SENSITIVITY ANALYSIS OF GUASSIAN MODELS FOR AIR QUALITY MODELLING

Abstract

There has been a simultaneous growth in awareness of quality environment; in the ability to measure it's chemical constituents with greater accuracy and precision, and in the widespread use of mathematical models for estimating the transport and dispersion of air pollution during the last two decades. In resent year, special attention has been given to the problem resulting from large transport of air pollutant over a large regionallcontinental area. The proper diagnosis of air quality episode involving regional scale has been aided by Gaussian models approach because the Gaussian model has been found to be best suited for Indian conditions and has been recommended by Central Pollution Control Board for estimated the Ground Level Concentration (GLC), determining the maximum allowable emission rates, in order minimization their environmental impacts and assessing the responsibility for exiting air pollution levels; i.e., evaluating present source-receptor relationships. Present study considers the approach of Gaussian model and thereby studied the sensitivity of environment parameter such as stack diameter, stack height, emission velocity and exit temperature by using the various models of plume rise. Plume rise and the dispersion parameters depend on the physical parameter such as temperature gradient, emission velocity, wind velocity, stack height, exit temperature of stack's plume and the meteorological parameter. A novel approach of sensitivity analysis is developed for the study of effect of change of these physical parameters and effect of stability conditions on pollutant ground level concentration. ii