资源环境科技发展态势分析平台

To better investigate the characteristics and sources of trace elements (TEs) in PM2.5 in urban Beijing, a 1-year hourly observation was continuously made using an online multi-element analyzer from 1 June 2016 to 31 May 2017. The average concentrations of 14 individual TEs ranged from 1.1 (V) to 900 ng/m(3) (K). The occurrence levels of most TEs of interest in Beijing were lower than those in most domestic cities, but higher than those in most foreign countries. The formation of sulfate increased with the concentrations of all studied TEs during autumn and winter. Dust, industry, biomass burning and waste incineration, vehicle emissions, coal combustion, and oil combustion were identified by the positive matrix factorization (PMF) model, which accounted for 36.3%, 10.7%, 27.1%, 13.7%, 7.6%, and 4.6%, respectively, of the total elements. All factors exhibited higher concentrations on weekends than on weekdays. Local vehicular emissions and industry contributed to the loading of TEs, but dust, biomass burning and waste incineration, coal combustion, and oil combustion from neighboring areas appeared to be dominant sources of TEs. Except for dust and industry, the four other sources of TEs were mainly located in the south and southeast areas of the sampling site. The analysis by conditional probability function and potential source contribution function showed that the distribution of the PMF sources of TEs roughly agreed with the location of the main point sources. Overall, this work provides more detailed information on the characteristics of the TEs for the scientific community and modelling work. Plain Language Summary A 1-year hourly observation of trace elements (TEs) was continuously made using an online multi-element analyzer in urban Beijing. The levels of most TEs of interest in Beijing were lower than those in most domestic cities of China but higher than those in most foreign countries. The formation of sulfate increased with the concentrations of all studied trace elements during autumn and winter. Six categories of sources of TEs were identified using the positive matrix factorization (PMF) model. All factors exhibited higher concentrations on weekends than on weekdays. Except for dust and industry, the four other sources of the TEs were mainly located in areas to the south and southeast of the sampling site. The analysis by conditional probability function and potential source contribution function showed that the distribution of the PMF sources of the TEs roughly agreed with the location of main point sources.