Title :
Spatial characteristics of air pollution in the main city area of Chengdu, China
Author :
Li, Shuting ; Song, Shujun ; Fei, Xin
Author_Institution :
Inst. of Geo-Spatial Inf. Sci. & Technol., Univ. of Electron. Sci. & Technol., Chengdu, China
Abstract :
In Chengdu, air pollution is an important and popular topic because of its impact to human health. Sulfur dioxide (SO2), nitrogen dioxide (NO2) and particulate matter (PM10) are the major air pollutants caused by the usage of fossil fuels, and so forth. In this study, the spatial distribution variability of the major air pollutants across the main city area of Chengdu in 2010 was analyzed. In order to obtain the characteristics, two spatial interpolation methods based on Geographic Information System (GIS), Inverse Distance Weighted Interpolation (IDW) and Ordinary Kriging (OK), were chosen and compared. The results indicated that OK method was better to generate the prediction maps of pollutant concentrations than IDW method. High spatial diversity of NO2, SO2 and PM10 concentrations existed, especially in the east-west direction. Between the six main districts in Chengdu, Chenghua District was polluted more seriously in 2010.
Keywords :
air pollution; atmospheric composition; fossil fuels; geographic information systems; interpolation; nitrogen compounds; sulphur compounds; AD 2010; Chengdu; Chenghua District; China; Geographic Information System; NO2; SO2; air pollution spatial characteristics; fossil fuels; human health analysis; inverse distance weighted interpolation method; nitrogen dioxide concentration; ordinary Kriging method; particulate matter concentration; pollutant concentration analysis; spatial distribution variability; spatial interpolation method; sulfur dioxide concentration; Air pollution; Cities and towns; Geographic Information Systems; Interpolation; Monitoring; Predictive models; Surface contamination; Geographic Information System (GIS); air pollution; spatial characteristics; spatial interpolation methods;
Conference_Titel :
Geoinformatics, 2011 19th International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-61284-849-5
DOI :
10.1109/GeoInformatics.2011.5981082