Atit Tippichai, Pongrid Klungboonkrong, Rudklao Pan-Aram, and Prungchan Wongwises

pp. 1285 - 1298

Abstract

Based on the US EPA air pollution model, CAL3QHC version 2.0 was applied to predict carbon
monoxide (CO) concentrations from road traffic at three signalized intersections in Khon Kaen province.
Four data groups required by the model, namely site parameters, traffic parameters, meteorological parameters and emission parameters were collected at each intersection and have been used as the inputs to the
model. The prediction results were compared to the measurement. The results showed that the predicted
CO concentration variations corresponding mostly to the measurement except at some hours when there was
not good agreement due to an extreme upwind location of receptor, low wind speed, raining period, other
out-sources of CO concentration such as another near intersection and parking lot. However, this study shows that the CAL3QHC model can be applied to predict CO concentration in the environmental condition
of Thailand quite well. Moreover, the model might be used as a tool for assessing traffic air pollution at
roadway intersection as well as for air quality management.