Air Quality Assessment for Europe

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Air Quality Assessment for Europe From local to
continental scale The AIR4EU Project Peter
Builtjes  
6th Framework Programme- Policy oriented
Research Priority 8.1 Topic 1.5 Task 2
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• AIR4EU is a EU 6th FP Project in support of the
  CAFE-programme
• AIR4EU started 1-1-2004 and will end 31-12-2006
• Research Partners TNO, NILU, Aristotle Univ.
  Thess., Univ.Stuttgart, Univ. Hertfordshire,
  Univ. Aveiro
• User Partners Paris, Rome, London UK, Prague,
  Athens, Rotterdam/Rijnmond, Olso, (Berlin)

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The Scope of AIR4EU

• To provide recommendations on integrated AQ
  assessment for all relevant temporal and spatial
  scales
• Integrated means here Combining monitoring and
  modelling in order to reduce uncertainties and to
  achieve a more complete picture
• Focus on PM, O3, NO2
• Focus on cities

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Final product of AIR4EU

• A guidance document on best practices for the
  combined use of monitoring and modelling
• Maps of air quality as examples, based on the
  combination of monitoring and modelling
• And also
• AIR4EU Documents and Reports
• Presentations at Conferences
• Double refereed papers

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Major Achievements

• Recommendations for integrated air quality
  assessement on hot spot, urban and regional scale
• Recommendations have been - as far as possible -
  tested in Case Studies with the user partners
• Uncertainty Assessment
• Air quality mapping tool
• Case studies

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Example results Ozone (ppb)
Ozone measurements from the EMEP network
assimilated
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Validation
Vredepeel Assimilation station
Westmaas Validation station
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Validation
335 AIRBASE stations within the domainLarge
improvement in performance
Measured Modelled RMSE Correlation
Model 82.1 83.7 33.3 0.51
Assimilation 82.1 79.8 22.5 0.65
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Case studies (1)
Rotterdam Trend analysis of pollutants for 1995-2005 for Rotterdam
Rotterdam Assessment of regional background contributions for Rotterdam during exceedance periods (PM10)
Rome Review of AQ assessment for PM10 2-wheeler emissions and non-exhaust
Oslo Data assimilation on the urban scale for Oslo
Oslo Data assimilation in open line source modelling parameter and uncertainty estimation
Oslo Source apportionment inverse modelling of PM emissions in an urban area
Prague Data assimilation on the urban scale for Prague
Prague Statistical combination of modelling and monitoring on the urban scale
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Case studies (2)
Paris Review of data assimilation methods
London Traffic management impact
SE England Impact of stack emissions in urban scale modelling
London Uncertainty in AQ assessment in London
Athens Assessment of PM levels and contributions in the Athens region
Europe Data assimilation with a regional scale model homogenous regional background for city assessment
Europe Statistical combination of modelling and monitoring on the European scale
Berlin Assessment of PM10 and NO2 levels in Berlin
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Some final remarks

• The project aimed at recommendations/methods for
  Air Quality Assessment, not evaluation of
  abatement strategies, but the recommendations/meth
  ods are there to be used in such evaluations
• The integration methods are intended to be useful
  in the future for combining modelling and
  monitoring from both ground level and satellites
  GMES
• More details see www.air4eu.nl