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Atmospheric particulate pollution causes a serious threat to the environment, economic, and human health. The temporal and spatial distribution of Particulate Matter (PM) obtained by remote sensing helps to study atmospheric particulate pollution study and formulate policies. In this paper, a semi-empirical method is established to estimate the Total Suspended Particles TSP mass concentration based on ground-based remote sensing. In the method, a key transformed ratio of TSP aerosol volume (V) to its optical depth (AOD) is defined aerosol Volume-to-Extinction (VE). The properties of VE are analyzed for the different aerosol types by using AErosol RObotic NETwork (AERONET) data at seven sites including Beijing (urban/industrial), GSFC (urban/industrial), CUIABA MIRANDA and Mongu (biomass burning), Solar Village (desert dust), and Ascension Island and Lanai (oceanic) sites for about 10 years. It is found that VE for different aerosol types is a function of fine mode aerosol Volume-to-Extinction VEf and coarse mode aerosol Volume-to-Extinction VEc. The VEf is a function of Fine Mode Fraction (FMF) which is put forward by Zhang and Li (2015). VEc is also put forward as a function of FMF in this study. The results show the proportion of samples with the relative error of less than 16.7% is about 64%, and that with relative error of less than 50% is approximately 92%. Combined with the other assumptions including the aerosol vertical distribution and the light extinction of water uptake, the dry TSP mass concentration near the ground can be obtained. And the similar trend of the remote sensing TSP results and the in-situ PM10 measurements in Beijing is obtained, with the correlation coefficient of 0.78.
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