Land-Use Regression Modeling to Estimate NO2 and VOC Concentrations in Pohang City, South Korea

Land-use regression (LUR) has emerged as a promising technique for air pollution modeling to obtain the spatial distribution of pollutants epidemiological studies. LUR uses traffic, geographic, and monitoring data develop models then predict concentration in same area. To identify nitrogen dioxide (NO2), benzene, toluene, m-p-xylene, we developed Pohang City, one largest industrialized areas Korea. Passive samplings were conducted during two 2-week integrated sampling periods September 2010 March 2011, at 50 locations. For model development, predictor variables calculated based on land use, road lengths, point sources, satellite remote sensing, population density. The averaged mean concentrations NO2, m-p-xylene 28.4 µg/m3, 2.40 15.36 0.21 respectively. In terms model-based R2 values, NO2 included four independent variables, showing = 0.65. While benzene showed values (0.43), toluene lower value (0.35). We estimated long-term VOCs 167,057 addresses Pohang. Our study could hold particular promise an setting having significant health effects associated with small area variations encourage extended using Asia.