Mixing state evolution of agglomerating particles in an aerosol chamber: Comparison of measurements and particle-resolved simulations
- Univ. of Illinois at Urbana-Champaign, Urbana, IL (United States)
- Boston College, Chestnut Hill, MA (United States)
- Brookhaven National Lab. (BNL), Upton, NY (United States)
This article introduces a validation study of the stochastic particle-resolved aerosol model PartMC with experimental data from an aerosol chamber experiment. For the experiment, a scanning mobility particle sizer and a single-particle soot photometer were used to monitor the aerosol mixing state evolution of two initially externally-mixed aerosol populations of ammonium sulfate and black carbon particles undergoing agglomeration. We applied an efficient optimization algorithm (ProSRS) to determine several unconstrained simulation parameters and were able to successfully reproduce number concentrations and size distributions of mixed particles that formed by agglomeration. The PartMC modeling method in conjunction with the optimization procedure provides a tool for detailed comparisons of chamber experiments and modeling, where aerosol mixing state is the focus of investigation.
- Research Organization:
- Brookhaven National Lab. (BNL), Upton, NY (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- Grant/Contract Number:
- SC0012704
- OSTI ID:
- 1561250
- Report Number(s):
- BNL-212073-2019-JAAM
- Journal Information:
- Aerosol Science and Technology, Vol. 53, Issue 11; ISSN 0278-6826
- Publisher:
- American Association for Aerosol ResearchCopyright Statement
- Country of Publication:
- United States
- Language:
- English
Web of Science
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