• DocumentCode
    2497219
  • Title

    Air Pollutants and Its Transport Characteristics of Multi-Cities in Central Xinjiang, China

  • Author

    Li Xia ; Zhang Guang-Xing ; Xin Yu

  • Author_Institution
    Inst. of Desert Meteorol., China Meteorol. Adm., Urumqi, China
  • fYear
    2009
  • fDate
    11-13 June 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Statistic analyses were made based on the daily air pollution index data at five cities in Xinjiang of northwest of China from January 2005 to October 2008. Trajectory model (HYSPLIT4.8) was used to analysis the backward and forward trajectories on heavy air pollution days during winter of 2006. The results presented as following. 1) Winter is the season with the highest occurrence frequency of air pollution events (8.7) while air quality was relatively better in summer. 2) Principal pollutants (PP) for five cities were PM10 and the second PP only for Urumqi was SO2 with annual occurrence percentage of 79.2% and 20.8%, respectively. 3) The correlation coefficients of API between Urumqi and Miquan, Miquan and Fukang were higher above 0.7. 4) The backward and forward trajectory analysis indicated that the air masses leading to heavy polluted events partially come from Urumqi and Miquan city.
  • Keywords
    aerosols; air pollution; atmospheric composition; atmospheric movements; statistical analysis; sulphur compounds; AD 2005 01 to 2008 10; Central Xinjiang; China; Fukang; HYSPLIT4.8 trajectory model; Miquan; PM10; SO2; Urumqi; air pollutant transport; backward trajectory analysis; daily air pollution index; forward trajectory analysis; statistic analysis; Aerosols; Air pollution; Cities and towns; Energy consumption; Environmental economics; Frequency; Marine pollution; Meteorology; Power generation economics; Rivers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2901-1
  • Electronic_ISBN
    978-1-4244-2902-8
  • Type

    conf

  • DOI
    10.1109/ICBBE.2009.5162296
  • Filename
    5162296