Articles | Volume 19, issue 14
https://doi.org/10.5194/acp-19-9017-2019
https://doi.org/10.5194/acp-19-9017-2019
Research article
 | 
17 Jul 2019
Research article |  | 17 Jul 2019

Measurement and model analyses of the ozone variation during 2006 to 2015 and its response to emission change in megacity Shanghai, China

Jianming Xu, Xuexi Tie, Wei Gao, Yanfen Lin, and Qingyan Fu

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Cited articles

Binkowski, F. S. and Roselle, S. J.: Models-3 community multi scale air quality (CMAQ) model aerosol component – 1. Model description, J. Geophys. Res., 108, 4183, https://doi.org/10.1029/2001jd001409, 2003. 
Brasseur, G. P., Orlando, J. J., and Tyndall, G. S.: Atmospheric chemistry and global change, Oxford University Press, Cambridge, USA, 654 pp., 1999. 
Cai, C. J., Geng, F. H., Tie, X. X., Yu, Q., and An J. L.: Characteristics and source apportionment of VOCs measured in Shanghai, China, Atmos. Environ., 44, 5005–5014, 2010. 
Chen, F. and Dudhia, J.: Coupling an advanced land surface hydrology model with the Penn State-NCAR MM5 modeling system, Part I: Model implementation and sensitivity, Mon. Weather Rev., 129, 569–585, 2001. 
Dudhia, J.: Numerical study of convection observed during the winter monsoon experiment using a mesoscale two-dimensional model, J. Atmos. Sci., 46, 3077–3107, 1989. 
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Short summary
The PM2.5 in China has decreased significantly in recent years as a result of the implementation of the Chinese Clean Air Action Plan in 2013, while the O3 pollution is getting worse, especially in megacities. The work aims to better understand the elevated O3 pollution in the megacity of Shanghai, China, and its response to emission changes, which is important for developing an effective emission control strategy in the future.
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