In this study, we would like to predict and analyze contributions of carbon dioxide emissions from urban traffic mass through the two type resolution CALPUFF modeling (1 km x 1 km and 0.1 km x 0.1 km), focusing on the potentials of the carbon dioxide that can accelerate health risks and urban heat contaminations. After modeling and analyzing, we got the results that follow like these; even if same emissions enter into the modeling, differences cannot occur between concentrations of high traffic volume sites and low traffic volume sites in the 1 km x 1 km resolution modeling case, but we can see differences cannot occur between concentrations of high traffic volume sites and low traffic volume sites in the 0.1 km x 0.1 km resolution modeling case. To put it concretely, we got the over 700 ppm CO₂ data in high traffic volume sites and about 400 ppm CO₂ data in low traffic volume sites by modeling and sensor monitoring. So, micro area modeling may be essential to calculate more accurate modeling data. Moreover, when we applying to the indoor ventilation estimating, we assumed the outside CO₂ concentration as 300 - 400 ppm, but we got the over 700 ppm CO₂ data in this study. Therefore, in the estimating of ventilation, we have to use the monitored or modeled CO₂ data in the road side sites.

Keywords: Atmospheric Dispersion Model; Climate change; Carbon Dioxide Concentration; Calpuff; Micro Space;