期刊
JOURNAL OF AEROSOL SCIENCE
卷 166, 期 -, 页码 -出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.jaerosci.2022.106063
关键词
aerosol Dynamics; Organic aerosols; Nanoparticle growth; Volatility basis set
类别
资金
- European Union [895875]
- US National Science Foundation [AGS2132089]
- Marie Curie Actions (MSCA) [895875] Funding Source: Marie Curie Actions (MSCA)
This article introduces a method for modeling organic aerosol growth and provides detailed instructions on how to use a 2-dimensional VBS based on gas-phase measurements. It demonstrates the calculation of growth rates using examples from field and chamber measurements, and summarizes the limitations of this approach and the necessary future developments.
Organic aerosols are ubiquitous in the atmosphere and oxygenated organics are a major driver of aerosol growth. The volatility basis set (VBS) as introduced by Donahue et al. (2006, 2011) is often used to simplify the partitioning behavior of the huge variety of atmospheric organics. Recently, the VBS was used to dynamically model aerosol growth from the smallest sizes onwards. This tutorial is intended to equip the reader with the necessary tools to facilitate organic growth modelling based on gas-phase measurements of oxygenated organics using a 2-dimensional VBS. We start with a contextualization of the VBS in partitioning theory and point out the need for dynamic modeling. We provide an overview on the most common methods to estimate the volatility of oxygenated organics and give detailed instruction on how to construct the binned VBS. We then explain the dynamic condensation model including solution and curvature effects. Furthermore, we provide a python package for VBS growth calculations and show with two ex-amples from ambient and chamber measurements how growth rates can be calculated. Last, we summarize the limitation of this approach and outline necessary future developments.
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