Spatial Variability of Ambient Nitrogen Dioxide and Sulfur Dioxide in Sarnia, Chemical Valley, Ontario, Canada

This study aimed at developing models to predict nitrogen dioxide (NO2) and sulfur dioxide (SO2) concentrations in Sarnia, Chemical Valley, Ontario, Canada, and model the intra-urban variation of ambient NO2 and SO2 in the city for a community health study. NO2 and SO2 samples were monitored with Ogawa passive samplers at 39 locations across the city for 2 wk during the fall of 2005. The final land use regression models were constructed to generate independent variables that might best predict NO2 and SO2 concentrations. The coefficients of determinations for the final NO2 and SO2 models were .79 and .66, respectively. The explanatory variables in the final NO2 model were: proximity to the industrial core, industrial areas within 1600 m, highways within 400 m, and dwelling counts within 2400 m. The variables in the final SO2 model were: proximity to the industrial core, industrial areas within 1200 m, and major roads within 100 m. The spatial variations captured in these analyses are being used to estimate ambient pollution concentrations for a large health study.