• DocumentCode
    1995297
  • Title

    Temporal-spatial variations of tropospheric SO2 over China using SCIAMACHY satellite observations

  • Author

    Xu, Xiaohua ; Jiang, Hong ; Wang, Yueqi ; Zhang, Xiuying

  • Author_Institution
    Int. Inst. for Earth Syst. Sci., Nanjing Univ., Nanjing, China
  • fYear
    2010
  • fDate
    18-20 June 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The data products of monthly average troposphric SO2 vertical column densities over China from January 2004 to November 2009 are acquired from the SCIAMACHY instrument on board ENVISAT. The results of monthly average tropospheric SO2 vertical column densities were analyzed to research the temporal-spatial distribution and change trends of tropospheric SO2 over China. In this paper, we selected four typical SO2 high concentration regions and described the spatial distribution, interannual change and seasonal variation, and the changes before and after the Beijing Olympic Games in these four regions. Additional, we analyzed the possible reasons for those change trends. The results showed that human activities play a key role in the distribution and variation of tropospheric SO2. The North China region is provided with the highest concentration of SO2 mainly because it´s the major area of coal producing and consuming. Tropospheric SO2 concentration declined in North China in 2008 while it dropped in South China since 2007. The seasonal variation of the SO2 column densities exhibits a structure with peak in winter and spring on account of central heating and lowest in summer in North China, yet it appears oppositely in the Pearl River Delta area. And the temporal-spatial change trends are remarkably affected by sulfur control policies. We found that the tropospheric SO2 column densities decreased strongly during and after the Beijing Olympic Games opened in August 2008. The tropospheric SO2 column densities in August 2008 dropped by 50% compared to SO2 concentration in August 2007. Furthermore our study finally confirms that remote sensing has a high application value in measuring trace gases and monitoring air pollution on a larger scale compared to traditional methods.
  • Keywords
    air pollution; atmospheric composition; sulphur compounds; AD 2004 01 to 2009 11; AD 2008 08; Beijing Olympic Games period; ENVISAT; North China region; Pearl River Delta area; SCIAMACHY satellite observations; SO2; South China; air pollution; remote sensing; spatial distribution; temporal-spatial variations; tropospheric SO2; Aerosols; Atmospheric measurements; Cities and towns; Games; Pollution measurement; Region 1; Region 3; SCIAMACHY; SO2 high concentration regions; SO2 vertical column densities; Seasonal; Temporal-spatial variations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics, 2010 18th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-7301-4
  • Type

    conf

  • DOI
    10.1109/GEOINFORMATICS.2010.5567684
  • Filename
    5567684