• DocumentCode
    494381
  • Title

    Observational Studies of Concentration Distributions of Atmospheric Fine Particles during Winter in the North Suburban Area of Nanjing

  • Author

    Chen, Chen ; Yin, Yan

  • Author_Institution
    Jiangsu Key Lab. of Meteorol. Disaster, Nanjing
  • Volume
    1
  • fYear
    2008
  • fDate
    21-22 Dec. 2008
  • Firstpage
    417
  • Lastpage
    420
  • Abstract
    Atmospheric fine particles and boundary layer meteorological elements were observed in December, 2007,at the north suburban of Nanjing. The physical characteristics of fine particles, including diurnal variation of number concentration, size distribution, and the relations with meteorological factors were analyzed. The results show that aerosol pollution is serious in this region; the deterioration of visibility has close correlation with fine particles. The concentration diurnal variation showed a two peak pattern; the accumulation mode particles dominate surface concentration distributions; and fine particles increase during hazy periods. It is also indicated that, the meteorological conditions play a critical role in formation of fog and haze; lower relative humidity, weaker temperature inversion, and higher mixed height in haze periods than that in fog periods, can be quite useful to haze forecasting.
  • Keywords
    aerosols; air pollution; meteorology; Nanjing; accumulation mode particles; aerosol pollution; atmospheric fine particles; boundary layer meteorological elements; concentration distributions; winter; Aerosols; Atmosphere; Atmospheric measurements; Chemical industry; Combustion; Meteorology; Particle measurements; Pollution measurement; Sampling methods; Spectroscopy; atmospheric fine particles; concentration distribution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Education Technology and Training, 2008. and 2008 International Workshop on Geoscience and Remote Sensing. ETT and GRS 2008. International Workshop on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3563-0
  • Type

    conf

  • DOI
    10.1109/ETTandGRS.2008.247
  • Filename
    5070185