EventsThe 3rd International Electronic Conference on Atmospheric Sciences
Published
This submission belongs to the session S2. Air Quality of the event The 3rd International Electronic Conference on Atmospheric Sciences
Published date
13 Nov, 2020
Citation
Le Cao, Zhijie Li, Mengmeng Gao, Simulations of Pollutant Diffusion under Different Meteorological Conditions, in Proceedings of The 3rd International Electronic Conference on Atmospheric Sciences, 16 November–30 November 2020, MDPI: Basel, Switzerland, doi: 10.3390/ecas2020-08134
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Simulations of Pollutant Diffusion under Different Meteorological Conditions

Zhijie Li 2
Mengmeng Gao 3
1. Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing 210044, China
2. State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
3. Key Laboratory for Aerosol‐Cloud‐Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing 210044, China
Abstract

Pollutants enter into the atmospheric boundary layer (ABL) after emitted from surface sources, which has a great influence on the health of human beings. The diffusion of the pollutants within the ABL is strongly affected by meteorological conditions, such as the radiation, wind speed and turbulent mixing. In order to estimate the effects caused by different meteorological factors on the diffusion, in this study, finite difference method was used to solve the diffusion equation of pollutant. The solution was first compared with the theoretical solution, in order to verify the correctness of the model. Moreover, the model was extended to three dimensions, by considering the vertical mixing between different vertical layers. In this study, we obtained the spatial and temporal evolution of pollutants under different wind speed conditions for different types of pollutant source distribution, which is of guiding significance for the planning and locating of industrial zones in cities.

Keywords
diffusion equation
meteorological condition
three-dimensional simulation
distribution types
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