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《Journal of Nanjing Normal University(Natural Science Edition)》 2016-03
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Estimation Method for Ground Particulate Matter(PM)Concentrations Based on MODIS Data

Dai Ranpo;Su Huidan;Tao Chenyang;Guo Gepu;Ma Qingyu;Xie Yong;School of Physics and Technology,Nanjing Normal University;Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences;  
A method is proposed to estimate the surface-level particulate matter(PM)concentrations by using satellite remote sensing data in this paper. With the Terra/MODIS satellite-based data and the aerosol retrieval algorithm of twoday MODIS data,the aerosol optical depth over Wuxi city was calculated firstly. Then the relationship between the size distribution range of particle matter concentration and aerosol optical thickness was achieved using the aerosol optical depth and the measured particle matter concentration data. Lastly,the estimated results were evaluated by comparing with the PM values obtained by the ground-based observations deployed in the research region. The estimated PM values and observation results show good correlations and the entire ground monitoring particle mass concentrations are distributed within the range estimated by the satellite remote sensing data. This study confirms the feasibility of PM concentration monitoring with the MODIS data and provides an effective method of PM estimation for surface-level particulate.
【Fund】: 国家自然科学基金(11274176、11474166);; 中国博士后科学基金(2016M591874);; 江苏高校优势学科建设项目(164320H115)
【CateGory Index】: X513;X87
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