Source apportionment of secondary organic aerosol in China using a regional source-oriented chemical transport model and two emission inventories

被引：60
作者：
Wang, Peng [1 ]
Wang, Qi [1 ,2 ]
Zhang, Hongliang [2 ,3 ]
Hu, Jianlin [2 ]
Lin, Yingchao [4 ]
Mao, Hongjun [4 ]
机构：
[1] Texas A&M Univ, Zachry Dept Civil Engn, College Stn, TX 77845 USA
[2] Nanjing Univ Informat Sci & Technol, Sch Environm Sci & Engn, 219 Ningliu Rd, Nanjing 210044, Jiangsu, Peoples R China
[3] Louisiana State Univ, Dept Civil & Environm Engn, Baton Rouge, LA 70803 USA
[4] Nankai Univ, Coll Environm Sci & Engn, Ctr Urban Transport Emiss Res, State Environm Protect Key Lab Urban Ambient Air, Tianjin 30071, Peoples R China
来源：
ENVIRONMENTAL POLLUTION | 2018年 / 237卷
基金：
中国国家自然科学基金;
关键词：
Source apportionment; Secondary organic aerosol; Emission inventory; Transportation; POLYCYCLIC AROMATIC-HYDROCARBON; ESTIMATING POPULATION EXPOSURE; AIRBORNE PARTICULATE MATTER; NATIONAL NATURE-RESERVE; YANGTZE-RIVER DELTA; AIR-QUALITY; SOA FORMATION; SEVERE HAZE; SUBMICRON AEROSOLS; GREENHOUSE GASES;
D O I：
10.1016/j.envpol.2017.10.122
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
A Community Multiscale Air Quality (CMAQ) model with source-oriented lumped SAPRC-11 (S11L) photochemical mechanism and secondary organic aerosol (SOA) module was applied to determine the contributions of anthropogenic and biogenic sources to SOA concentrations in China. A one-year simulation of 2013 using the Multi-resolution Emission Inventory for China (MEIC) shows that summer SOA are generally higher (10-15 mu g m(-3)) due to large contributions of biogenic (country average 60%) and industrial sources (17%). In winter, SOA formation was mostly due to anthropogenic emissions from industries (40%) and residential sources (38%). Emissions from other countries in southeast China account for approximately 14% of the SOA in both summer and winter, and 46% in spring due to elevated open biomass burning in southeast Asia. The Regional Emission inventory in ASia v2.1 (REAS2) was applied in this study for January and August 2013. Two sets of simulations with the REAS2 inventory were conducted using two different methods to speciate total non-methane carbon into model species. One approach uses total non-methane hydrocarbon (NMHC) emissions and representative speciation profiles from the SPECIATE database. The other approach retains the REAS2 speciated species that can be directly mapped to S11L model species and uses source specific splitting factors to map other REAS2 lumped NMHC species. Biogenic emissions are still the most significant contributor in summer based on these two sets of simulations. However, contributions from the transportation sector to SOA in January are predicted to be much more important based on the two REAS2 emission inventories (similar to 30-40% vs. similar to 5% by MEIC), and contributions from residential sources according to REAS2 was much lower (similar to 21-24% vs. similar to 42%). These discrepancies in source contributions to SOA need to be further investigated as the country seeks for optimal emission control strategies to fight severe air pollution. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码：756 / 766
页数：11
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