Literature DB >> 30092454

Aerosol sources in subway environments.

M C Minguillón1, C Reche2, V Martins2, F Amato2, E de Miguel3, M Capdevila3, S Centelles3, X Querol2, T Moreno2.   

Abstract

Millions of people use rail subway public transport around the world, despite the relatively high particulate matter (PM) concentrations in these underground environments, requiring the identification and quantification of the aerosol source contributions to improve the air quality. An extensive aerosol monitoring campaign was carried out in eleven subway stations in the Barcelona metro system, belonging to seven subway lines. PM2.5 samples were collected during the metro operating hours and chemically analysed to determine major and trace elements, inorganic ions, and total carbon. The chemical compositions of subway components such as brake pads, rail tracks and pantographs were also determined. The mean PM2.5 concentrations varied widely among stations, ranging from 26 µg m-3 to 86 µg m-3. Subway PM2.5 was mainly constituted by Fe2O3 (30-66%), followed by carbonaceous matter (18-37%) for the old stations, while for new stations equipped with Platform Screen Doors (PSD) these percentages go down to 21-44% and 15-30%, respectively. Both the absolute concentrations and the relative abundance of key species differed for each subway station, although with common patterns within a given subway line. This is a result of the different emission chemical profiles in different subway lines (using diverse types of brakes and/or pantographs). The co-emission of different sources poses a problem for their separation by receptor models. Nevertheless, receptor modelling (Positive Matrix Factorization) was applied resulting in ten sources, five of them subway-specific: RailWheel, RailWheel+Brake, Brake_A, Brake_B, Pb. The sum of their contributions accounted for 43-91% of bulk PM2.5 for the old stations and 21-52% for the stations with PSD. The decrease of the activity during the weekends resulted in a decrease (up to 56%) in the subway-specific sources contribution to the -already lower- bulk PM2.5 concentrations compared to weekdays. The health-related elements are mainly apportioned (> 60%) by subway sources.
Copyright © 2018 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Aerosols; Air quality; Metro; Particulate matter; Source apportionment

Mesh:

Substances:

Year:  2018        PMID: 30092454     DOI: 10.1016/j.envres.2018.07.034

Source DB:  PubMed          Journal:  Environ Res        ISSN: 0013-9351            Impact factor:   6.498


  6 in total

1.  Sources and Characteristics of Particulate Matter in Subway Tunnels in Seoul, Korea.

Authors:  Yongil Lee; Young-Chul Lee; Taesung Kim; Jin Seok Choi; Duckshin Park
Journal:  Int J Environ Res Public Health       Date:  2018-11-12       Impact factor: 3.390

2.  Exposures to Air Pollution and Noise from Multi-Modal Commuting in a Chinese City.

Authors:  Yisi Liu; Bowen Lan; Jeff Shirai; Elena Austin; Changhong Yang; Edmund Seto
Journal:  Int J Environ Res Public Health       Date:  2019-07-16       Impact factor: 3.390

Review 3.  Environmental and Health Effects of Ventilation in Subway Stations: A Literature Review.

Authors:  Yueming Wen; Jiawei Leng; Xiaobing Shen; Gang Han; Lijun Sun; Fei Yu
Journal:  Int J Environ Res Public Health       Date:  2020-02-08       Impact factor: 3.390

4.  PM2.5 Concentration and Composition in Subway Systems in the Northeastern United States.

Authors:  David G Luglio; Maria Katsigeorgis; Jade Hess; Rebecca Kim; John Adragna; Amna Raja; Colin Gordon; Jonathan Fine; George Thurston; Terry Gordon; M J Ruzmyn Vilcassim
Journal:  Environ Health Perspect       Date:  2021-02-10       Impact factor: 9.031

5.  Effect of omega-3 fatty acids on TH1/TH2 polarization in individuals with high exposure to particulate matter ≤ 2.5 μm (PM2.5): a randomized, double-blind, placebo-controlled clinical study.

Authors:  Xiaomin Wang; Shuiqin Li; Yongcan Wu; Demei Huang; Caixia Pei; Yilan Wang; Shihua Shi; Fei Wang; Zhenxing Wang
Journal:  Trials       Date:  2022-02-24       Impact factor: 2.279

6.  Implementation of IoT-Based Air Quality Monitoring System for Investigating Particulate Matter (PM10) in Subway Tunnels.

Authors:  Jun Ho Jo; ByungWan Jo; Jung Hoon Kim; Ian Choi
Journal:  Int J Environ Res Public Health       Date:  2020-07-28       Impact factor: 3.390

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.