• DocumentCode
    2902115
  • Title

    An Observation Study of the Aerosol Distribution over Hebei Area through Aircraft Detection

  • Author

    Wei, Deng ; Yan, Yin ; Lin-Xin, Shi ; Ying, Duan

  • Author_Institution
    Key Lab. of Meteorol. Disaster of Jiangsu Province, Nanjing Univ. of Inf. Sci. & Technol., Nanjing, China
  • Volume
    3
  • fYear
    2009
  • fDate
    4-5 July 2009
  • Firstpage
    236
  • Lastpage
    239
  • Abstract
    Measurements of aerosol and cloud condensation (CCN) concentration at 0.3% supersaturation were made onboard by weather modification office over the Hebei area during May 2005 to October 2008. The vertical distributions of aerosol particles and CCN were analyzed in different underlying surface. There are three cities, Shijiazhuang, Handan, Xingtai and Bohaiwan (the bay of Bohai). The vertical distributions of aerosol and CCN were fit to exponential distribution in May and September, but not fit in October for the haze pollution. Whether the CCN formed from aerosol is determined by aerosol average diameter in the land while the CCN concentration over the sea was determined by the aerosol concentration.
  • Keywords
    aerosols; air pollution; aircraft; atmospheric composition; clouds; exponential distribution; AD 2005 05 to 2008 10; Bohaiwan; Handan; Hebei Area; Shijiazhuang; Xingtai; aerosol average diameter; aerosol concentration; aerosol measurement; aerosol particles distributions; aircraft detection; cloud condensation concentration measurement; exponential distribution; haze pollution; northeastern China; supersaturation; weather modification office; Aerosols; Aircraft; Area measurement; Cities and towns; Clouds; Pollution measurement; Sea measurements; Sea surface; Surface contamination; Surface fitting; CCN; aerosol; aircraft detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Environmental Science and Information Application Technology, 2009. ESIAT 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3682-8
  • Type

    conf

  • DOI
    10.1109/ESIAT.2009.259
  • Filename
    5199678