Articles | Volume 17, issue 1
Atmos. Chem. Phys., 17, 77–92, 2017
https://doi.org/10.5194/acp-17-77-2017
Atmos. Chem. Phys., 17, 77–92, 2017
https://doi.org/10.5194/acp-17-77-2017

Research article 03 Jan 2017

Research article | 03 Jan 2017

Modeling biogenic and anthropogenic secondary organic aerosol in China

Jianlin Hu et al.

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Cited articles

Akagi, S. K., Yokelson, R. J., Wiedinmyer, C., Alvarado, M. J., Reid, J. S., Karl, T., Crounse, J. D., and Wennberg, P. O.: Emission factors for open and domestic biomass burning for use in atmospheric models, Atmos. Chem. Phys., 11, 4039–4072, https://doi.org/10.5194/acp-11-4039-2011, 2011.
Aramandla, R., Anthony, E. A., Darryl, B. H., Zhongmao, G., and Bommanna, G. L.: Global Environmental Distribution and Human Health Effects of Polycyclic Aromatic Hydrocarbons, in: Global Contamination Trends of Persistent Organic Chemicals, CRC Press, 97–126, https://doi.org/10.1201/b11098-7, 2011.
Borbon, A., Fontaine, H., Veillerot, M., Locoge, N., Galloo, J. C., and Guillermo, R.: An investigation into the traffic-related fraction of isoprene at an urban location, Atmos. Environ., 35, 3749–3760, https://doi.org/10.1016/S1352-2310(01)00170-4, 2001.
Boström, C.-E., Gerde, P., Hanberg, A., Jernström, B., Johansson, C., Kyrklund, T., Rannug, A., Törnqvist, M., Victorin, K., and Westerholm, R.: Cancer risk assessment, indicators, and guidelines for polycyclic aromatic hydrocarbons in the ambient air, Environ. Health Persp., 110, 451–488, 2002.
Cao, C., Jiang, W., Wang, B., Fang, J., Lang, J., Tian, G., Jiang, J., and Zhu, T. F.: Inhalable Microorganisms in Beijing's PM2.5 and PM10 Pollutants during a Severe Smog Event, Environ. Sci. Technol., 48, 1499–1507, https://doi.org/10.1021/es4048472, 2014.
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Short summary
An annual simulation of secondary organic aerosol (SOA) concentrations in China with updated SOA formation pathways reveals that SOA can be a significant contributor to PM2.5 in major urban areas. Summer SOA is dominated by emissions from biogenic sources, while winter SOA is dominated by anthropogenic emissions such as alkanes and aromatic compounds. Reactive surface uptake of dicarbonyls throughout the year and isoprene epoxides in summer is the most important contributor.
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