Literature DB >> 27599057

Characterization, mixing state, and evolution of urban single particles in Xi'an (China) during wintertime haze days.

Yang Chen1, Junji Cao2, Rujin Huang3, Fumo Yang4, Qiyuan Wang5, Yichen Wang5.   

Abstract

A Single Particle Aerosol Mass Spectrometer (SPAMS) was deployed in the urban area of Xi'an to investigate size-resolved chemical composition and mixing state of single particles during the heavy haze episode occurred from January 13 to January 27 in 2013. Nine major single particle types were resolved with ART-2a algorithm including biomass burning (BB), Potassium-Secondary (KSec), elemental and organic Carbon (ECOC), sodium-potassium-rich ECOC (NaKECOC), sodium-potassium-rich-secondary (NaKSec), EC, OC, and Dust. Daily PM2.5 mass concentration was 213±122μgm-3. ~96% of the ambient particles were carbonaceous and internally mixed with secondary species such as sulfate and nitrate. The major particle types were from combustion sources, including coal burning, biomass burning, and vehicle exhaust. Mixing state analysis suggests gas-to-particle conversion was an important mechanism forming organic species during the winter haze episode. The relative abundances of the aged particle types, such as KSec and NaKSec increased with the elevated RH when RH<80%. The fraction of aged particles in terms of number concentration was prominent during high levels of PM2.5 under stagnant air conditions. This study gained new knowledge on atmospheric aerosol formation and evolution in urban environment heavy winter haze condition. Copyright Â
© 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Evolution; Haze; Mixing state; Single particle

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Year:  2016        PMID: 27599057     DOI: 10.1016/j.scitotenv.2016.08.151

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  1 in total

1.  Characterization of aerosol particles during the most polluted season (winter) in urban Chengdu (China) by single-particle analysis.

Authors:  Jinqi Luo; Xiaojuan Huang; Junke Zhang; Bin Luo; Wei Zhang; Hongyi Song
Journal:  Environ Sci Pollut Res Int       Date:  2019-04-27       Impact factor: 4.223

  1 in total

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