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Volume 16, issue 11
Atmos. Chem. Phys., 16, 7373–7387, 2016
https://doi.org/10.5194/acp-16-7373-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Atmos. Chem. Phys., 16, 7373–7387, 2016
https://doi.org/10.5194/acp-16-7373-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 14 Jun 2016

Research article | 14 Jun 2016

Typical synoptic situations and their impacts on the wintertime air pollution in the Guanzhong basin, China

Naifang Bei et al.

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Bei, N., de Foy, B., Lei, W., Zavala, M., and Molina, L. T.: Using 3DVAR data assimilation system to improve ozone simulations in the Mexico City basin, Atmos. Chem. Phys., 8, 7353–7366, https://doi.org/10.5194/acp-8-7353-2008, 2008.
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Bei, N., Li, G., and Molina, L. T.: Uncertainties in SOA simulations due to meteorological uncertainties in Mexico City during MILAGRO-2006 field campaign, Atmos. Chem. Phys., 12, 11295–11308, https://doi.org/10.5194/acp-12-11295-2012, 2012.
Binkowski, F. S. and Roselle, S. J.: Models-3 Community Multiscale Air Quality (CMAQ) model aerosol component: 1. Model description, Journal of Geophysical Research, J. Geophys. Res., 108, 4183, https://doi.org/10.1029/2001JD001409, 2003.
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Rapid industrialization and urbanization have caused severe air pollution in the Guanzhong basin, northwestern China with heavy haze events occurring frequently in recent winters. Due to frequent occurrence of unfavorable synoptic situations during wintertime, mitigation of emissions is the optimum approach to mitigate the air pollution in the Guanzhong basin.
Rapid industrialization and urbanization have caused severe air pollution in the Guanzhong...
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