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Journal of University of Chinese Academy of Sciences ›› 2014, Vol. 31 ›› Issue (3): 345-350.DOI: 10.7523/j.issn.2095-6134.2014.03.008

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Seasonal variation characteristics of atmospheric aerosol scattering coefficients in Shanghai

XU Wei1, XIU Guangli1, TAO Jun2, ZHU Mengya1, CAI Jing1, WANG Lina1, ZHANG Renjian3   

  1. 1. State Environmental Protection Key Laboratory of Risk Assessment and Control on Chemical Processes, East China University of Science and Technology, Shanghai 200237, China;
    2. Ministry of South China Environmental Science Research Institute, Guangzhou 510653, China;
    3. Key Laboratory of Regional Climate-Environment for Temperate East Asia(RCE-TEA), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
  • Received:2013-05-31 Revised:2013-11-06 Online:2014-05-15

Abstract:

We used a nephelometer to monitor scattering coefficients on the top of a laboratory building in East China University of Science and Engineering from April to December in 2009. PM2.5 was simultaneously sampled every day to obtain its mass concentrations and its chemical components. We studied characteristics of diurnal variation in scattering coefficients in different seasons, correlations between scattering coefficient and PM2.5, and power correlation between visibility and chemical components of PM2.5. Results indicated that scattering coefficients were higher in autumn and winter and lower in summer. The diurnal variation of scattering coefficient indicated two peaks observed at 6:00 and 18:00,respectively. The peak value was higher in autumn and winter but the diurnal variation changed little in summer. The seasonal comparison indicated that scattering coefficients had strong linear correlations with PM2.5 in all the seasons. It was found that visibility had power function correlations with secondary ions in spring, with EC in summer, and with both organic components and secondary ions in fall. Due to the complexity of components, sources, and formation mechanisms, no obvious correlations between visibility and components were found for winter.

Key words: scattering coefficients, visibility, PM2.5

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