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.