Stable carbon isotopes in aerosols from Chinese cities: Influence of fossil fuels

被引:152
作者
Cao, Jun-ji [1 ,2 ]
Chow, Judith C. [1 ,3 ]
Tao, Jun [4 ]
Lee, Shun-cheng [5 ]
Watson, John G. [1 ,3 ]
Ho, Kin-fai [1 ]
Wang, Ge-hui [1 ,2 ]
Zhu, Chong-shu [1 ]
Han, Yong-ming [1 ]
机构
[1] Chinese Acad Sci, Inst Earth Environm, SKLLQG, Xian 710075, Peoples R China
[2] Xi An Jiao Tong Univ, Inst Global Environm Change, Xian 710049, Peoples R China
[3] Univ Nevada, Desert Res Inst, Div Atmospher Sci, Reno, NV 89506 USA
[4] Minist Environm Protect, S China Inst Environm Sci, Guangzhou, Guangdong, Peoples R China
[5] Hong Kong Polytech Univ, Hong Kong, Hong Kong, Peoples R China
基金
美国国家科学基金会;
关键词
Carbon isotope; Organic carbon; Elemental carbon; China; RIVER DELTA REGION; ELEMENTAL CARBON; ORGANIC-CARBON; SEASONAL-VARIATIONS; PARTICULATE; ORIGIN; WINTER; PM2.5; PARTICLES; BIOMASS;
D O I
10.1016/j.atmosenv.2010.10.056
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Stable carbon isotope ratios were determined for the OC and EC fractions of PM2.5 collected from 14 Chinese cities in January and June/July of 2003. The period-averaged isotope values (delta C-13) varied from -26.90 parts per thousand, to -23.08 parts per thousand for OC and -26.63 parts per thousand, to -23.27 parts per thousand for EC. A strong correlation (R-2 = 0.70, p < 0.0001) between delta C-13(OC) and delta C-13(EC) was found in winter but not summer. Winter vs. summer differences for delta C-13(OC) and delta C-l3(EC) were greater for the seven northern cities (similar to 1 to 3 parts per thousand) than the seven southern cities (<1 parts per thousand). Comparisons with isotopic signatures of putative sources suggest that the carbonaceous PM2.5 was mainly from fossil fuels, especially coal combustion and motor vehicle emissions; the northern cities in particular were strongly impacted by coal combustion during winter. Studies of stable carbon isotopes in OC and EC are potentially useful for identifying sources for carbonaceous PM2.5, and this approach may be a useful new tool for the study of air pollution. (C) 2010 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1359 / 1363
页数:5
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