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Ultrafine particles and PM2.5 in the air of cities around the world: Are they representative of each other?
de Jesus, Alma Lorelei; Rahman, Md Mahmudur; Mazaheri, Mandana; Thompson, Helen; Knibbs, Luke D; Jeong, Cheol; Evans, Greg; Nei, Wei; Ding, Aijun; Qiao, Liping; Li, Li; Portin, Harri; Niemi, Jarkko V; Timonen, Hilkka; Luoma, Krista; Petäjä, Tuukka; Kulmala, Markku; Kowalski, Michal; Peters, Annette; Cyrys, Josef; Ferrero, Luca; Manigrasso, Maurizio; Avino, Pasquale; Buonano, Giorgio; Reche, Cristina; Querol, Xavier; Beddows, David; Harrison, Roy M; Sowlat, Mohammad H; Sioutas, Constantinos; Morawska, Lidia.
Affiliation
  • de Jesus AL; International Laboratory for Air Quality and Health, Queensland University of Technology, Brisbane, QLD 4000, Australia.
  • Rahman MM; International Laboratory for Air Quality and Health, Queensland University of Technology, Brisbane, QLD 4000, Australia.
  • Mazaheri M; International Laboratory for Air Quality and Health, Queensland University of Technology, Brisbane, QLD 4000, Australia.
  • Thompson H; School of Mathematical Sciences, Queensland University of Technology, Brisbane, QLD 4000, Australia.
  • Knibbs LD; School of Public Health, The University of Queensland, Herston, QLD 4006, Australia.
  • Jeong C; Southern Ontario Centre for Atmospheric Aerosol Research, University of Toronto, Toronto, ON M5S 3ES, Canada.
  • Evans G; Southern Ontario Centre for Atmospheric Aerosol Research, University of Toronto, Toronto, ON M5S 3ES, Canada.
  • Nei W; Institute for Climate and Global Change Research, School of Atmospheric Sciences, Nanjing University, Qixia, Nanjing 210023, China.
  • Ding A; Institute for Climate and Global Change Research, School of Atmospheric Sciences, Nanjing University, Qixia, Nanjing 210023, China.
  • Qiao L; School of Environmental and Chemical Engineering, Shanghai University, Shanghai 200444, China.
  • Li L; School of Environmental and Chemical Engineering, Shanghai University, Shanghai 200444, China.
  • Portin H; Helsinki Region Environmental Services Authority, HSY, FI-00066 Helsinki, Finland.
  • Niemi JV; Helsinki Region Environmental Services Authority, HSY, FI-00066 Helsinki, Finland.
  • Timonen H; Atmospheric Composition Research, Finnish Meteorological Institute, P.O. Box 503, FI-00101 Helsinki, Finland.
  • Luoma K; Department of Physics, University of Helsinki, FI-00014 Helsinki, Finland.
  • Petäjä T; Department of Physics, University of Helsinki, FI-00014 Helsinki, Finland.
  • Kulmala M; Department of Physics, University of Helsinki, FI-00014 Helsinki, Finland.
  • Kowalski M; Helmholtz Zentrum München, German Research Centre for Environmental Health, Institute of Epidemiology II, Neuherberg, Germany.
  • Peters A; Helmholtz Zentrum München, German Research Centre for Environmental Health, Institute of Epidemiology II, Neuherberg, Germany.
  • Cyrys J; Helmholtz Zentrum München, German Research Centre for Environmental Health, Institute of Epidemiology II, Neuherberg, Germany.
  • Ferrero L; GEMMA and POLARIS Research Centres, Department of Earth and Environmental Sciences, University of Milano-Bicocca, 20126 Milano, Italy.
  • Manigrasso M; Department of Technological Innovations, National Institute for Insurance against Accidents at Work, Research Area, Rome, Italy.
  • Avino P; Department of Agricultural, Environmental and Food Sciences, University of Molise, via F. De Sanctis, I-86100 Campobasso, Italy.
  • Buonano G; Department of Engineering, University of Naples "Parthenope", Via Ammiraglio Ferdinando Acton, 38, 80233 Napoli, Italy.
  • Reche C; Institute of Environmental Assessment and Water Research, IDAEA, Spanish Research Council (CSIC), C/Jordi Girona 18-26, 08034 Barcelona, Spain.
  • Querol X; Institute of Environmental Assessment and Water Research, IDAEA, Spanish Research Council (CSIC), C/Jordi Girona 18-26, 08034 Barcelona, Spain.
  • Beddows D; National Centre of Atmospheric Science, School of Geography, Earth and Environmental Sciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, United Kingdom.
  • Harrison RM; Division of Environmental Health and Risk Management, School of Geography, Earth and Environmental Sciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, United Kingdom.
  • Sowlat MH; Department of Civil and Environmental Engineering, University of Southern California, Los Angeles, CA 90089, USA.
  • Sioutas C; Department of Civil and Environmental Engineering, University of Southern California, Los Angeles, CA 90089, USA.
  • Morawska L; International Laboratory for Air Quality and Health, Queensland University of Technology, Brisbane, QLD 4000, Australia. Electronic address: l.morawska@qut.edu.au.
Environ Int ; 129: 118-135, 2019 08.
Article de En | MEDLINE | ID: mdl-31125731
ABSTRACT
Can mitigating only particle mass, as the existing air quality measures do, ultimately lead to reduction in ultrafine particles (UFP)? The aim of this study was to provide a broader urban perspective on the relationship between UFP, measured in terms of particle number concentration (PNC) and PM2.5 (mass concentration of particles with aerodynamic diameter < 2.5 µm) and factors that influence their concentrations. Hourly average PNC and PM2.5 were acquired from 10 cities located in North America, Europe, Asia, and Australia over a 12-month period. A pairwise comparison of the mean difference and the Kolmogorov-Smirnov test with the application of bootstrapping were performed for each city. Diurnal and seasonal trends were obtained using a generalized additive model (GAM). The particle number to mass concentration ratios and the Pearson's correlation coefficient were calculated to elucidate the nature of the relationship between these two metrics. Results show that the annual mean concentrations ranged from 8.0 × 103 to 19.5 × 103 particles·cm-3 and from 7.0 to 65.8 µg·m-3 for PNC and PM2.5, respectively, with the data distributions generally skewed to the right, and with a wider spread for PNC. PNC showed a more distinct diurnal trend compared with PM2.5, attributed to the high contributions of UFP from vehicular emissions to PNC. The variation in both PNC and PM2.5 due to seasonality is linked to the cities' geographical location and features. Clustering the cities based on annual median concentrations of both PNC and PM2.5 demonstrated that a high PNC level does not lead to a high PM2.5, and vice versa. The particle number-to-mass ratio (in units of 109 particles·µg-1) ranged from 0.14 to 2.2, >1 for roadside sites and <1 for urban background sites with lower values for more polluted cities. The Pearson's r ranged from 0.09 to 0.64 for the log-transformed data, indicating generally poor linear correlation between PNC and PM2.5. Therefore, PNC and PM2.5 measurements are not representative of each other; and regulating PM2.5 does little to reduce PNC. This highlights the need to establish regulatory approaches and control measures to address the impacts of elevated UFP concentrations, especially in urban areas, considering their potential health risks.
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Polluants atmosphériques / Matière particulaire Type d'étude: Prognostic_studies Langue: En Journal: Environ Int Année: 2019 Type de document: Article Pays d'affiliation: Australie

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Polluants atmosphériques / Matière particulaire Type d'étude: Prognostic_studies Langue: En Journal: Environ Int Année: 2019 Type de document: Article Pays d'affiliation: Australie
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