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Wang, ZF, Chen, LF, Tao, JH, Zhang, Y, Su, L (2010). Satellite-based estimation of regional particulate matter (PM) in Beijing using vertical-and-RH correcting method. REMOTE SENSING OF ENVIRONMENT, 114(1), 50-63.

Theoretical analysis based on the atmospheric radiative transfer indicated a positive correlation between the aerosol optical thickness (AOT) and the surface-level particulate matter (PM) concentrations, and this correlation is improved significantly using vertical-and-RH correcting method. The correlative analysis of the ground-based measurement indicates that, (a) the correlation between AOT and the aerosol extinction coefficient at surface level (k(a,0)) is improved as a result of the vertical correction, with the coefficient of determination R-2 increasing from 0.35 to 0.56; (b) the correlation between k(a,0) and PM concentrations can be significantly improved by the RH correction with the R-2 increasing from 0.43 to 0.77 for PM10, and from 0.35 to 0.66 for PM2.5. Based on the in-situ measurements in Beijing, two linear correlative models between the ground-based AOT and PMs (e.g. PM10 and PM2.5) concentrations were developed. These models are used to estimate the regional distribution of PM10 and PM2.5 using the satellite-retrieved AOT in Beijing area. Validation against the in-situ measurements in Beijing shows that both of the correlations of the satellite-estimated PM10 and PM2.5 with the measurements are R-2 = 0.47, and the biases are 26.33% and 6.49% respectively. When averaged in the urban area of Beijing, the R-2 between the estimated PM 10 and the measurements increased to 0.66. These results suggest that by using the vertical-and-RH correcting method we can use the MODIS data to monitor the regional air pollution. (C) 2009 Elsevier Inc. All rights reserved.



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