Semi-analytical model for pollution dispersion in the planetary boundary layer

In this paper a time dependent semi-analytical model is discussed which overcomes the limits of the existing analytical ones. This model is compared both with the results of a numerical model and with experimental data in air quality applications. This approach is based on the Laplace transform tech...

Full description

Saved in:
Bibliographic Details
Published inAtmospheric environment (1994) Vol. 39; no. 14; pp. 2673 - 2681
Main Authors Moreira, D.M., Rizza, U., Vilhena, M.T., Goulart, A.
Format Journal Article
LanguageEnglish
Published Oxford Elsevier Ltd 01.05.2005
Elsevier Science
Subjects
Air-pollution modelling
Analytical and numerical techniques
Applied sciences
Atmospheric pollution
Atmospheric turbulence
Exact sciences and technology
Planetary boundary layer
Pollutants physicochemistry study: properties, effects, reactions, transport and distribution
Pollution
Transport and diffusion
Transport and diffusion
Analytical and numerical techniques
Atmospheric turbulence
Air-pollution modelling
Planetary boundary layer
Pollutant behavior
Troposphere
Wind velocity
Advection diffusion equation
Parameterization
Transport process
Atmospheric boundary layer
Analytical method
Air pollution
Numerical simulation
Atmospheric dispersion
Performance
Online AccessGet full text

Cover

More Information
Summary:In this paper a time dependent semi-analytical model is discussed which overcomes the limits of the existing analytical ones. This model is compared both with the results of a numerical model and with experimental data in air quality applications. This approach is based on the Laplace transform technique, and can include both advanced eddy diffusivity and wind profiles. The numerical algorithm utilizes a mixed cubic-spline/Crank–Nicholson method within the locally one-dimensional (LOD) technique. The two approaches produce comparable results when considering the most important quantity in air-pollution application, that is the ground-level concentration distribution. These results are quite good for the semi-analytical model as its computer code runs much faster than the computer code for the numerical model. This is promising because this computer-based technique may be used for quantitative and qualitative estimations of pollutant distribution.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:1352-2310
1873-2844
DOI:10.1016/j.atmosenv.2005.01.020