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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2,600
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Cumulative views and downloads
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Total article views: 3,648 (including HTML, PDF, and XML)
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2,001
1,550
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3,648
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PDF: 1,550
XML: 97
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Supplement: 197
BibTeX: 84
EndNote: 137
Views and downloads (calculated since 19 Nov 2021)
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Total article views: 846 (including HTML, PDF, and XML)
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599
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Viewed (geographical distribution)
Total article views: 4,494 (including HTML, PDF, and XML)
Thereof 4,480 with geography defined
and 14 with unknown origin.
Total article views: 3,648 (including HTML, PDF, and XML)
Thereof 3,619 with geography defined
and 29 with unknown origin.
Total article views: 846 (including HTML, PDF, and XML)
Thereof 846 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...
