Lessons learnt from the first EMEP intensive measurement periods

The first EMEP intensive measurement periods were held in June 2006 and January 2007. The measurements aimed to characterize the aerosol chemical compositions, including the gas/aerosol partitioning of inorganic compounds. The measurement program during these periods included daily or hourly measurements of the secondary inorganic components, with additional measurements of elemental- and organic carbon (EC and OC) and mineral dust in PM1, PM2.5 and PM10. These measurements have provided extended knowledge regarding the composition of particulate matter and the temporal and spatial variability of PM, as well as an extended database for the assessment of chemical transport models. This paper summarise the first experiences of making use of measurements from the first EMEP intensive measurement periods along with EMEP model results from the updated model version to characterise aerosol composition. We investigated how the PM chemical composition varies between the summer and the winter month and geographically. The observation and model data are in general agreement regarding the main features of PM10 and PM2.5 composition and the relative contribution of different components, though the EMEP model tends to give slightly lower estimates of PM10 and PM2.5 compared to measurements. The intensive measurement data has identified areas where improvements are needed. Hourly concurrent measurements of gaseous and particulate components for the first time facilitated testing of modelled diurnal variability of the gas/aerosol partitioning of nitrogen species. In general, the modelled diurnal cycles of nitrate and ammonium aerosols are in fair agreement with the measurements, but the diurnal variability of ammonia is not well captured. The largest differences between model and observations of aerosol mass are seen in Italy during winter, which to a large extent may be explained by an underestimation of residential wood burning sources. It should be noted that both primary and secondary OC has been included in the calculations for the first time, showing promising results. Mineral dust is important, especially in southern Europe, and the model seems to capture the dust episodes well. The lack of measurements of mineral dust hampers the possibility for model evaluation for this highly uncertain PM component. There are also lessons learnt regarding improved measurements for future intensive periods. There is a need for increased comparability between the measurements at different sites. For the nitrogen compounds it is clear that more measurements using artefact free methods based on continuous measurement methods and/or denuders are needed. For EC/OC, a reference methodology (both in field and laboratory) was lacking during these periods giving problems with comparability, though measurement protocols have recently been established and these should be followed by the Parties to the EMEP Protocol. For measurements with no defined protocols, it might be a good solution to use centralised laboratories to ensure comparability across the network. To cope with the introduction of these new measurements, new reporting guidelines have been developed to ensure that all proper information about the methodologies and data quality is given.

[1]  C. Johansson,et al.  Particulate emissions from residential wood combustion in Europe - revised estimates and an evaluation , 2014 .

[2]  K. Yttri,et al.  Modelling of organic aerosols over Europe (2002--2007) using a volatility basis set (VBS) framework: application of different assumptions regarding the formation of secondary organic aerosol , 2012 .

[3]  M. Gauß,et al.  The EMEP MSC-W chemical transport model -- technical description , 2012 .

[4]  Wenche Aas,et al.  Introduction to the European Monitoring and Evaluation Programme (EMEP) and observed atmospheric composition change during 1972–2009 , 2012 .

[5]  M. Gauß,et al.  The EMEP MSC-W chemical transport model - Part 1: Model description , 2012 .

[6]  A. Stohl,et al.  Source apportionment of the summer time carbonaceous aerosol at Nordic rural background sites , 2011 .

[7]  A.J.H. Visschedijk,et al.  General overview: European Integrated project on Aerosol Cloud Climate and Air Quality interactions (EUCAARI) - integrating aerosol research from nano to global scales , 2011 .

[8]  D. Simpson,et al.  Source apportionment of carbonaceous aerosol in southern Sweden , 2011 .

[9]  M. Sofiev,et al.  Modelling of sea salt concentrations over Europe: key uncertainties and comparison with observations , 2011 .

[10]  J. Christensen,et al.  Spatial and temporal variations in ammonia emissions – a freely accessible model code for Europe , 2011 .

[11]  S. K. Akagi,et al.  The Fire INventory from NCAR (FINN): a high resolution global model to estimate the emissions from open burning , 2010 .

[12]  C. Reche,et al.  Intense winter atmospheric pollution episodes affecting the Western Mediterranean. , 2010, The Science of the total environment.

[13]  Harald Flentje,et al.  A European aerosol phenomenology 3: Physical and chemical characteristics of particulate matter from 60 rural, urban, and kerbside sites across Europe , 2010 .

[14]  A. Tuzet,et al.  Model of stomatal ammonia compensation point (STAMP) in relation to the plant nitrogen and carbon metabolisms and environmental conditions , 2010 .

[15]  P. DeCarlo,et al.  Characterization of aerosol chemical composition with aerosol mass spectrometry in Central Europe: An overview , 2009 .

[16]  Mar Viana,et al.  Toward a standardised thermal-optical protocol for measuring atmospheric organic and elemental carbon: the EUSAAR protocol , 2009 .

[17]  Michael Cusack,et al.  Variability in regional background aerosols within the Mediterranean , 2009 .

[18]  R. Otjes,et al.  An automated analyzer to measure surface-atmosphere exchange fluxes of water soluble inorganic aerosol compounds and reactive trace gases. , 2009, Environmental science & technology.

[19]  Wenche Aas,et al.  Trends of nitrogen in air and precipitation: model results and observations at EMEP sites in Europe, 1980--2003. , 2008, Environmental pollution.

[20]  Alma Hodzic,et al.  A model inter-comparison study focussing on episodes with elevated PM10 concentrations , 2008 .

[21]  E. Renner,et al.  Simulationen zur Episode hoher Schwebstaubkonzentrationen im Januar und Februar 2006 , 2008 .

[22]  Z. Klimont,et al.  Modeling of elemental carbon over Europe , 2007 .

[23]  Kaarle Kupiainen,et al.  Modeling carbonaceous aerosol over Europe: Analysis of the CARBOSOL and EMEP EC/OC campaigns , 2007 .

[24]  Allen L Robinson,et al.  Rethinking Organic Aerosols: Semivolatile Emissions and Photochemical Aging , 2007, Science.

[25]  Sönke Szidat,et al.  Dominant impact of residential wood burning on particulate matter in Alpine valleys during winter , 2007 .

[26]  Z. Klimont,et al.  Primary emissions of fine carbonaceous particles in Europe , 2007 .

[27]  Katrin Fuhrer,et al.  Field-deployable, high-resolution, time-of-flight aerosol mass spectrometer. , 2006, Analytical chemistry.

[28]  S. Tsyro To what extent can aerosol water explain the discrepancy between model calculated and gravimetric PM 10 and PM 2.5 , 2004 .

[29]  Angel Lopez-Soler,et al.  Monitoring of atmospheric particulate matter around sources of secondary inorganic aerosol , 2004 .

[30]  Boštjan Gomišček,et al.  On the equivalence of gravimetric PM data with TEOM and beta-attenuation measurements , 2004 .

[31]  Peter Wåhlin,et al.  A European aerosol phenomenology—1: physical characteristics of particulate matter at kerbside, urban, rural and background sites in Europe , 2004 .

[32]  Xavier Querol,et al.  PM10 and PM2.5 source apportionment in the Barcelona Metropolitan area, Catalonia, Spain , 2001 .

[33]  J. Chow,et al.  Results of the "Carbon Conference" International Aerosol Carbon Round Robin Test Stage I , 2001 .

[34]  Kenneth A. Smith,et al.  Development of an Aerosol Mass Spectrometer for Size and Composition Analysis of Submicron Particles , 2000 .

[35]  A. Venkatram,et al.  The electrical analogy does not apply to modeling dry deposition of particles , 1999 .

[36]  D. Simpson,et al.  Comparison of the chemical schemes of the EMEP MSC-W and IVL photochemical trajectory models , 1999 .

[37]  C. Pio,et al.  Chlorine loss from marine aerosol in a coastal atmosphere , 1998 .

[38]  J. Seinfeld,et al.  Atmospheric Chemistry and Physics: From Air Pollution to Climate Change , 1998 .

[39]  Kenneth A. Smith,et al.  Aerosol mass spectrometer for size and composition analysis of submicron particles , 1998 .

[40]  Y. Chan,et al.  Characterisation of chemical species in PM2.5 and PM10 aerosols in Brisbane, Australia , 1997 .

[41]  R. Hillamo,et al.  Distribution of nitrate over sea-salt and soil derived particles — Implications from a field study , 1996 .

[42]  F. Binkowski,et al.  The Regional Particulate Matter Model 1. Model description and preliminary results , 1995 .

[43]  Ernie Weijers,et al.  Illustrating the benefit of using hourly monitoring data on secondary inorganic aerosol and its precursors for model evaluation , 2010 .

[44]  Gerald Spindler,et al.  A four-year size-segregated characterization study of particles PM10, PM2.5 and PM1 depending on air mass origin at Melpitz , 2010 .

[45]  G. Leeuw,et al.  EUSAAR: an unprecedented network of aerosol observation in Europe (特集 山岳大気エアロゾル研究) , 2009 .

[46]  Christoph Hueglin,et al.  Source attribution of submicron organic aerosols during wintertime inversions by advanced factor analysis of aerosol mass spectra. , 2008, Environmental science & technology.

[47]  J. Huntzicker,et al.  Vapor adsorption artifact in the sampling of organic aerosol: Face velocity effects , 1986 .

[48]  © Author(s) 2007. This work is licensed under a Creative Commons License. Atmospheric Chemistry and Physics Elemental and organic carbon in PM10: a one year measurement campaign within the European Monitoring and Evaluation , 2022 .