Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of
Meteorological Sciences, Beijing, 100081, China
Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological
Administration, Nanjing University of Information Science & Technology,
Nanjing, 210044, China
Xiaoye Zhang
Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of
Meteorological Sciences, Beijing, 100081, China
Center for Excellence in Regional Atmospheric Environment, IUE,
Chinese Academy of Sciences, Xiamen, 361021, China
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Cumulative views and downloads
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Total article views: 3,457 (including HTML, PDF, and XML)
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1,924
1,439
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BibTeX: 81
EndNote: 132
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577
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Viewed (geographical distribution)
Total article views: 4,281 (including HTML, PDF, and XML)
Thereof 4,262 with geography defined
and 19 with unknown origin.
Total article views: 3,457 (including HTML, PDF, and XML)
Thereof 3,425 with geography defined
and 32 with unknown origin.
Total article views: 824 (including HTML, PDF, and XML)
Thereof 824 with geography defined
and 0 with unknown origin.
Heavy aerosol pollution incidents have attracted much attention since 2013, but the temporal and spatial limitations of observations and the inaccuracy of simulation are a stumbling block to assessing pollution mechanisms. The correct simulation of boundary layer mixing process of pollutant is a challenge for mesoscale numerical models. We add the turbulent diffusion term of aerosol to the WRF-Chem model to prove the impact of turbulent diffusion on pollutant concentration.
Heavy aerosol pollution incidents have attracted much attention since 2013, but the temporal and...
