Abstract
Abstract 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.
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