Ambient Air Quality Monitoring And Prediction of Air Pollutants Using ISCST3 And CALINE4 Dispersion Models For Vehicular Emissions At Bareilly, Uttar Pradesh, India

Ambient air quality monitoring (AAQM) of RSPM, SPM, SO2 and NOx from January to December were carried out at Indian Veterinary Research Institute (I.V.R.I), Izatnagar and Petrol Pump, Civil lines, Bareilly, India over a period of 5 years from 2013 to 2017. The maximum 2W count was varying from 1200– 1800 VPH (Vehicles per Hour) at IVRI institute and 1600–2400 VPH at Petrol Pump during the peak traffic hours i.e., 08:00-11:00 h and 18:00-20:00 h during all the months from January to December. Emission factors were found to be maximum during early morning and late night when vehicular density was minimum and found to be minimum during maximum traffic hours. RSPM and SPM concentrations were varying from 150–350 and 250–450 μg/m 3 , respectively, in all the seasons, which was exceeding the National ambient air quality standard (NAAQS) of 100 and 300 μg/m 3 , respectively. However, SO2 and NOx concentrations were ranging from 5–17 and 15–35 μg/m 3 , respectively, found to be within the NAAQS of 80 μg/m 3 . ISCST3 model predictions were found to be good agreement with observed NOx and SO2 concentrations and model was underpredicting RSPM and SPM concentrations. CALINE4 model was overpredicting NOx concentration and underpredicting SPM concentrations. However, CALINE4 model predictions were found to be satisfactory with observed SPM concentrations.