Effects of day-of-week trends and vehicle types on PM2.5-bounded carbonaceous compositions
Share this post on: Twitter Facebook
Carbonaceous compositions of PM2.5 were measured in the heart of Bangkok from 17th November 2010 to 19th January 2012, and a data set of 94 samples was constructed. Effects of day-of-week trends and vehicle types on PM2.5-bound TC, OC, and EC were carefully investigated. In this study, OC was the most important contributor to the total PM2.5 mass concentration. The average PM2.5-bound OC content measured at CHAOS (18.8 ± 9.18 μg m− 3) was approximately 11 times higher than at Chaumont, Switzerland (1.7 μg m− 3), but approximate- ly five times lower than at Xi’an, China (93.0 μg m− 3). The application of diagnostic binary ratios of OC/EC and estimations of secondary organic carbon (SOC) coupled with autocorrelation plots (Box and Jenkins) highlight the enhanced impacts of traffic emissions, especially from diesel vehicles, on PM2.5-bound carbonaceous compo- sitions on weekdays relative to weekends. Hierarchical cluster analysis (HCA) coupled with principal component analysis (PCA) underline the importance of diesel emissions as the primary contributors of carbonaceous aero- sols, particularly during weekdays.
© 2015 Elsevier B.V. All rights reserved.
Appear in Science of the Total Environment by Elsevier
Authors: Siwatt Pongpiachan, Charnwit Kositanont, Jittree Palakun, Suixin Liu b, Kin Fai Ho, Junji Cao
Citation: S. Pongpiachan, et al. Effects of day-of-week trends and vehicle types on PM2.5-bounded carbonaceous compositions. Science of the Total Environment 532 (2015) 484–494. Elsevier Ltd.