Abstract
The study is conducted in order to assess the contribution of pollutants from the Diesel generators running in the Jamia Millia Islamia University Campus. In this work, ISCST3 air dispersion model was applied to simulate the air quality for 24 hourly average ground level concentrations of SOx, NOx, PM10 and 8 hourly average for CO at various receptor locations. Based on surveys and questionnaires, an inventory was formulated for different Gensets and their characteristics. The ISCST3 model is based on a steady-state Gaussian plume algorithm. It has been developed by USEPA for assessing air quality impact from point, area, and volume sources. Emission rates for different pollutants have been computed using empirical formulas for Gensets based on their capacity. Pollutant emitting potential has also been computed. The predicted values given by ISCST3 model are 11.33μg/m3 for PM10, 58.4 μg/m3 for SOx, 176.50 μg/m3 for NOx, 57.02 μg/m3 for CO. Both monitored and simulated values have been compared with NAAQS 2009. A possible solution for minimizing the pollutant load in the area via Diesel Gensets has been suggested in this research which will further help in managing the air quality scenario at the study area.
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