Aerosol mixing state revealed by transmission electron microscopy pertaining to cloud formation and human airway deposition

Ping Pui CHING, Kouji ADACHI, Yuji ZAIZEN, Yasuhito IGARASHI, Mizuo KAJINO

Research output: Contribution to journalArticlespeer-review

23 Citations (Scopus)

Abstract

Aerosol mixing state is one of the most important factors determining the impacts of aerosol particles on aerosol-cloud-climate interactions and human health. The size, composition, and morphology of about 32,000 single particles are analyzed using transmission electron microscopy (TEM) to evaluate per-particle mixing state. Based on the TEM analysis, we quantify aerosol mixing state and examine the impacts of per-particle mixing state on cloud condensation nuclei (CCN) properties and particle deposition efficiency along the human respiratory tract. Assuming homogeneous chemical composition across the aerosol population, a common practice in many global and regional models to various extents, we show that such simplification of mixing state representation could potentially lead to remarkable errors, a maximum of about 90% and 35%, in CCN concentrations and deposition efficiency calculations respectively. Our results from ambient per-particle observations highlight the importance of considering aerosol mixing state in both air quality models and climate models. Copyright © 2019 The Author(s).

Original languageEnglish
Article number22
Journalnpj Climate and Atmospheric Science
Volume2
DOIs
Publication statusPublished - Dec 2019

Citation

Ching, J., Adachi, K., Zaizen, Y., Igarashi, Y., & Kajino, M. (2019). Aerosol mixing state revealed by transmission electron microscopy pertaining to cloud formation and human airway deposition. npj Climate and Atmospheric Science, 2, Article 22. https://doi.org/10.1038/s41612-019-0081-9

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