Quantifying PM2.5 mass concentration and particle radius using satellite data and an optical-mass conversion algorithm

摘要: Abstract Although satellite-based approaches have been developed and adopted for estimating the concentration of fine particulate matter (PM2.5) with promising accuracy, few studies considered mass particle radius simultaneously, even though size is significant human health impacts. We a PM2.5 retrieval method using optical-mass relationships via aerosol microphysical characteristics. Satellite data from MODerate resolution Imaging Spectroradiometer (MODIS) instrument, combined parameters meteorological reanalysis, were processed to calculate radii retrieve concentrations over China in 2017. Our study first identify spatial pattern mean China, which was validated against observations AERONET (RMSE = 0.11 μm). Mean eastern smaller than west, depicting clear bifurcation across country, especially summertime. This finding attributed variations topography, meteorology, land use population density, affects properties emitted aerosols as well their fate transport. A statistically correlation (R = 0.82) observed between estimated measured annual PM2.5, RMSE = 9.25 μg/m3, MAE = 6.98 μg/m3, MBE = −1.98 μg/m3 RPE = 17.69% (N = 1270). The spatiotemporal distributions resulting are consistent previous findings, indicating effectiveness applicability our method. approach quantifies without introducing regionally-specific fitting parameters, can be efficiently applied various temporal domains.