• DocumentCode
    144048
  • Title

    Aerosol remote sensing for Hazy atmosphere

  • Author

    Mukai, Sonoyo ; Yasumoto, Masayoshi ; Nakata, Makiko ; Sano, Itaru

  • Author_Institution
    Kyoto Coll. of Grad. Studies for Inf., Kyoto, Japan
  • fYear
    2014
  • fDate
    13-18 July 2014
  • Firstpage
    4165
  • Lastpage
    4168
  • Abstract
    Air pollution in East Asia has become severe in recent years, with heavy air pollutants and Asian dust being transported from China to neighboring countries throughout the year. In this study, we focus on heavy haze event occurring around Beijing in June, when a serious aerosol episode was detected by both satellite and ground measurements. Retrieval of atmospheric aerosol characteristics from satellite is achieved by radiative transfer simulation in the Earth atmosphere model. The aerosol model is compiled from the worldwide aerosol monitoring network (NASA/AERONET). It is shown here that the radiative transfer problem in the case of aerosol episode is solved by a method of successive order of scattering. In addition we conclude that air pollution around Beijing in June is mainly due to increasing emissions of the anthropogenic aerosols, furthermore carbonaceous aerosols from agriculture biomass burning in Southeast Asia also contribute to the pollution.
  • Keywords
    aerosols; air pollution; dust; radiative transfer; remote sensing; Asian dust; Beijing; China; East Asia; NASA-AERONET; aerosol episode; aerosol remote sensing; agriculture biomass; air pollution; anthropogenic aerosols; atmospheric aerosol characteristics; ground measurements; hazy atmosphere; heavy haze event; radiative transfer problem; radiative transfer simulation; satellite measurements; worldwide aerosol monitoring network; Aerosols; Atmospheric measurements; Atmospheric modeling; Biomedical optical imaging; MODIS; Optical sensors; Pollution measurement; Aerosol model; MODIS; successive order of scattering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
  • Conference_Location
    Quebec City, QC
  • Type

    conf

  • DOI
    10.1109/IGARSS.2014.6947405
  • Filename
    6947405