Some Algorithms For Simulating Size-resolved Aerosol Dynamics Models
Abstract
The objective of this presentation is to show some algorithms used to solve aerosol dynamics in 3D dispersion models.
INTRODUCTION The gas phase pollution has been widely studied and some models are now available . The situation is quite different with respect to atmospheric aerosols . However at- mospheric particulate matter significantly influences atmospheric properties such as radiative balance, cloud formation, gas pollutants concentrations ( gas to particle con- version ), and has an impact on man health. As aerosols properties ( optical, hygroscopic, noxiousness ) depend mainly on their size, it appears important to be able to follow the aerosol ( or particle ) size distribution (PSD) during time. This former is modified by physical processes as coagulation, condensation or evaporation, nucleation and removal. Aerosol dynamics is usually modelized by the well-known General Dynamics Equation (GDE) [1]. MODELS Several models already exist to solve this equation. Multi-modal models are widely used [2] [3] because of the few parameters needed, but the GDE is solved only on its moments and the PSD is assumed to remain in a log-normal form. On the contrary, size-resolved models implies a discretization of the aerosol size spec- trum into several bins and to solve the GDE within each one. This step can be per- formed either by resolving each process separately ( splitting ), for example coagula- tion can be resolved by the well-known "size-binning" algorithms [4] and condensa- tion leads to an advection equation on the PSD [5], or by coupling all processes, what the finite elements [6] and stochastic methods [7] allows. Stochastic algorithms may not be competitive compared to deterministic ones with respect to the computation time, but they provide reference solutions useful to validate more operational codes on realistic cases, as analytic solutions of the GDE exist only for academic cases. REFERENCES [1] Seinfeld, J.H. and Pandis,S.N. Atmospheric chemistry and Physics, Wiley- 1 interscience, 1998 [2] Binkowski,F.S. and Shankar,U. The regional particulate matter model : Model de- scription and preliminary results Journal of geophysical research, 1995 [3] Whitby,E.R. and McMurry,P.H. Modal Aerosol Dynamics Modeling Aerosol Sci- ence and Technology, 1997 [4] Jacobson,M.Z. and Turco,R.P. and Jensen,E.J. and Toon,O.B. Modeling coagu- lation among particles of different composition and size Atmospheric Environment, 1994, [5] Dhaniyala,S. and Wexler,A.S., Numerical schemes to model condensation and evaporation of aerosols, Atmospheric environment,1995, [6] Sandu, A. A Spectral Method for Solving Aerosol Dynamics Submitted to Applied Numerical Mathematics, August 2001 [7] Debry, E. and Jourdain, B. and Sportisse, B. Modelling aerosol dynamics : a stochastic algorithm article in preparation, 2001- Publication:
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EGS General Assembly Conference Abstracts
- Pub Date:
- 2002
- Bibcode:
- 2002EGSGA..27.6308D