4.5 Article

Numerical Modeling of Droplet Aerosol Coagulation, Condensation/Evaporation and Deposition Processes

期刊

ATMOSPHERE
卷 13, 期 2, 页码 -

出版社

MDPI
DOI: 10.3390/atmos13020326

关键词

DWOSMC method; droplet aerosol; condensation; evaporation; deposition; coagulation

资金

  1. Natural Science Foundation of Jiangsu Province [BK20210854]
  2. Natural Science Fund Project of Colleges in Jiangsu Province [20KJB470009]
  3. Jiangsu Provincial Double-Innovation Doctor Program [JSSCBS20210883]

向作者/读者索取更多资源

The differentially weighted operator-splitting Monte Carlo (DWOSMC) method is further developed to describe the dynamic behaviors of droplet aerosols. It considers various processes such as coagulation, deposition, condensation, and evaporation. The results of this method agree well with analytical solutions and other methods, and it can predict the changes in various parameters of droplet aerosol systems.
The differentially weighted operator-splitting Monte Carlo (DWOSMC) method is further developed to describe the droplet aerosol dynamic behaviors, including coagulation, deposition, condensation, and evaporation processes. It is first proposed that the droplet aerosols will experience firstly condensation and then evaporation, and this phenomenon is first implemented into the Monte Carlo method and sectional method with considering coagulation, deposition, and condensation/evaporation processes in both single-component and two-component aerosol particle systems. It is found that the calculated results of the DWOSMC method agree well with both the analytical solutions and the sectional method. The further developed DWOSMC method can predict the variation of particle number density, total particle volume, mean particle diameter, particle size distributions, and the component-related particle volume densities in both single component and two-component droplet aerosol systems considering coagulation, deposition, and condensation/evaporation processes.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据