Prediction of Air Pollutant Dispersion from Point and Line Sources and Validation of ISCST3 and CALINE4 Model Data with Observed Values in the Industrial Area of Mysuru

Ambient Air Quality (AAQ) has been monitored over a period of 8 months from November, 2016 to June, 2017, considering winter, summer and monsoon seasons at three identified locations along the highway passing through industrial area of Mysuru city, India. The number of 2W vehicles were found to be maximum (13620 nos./d) followed by 4W (4654 nos./d), HDV (2410 nos./d) and LDV (2024 nos./d). During weekdays the peak traffic volumes were observed at 08:00–10:00 hours and 17:00–20:00 hours. All the monitored pollutant concentrations were found to be well within National Ambient Air Quality Standard (NAAQS) in all the seasons, except during winter season PM10 and PM2.5 at receptor R1 were found to be exceeding the NAAQS. The comparison between observed values with Industrial source complex short term model 3 (ISCST3) and California line source model 4 (CALINE4) predictions showed ISCST3 model prediction found to be good agreement with observed NOx and SO2 concentration, however, CALINE4 model prediction was good agreement with observed PM10 concentration. It was also observed that, NOx and PM10 was contributing ~86% and ~68% from line sources and ~14% and ~32% from point sources, respectively, however, SO2 was contributing ~67% from point sources and ~33% from line sources. The statistical analysis of ISCST3 model was found to be within the acceptable values, indicating a good agreement with the observed pollutant concentrations.