Using remote sensing and GIS techniques to understand the polluted air in China

Authors: Li Lin*, George Mason University, Liping Di, George Mason University, Chen Zhang, George Mason University
Topics: Social Geography, Environment
Keywords: Pm2.5,GIS, Air pollution
Session Type: Poster
Day: 4/13/2018
Start / End Time: 1:20 PM / 3:00 PM
Room: Napoleon Foyer/Common St. Corridor, Sheraton, 3rd Floor
Presentation File: No File Uploaded

Pollution is one of the main negative outcomes for rapid economic growth without sustainable development in China. These different types of pollutions are harming Chinese’s health and the situation could last for decades. Fine particulate matter(PM2.5), which is one of most common air pollution in China, could penetrate and sediment in human’s respiratory system and cause different kind of respiratory diseases and even cancer. Research has shown the strong correlation between Aerosol Optical Depth (AOD) and PM2.5. For this reason, remote sensing imagery could be used to estimate the level of PM2.5 concentration. With utilizing PM2.5 concentration dataset estimated by Socioeconomic Data and Applications Center (SEDAC), this paper is aimed to provide spatiotemporal comparison of PM2.5 concentration between cities of China. Result from this analysis could help people to better understand current status of air pollution (particular for PM2.5) of China.

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