4.7 Article

Fine particles (PM2.5) at a CAWNET background site in Central China: Chemical compositions, seasonal variations and regional pollution events

Journal

ATMOSPHERIC ENVIRONMENT
Volume 86, Issue -, Pages 193-202

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.atmosenv.2013.12.008

Keywords

PM2.5; Background; Long-range atmospheric transport; Back trajectory; Potential source contribution function (PSCF); Pollution events

Funding

  1. Natural Science Foundation of China (NSFC) [41103061]
  2. Doctoral Fund Project of the Ministry of Education of China [20110141120015]
  3. National 973 programme [2011CB707106]

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Fine particle (PM2.5) samples were collected at Jinsha (JSH), a regional background China Atmosphere Watch Network (CAWNET) site in Central China from March 2012 to March 2013. The mass concentrations of water-soluble inorganic ions (WSIIs), organic carbon (OC) and elemental carbon (EC) in PM2.5 were measured. The average PM2.5 mass concentration was 48.7 +/- 26.9 mu g m(-3), exceeding the Chinese National Ambient Air Quality Standards (NAAQS) (35 mu g m(-3)), implying that PM2.5 is a pollutant of regional concern in Central China. The average concentrations of total WSIls, OC and EC were 26.1 +/- 18.8, 7.5 +/- 3.5 and 0.7 +/- 0.5 mu g m(-3), accounting for 53.5%, 15.1% and 1.5% of the PM2.5 concentrations at JSH, respectively. Clear seasonal variations in PM2.5 and the levels of its main chemical species were observed in the following order: winter > autumn > spring > summer. Backward air trajectory analysis and potential source contribution function (PSCF) analysis implied that the areas north and northeast of JSH contributed significantly to the levels of SO42-, NO3-, NH4+ and OC, while sandstorms originating from Mongolia and traveling across Northwest China may have contributed significantly to the levels of Na+, Ca2+, and Mg2+ in PM2.5 at JSH. Two pollution events, related to regional biomass burning and haze, respectively, were recorded at JSH during the sampling campaign. (C) 2013 Elsevier Ltd. All rights reserved.

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