Simulations of organic aerosol concentrations during springtime in the Guanzhong Basin, China
The organic aerosol (OA) concentration is simulated in the Guanzhong Basin, China from 23 to 25 April 2013 utilizing the WRF-CHEM model. Two approaches are used to predict OA concentrations: (1) a traditional secondary organic aerosol (SOA) module; (2) a non-traditional SOA module including the...
| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2016-08-01
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| Series: | Atmospheric Chemistry and Physics |
| Online Access: | https://www.atmos-chem-phys.net/16/10045/2016/acp-16-10045-2016.pdf |
| Summary: | The organic aerosol (OA) concentration is simulated in the Guanzhong Basin,
China from 23 to 25 April 2013 utilizing the WRF-CHEM model. Two approaches
are used to predict OA concentrations: (1) a traditional secondary organic
aerosol (SOA) module; (2) a non-traditional SOA module including the
volatility basis-set modeling method in which primary organic aerosol (POA)
is assumed to be semivolatile and photochemically reactive. Generally, the
spatial patterns and temporal variations of the calculated hourly
near-surface ozone and fine particle matters agree well with the observations
in Xi'an and surrounding areas. The model also yields reasonable
distributions of daily PM<sub>2.5</sub> and elemental carbon (EC) compared to the
filter measurements at 29 sites in the basin. Filter-measured organic carbon
(OC) and EC are used to evaluate OA, POA, and SOA using the OC ∕ EC ratio
approach. Compared with the traditional SOA module, the non-traditional
module significantly improves SOA simulations and explains about 88 % of
the observed SOA concentration. Oxidation and partitioning of POA treated as
semivolatile constitute the most important pathway for the SOA formation,
contributing more than 75 % of the SOA concentrations in the basin.
Residential emissions are the dominant anthropogenic OA source, constituting
about 50 % of OA concentrations in urban and rural areas and 30 % in
the background area. The OA contribution from transportation emissions
decreases from 25 % in urban areas to 20 % in the background area,
and the industry emission OA contribution is less than 6 %. |
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| ISSN: | 1680-7316 1680-7324 |