9 June 2006 Analysis on establishing the framework of advanced warning mechanism system of urban photochemical smog pollution based on MODIS data
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Proceedings Volume 6200, Remote Sensing of the Environment: 15th National Symposium on Remote Sensing of China; 620013 (2006) https://doi.org/10.1117/12.682187
Event: Remote Sensing of the Environment: 15th National Symposium on Remote Sensing of China, 2005, Guiyan City, China
Abstract
With the increasing of vehicles in China, photochemical smog pollution accidents may be greatly possible in some Chinese cities. However, the predicting and alarming of photochemical smog is only in the preliminary stage. MODIS Information Service Processing System established by NASA provides 10km×10km resolution aerosol optical depth (AOD) Level 2 products. This paper establishes the framework of advanced warning mechanism system for the urban photochemical smog pollution based on MODIS data. The framework includes MODIS data reception and processing, analysis of variation of meteorology, analysis of ground surface detection data, atmospheric pollution index, and determination of advanced warning scale etc. We can further develop advanced warning system on the existing framework process basis which is designed for urban atmospheric pollution aided monitoring and prediction and advanced warning of atmospheric pollution. Advanced warning mechanism system of the urban photochemical pollution may be a part of the urban disaster prevention and reduction system to publicize atmospheric photochemical pollution in time, provide grounds for controlling environmental pollution and reference information for our daily lives and outgoing.
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Lihua Xia, Lihua Xia, Dehui Wang, Dehui Wang, "Analysis on establishing the framework of advanced warning mechanism system of urban photochemical smog pollution based on MODIS data", Proc. SPIE 6200, Remote Sensing of the Environment: 15th National Symposium on Remote Sensing of China, 620013 (9 June 2006); doi: 10.1117/12.682187; https://doi.org/10.1117/12.682187
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