Inversion of AOD and PM2.5 Mass Concentration in Taihu Lake Area — Based on MODIS Data

2019 2nd International Conference on Advanced Materials, Intelligent Manufacturing and Automation

Hou, Shaojie^1 ; Zhai, Fuxiang^2 ; Liu, Fujiang^1

Remote Sensing, China University of Geoscience, Hubei Province, Wuhan

430074, China^1

Remote Sensing, China University of Geosc., Hubei Province, Wuhan

430074, China^2

关键词: Aerosol optical depths;    Ambient air quality;    Global climate changes;    Impact on the environment;    Linear functions;    Particulate Matter;    Quadratic function;    Relational Model;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/569/2/022037/pdf
DOI  :  10.1088/1757-899X/569/2/022037

来源: IOP

【 摘 要 】

Aerosols are an important factor in the balance of atmospheric radiation and global climate change, and have a significant impact on the environment and the physical health of the human body or other organisms. Accurate detection of aerosol optical depth and PM2.5 mass concentration of accessible particulate matter is important for studying ambient air quality and climate change. In this paper, the aerosol optical depth of Jiangsu Province was retrieved by using the MODIS L1B data from July to December 2017. Based on this, the relational model between PM2.5 mass concentration and AOD was established. The results show that the linear fitting results are better than the neural network. The prediction result of a linear function fitting is the best, followed by the quadratic function, and finally the cubic function.