Mixing state evolution of agglomerating particles in an aerosol chamber: Comparison of measurements and particle-resolved simulations

doi:10.1080/02786826.2019.1661959

This content will become publicly available on September 19, 2020

Title: Mixing state evolution of agglomerating particles in an aerosol chamber: Comparison of measurements and particle-resolved simulations

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Abstract

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.

Authors:

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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)

Publication Date:: 2019-09-19

Research Org.:: Brookhaven National Lab. (BNL), Upton, NY (United States)

Sponsoring Org.:: USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)

OSTI Identifier:: 1561250

Report Number(s):: BNL-212073-2019-JAAM
Journal ID: ISSN 0278-6826

Grant/Contract Number:: SC0012704

Resource Type:: Accepted Manuscript

Journal Name:: Aerosol Science and Technology

Additional Journal Information:: Journal Name: Aerosol Science and Technology; Journal ID: ISSN 0278-6826

Publisher:: American Association for Aerosol Research

Country of Publication:: United States

Language:: English

Subject:: 54 ENVIRONMENTAL SCIENCES

Citation Formats


                    Shou, Chenchao, Riemer, Nicole, Onasch, Timothy B., Sedlacek, Arthur J., Lambe, Andrew T., Lewis, Ernie R., Davidovits, Paul, and West, Matthew. Mixing state evolution of agglomerating particles in an aerosol chamber: Comparison of measurements and particle-resolved simulations.  United States: N. p., 2019. 
        Web.  doi:10.1080/02786826.2019.1661959.

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                    Shou, Chenchao, Riemer, Nicole, Onasch, Timothy B., Sedlacek, Arthur J., Lambe, Andrew T., Lewis, Ernie R., Davidovits, Paul, & West, Matthew. Mixing state evolution of agglomerating particles in an aerosol chamber: Comparison of measurements and particle-resolved simulations.  United States.  doi:10.1080/02786826.2019.1661959.

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                    Shou, Chenchao, Riemer, Nicole, Onasch, Timothy B., Sedlacek, Arthur J., Lambe, Andrew T., Lewis, Ernie R., Davidovits, Paul, and West, Matthew. Thu .  
        "Mixing state evolution of agglomerating particles in an aerosol chamber: Comparison of measurements and particle-resolved simulations".  United States.  doi:10.1080/02786826.2019.1661959.

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@article{osti_1561250,

  title        = {Mixing state evolution of agglomerating particles in an aerosol chamber: Comparison of measurements and particle-resolved simulations},

  author       = {Shou, Chenchao and Riemer, Nicole and Onasch, Timothy B. and Sedlacek, Arthur J. and Lambe, Andrew T. and Lewis, Ernie R. and Davidovits, Paul and West, Matthew},

  abstractNote = {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.},

  doi          = {10.1080/02786826.2019.1661959},

  journal      = {Aerosol Science and Technology},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {2019},

  month        = {9}

}

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