There exist increasingly serious and dangerous photochemical smog events in some cities caused by increasing motor vehicles. The prediction and early warning system, however, has not started to work. Therefore, we had better monitor the photochemical smog using remote sensing data and, at the same time, build the early warning system. Studies reveal a distinct positive correlation between aerosol optical depth (AOD) and air pollution monitored by MODIS data. When AOD<0.3, air is clean; when 0.3<AOD<1.0, there exists weak air pollution; and when AOD>1.0, air pollution becomes serious. Based on analyzing the correlation between AOD and air pollution and using data of air pollution monitors and Air pollution Index (API), this paper has divided the early warning system of Urban Photochemical Smog Pollution into five grades: nil, faint, weak, relatively strong and strong, Verification with the example of Guangzhuo has laid the foundation for the application of the Advanced Warning Mechanism System to the Urban Photochemical Smog Pollution.
夏丽华, 王德辉, 王芳. 基于MODIS数据的广州市光化学污染预警等级研究[J]. 国土资源遥感, 2006, 18(4): 73-76.
XIA Li-Hua, WANG De-Hui, WANG Fang. RESEARCHES ON THE ADVANCED WARNING SYSTEM AND
ADVANCED WARNING GRADE OF THE PHOTOCHEMIC SMOG
POLLUTION IN GUANGZHOU CITY BASED ON MODIS DATA. REMOTE SENSING FOR LAND & RESOURCES, 2006, 18(4): 73-76.