Concentrations, profiles and gas-particle partitioning of polychlorinated dibenzo-p-dioxins and dibenzofurans in the ambient air of Beijing, China

Yingming Li, Guibin Jiang, Yawei Wang, Zongwei CAI, Qinghua Zhang*

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

100 Citations (Scopus)

Abstract

Polychlorinated dibenzo-p-dioxins (PCDDs) and furans (PCDFs) were monitored in the ambient air of Beijing, China, from February to December 2006 to evaluate their concentrations, congener profiles and gas-particle partitioning. The PCDD/F concentrations for three different districts ranged from 275 to 10,780 fg m-3, with an average of 4355 fg m-3. The I-TEQs were 18-644 fg I-TEQ m-3, with an average of 268 fg I-TEQ m-3, which was comparable or slightly higher than other urban locations around the world. Severe dust event occurred during the sampling period, on 17-19 April 2006. The levels of PCDD/Fs did not increase during the dust event (average 2489 fg m-3) compared to non-dust events (average 3671 fg m-3) although the total suspended particulates (1109 μg m-3) presented a 2.8-fold increase compared to non-dust events (392 μg m-3). The PCDD/Fs were found exclusively in the particle phase. Significant linear correlations for PCDD/Fs were observed (R2: 0.57-0.64) between the gas-particle partition coefficient (Kp) and the subcooled liquid vapor pressure (PL0). The Junge-Pankow model and the Koa absorption model were employed to predict the gas-particle partitioning of PCDD/F congeners. The Koa absorption model fitted well with the measurement results. However, the Junge-Pankow model slightly underestimated the particulate sorption of PCDD/Fs, which was contradicted with previous studies reported in the literature.

Original languageEnglish
Pages (from-to)2037-2047
Number of pages11
JournalAtmospheric Environment
Volume42
Issue number9
DOIs
Publication statusPublished - Mar 2008

Scopus Subject Areas

  • Environmental Science(all)
  • Atmospheric Science

User-Defined Keywords

  • Ambient air
  • Beijing
  • Dust event
  • Gas-particle partitioning
  • PCDD/Fs

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