Two-component aerosol dynamic simulation using differentially weighted operator splitting Monte Carlo method

H. M. Liu, T. L. Chan

Research output: Journal article publicationJournal articleAcademic researchpeer-review

12 Citations (Scopus)

Abstract

A differentially weighted operator splitting Monte Carlo (DWOSMC) method is further developed to study multi-component aerosol dynamics. The proposed method involves the use of an excellent combination of stochastic and deterministic approaches. Component-related particle volume density distributions are examined, and the computational accuracy and efficiency of the two-component DWOSMC method is verified against a sectional method. For the one-component aerosol system, the sectional method is more computationally efficient than the DWOSMC method, while for two-component aerosol systems, the DWOSMC method proves to be much more computationally efficient than the sectional method. Using this newly developed multi-component DWOSMC method, compositional distributions of particles can be obtained to determine simultaneous coagulation and condensation processes that occur in different regimes of two-component aerosol systems.

Original languageEnglish
Pages (from-to)237-253
Number of pages17
JournalApplied Mathematical Modelling
Volume62
DOIs
Publication statusPublished - Oct 2018

Keywords

  • Aerosol dynamics
  • Compositional distribution
  • Computational efficiency
  • Differentially weighted operator splitting Monte Carlo
  • Multi-component

ASJC Scopus subject areas

  • Modelling and Simulation
  • Applied Mathematics

Fingerprint

Dive into the research topics of 'Two-component aerosol dynamic simulation using differentially weighted operator splitting Monte Carlo method'. Together they form a unique fingerprint.

Cite this