Vehicular dispersion models, particularly highway dispersion models are used worldwide, including India, for assessment and management of air quality along the major roads/highways. However, dispersion of vehicular pollutants is influenced by variousfactors such as traffic, receptors and land use along with meteorological factors. In the present study, CALINE4, a Gaussian-based vehicular pollution dispersion model has been used in Delhi, along Ring Road Corridor near Indraprastha Park. Sensitivity analysis of CALINE4 model has been carried out for identification and quantification of meteorological parameters, viz. wind speed, wind direction, mixing height and P-G stability class influencing the model's output. These input parameters in the model were systematically varied for assessing their influence on model's output, i.e. predicted concentrations. The study revealed that wind speed and wind directions have significant impact on dispersion of vehicular pollutants as compared to mixing height and stability class.
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