Mathematical Model to Predict the Plume Behavior under Abnormal Conditions in Indian Context

Abstract

Global need to control the nuisance from pollution has forced the development of analytical tools to predict GLC (Ground Level Concentration). There has been considerable progress in this direction, but none of the present-day analytical techniques, accurately represent meteorological conditions and nature of terrain etc.; hence the accuracy of predicted GLC varies. In simple cases, present-day analytical techniques yield acceptable results as confirmed from field observations. Atmospheric dispersion models are mathematical expressions which describe atmospheric processes in order to relate emission rate to atmospheric concentration of pollutants. In the present paper, Gaussian Plume Model (GPM) and its variations are used for ambient air quality predictions. This paper on dispersion modeling is an effort to streamline the modeling procedure in Indian context.