Gas Dispersion Modeling from the Chimney Power Plant Pasquil-Gaussian Model

Abstract

Modern gaussian dispersion gas model such as AERMOD, CULPUFF and other are available and accepted as standard model. However, such models still difficult to implement in Indonesia where profile meteorological only available in some limited areas. In this study we propose simple gaussian model based on Pasquil stability that required simple meteorological data. Classical Pasquil-Gaussian dispersion gas model can be used as a first approach before using standard model. This model only need surface meteorological data. It does not require profile meteorological data, which is only available in certain part of Indonesia. This paper describes construction of Gaussian Plume model based on Pasquil stability principle. The model is designed to simulate gas dispersion such as SO2 emmited by stack. Both receptor and stack were setup in the geographical cartesian grid. Terreain was assumed to be flat. Hourly surface meteorological data such as wind velocity and direction, temperature and atmospheric stability is setup as an input. The results of annual and highest averaged (1, 3, 8 and 24 hours) then displayed in contour and compared with the standard AERMOD model.