Particle Size Distribution Dynamics Can Help Constrain the Phase State of Secondary Organic Aerosol

He, Yicong; Akherati, Ali; Nah, Theodora; Ng, Nga L.; Garofalo, Lauren A.; Farmer, Delphine K.; Shiraiwa, Manabu; Zaveri, Rahul A.; Cappa, Christopher; Pierce, Jeffrey; Jathar, Shantanu

doi:10.1021/acs.est.0c05796

Particle Size Distribution Dynamics Can Help Constrain the Phase State of Secondary Organic Aerosol

Journal Article · 02 February 2021 · Environmental Science & Technology

DOI:https://doi.org/10.1021/acs.est.0c05796· OSTI ID:1767151

He, Yicong ^[1]; Akherati, Ali ^[1]; Nah, Theodora ^[2]; Ng, Nga L. ^[3]; Garofalo, Lauren A. ^[4]; Farmer, Delphine K. ^[1]; Shiraiwa, Manabu ^[5]; ^[6]; Cappa, Christopher ^[7]; Pierce, Jeffrey ^[1]; Jathar, Shantanu ^[1]

Colorado State University
City University of Hong Kong
Georgia Institute of Technology
COLORADO STATE UNIVERSITY
University of California, Irvine
BATTELLE (PACIFIC NW LAB)
University of California, Davis

Particle phase state is a property of atmospheric aerosols that has important implications for the formation, evolution, and gas/particle partitioning of secondary organic aerosol (SOA). In this work, we use a size-resolved chemistry and microphysics model (SOM-TOMAS), updated to include an explicit treatment of particle phase state, to constrain the bulk diffusion coefficient (Db) of SOA produced from ??- pinene ozonolysis. By leveraging data from laboratory experiments performed in the absence of a seed and under dry conditions, we find that the Db for SOA can be constrained (1-7 ×10-15 cm2 s-1 in these experiments) by simultaneously reproducing the time-varying SOA mass concentrations and the evolution of the particle size distribution. Another version of our model that used the predicted SOA composition to calculate the glass transition temperature, viscosity, and, ultimately, Db (~10-15 cm2 s-1) of the SOA was able to reproduce the mass and size distribution measurements when we included oligomer formation (oligomers accounted for about a fifth of the SOA mass). Our work highlights the potential of a size resolved SOA model to constrain the particle phase state of SOA by utilizing historical measurements of the evolution of the particle size distribution.

Research Organization:: Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)

Sponsoring Organization:: USDOE

DOE Contract Number:: AC05-76RL01830;

OSTI ID:: 1767151

Report Number(s):: PNNL-SA-156556

Journal Information:: Environmental Science & Technology, Journal Name: Environmental Science & Technology Journal Issue: 3 Vol. 55

Country of Publication:: United States

Language:: English

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