Ambient Air Quality Monitoring and Prediction of NO2 Concentration using CALINE4 Model at Institutional and Commercial area of Mysuru City, India |
Author(s): |
Shobhan Majumder , SJCE College; Poornima M Bharadwaj, SJCE College |
Keywords: |
Ambient Air Quality; CALINE4; NO2; SO2; Vehicular Count |
Abstract |
Unprecedented growth of traffic volume has resulted in accelerated process of ambient air quality deterioration along major roadways. This paper is focused on determination of ambient air quality near a major traffic intersection and to determine the pollutant dispersion along major roadways of institutional and commercial study areas using CALINE4 Gaussian based dispersion model. Maximum traffic density was noticed near to the commercial area and peak traffic hours were noticed from 10:00 am to 11:00 am and during afternoon 04:00 pm to 05:00 pm. The NO2 and SO2 concentrations were found to be more in the commercial area than the institutional area. NO2 concentrations were more during winter season (14-23 µg/m3) than summer season (8-18 µg/m3). Statistical analysis revealed that, CALINE4 model prediction was poor in correlation with observed NO2 concentrations. However, based on statistical analysis model prediction was better during winter season than summer season. CALINE4 model showed a poor applicability for prediction of pollutants with less concentration. |
Other Details |
Paper ID: IJSRDV5I70088 Published in: Volume : 5, Issue : 7 Publication Date: 01/10/2017 Page(s): 122-126 |
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