Sensitivity Analysis of CALINE4 and ISCST3 - Air Pollutant Dispersion Models

Abstract

The present paper is focused on the sensitivity analysis of California line source model 4 (CALINE4) and Industrial source complex short-term model 3 (ISCST3) by changing one input variable at a time while keeping other variables as constant to identify the effect of each input variable on predicted PM₁₀ and NOx concentrations. State Highway (SH-17) length of 3.3 km passing through the industrial area of Mysuru with six receptor points has been considered in the present study. The sensitivity analysis of CALINE4 and ISCST3 model showed pollutant concentrations were more influenced by meteorological factors such as wind speed, wind direction, atmospheric stability conditions; source strength such as traffic volume, emission factors (WEF) and pollutants emission rates. However, it was also found that pollutant concentrations were less influenced by mixing height, road width, and surface roughness coefficient.