Weighted Flow Algorithms (WFA) for stochastic particle coagulation
- Department of Mathematics, University of Illinois at Urbana-Champaign, 1409 W. Green Street, Urbana, IL 61801 (United States)
- Department of Atmospheric Science, University of Illinois at Urbana-Champaign, 105 S. Gregory Street, Urbana, IL 61801 (United States)
- Department of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, 1206 W. Green Street, Urbana, IL 61801 (United States)
Stochastic particle-resolved methods are a useful way to compute the time evolution of the multi-dimensional size distribution of atmospheric aerosol particles. An effective approach to improve the efficiency of such models is the use of weighted computational particles. Here we introduce particle weighting functions that are power laws in particle size to the recently-developed particle-resolved model PartMC-MOSAIC and present the mathematical formalism of these Weighted Flow Algorithms (WFA) for particle coagulation and growth. We apply this to an urban plume scenario that simulates a particle population undergoing emission of different particle types, dilution, coagulation and aerosol chemistry along a Lagrangian trajectory. We quantify the performance of the Weighted Flow Algorithm for number and mass-based quantities of relevance for atmospheric sciences applications.
- OSTI ID:
- 21592616
- Journal Information:
- Journal of Computational Physics, Vol. 230, Issue 23; Other Information: DOI: 10.1016/j.jcp.2011.07.027; PII: S0021-9991(11)00455-4; Copyright (c) 2011 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.; Country of input: International Atomic Energy Agency (IAEA); ISSN 0021-9991
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
AEROSOLS
ALGORITHMS
COMPUTERIZED SIMULATION
EQUATIONS
LAGRANGIAN FUNCTION
MATHEMATICAL EVOLUTION
MATHEMATICAL MODELS
MATHEMATICAL SOLUTIONS
PARTICLE SIZE
PARTICLES
STOCHASTIC PROCESSES
WEIGHTING FUNCTIONS
COLLOIDS
DISPERSIONS
EVOLUTION
FUNCTIONS
MATHEMATICAL LOGIC
SIMULATION
SIZE
SOLS