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
Link To Document