A Modelling Approach for Quantification of SO2 Emission from a Typical Coastal Region with Fumigation Effects


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Volume :

10

Issue :

1

Abstract :

Atmospheric dispersion simulations were performed using the Gaussian Plume analytical dispersion model (GPM) for quantification of air concentration of gaseous releases from a typical Coastal region having thermal power plants, refineries, chemical industries in a coastal atmospheric environment. A computer program is generated based on the model equations, giving the various atmospheric conditions and stability classifications. The concentration of an air pollutant such as a gaseous release at a given place is a function of a number of variables, including the amount of the pollutant released at the source (the emission rate), the distance of the receptor from the source, and the atmospheric conditions. The most important atmospheric conditions are wind speed, wind direction, and the vertical temperature characteristics of the local atmosphere. In coastal regions, the temperature structure and wind flow are also influenced by the local sea-land breeze circulations and the ensuing coastal fumigation phenomena. The model estimates of air concentrations would also depend on the empirical dispersion relationships. The study area selected is Manali in North Chennai which is a growing industrial and urban area. In the present study the GPM model is adopted to estimate ambient ground level air concentrations of few pollutants SO2 (Sulphur dioxide) from industrial sources in the North Chennai Manali area to understand the local air quality pattern. The GPM equation is modified for coastal fumigation effects to study its impact and to obtain realistic GLC estimates. The simulation results were verified by comparison with available observations. Further, it has been found that the simulated concentrations during sea breeze time are slightly more than those in non-sea breeze time due to fumigation effect. The model slightly overestimated concentrations during the sea breeze time than the observations.Atmospheric dispersion simulations were performed using the Gaussian Plume analytical dispersion model (GPM) for quantification of air concentration of gaseous releases from a typical Coastal region having thermal power plants, refineries, chemical industries in a coastal atmospheric environment. A computer program is generated based on the model equations, giving the various atmospheric conditions and stability classifications. The concentration of an air pollutant such as a gaseous release at a given place is a function of a number of variables, including the amount of the pollutant released at the source (the emission rate), the distance of the receptor from the source, and the atmospheric conditions. The most important atmospheric conditions are wind speed, wind direction, and the vertical temperature characteristics of the local atmosphere. In coastal regions, the temperature structure and wind flow are also influenced by the local sea-land breeze circulations and the ensuing coastal fumigation phenomena. The model estimates of air concentrations would also depend on the empirical dispersion relationships. The study area selected is Manali in North Chennai which is a growing industrial and urban area. In the present study the GPM model is adopted to estimate ambient ground level air concentrations of few pollutants SO2 (Sulphur dioxide) from industrial sources in the North Chennai Manali area to understand the local air quality pattern. The GPM equation is modified for coastal fumigation effects to study its impact and to obtain realistic GLC estimates. The simulation results were verified by comparison with available observations. Further, it has been found that the simulated concentrations during sea breeze time are slightly more than those in non-sea breeze time due to fumigation effect. The model slightly overestimated concentrations during the sea breeze time than the observations.

Keyword :

Air quality monitoring, Atmospheric Dispersion modelling, Model Performance evaluation, Meteorological data, Observed concentration, Predicted concentration
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