FORECASTING OF SULFUR DIOXIDE CONCENTRATIONS IN THE VICINITY OF A THERMAL POWER PROJECT USING ISCST3S. Anand Kumar Varma and K.R. Manjula
Pollution is the major problem near Thermal power plants which is a serious problem and needed to be addressed. This can be done by studying the behavior of the pollutants, their evolution and the reasons for their propagation. One such pollutant is sulfurdioxide (SO2). The present study is about the prediction of the concentration of SO2 in and around the areas of the Rayalseema Thermal Power Project which is a coal fired thermal power project located in Andhra Pradesh, India. A dispersion modeling technique ISCST3 (Industrial Source Complex Short-Term version-3) is used for this prediction. The land area in the vicinity of the RTPP with a radius of approximately 10,000 meters is considered as the study area for the duration of one year. 3-dimensional view and Isopleths of the concentration of SO2 are modeled using Golden software surfer version 8 and ISCST3. A comparative study is done using the measurements from Ambient Air Quality Monitoring Stations (AAQMS). The coefficients of determination (R2) range between 0.98 and 0.99 in the course of the study.
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