Monitoring and source apportionment of trace elements in PM2.5: Implications for local air quality management. (1st July 2017)

• Record Type: Journal Article
• Authors: Li, Yueyan; Chang, Miao; Ding, Shanshan; Wang, Shiwen; Ni, Dun; Hu, Hongtao
• Is Part Of: Journal of environmental management. Volume 196(2017)
• Page Start: 16
• Page End: 25
• Publication Date: 2017-07-01
• Subjects: Trace element -- PMF -- XRF -- Source apportionment -- Air quality management; Environmental policy -- Periodicals; Environmental management -- Periodicals; Environment -- Periodicals; Ecology -- Periodicals; 363.705
• DOI: 10.1016/j.jenvman.2017.02.059
• Languages: English
• ISSNs: 0301-4797

Abstract

Abstract: Fine particulate matter (PM2.5 ) samples were collected simultaneously every hour in Beijing between April 2014 and April 2015 at five sites. Thirteen trace elements (TEs) in PM2.5 were analyzed by online X-ray fluorescence (XRF). The annual average PM2.5 concentrations ranged from 76.8 to 102.7 μg m −3 . TEs accounted for 5.9%–8.7% of the total PM2.5 mass with Cl, S, K, and Si as the most dominant elements. Spearman correlation coefficients of PM2.5 or TE concentrations between the background site and other sites showed that PM2.5 and some element loadings were affected by regional and local sources, whereas Cr, Si, and Ni were attributed to substantial local emissions. Temporal variations of TEs in PM2.5 were significant and provided information on source profiles. The PM2.5 concentrations were highest in autumn and lowest in summer. Mn and Cr showed similar variation. Fe, Ca, Si, and Ti tended to show higher concentrations in spring, whereas concentrations of S peaked in summer. Concentrations of Cl, K, Pb, Zn, Cu, and Ni peaked in winter. PM2.5 and TE median concentrations were higher on Saturdays than on weekdays. The diurnal pattern of PM2.5 and TE median concentrations yielded similar bimodal patterns. Five dominant sources of PM2.5 mass were identified via positive matrix factorization (PMF). These sources included the regional and local secondary aerosols, traffic, coal burning, soil dust, and metal processing. Air quality management strategies, including regional environmental coordination and collaboration, reduction in secondary aerosol precursors, restrictive vehicle emission standards, promotion of public transport, and adoption of clean energy, should be strictly implemented. High time-resolution measurements of TEs provided detailed source profiles, which can greatly improve precision in interpreting source apportionment calculations; the PMF analysis of online XRF data is a powerful tool for local air quality management. Graphical abstract: Highlights: Fine particles (PM2.5 ) samples were collected hourly at five sites for one year. Spatiotemporal variations of trace elements provided information on source profiles. Secondary aerosols, traffic, and coal burning were dominant sources. Policies prioritizing air quality were proposed to mitigate PM2.5 pollutants. Positive matrix factorization could help inform decisions on air quality management.