Variability of aerosols and chemical composition of PM10, PM2.5 and PM1 on a platform of the Prague underground metro

被引:51
|
作者
Cusack, M. [1 ]
Talbot, N. [1 ]
Ondracek, J. [1 ]
Minguillon, M. C. [2 ]
Martins, V. [2 ,3 ]
Klouda, K. [4 ]
Schwarz, J. [1 ]
Zdimal, V. [1 ]
机构
[1] Acad Sci Czech Republic, Inst Chem Proc Fundamentals, Vvi, CR-16502 Prague 6, Suchdol, Czech Republic
[2] CSIC, IDAEA, Inst Environm Assessment & Water Res, ES-08034 Barcelona, Spain
[3] Univ Barcelona, Dept Analyt Chem, Fac Chem, E-08028 Barcelona, Spain
[4] Natl Inst Nucl Chem & Biol Protect, Milin 26231, Czech Republic
关键词
Underground train microenvironment; Sub-micron particles; Number concentration; Number size distribution; PM chemical characterisation; PERSONAL EXPOSURE LEVELS; PARTICULATE MATTER; TRANSPORT MICROENVIRONMENTS; ELEMENTAL COMPOSITION; CASCADE IMPACTOR; RAILWAY STATION; SUBWAY SYSTEM; LONDON; PARTICLES; TRAIN;
D O I
10.1016/j.atmosenv.2015.08.013
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Measurements of PM10, PM2.5 and PM1 and particle number concentration and size distribution were measured for 24 h on a platform of the Prague underground metro in October 2013. The three PM fractions were analysed for major and minor elements, secondary inorganic aerosols (SIA) and total carbon (TC). Measurements were performed both when the metro was inoperative and closed to the public (referred to as background), and when the metro was in operation and open to passengers. PM concentrations were elevated during both periods, but were substantially increased in the coarse fraction during hours when the metro was in operation. Average PM concentrations were 214.8, 93.9 and 44.8 mu g m(-3) for PM10, PM2.5 and PM1, respectively (determined gravimetrically). Average particle number concentrations were 8.5 x 10(3) cm(-3) for background hours and 11.5 x 10(3) cm(-3) during operational hours. Particle number concentrations were found to not vary as significantly as PM concentrations throughout the day. Variations in PM were strongly governed by passing trains, with highest concentrations recorded during rush hour. When trains were less frequent, PM concentrations were shown to fluctuate in unison with the entrance and exit of trains (as shown by wind velocity measured on the platform). PM was found to be highly enriched with iron, especially in the coarse fraction, comprising 46% of PM10 (98.9 mu g m(-3)). This reduces to 6.7 mu g m(-3) during background hours, proving that the trains themselves were the main source of iron, most probably from wheel-rail mechanical abrasion. Other enriched elements relative to background hours included Ba, Cu, Mn, Cr, Mo, Ni and Co, among others. Many of these elements exhibited a similar size distribution, further indicating their sources were common and were attributed to train operations. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:176 / 183
页数:8
相关论文
共 50 条
  • [21] Chemical composition and sources of PM1 and PM2.5 in Beijing in autumn
    Zhang, Yanyun
    Lang, Jianlei
    Cheng, Shuiyuan
    Li, Shengyue
    Zhou, Ying
    Chen, Dongsheng
    Zhang, Hanyu
    Wang, Haiyan
    SCIENCE OF THE TOTAL ENVIRONMENT, 2018, 630 : 72 - 82
  • [22] Exposure to PM10, PM2.5, PM1 and Carbon Monoxide on Roads in Lahore, Pakistan
    Colbeck, Ian
    Nasir, Zaheer Ahmad
    Ahmad, Shakil
    Ali, Zulfiqar
    AEROSOL AND AIR QUALITY RESEARCH, 2011, 11 (06) : 689 - 695
  • [23] Assessments of PM1, PM2.5 and PM10 concentrations in Delhi at different mean cycles
    Tiwari, S.
    Chate, D. M.
    Srivastava, A. K.
    Bisht, D. S.
    Padmanabhamurty, B.
    GEOFIZIKA, 2012, 29 (02) : 125 - 141
  • [24] Statistical Modeling for PM10, PM2.5 and PM1 at Gangneung Affected by Local Meteorological Variables and PM10 and PM2.5 at Beijing for Non- and Dust Periods
    Choi, Soo-Min
    Choi, Hyo
    APPLIED SCIENCES-BASEL, 2021, 11 (24):
  • [25] PM2.5 chemical composition and spatiotemporal variability during the California Regional PM10/PM2.5 Air Quality Study (CRPAQS)
    Chow, Judith C.
    Chen, L. -W. Antony
    Watson, John G.
    Lowenthal, Douglas H.
    Magliano, Karen A.
    Turkiewicz, Kasia
    Lehrman, Donald E.
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2006, 111 (D10)
  • [26] Chemical composition of surface layer of PM1, PM1-2.5, PM2.5-10
    Klejnowski, Krzysztof
    Talik, Ewa
    Pastuszka, Jozef
    Rogula, Wioletta
    Krasa, Andrzej
    ARCHIVES OF ENVIRONMENTAL PROTECTION, 2007, 33 (03): : 89 - 95
  • [27] Chemical Variability of PM10 and PM2.5 in Southwestern Rural Nevada, USA
    Johann P. Engelbrecht
    Ilias G. Kavouras
    David S. Shafer
    Dave Campbell
    Scott Campbell
    Greg McCurdy
    Steven D. Kohl
    George Nikolich
    Larry Sheetz
    Alan W. Gertler
    Water, Air, & Soil Pollution, 2015, 226
  • [28] Chemical Variability of PM10 and PM2.5 in Southwestern Rural Nevada, USA
    Engelbrecht, Johann P.
    Kavouras, Ilias G.
    Shafer, David S.
    Campbell, Dave
    Campbell, Scott
    McCurdy, Greg
    Kohl, Steven D.
    Nikolich, George
    Sheetz, Larry
    Gertler, Alan W.
    WATER AIR AND SOIL POLLUTION, 2015, 226 (07):
  • [29] ANN-based PM prediction model for assessing the temporal variability of PM10, PM2.5 and PM1 concentrations at an urban roadway
    Srimuruganandam, B.
    Nagendra, S.M. Shiva
    International Journal of Environmental Engineering, 2015, 7 (01) : 60 - 89
  • [30] 沈阳地区PM10、PM2.5和PM1质量浓度的分析
    洪也
    周德平
    马雁军
    刘宁薇
    环境科学与技术, 2010, 33(S1) (S1) : 231 - 234+275