4.2 Article

Evolutionary processes and sources of high-nitrate haze episodes over Beijing, Spring

Journal

JOURNAL OF ENVIRONMENTAL SCIENCES
Volume 54, Issue -, Pages 142-151

Publisher

SCIENCE PRESS
DOI: 10.1016/j.jes.2016.04.024

Keywords

Haze; Nitrate; Sources; Lidar; Aerosol Chemical Speciation Monitor; Boundary layer

Funding

  1. National Natural Science Foundation of China [41305115]
  2. National Key Project of Basic Research [2014CB447900]
  3. Commonweal Project in Ministry of Environmental Protection [201409001, 201309011]
  4. Hi-Tech Research and Development Program (863) of China [2014AA06AA06A512]

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Rare and consecutive high-nitrate haze pollution episodes were observed in Beijing in spring 2012. We present detailed characterization of the sources and evolutionary mechanisms of this haze pollution, and focus on an episode that occurred between 15 and 26 April. Submicron aerosol species were found to be substantially elevated during haze episodes, and nitrates showed the largest increase and occupation (average: 32.2%) in non-refractory submicron particles (NR-PM1), which did not occur in other seasons as previously reported. The haze episode (HE) was divided into three sub-episodes, HEa, HEb, and HEc. During HEa and HEc, a shallow boundary layer, stagnant meteorological conditions, and high humidity favored the formation of high-nitrate concentrations, which were mainly produced by three different processes daytime photochemical production, gas-particle partitioning, and nighttime heterogeneous reactions and the decline in visibility was mainly induced by NR-PM1 However, unlike HEa and HEc, during HEb, the contribution of high nitrates was partly from the transport of haze from the southeast of Beijing the transport pathway was observed at similar to 800-1000 m by aerosol Lidar- and the decline in visibility during HEb was primarily caused by PM2.5. Our results provide useful information for air quality improvement strategies in Beijing during Spring. (C) 2016 The Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences. Published by Elsevier B.V.

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