Emission load distribution and prediction of NO2 and PM10 using ISCST3 and CALINE4 line source modeling

Abstract

Mysore district is one of the tourist destinations in Karnataka, India, with a population of about 10.25 lakhs. In all category of vehicles, 2-wheelers (2W) constitute more than 50 %. Vehicular count studies showed a maximum number of vehicles during peak traffic hours (7:00-11:00 hrs. and 18:00-22:00 hrs.). The maximum traffic count was observed for 2W (51-56%) followed by 4W (19-28%), LDV (light-duty vehicle), HDV (heavy-duty vehicle) and 3W. However, the percentage contribution of NO 2 and PM 10 emission factor showed, a maximum of HDV (75-89%) followed by LDV, 2W, 3W, and 4W. Emission loads for CO and NO 2 pollutants were found to be high at link 1, 2, 5, 6, 12 and 13 due to heavy traffic densities. However, emission loads for PM 10 , PM 2.5, and SO 2 were notices to be very less in all the links. During winter season Industrial source complex short-term model 3 (ISCST3) and California line source model 4 (CALINE4) predicted NO 2 concentrations were found to be ranging from 9–25 μg/m 3 and 10–40 μg/m 3 , respectively. However, PM 10 concentrations were found to be 18–43 μg/m 3 . The maximum concentration was found near to Receptors (R1-3), which may be due to maximum vehicular density and downwind to the pollution sources. NO 2 and PM 10 predictions made by ISCST3 and CALINE4 model showed a significant variation. It was also observed that CALINE4 model was not applicable to predict pollutant with lower concentrations.