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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2,514
1,681
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Total: 4,303
Supplement: 333
BibTeX: 89
EndNote: 140
Views and downloads (calculated since 07 Jul 2021)
Cumulative views and downloads
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Total article views: 3,477 (including HTML, PDF, and XML)
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1,935
1,448
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3,477
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HTML: 1,935
PDF: 1,448
XML: 94
Total: 3,477
Supplement: 178
BibTeX: 81
EndNote: 132
Views and downloads (calculated since 19 Nov 2021)
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Total article views: 826 (including HTML, PDF, and XML)
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579
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14
826
155
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Total: 826
Supplement: 155
BibTeX: 8
EndNote: 8
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Cumulative views and downloads
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Viewed (geographical distribution)
Total article views: 4,303 (including HTML, PDF, and XML)
Thereof 4,287 with geography defined
and 16 with unknown origin.
Total article views: 3,477 (including HTML, PDF, and XML)
Thereof 3,446 with geography defined
and 31 with unknown origin.
Total article views: 826 (including HTML, PDF, and XML)
Thereof 826 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...
