Receptor modeling for analyzing PCDD/F and dioxin-like PCB sources in Hong Kong

Xiao Ling PENG, Maggie Pik Kwan CHOI, Ming Hung WONG

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7 Citations (Scopus)


A total of 96 ambient air samples were collected from January 2004 to December 2004 for the investigation of dioxins (polychlorinated dibenzo-para-dioxins and polychlorinated dibenzofurans [PCDD/Fs]) and dioxin-like profile for polychlorinated biphenyls (PCBs) in the atmosphere of Hong Kong. Two-day back-trajectories were obtained using the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model from National Oceanic and Atmospheric Administration (NOAA) Air Resources Laboratory. Receptor models - potential source contribution function (PSCF) and concentration- weighted trajectory (CWT) - were built based on the measured PCDD/Fs and dioxin-like PCBs total toxic equivalent (TEQ) concentrations. Both models were modified in this study so as to integrate the information obtained from three sampling sites in Hong Kong. The PSCF modeling resolved two main PCDD/F and dioxin-like PCB polluting paths from Mainland China. In line with previous studies, the northerly path around the Pearl River Delta might be one of the pollution sources of Hong Kong air. On the other hand, the receptor models also indicated another potential northeasterly source from Yangtze River Delta, which was seldom mentioned as the source region of Hong Kong air. Results from the CWT modeling suggested that the most toxic air mass affecting Hong Kong is probably attributable to the northeast path rather than the north path. Copyright © 2007 Springer Science+Business Media B.V.

Original languageEnglish
Pages (from-to)229-237
JournalEnvironmental Modeling and Assessment
Issue number3
Publication statusPublished - Aug 2007


Peng, X. L., Choi, M. P. K., & Wong, M. H. (2007). Receptor modeling for analyzing PCDD/F and dioxin-like PCB sources in Hong Kong. Environmental Modeling & Assessment, 12(3), 229-237. doi: 10.1007/s10666-006-9070-6


  • Back-trajectory
  • Dioxin-like PCBs
  • PCDD/Fs
  • Receptor modeling


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