Effects of day-of-week trends and vehicle types on PM2.5-bounded carbonaceous compositions.

摘要: Abstract Carbonaceous compositions of PM 2.5 were measured in the heart Bangkok from 17th November 2010 to 19th January 2012, and a data set 94 samples was constructed. Effects day-of-week trends vehicle types on -bound TC, OC, EC carefully investigated. In this study, OC most important contributor total mass concentration. The average content at CHAOS (18.8 ± 9.18 μg m − 3 ) approximately 11 times higher than Chaumont, Switzerland (1.7 μg m ), but five lower Xi'an, China (93.0 μg m ). application diagnostic binary ratios OC/EC estimations secondary organic carbon (SOC) coupled with autocorrelation plots (Box Jenkins) highlight enhanced impacts traffic emissions, especially diesel vehicles, carbonaceous weekdays relative weekends. Hierarchical cluster analysis (HCA) principal component (PCA) underline importance emissions as primary contributors aerosols, particularly during weekdays.