Analysis of PM2.5 component characteristics and oxidative potential in Beijing based on multi-mode application
PM2.5 samples were collected and analyzed at the station of Chinese Academy of Meteorological Sciences(CAMS)in March and July 2019.PMF(Positive Matrix Factorization)model was used for source analysis,demonstrating that traffic sources(19.10％),secondary components(19.17％)and dust sources(18.02％)were the main sources of PM2.5 pollution during the sampling period in Beijing.On this basis,the oxidative potential of PM2.5 was determined by the consumption rate of ascorbic acid(AA)per cubic meter,referred as OPv.The OPv were(210.49±169.00)[pmol/(min·m3)]and(313.34±131.84)[pmol/min·m3]]in March and July,respectively.OPv had a very strong correlation with Cu(r=0.801),As(r=0.742),SO42(r=0.701).A new OPv prediction model was constructed by the multiple regression results and the WRF-Chem model.It was found that there were differences in the spatial characteristics of OPv and PM2.5 concentrations,and the maximum concentration of OPv in Beijing appeared in the southeast.
PM2.5PMFoxidative potentialmultiple linear regressionWRF-Chemnumerical simulation
万方数据
