Phenomenology of ultrafine particle concentrations and size distribution across urban Europe

Pedro Trechera*, Meritxell Garcia-Marlès*, Xiansheng Liu, Cristina Reche, Noemí Pérez, Marjan Savadkoohi, David Beddows, Imre Salma, Máté Vörösmarty, Andrea Casans, Juan Andrés Casquero-Vera, Christoph Hueglin, Nicolas Marchand, Benjamin Chazeau, Grégory Gille, Panayiotis Kalkavouras, Nikos Mihalopoulos, Jakub Ondracek, Nadia Zikova, Jarkko V. NiemiHanna E. Manninen, David C. Green, Anja H. Tremper, Michael Norman, Stergios Vratolis, Konstantinos Eleftheriadis, Francisco J. Gómez-Moreno, Elisabeth Alonso-Blanco, Holger Gerwig, Alfred Wiedensohler, Kay Weinhold, Maik Merkel, Susanne Bastian, Jean Eudes Petit, Olivier Favez, Suzanne Crumeyrolle, Nicolas Ferlay, Sebastiao Martins Dos Santos, Jean Philippe Putaud, Hilkka Timonen, Janne Lampilahti, Christof Asbach, Carmen Wolf, Heinz Kaminski, Hicran Altug, Barbara Hoffmann, David Q. Rich, Marco Pandolfi, Roy M. Harrison, Philip K. Hopke, Tuukka Petäjä, Andrés Alastuey, Xavier Querol

*Corresponding author for this work

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Abstract

The 2017–2019 hourly particle number size distributions (PNSD) from 26 sites in Europe and 1 in the US were evaluated focusing on 16 urban background (UB) and 6 traffic (TR) sites in the framework of Research Infrastructures services reinforcing air quality monitoring capacities in European URBAN & industrial areaS (RI-URBANS) project. The main objective was to describe the phenomenology of urban ultrafine particles (UFP) in Europe with a significant air quality focus.

The varying lower size detection limits made it difficult to compare PN concentrations (PNC), particularly PN10-25, from different cities. PNCs follow a TR > UB > Suburban (SUB) order. PNC and Black Carbon (BC) progressively increase from Northern Europe to Southern Europe and from Western to Eastern Europe. At the UB sites, typical traffic rush hour PNC peaks are evident, many also showing midday-morning PNC peaks anti-correlated with BC. These peaks result from increased PN10-25, suggesting significant PNC contributions from nucleation, fumigation and shipping.

Site types to be identified by daily and seasonal PNC and BC patterns are: (i) PNC mainly driven by traffic emissions, with marked correlations with BC on different time scales; (ii) marked midday/morning PNC peaks and a seasonal anti-correlation with PNC/BC; (iii) both traffic peaks and midday peaks without marked seasonal patterns. Groups (ii) and (iii) included cities with high insolation.

PNC, especially PN25-800, was positively correlated with BC, NO2, CO and PM for several sites. The variable correlation of PNSD with different urban pollutants demonstrates that these do not reflect the variability of UFP in urban environments. Specific monitoring of PNSD is needed if nanoparticles and their associated health impacts are to be assessed. Implementation of the CEN-ACTRIS recommendations for PNSD measurements would provide comparable measurements, and measurements of <10 nm PNC are needed for full evaluation of the health effects of this size fraction.

Original languageEnglish
Article number107744
Number of pages17
JournalEnvironment International
Volume172
Early online date13 Jan 2023
DOIs
Publication statusPublished - Feb 2023

Bibliographical note

Funding Information:
This study is supported by the RI-URBANS project (Research Infrastructures Services Reinforcing Air Quality Monitoring Capacities in European Urban & Industrial Areas, European Union's Horizon 2020 research and innovation programme, Green Deal, European Commission, under grant agreement No 101036245). The authors would like to thank ACTRIS (The Aerosol, Clouds and Trace Gases Research Infrastructure), especially the EBAS Data Centre, for providing datasets for the study. The authors would like to thank also the support from “Agencia Estatal de Investigación” from the Spanish Ministry of Science and Innovation, and FEDER funds under the projects CAIAC (PID2019-108990RB-I00); and the Generalitat de Catalunya (AGAUR 2021 SGR00447) and the Direcció General de Territori. This study is partly funded by the National Institute for Health Research (NIHR) Health Protection Research Unit in Environmental Exposures and Health, a partnership between UK Health Security Agency (UKHSA) and Imperial College London. The views expressed are those of the author(s) and not necessarily those of the NIHR, UKHSA, or the Department of Health and Social Care. The work in Rochester, NY was funded by the New York State Energy Research and Development Authority under contracts #59802 and 125993. This research is also partly supported by the Hungarian Research, Development and Innovation Office (grant no. K132254). We thank the Hessian Agency for Nature Conservation, Environment and Geology (HLNUG), Wiesbaden, Germany for providing concentrations of ancillary pollutants of urban background station at Darmstadt. The Stockholm traffic station (Hornsgatan) datasets were provided thanks to the nPETS project (grant agreement no. 954377) funded by the European Union (EU).

Publisher Copyright:
© 2023 The Authors

Keywords

  • Aerosols
  • Air quality
  • Atmospheric particulate matter
  • Nanoparticles
  • Particle number concentrations
  • Urban environment

ASJC Scopus subject areas

  • Environmental Science(all)

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