Modeling organic aerosols over east China using a volatility basis-set approach with aging mechanism in a regional air quality model | |
Han, Zhiwei1; Xie, Zuxin1,2; Wang, Gehui3; Zhang, Renjian1; Tao, Jun4 | |
2016 | |
发表期刊 | ATMOSPHERIC ENVIRONMENT |
卷号 | 124期号:2016页码:186-198 |
文章类型 | Article |
摘要 | A volatility basis set approach with chemical aging mechanism has been incorporated into a regional air quality model system (RAQMS) and used to investigate the distribution of organic aerosols (OA) over east China in April 2009, with focus on secondary organic aerosols (SOA) in fine particle and relative contributions from a series of anthropogenic and biogenic VOC precursors. The comparison between the VBS approach prediction and observation at four sites in east China demonstrates a significant improvement in SOA and OA concentrations compared with the traditional two-product model, which predicts very low SOA level. The average value of secondary organic carbon (SOC) for all sites predicted by the VBS approach with chemical aging is 2.8 mu gC m(-3), quite close to the estimated value of 3.3 mu gC m(-3). The SOC fraction of organic carbon (OC) also increases from just 5% predicted by the two-product model to 33% by the VBS approach with aging, close to the estimated fraction of 32%, suggesting a more realistic and precise representation of SOA formation by the VBS approach. The enhanced SOC prediction further improve OC prediction, reducing the normalized mean bias from -43% to -18%. The VBS approach with aging predicts SOA concentration in PM2.5 of 5-10 mu g m(-3) over most parts of east China. The predicted ASOA concentrations vary from 5.0 to 7.5 mu g m(-3) in the Pearl River Delta, the Yangtze River Delta and the wide areas north of the Yangtze River. BSOA is predicted to be 1.0-2.5 mu g m(-3) across the regions from southeast China to the middle reaches of the Yangtze River and the Yellow River. Prediction with the VBS approach exhibits that ASOA becomes dominant component of SOA, which is more realistic as compared to the BSOA dominance by the two-product model. The domain-average surface POA and SOA concentrations predicted by the VBS approach with aging over east China are 4.86 mu g m(-3) and 4.45 mu g m(-3), with the SOA fraction of total OA and the ASOA fraction of SOA being 48% and 85%, respectively. This indicates the comparable contributions to OA from SOA and POA, and the predominant contribution of ASOA to SOA over east China in springtime. The mean SOA concentrations over east China produced from aromatics, alkanes, alkenes, isoprene, monoterpene and sesquiterpene are predicted to be 2.44, 0.57, 0.8, 0.17, 0.42 and 0.06 mu g m(-3), respectively, which contribute 55%, 13%, 18%, 4%, 9% and 1% of the total SOA. Aromatics are the dominant contributors to SOA formation. (C) 2015 Elsevier Ltd. All rights reserved. |
关键词 | Secondary Organic Aerosol Volatility Basis-set Chemical Aging Air Quality Model East China |
WOS标题词 | Science & Technology ; Life Sciences & Biomedicine ; Physical Sciences |
DOI | 10.1016/j.atmosenv.2015.05.045 |
关键词[WOS] | CHEMICAL-TRANSPORT MODEL ; CARBONACEOUS AEROSOLS ; ATMOSPHERIC AEROSOLS ; TROPOSPHERIC OZONE ; DUST STORM ; ASIA ; EMISSIONS ; SIMULATION ; SEMIVOLATILE ; DEPOSITION |
收录类别 | SCI |
语种 | 英语 |
WOS研究方向 | Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
WOS类目 | Environmental Sciences ; Meteorology & Atmospheric Sciences |
WOS记录号 | WOS:000367860100010 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ieecas.cn/handle/361006/5854 |
专题 | 粉尘与环境研究室 |
作者单位 | 1.Chinese Acad Sci, Inst Atmospher Phys, Key Lab Reg Climate Environm Temperate East Asia, Beijing, Peoples R China 2.Fujian Meteorol Sci Inst, Fuzhou, Peoples R China 3.Chinese Acad Sci, Inst Earth Environm, Key Lab Aerosol, Xian, Peoples R China 4.Minist Environm Protect, South China Inst Environm Sci, Guangzhou, Guangdong, Peoples R China |
推荐引用方式 GB/T 7714 | Han, Zhiwei,Xie, Zuxin,Wang, Gehui,et al. Modeling organic aerosols over east China using a volatility basis-set approach with aging mechanism in a regional air quality model[J]. ATMOSPHERIC ENVIRONMENT,2016,124(2016):186-198. |
APA | Han, Zhiwei,Xie, Zuxin,Wang, Gehui,Zhang, Renjian,&Tao, Jun.(2016).Modeling organic aerosols over east China using a volatility basis-set approach with aging mechanism in a regional air quality model.ATMOSPHERIC ENVIRONMENT,124(2016),186-198. |
MLA | Han, Zhiwei,et al."Modeling organic aerosols over east China using a volatility basis-set approach with aging mechanism in a regional air quality model".ATMOSPHERIC ENVIRONMENT 124.2016(2016):186-198. |
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