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Characteristics and seasonality of trace elements in fine aerosols from Tianjin, North China during 2018-2019
- Source :
- Environmental Advances, Vol 9, Iss , Pp 100263- (2022)
- Publication Year :
- 2022
- Publisher :
- Elsevier, 2022.
-
Abstract
- To better understand the characteristics and seasonality of trace elements in fine aerosols (PM2.5) in the Tianjin region, North China, we conducted a long-term PM2.5 sampling during July 2018 to July 2019 (n = 121) at an urban location in Tianjin. We measured 28 trace elements in PM2.5 using inductively coupled plasma mass spectroscopy (ICP-MS). Zn, As, Cd, V, and Ni, which are mainly emitted from anthropogenic sources, found to be abundant followed by the elements of natural origin and of dust, respectively. Concentrations of most of the elements varied substantially from season to season, indicating the seasonal differences in emission sources. However, V, Ni, and Cr did not show any significant seasonal variation during the whole campaign, which suggested that the impact of local emissions from the industry was significant throughout the year at Tianjin. The positive matrix factorization (PMF) analysis of the data resulted six factors, representing the sources: emissions of coal combustion, industries, biomass burning, soil dust, vehicle exhaust and secondary formation, with the relative contributions of 17.3%, 12.5%, 14.3%, 18.8%, 25.3% and 11.9%, respectively. Although the annual contribution to PM2.5 from vehicle exhaust was higher, the contributions from biomass burning, secondary formation, coal combustion and the vehicle exhaust were dominated in spring, summer, autumn and winter, respectively. This study provides insights on PM2.5 seasonal characteristics and to develop a controlling strategy for air pollution in mid-latitude coastal cities, especially in northeastern Asia.
Details
- Language :
- English
- ISSN :
- 26667657
- Volume :
- 9
- Issue :
- 100263-
- Database :
- Directory of Open Access Journals
- Journal :
- Environmental Advances
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.7b14219f74244595a7e309d750f81dd3
- Document Type :
- article
- Full Text :
- https://doi.org/10.1016/j.envadv.2022.100263