4.7 Article

Modeling organic aerosols over east China using a volatility basis-set approach with aging mechanism in a regional air quality model

Journal

ATMOSPHERIC ENVIRONMENT
Volume 124, Issue -, Pages 186-198

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.atmosenv.2015.05.045

Keywords

Secondary organic aerosol; Volatility basis-set; Chemical aging; Air quality model; East China

Funding

  1. National 973 Project of China [2014CB953703]
  2. 'Strategic Priority Research Program' of the Chinese Academy of Sciences [XDA05100502]
  3. National Natural Science Foundation of China [41375151, 41075106]
  4. China National Science Funds for Distinguished Young Scholars [41325014]

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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.

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