• DocumentCode
    2465753
  • Title

    Temporal-spatial distribution of SO2 and NO2 in Yangtze River Delta, China from 2005 to 2010

  • Author

    Jing, Xuehan ; Jiang, Jie

  • Author_Institution
    Coll. of Geogr. & Biol. Inf., Nanjing Univ. of Posts & Telecommun., Nanjing, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    5457
  • Lastpage
    5460
  • Abstract
    Information on monthly and yearly SO2 and NO2 vertical column density means over the Yangtze River Delta from January 2005 to November 2010 was reported based the remote sensing data from the OMI sensor. In conclusion, from spatial perspective, the yearly SO2 average mean is high along the Nanjing-Shanghai railway line. And the further it is from the railway line, the less average mean is. The distribution surrounding the cities likens an island. The spatial distribution of NO2 shares the similar characteristic. From the temporal perspective, the yearly average means of SO2 are of a decreasing tendency, which reveals that the 11th Five-Year Plan do control the emission of SO2. In terms of the monthly average mean of SO2 each year, it always drops from the high level in January and then rebounces to the original high level before the following year. However, there is a increment of yearly average means of NO2, excluding Shanghai. Coming to monthly average mean of NO2, it fluctuates regularly with a good periodicity. To sum up, we can conclude the 11th Five-Year Plan have the influence on the emission of SO2 and NO2.
  • Keywords
    air pollution control; nitrogen compounds; statistical distributions; sulphur compounds; China; NO2; Nanjing-Shanghai railway line; OMI sensor; SO2; Yangtze river delta; emission control; nitrogen dioxide; remote sensing data; sulphur dioxide; temporal spatial distribution; Cities and towns; Instruments; Monitoring; NASA; Rail transportation; Rivers; Satellites; 11th Five-Year Plan; NO2 and SO2; OMI; Yangtze River Delta; temporal and spatial distribution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-9172-8
  • Type

    conf

  • DOI
    10.1109/RSETE.2011.5965580
  • Filename
    5965580