Published January 20, 2003
| Version v1
Journal article
A stochastic approach for the numerical simulation of the general dynamics equation for aerosols
Description
We present in this article a stochastic algorithm based mainly on [Monte Carlo Methods and Applications 5(1) (1999) 1; Stochastic particle approximations for Smoluchowski's coagulation equation. Technical Report, Weierstrass-Institut for Applied Analysis and Stochastics, 2000. Preprint No. 585] applied to the integration of the General Dynamics Equation (GDE) for aerosols . This algorithm is validated by comparison with analytical solutions of the coagulation-condensation model and may provide an accurate reference solution in cases for which no analytical solution is available
Additional details
Identifiers
- PII
- S0021999102000414;
Publishing Information
- Journal Title
- Journal of Computational Physics
- Journal Volume
- 184
- Journal Issue
- 2
- Journal Page Range
- p. 649-669
- ISSN
- 0021-9991
- CODEN
- JCTPAH
INIS
- Country of Publication
- United States
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 34030611
- Subject category
- S54: ENVIRONMENTAL SCIENCES; S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
- Descriptors DEI
- AEROSOLS; AIR POLLUTION; ANALYTICAL SOLUTION; DYNAMIC FUNCTION STUDIES; EVAPORATION; MATHEMATICAL MODELS; NUCLEATION; PARTICLE SIZE; STOCHASTIC PROCESSES; VAPOR CONDENSATION
- Descriptors DEC
- COLLOIDS; DISPERSIONS; PHASE TRANSFORMATIONS; POLLUTION; SIZE; SOLS
Optional Information
- Copyright
- Copyright (c) 2002 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.