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Single-particle chemical characterization of aerosols at the Heshan atmospheric supersite during the dry season |
JIANG Bin1,2, CHEN Duo-hong2, WANG Bo-guang1, ZHANG Tao2, LI Mei1, GAN Ting1, ZHOU Yan2, ZHONG Liu-ju2, BI Xin-hui3 |
1. Institute of Technology on Atmospheric Environmental Safety and Pollution Control, Jinan University, Guangzhou 510632, China;
2. State Environmental Protection Key Laboratory of Regional Air Quality Monitoring, Guangdong Environmental Monitoring Center, Guangzhou 510308, China;
3. Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China |
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Abstract Single-particle chemical characteristics of atmospheric aerosols were studied by a single-particle aerosol mass spectrometry (SPAMS) at the Heshan atmospheric supersite of Guangdong in the dry season (November 4 to December 30) in 2013. Over 1.6 × 106 fine particles were characterized by the SPAMS with the ART-2a neural network algorithms. All the particles were classified into 9 main categories: elemental carbon (EC)-Fresh, EC-Nitrate/Sulfate, K-EC, Ca-EC, internally mixed elemental-organic carbon (ECOC), organic carbon (OC)-Levoglucosan, OC-Nitrate/Sulfate, K-Nitrate/Sulfate and Metal-rich particles. Results showed that those particles rich in secondary water soluble ions, like EC-Nitrate/Sulfate, K-Nitrate/Sulfate particles, were enhanced in hazy days at Heshan supersite during the measurement campaign. Furthermore, secondary organic components more favored partitioning to particle phase in sunny days. In rainy days, however, there were more EC-fresh particles and K-EC particles which likely were influenced by local emissions. Finally, EC-Nitrate/Sulfate particles may have a vital role on the formation of haze as they had a good correlation with visibility.
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Received: 30 August 2015
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[1] |
谢鸣捷,王格慧,胡淑圆,等.南京夏秋季大气颗粒物和PAHs组成的粒径分布特征[J]. 中国环境科学, 2008,28(10):867-871.
|
[2] |
Nel A. Air pollution-related illness: Effects of particles[J]. Science, 2005,308(57/23):804-806.
|
[3] |
吴 兑.近十年中国灰霾天气研究综述[J]. 环境科学报, 2012, 32(2):257-269.
|
[4] |
吴 蒙,范绍佳,吴 兑,等.广州地区灰霾与清洁天气变化特征及影响因素分析[J]. 中国环境科学, 2012,32(8):1409-1415.
|
[5] |
王 静,牛生杰,许 丹,等.南京一次典型雾霾天气气溶胶光学特性[J]. 中国环境科学, 2013,32(2):201-208.
|
[6] |
赵普生,徐晓峰,孟 伟,等.京津冀区域霾天气特征[J]. 中国环境科学, 2012,32(1):31-36.
|
[7] |
刘一鸣,洪莹莹,张舒婷,等.珠江三角洲秋季典型气溶胶污染的过程分析[J]. 中国环境科学, 2014,34(12):3017-3025.
|
[8] |
Yang F, Chen H, Du J, et al. Evolution of the mixing state of fine aerosols during haze events in Shanghai[J]. Atmospheric Research, 2012,(104/105):193-201.
|
[9] |
Wang H L, Zhu B, Zhang Z F, et al. Mixing state of individual carbonaceous particles during a severe haze episode in January 2013, Nanjing, China[J]. Particuology, 2015,20:16-23.
|
[10] |
Bi X H, Zhang G H, Li L, et al. Mixing state of biomass burning particles by single particle aerosol mass spectrometer in the urban area of PRD, China[J]. Atmospheric Environment, 2011,45(20): 3447-3453.
|
[11] |
Zhang G, Bi X, Li L, et al. Mixing state of individual submicron carbon-containing particles during spring and fall seasons in urban Guangzhou, China: A case study[J]. Atmospheric Chemistry and Physics, 2013,13(9):4723-4735.
|
[12] |
何俊杰,张国华,王伯光,等.鹤山灰霾期间大气单颗粒气溶胶特征的初步研究[J]. 环境科学学报, 2013,33(8):2098-2104.
|
[13] |
宋 宇,唐孝炎,方 晨,等.北京市能见度下降与颗粒物污染的关系[J]. 环境科学学报, 2003,23(4):468-471.
|
[14] |
黄怡民,刘子锐,陈 宏,等.北京夏冬季霾天气下气溶胶水溶性离子粒径分布特征[J]. 环境科学, 2013,34(4):1236-1244.
|
[15] |
陈世训,沈灿燊.广州的气候.中山大学学报(自然科学版), 1956,(2):128-153.
|
[16] |
谭吉华.广州灰霾期间气溶胶物化特性及其对能见度影响的初步研究[D]. 中国科学院研究生院(广州地球化学研究所), 2007.
|
[17] |
Li L, Huang Z X, Dong J G, et al. Real time bipolar time-of-flight mass spectrometer for analyzing single aerosol particles[J]. International Journal of Mass Spectrometry, 2011, 303(2/3):118-124.
|
[18] |
QX/T113-2010 霾的观测和预报等级[S].
|
[19] |
陈多宏,何俊杰,张国华,等.不同天气类型广东大气超级站细粒子污染特征初步研究[J]. 地球化学, 2014,43(3):217-223.
|
[20] |
Taiwo A M, Harrison R M, Beddows D C S, et al. Source apportionment of single particles sampled at the industrially polluted town of Port Talbot, United Kingdom by ATOFMS[J]. Atmospheric Environment, 2014,97:155-165.
|
[21] |
Hudson P K, Murphy D M, Cziczo D J, et al. Biomass-burning particle measurements: Characteristic composition and chemical processing[J]. Journal of Geophysical Research: Atmospheres, 2004,109(D23).DOI:10.1029/2003JD004398.
|
[22] |
Schauer J J, Kleeman M J, Cass G R, et al. Measurement of emissions from air pollution sources 3. C-1-C-29 organic compounds from fire place combustion of wood[J]. Environment Science & Technology, 2001,35(9):1716-1728.
|
[23] |
Healy R M, Sciare J, Poulain L, et al. Sources and mixing state of size-resolved elemental carbon particles in a European megacity: Paris[J]. Atmospheric Chemistry and Physics, 2012,12(4):1681-1700.
|
[24] |
Sodeman D A, Toner S M, Prather K A. Determination of single particle mass spectral signatures from light-duty vehicle emissions[J]. Environment Science & Technology, 2005,39(12): 4569-4580.
|
[25] |
Dall'Osto M, Harrison R M. Chemical characterisation of single airborne particles in Athens (Greece) by ATOFMS[J]. Atmospheric Environment, 2006,40(39):7614-7631.
|
[26] |
Liu D, Wenzel R J, Prather, K A. "Aerosol Time-of-Flight Mass Spectrometry during the Atlanta Supersite Experiment: 1. Measurements."[J]. Journal of Geophysical Research, 2003, 108(D7):8426-8442.
|
[27] |
Bein K J, Zhao Y, Johnston M V, et al. Interactions between boreal wildfire and urban emissions[J]. Journal of Geophysical Research: Atmospheres (1984-2012), 2008,113(D7).
|
[28] |
Silva P J, Liu D Y, Noble C A, et al. Size and chemical characterization of individual particles resulting from biomass burning of local Southern California species[J]. Environmental Science & Technology, 1999,33(18):3068-3076.
|
[29] |
Moffet R C, Prather K A. In-situ measurement of the mixing state and optical properties of soot with implications for radiative forcing estimate[J]. Proceedings of the National Academy of Sciences of the United States of America, 2009,106(29): 11872-11877.
|
[30] |
Moffet R C, de Foy B, Molina L T, et al. 2008. Measurement of ambient aerosols in northern Mexico City by single particle mass spectrometry[J]. Atmospheric Chemistry and Physics, 8(16): 4499-4516.
|
[31] |
Qin X Y. 2007. Characterization of ambient aerosol composition and formation mechanisms and development of quantification methodologies utilizing ATOFMS[D]. San Diego: University of California.
|
[32] |
Naoe H, Hasegawa S, Heintzenberg J, et al. State of mixture of atmospheric submicrometer black carbon particles and its effect on particulate light absorption[J]. Atmospheric Environment, 43,1296-1301,doi:10.1016/j.atmosenv.2008.11.031, 2009.
|
|
|
|