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Atmospheric iron particles in PM2.5 from a subway station, Beijing, China

Zhang, Mengyuan, Shao, Longyi, Jones, Tim ORCID: https://orcid.org/0000-0002-4466-1260, Feng, Xiaolei, Ge, Shuoyi, Yang, Cheng-Xue, Cao, Yaxin, Berube, Kelly ORCID: https://orcid.org/0000-0002-7471-7229 and Zhang, Daizhou 2022. Atmospheric iron particles in PM2.5 from a subway station, Beijing, China. Atmospheric Environment 283 , 119175. 10.1016/j.atmosenv.2022.119175

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Abstract

Particulate matter pollution in the subway station's atmosphere can seriously influence the air quality and impacts on the health of subway workers and commuters. In this study, PM2.5 samples were collected from different locations within a subway station in Beijing, and the individual particles were analyzed for morphology and composition by Transmission Electron Microscopy with Energy Dispersive X-ray Spectrometry (TEM-EDX). The results showed that the concentration of PM2.5 in subway stations was affected by both indoor and outdoor sources. Particles generated by train-related sources such as resuspension, wheel, rail, brake and collector shoe abrasion were a significant source of airborne pollution in the subway atmosphere. Within the subway station PM2.5, Fe was the dominant element, and was detected in more than 75% of all particles analyzed. The Fe-rich particles were identified in railway carriages (79.4%), station concourse (65.3%), and platforms (61.3%). The geometric mean diameter of Fe-rich particles was 0.34 μm, which was smaller than that of all detected particles. Cr, Mn and other metals were often detected in the Fe-rich particles, reflecting metal alloys used in the wheels and tracks. A better understanding of the particle distribution around different areas of the subway system and the physicochemical characteristics of these Fe-rich particles is critical in developing a meaningful assessment of the risk posed by particles in the subway atmosphere.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Biosciences
Earth and Environmental Sciences
Publisher: Elsevier
ISSN: 1352-2310
Date of First Compliant Deposit: 23 May 2022
Date of Acceptance: 13 May 2022
Last Modified: 07 Nov 2023 04:12
URI: https://orca.cardiff.ac.uk/id/eprint/149846

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