Considering Condensable Particulate Matter Emissions Improves the Accuracy of Air Quality Modeling for Environmental Impact Assessment

This study examines environmental impact assessment considering filterable particulate matter (FPM) and condensable (CPM) to improve the accuracy of air quality model. Air pollutants meteorological data were acquired from Korea’s national monitoring station near a residential development area in target district background site. Seasonal emissions PM2.5, including CPM, estimated using California puff (CALPUFF) model, based on inventory. These results compared with traditional results. For area, seasonal PM2.5 concentration was predicted by FPM CPM as well surrounding areas. In winter spring, standards not breached because only considered. However, when included analysis, exceeded standards. Furthermore, it that would be summer autumn, even is included. other words, conducting an pollution affects final decision. Therefore, concluded should include for greater CALPUFF model assessment.