC-HYDROCARBONS; MOLECULAR TRACERS; EMISSION FACTORS; ATMOSPHERIC AEROSOLS; SOURCE APPORTIONMENT; PARTICULATE MATTER; SIZE DISTRIBUTION; URBAN ATMOSPHERE; N-ALKANES; MEGA-CITY;
D O I
10.1016/j.scitotenv.2010.07.029
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Polar organic compounds and elements were quantified in PK10 aerosols collected in urban and rural areas of Baoji, an inland city of China, during winter and spring 2008. Concentrations of biomass burning markers and high molecular weight n-alkanoic acids (HMW, >C-22:0) were heavily increased in winter. In contrast, sugars presented in higher levels in the spring, among which sucrose was the most abundant with an average of 219 ng m(-3) in winter and 473 ng m(-3) in spring respectively. This suggests enhanced biotic activity in the warm season, whereas no obvious trend was observed for sugar alcohols, concentrations of the three sugar alcohols in spring were only 0.94-2.3 times as those in winter, indicating a second pathway of their formation other than fungal spores in cold season. Major crustal elements (i.e., Fe, K, Mn and Ti) in PM10 aerosols were also observed in larger concentrations in spring samples than those in winter due to an enhancement of coarse particles from soil minerals. By using principal component analysis (PCA) and positive matrix factorization (PMF), sources and their contributions to the PM components were also investigated in this study. Four factors were extracted with both models, and the sources represented by different factors were based on the highest loaded marker species as follows: factor 1, soil and road dust (Fe, Sr and Ti); factor 2, biomass burning (levoglucosan, galactosan and syringic acid); factor 3, microbial emissions (fructose and sucrose); and factor 4, fossil fuel combustion and fungal spores influence (Pb, Zn, arabitol and mannitol). The high correlation between PM10 and factor 1 suggested that PM10 pollution in Baoji was dominated by soil and dust re-suspension. (C) 2010 Elsevier B.V. All rights reserved.
引用
收藏
页码:5452 / 5460
页数:9
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