VOC characteristics, emissions and contributions to SOA formation during hazy episodes

被引:177
作者
Sun, Jie [1 ]
Wu, Fangkun [1 ]
Hu, Bo [1 ]
Tang, Guiqian [1 ]
Zhang, Junke [1 ]
Wang, Yuesi [1 ]
机构
[1] Chinese Acad Sci, Inst Atmospher Phys, LAPC, Beijing 100191, Peoples R China
基金
中国国家自然科学基金;
关键词
VOC; Haze; SOA formation potential; Initial emission sources; VOLATILE ORGANIC-COMPOUNDS; PEARL RIVER-DELTA; SOURCE APPORTIONMENT; AEROSOL FORMATION; HYDROCARBON RATIOS; AIR-POLLUTION; SURFACE OZONE; URBAN; CHINA; ATMOSPHERE;
D O I
10.1016/j.atmosenv.2016.06.060
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Volatile organic compounds (VOC) are important precursors of secondary organic aerosols (SOA). The pollution processes in Beijing were investigated from 18th October to 6th November 2013 to study the characteristics, SOA formation potential and contributing factors of VOC during hazy episodes. The mean concentrations of VOC were 67.4 +/- 33.3 mu g m(-3) on clear days and have 5-7-fold increase in polluted periods. VOC concentrations rapidly increased at a visibility range of 4-5 km with the rate of 25%/km in alkanes, alkenes and halocarbons and the rate of 45%/km in aromatics. Analysis of the mixing layer height (MLH); wind speed and ratios of benzene/toluene (B/T), ethylbenzene/m,p-xylene (E/X), and isopentane/n-pentane (i/n) under different visibility conditions revealed that the MLH and wind speed were the 2 major factors affecting the variability of VOC during clear days and that local emissions and photochemical reactions were main causes of VOC variation on polluted days. Combined with the fractional aerosol coefficient (FAC) method, the SOA formation potentials of alkanes, alkenes and aromatics were 0.3 +/- 0.2 mu g m(-3), 1.1 +/- 1.0 mu g m(-3) and 6.5 +/- 6.4 mu g m(-3), respectively. As the visibility deteriorated, the SOA formation potential increased from 2.1 mu g m(-3) to 13.2 mu g m(-3), and the fraction of SOA-forming aromatics rapidly increased from 56.3% to 90.1%. Initial sources were resolved by a positive matrix factorization (PMF) model. Vehicle-related emissions were an important source of VOC at all visibility ranges, accounting for 23%-32%. As visibility declined, emissions from solvents and the chemical industry increased from 13.2% and 63% to 34.2% and 23.0%, respectively. Solvents had the greatest SOA formation ability, accounting for 52.5% on average on hazy days, followed by vehicle -related emissions(20.7%). (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:560 / 570
页数:11
相关论文
共 74 条
[1]  
[Anonymous], ATMOS CHEM PHYS DISC
[2]  
[Anonymous], 2020, Gothenburg Protocol to reduce transboundary air pollution, DOI DOI 10.5860/CHOICE.44-4512
[3]  
[Anonymous], ATMOS CHEM PHYS DISC
[4]   Atmospheric chemistry of VOCs and NOx [J].
Atkinson, R .
ATMOSPHERIC ENVIRONMENT, 2000, 34 (12-14) :2063-2101
[5]   GAS-PHASE TROPOSPHERIC CHEMISTRY OF ORGANIC-COMPOUNDS - A REVIEW [J].
ATKINSON, R .
ATMOSPHERIC ENVIRONMENT PART A-GENERAL TOPICS, 1990, 24 (01) :1-41
[6]   Characterization of volatile organic compounds in smoke at experimental fires [J].
Austin, CC ;
Wang, D ;
Ecobichon, DJ ;
Dussault, G .
JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH-PART A, 2001, 63 (03) :191-206
[7]   Applying receptor models to analyze urban/suburban VOCs air anality in Martorell (Spain) [J].
Baldasano, JM ;
Delgado, R ;
Calbo, J .
ENVIRONMENTAL SCIENCE & TECHNOLOGY, 1998, 32 (03) :405-412
[8]   Mixing ratios of volatile organic compounds (VOCs) in the atmosphere of Karachi, Pakistan [J].
Barletta, B ;
Meinardi, S ;
Simpson, IJ ;
Khwaja, HA ;
Blake, DR ;
Rowland, FS .
ATMOSPHERIC ENVIRONMENT, 2002, 36 (21) :3429-3443
[9]   Spatial and temporal variation of historical anthropogenic NMVOCs emission inventories in China [J].
Bo, Y. ;
Cai, H. ;
Xie, S. D. .
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2008, 8 (23) :7297-7316
[10]   Characterisation of NMHCs in a French urban atmosphere: overview of the main sources [J].
Borbon, A ;
Locoge, N ;
Veillerot, M ;
Galloo, JC ;
Guillermo, R .
SCIENCE OF THE TOTAL ENVIRONMENT, 2002, 292 (03) :177-191