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Discussion papers
https://doi.org/10.5194/acp-2019-493
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-2019-493
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: research article 18 Jun 2019

Submitted as: research article | 18 Jun 2019

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Atmospheric Chemistry and Physics (ACP).

Long range and local air pollution: what can we learn from chemical speciation of particulate matter at paired sites?

Marco Pandolfi1, Dennis Mooibroek2, Philip Hopke3, Dominik van Pinxteren4, Xavier Querol1, Hartmut Herrmann4, Andrés Alastuey1, Olivier Favez5, Christoph Hüglin6, Esperanza Perdrix7, Véronique Riffault7, Stéphane Sauvage7, Eric van der Swaluw2, Oksana Tarasova8, and Augustin Colette5 Marco Pandolfi et al.
  • 1Institute of Environmental Analysis and Water Research (IDAEA-CSIC), c/ Jordi-Girona 18–26, Barcelona, Spain
  • 2Centre for Environmental Monitoring, National Institute of Public Health and the Environment (RIVM), A. van Leeuwenhoeklaan 9, P.O. Box 1, 3720 BA, Bilthoven, The Netherlands
  • 3Center for Air Resources Engineering and Science, Clarkson University, Potsdam, NY, USA
  • 4Leibniz Institute for Tropospheric Research (TROPOS), Atmospheric Chemistry Department (ACD), Permoserstr. 15, 04318 Leipzig, Germany
  • 5National Institute for Industrial Environment and Risks (INERIS), Verneuil-en-Halatte, 60550, France
  • 6Empa, Swiss Federal Laboratories for Materials Science nd Technology, 8600 Dübendorf, Switzerland
  • 7IMT Lille Douai, Univ. Lille, SAGE – Département Sciences de l'Atmosphère et Génie de l'Environnement, 59000 Lille, France
  • 8World Meteorological Organization, Research Department, Geneva, Switzerland

Abstract. We report here results of a detailed analysis of the urban and non-urban contributions to PM concentrations and source contributions in 5 European cities, namely: Shiedam (The Netherlands; NL), Lens (France; FR), Leipzig (Germany; DE), Zurich (Switzerland; CH) and Barcelona (Spain; ES). PM chemically speciated data from 12 European paired monitoring sites (1 traffic, 5 urban, 5 regional and 1 continental background) were analyzed by Positive Matrix Factorization (PMF) and Lenschow's approach to assign measured PM and source contributions to the different spatial levels. Five common sources were obtained at the 12 sites: sulfate-rich (SSA) and nitrate-rich (NSA) aerosols, road traffic (RT), mineral matter (MM), and sea salt (SS). These sources explained from 55 % to 88 % of PM mass at urban low-traffic impact sites (UB) depending on the country. Three additional common sources were detected at a subset of sites/countries, namely: biomass burning (BB) (FR, CH, and DE), explaining an additional 9–13 % of PM mass, residual oil combustion (V-Ni), and primary industrial (IND) (NL and ES), together explaining an additional 11–15 % of PM mass. In all countries, the majority of PM measured at UB sites was of regional + continental (R + C) nature (64–74 %). The R + C PM increments due to anthropogenic emissions were in the range 10–11 μg/m3 in CH, NL and DE (52 %, 62 % and 66 %, respectively, of UB PM mass), followed by ES (8 g/m3; 32 %) and FR (5 g/m3; 23 %). Overall, the R + C PM increments due to natural and anthropogenic sources showed opposite seasonal profiles with the former increasing in summer and the latter increasing in winter, even if exceptions were observed. In ES, the anthropogenic R + C PM increment was higher in summer due to high contributions from regional SSA and V-Ni sources, both being mostly related to maritime shipping emissions at the Spanish sites. Conversely, in the other countries, higher anthropogenic R + C PM increments in winter were mostly due to high contributions from NSA and BB regional sources during the cold season. On annual average, the sources showing higher R + C increments were SSA (77–91 % of SSA source contribution at urban level), NSA (51–94 %), MM (58–80 %), BB (42–78 %), IND (91 % in the Netherlands). Other sources showing high R + C increments were photochemistry (PHO) and coal combustion (CC) (97–99 %; detected only in DE). The highest regional SSA increment was observed in ES, especially in summer, and was related to ship emissions, enhanced photochemistry and peculiar meteorological patterns of the Western Mediterranean. The highest R + C and urban NSA increments were observed in NL and associated with high availability of precursors such as NOx and NH3. Conversely, on average, the sources showing higher local increments were RT (62–90 % at all sites) and V-Ni (65–80 % in ES and NL). The relationship between SSA and V-Ni indicated that the contribution of ship emissions to the local sulfate concentrations in NL strongly decreased from 2007 thanks to the shift from high-sulfur to low-sulfur content fuel used by ships. Based on the present analysis, an improvement of air quality in the 5 cities included here could be achieved by further reducing local (urban) emissions of PM, NOx and NH3 (from both traffic and non-traffic sources) but also SO2 and PM (from maritime ships and ports) and giving high relevance to non-urban contributions by further reducing emissions of SO2 (maritime shipping) and NH3 (agriculture) and those from industry, regional BB sources and coal combustion.

Marco Pandolfi et al.
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Short summary
In the last scientific assessment report from LRTAP Convention, it is stated that because non-urban sources are often major contributors to urban pollution, many cities will be unable to meet WHO guideline levels for air pollutants through local action alone. Consequently, it is very important to estimate how much the local and non-local sources contribute to urban pollution in order to design global strategies to reduce the levels of pollutants in European cities.
In the last scientific assessment report from LRTAP Convention, it is stated that because...
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