Title :
Air qulity analysis based on PM2.5 distribution over China
Author :
He, Xingwei ; Xue, Yong ; Li, Yingjie ; Guang, Jie ; Yang, Leiku ; Xu, Hui ; Li, Chi
Author_Institution :
State Key Lab. of Remote Sensing Sci., Beijing Normal Univ., Beijing, China
Abstract :
Since the year of 2011, PM2.5 have become a heated topic in China. Particulate matter (PM), also known as aerosol, is one of the major pollutants that affect air quality. Exposure to particular matter with aerodynamic diameters less than 2.5 μm (PM2.5) can cause lung and respiratory diseases and even premature deaths. In this paper we use the aerosol optical depth (AOD) retrieved by the Synergetic Retrieval of Aerosol Properties (SRAP) method from MODIS data to calculate PM2.5., then estimate number of days with good air quality (PM2.5≤0.075 mg/m3) at each pixel over China in 2008. The result is applied to examine the air quality, From which we can see that there are about 200 days with good air quality in Beijing, in agreement with Official Reports. Throng analyzing the calculated days with good air quality in August from 2005 to 2008, we examined the temporal variations of PM2.5 over China, These findings indicate a positive annual variation trend before Beijing 2008 Olympic Games, however the air qulity of Beijing still needs improving.
Keywords :
aerosols; air pollution; atmospheric composition; atmospheric optics; diseases; AD 2008; Beijing; China; MODIS data; Olympic Games; PM2.5 distribution; Synergetic Retrieval of Aerosol Properties method; aerodynamic diameters; aerosol optical depth; air qulity analysis; good air quality; lung diseases; official reports; particulate matter; positive annual variation trend; premature deaths; respiratory diseases; temporal variations; Aerosols; Atmospheric measurements; Educational institutions; MODIS; Monitoring; Remote sensing; Satellites; PM2.5; SRAP; aerosol optical depth (AOD);
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6350346