Abstract
PM2.5 plays a key role in the solar radiation budget and air quality assessments, but observations and historical data are relatively rare for Beijing. Based on the synchronous monitoring of PM2.5 and broadband solar radiation (Rs), a logarithmic function was developed to describe the quantitative relationship between these parameters. This empirical parameterization was employed to calculate Rsn from PM2.5 with normalized mean bias (NMB) −0.09 and calculate PM2.5 concentration from Rsn with NMB −0.12. Our results indicate that this parameterization provides an efficient and straightforward method for estimating PM2.5 from Rs or Rs from PM2.5.
Highlights
Loading at the surface, whereas AOD characterizes the instantaneous integrated vertical profiles of the aerosol extinction coefficient
More than 80% of the aerosol particles are agglomerated in the surface layer, which indicates that the relationship between the PM2.5 concentration and AOD can be quantitatively measured
The annual PM2.5 concentration in Beijing during the study period was 6 times higher than the National Ambient Air Quality Standard of the U.S The PM2.5 concentration in Beijing has persistently declined since 2006, with a rate of decline of 1.91 μg m−3 per year, and this decreasing trend was statistically significant at the 95% confidence level
Summary
Loading at the surface, whereas AOD characterizes the instantaneous integrated vertical profiles of the aerosol extinction coefficient. More than 80% of the aerosol particles are agglomerated in the surface layer, which indicates that the relationship between the PM2.5 concentration and AOD can be quantitatively measured. A widely used empirical equation has been established to convey the relation between AOD and the PM2.5 concentration. Xia[14] provided a straightforward method to estimate Rs under clear sky conditions with AOD and indicated that AOD can be directly calculated from Rs and other parameters. Similar to the AIRNow program methods, the relationship between Rs and the PM2.5 concentration is investigated in this study. An empirical equation is established to convert Rs to the PM2.5 concentration. A straightforward equation for estimating PM2.5 from Rs was developed based on the quantitative relationship between PM2.5 and Rs
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