• DocumentCode
    3122791
  • Title

    Spatial and Temporal Variations in Urban IPM Pollution and Analysis of Influencing Factors in Beijing

  • Author

    Zhao, Wenji ; Zhao, Wenhui ; Tao, Shu

  • Author_Institution
    Beijing Municipal Key Lab. of Resources Environ., GIS, Beijing, China
  • fYear
    2010
  • fDate
    18-20 June 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Based on the monitoring summer data obtained from 87 air sampling stations in Beijing urban area from 2007 to 2009, the spatial distribution of PM0.3, PM3.0 and PM5.0 concentration and meteorological factors were simulated by using Kriging method. Meanwhile, the different regularity and spatial variability of inhalable particulate matter (IPM) were shown in the experiment. Furthermore, taking the case of data in 2009, the influences of different meteorological factors such as temperature, humidity and wind speed were analyzed and compared. Finally, based on land cover map abstracted from remote sensing image, research on the relationship of land use types and local IPM concentration has been carried out. The results showed that spherical models with nuggets could fit the variograms of airborne inhalable particulates. In recent years, the level of inhalable particulate pollution in Beijing has fallen substantially especially in 2008. The main polluted area was centralized at southwest, northwest was weaker. Pollution level in central city was relatively light, and the spatial relativity between three kinds of airborne inhalable particulate pollutant and their impact factors had spatial heterogeneity. As for the meteorological factors, the relative humidity significantly affected inhalable particulate pollution. Temperature was second, and the weakest factor was wind speed.
  • Keywords
    air pollution measurement; atmospheric composition; atmospheric humidity; atmospheric temperature; remote sensing; wind; Beijing; airborne inhalable particulate pollutant; canonical correlation analysis; inhalable particulate pollution; land cover map; meteorological factors; pollution level; relative humidity; remote sensing image; spherical models; urban area; urban inhalable particulate matter; variograms; wind speed; Atmospheric modeling; Humidity; Land surface temperature; Meteorological factors; Monitoring; Sampling methods; Temperature sensors; Urban areas; Urban pollution; Wind speed;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedical Engineering (iCBBE), 2010 4th International Conference on
  • Conference_Location
    Chengdu
  • ISSN
    2151-7614
  • Print_ISBN
    978-1-4244-4712-1
  • Electronic_ISBN
    2151-7614
  • Type

    conf

  • DOI
    10.1109/ICBBE.2010.5516522
  • Filename
    5516522