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DELTA Tool Testing for Air Quality in Porto – Insights and Benchmarks from Portugal

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The DELTA tool's effectiveness in monitoring air quality was analyzed during the WG2 meeting in Norrköping, focusing on Porto's 2006 data. This study utilized O3, PM10, and NO2 from monitoring stations with over 90% efficiency. The findings shed light on spatial resolution, data preparation, and the necessity for benchmarks tailored to geographic complexities. Additionally, the anticipated next steps include applying DELTA for annual simulations across five European cities. The guide emphasizes installation, configuration, and data exploration techniques for optimal results.

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DELTA Tool Testing for Air Quality in Porto – Insights and Benchmarks from Portugal

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  1. DELTA tooltestingfor a PortugueseCity Ana Miranda and Helena Martins Universityof Aveiro, Portugal WG2 Meeting, SG4 Models Benchmarking SMHI, Norrkoping, 14th June 2011

  2. Installation /download • simple installation process • the needed side tools and where they can be downloaded should be mentioned earlier in the User’s Guide • Preparation of input files

  3. Case-study – Porto 2006 - monitoring data Airqualitymonitoringstationswithefficiency >90% in 2006: O3 - 8 PM10 - 6 NO2 - 6 PM10 daily LV exceedances

  4. Case-study – Porto 2006 - modelling data MM5-CAMx simulationdomains • D3 : 1km x 1kmspatialresolution • binaryCAMx output files • post-processingconversion to ascii • csv_to_modeltype.sav • check_io_preproc.sav

  5. Installation /download • Preparation of input files • Configuration

  6. Installation /download • Preparation of input files • Configuration • Exploration

  7. Exploration – O3 8-hour daily max – scatter mean stations

  8. Exploration – O3 8-hour daily max – all values VILA NOVA DA TELHA LEÇA DO BALIO • general over-estimationof O3 8-hour dailymaximum • under-estimation for peakconcentrations

  9. Exploration – O3 8-hour daily max – Taylor diagram • correlationcoeficientsbetween 0.5 and 0.8 • CRMSE < 0.4 • STD < 0.6

  10. Exploration – O3 8-hour daily max – Bugle diagram • MFB : 3 monitoringstationsoutsidethecriterialine • MFE: allstationsmeetthegoalorcriteria

  11. Exploration – O3 8-hour daily max – Target diagram • troubleintheinterpretation (namelythe r lines)

  12. Exploration – PM10 daily mean – scatter mean stations

  13. Exploration – PM10 daily mean – all values ANTAS BOAVISTA • ANTAS: hability to simulate some of the peak concentrations • BOAVISTA: unnable to simulate peak concentrations

  14. Exploration – PM10 daily mean – Taylor diagram • correlationcoeficientsbetween 0.3 and 0.7 • STD > 0.8

  15. Exploration – PM10 daily mean – Bugle diagram • allstationsmeetthegoalorcriteria

  16. Exploration – PM10 daily mean – Target diagram • troubleintheinterpretation (namelythe r lines) • seems to indicate a worst performance thanexpectedaccording to thepreviousdiagrams

  17. Installation /download • Preparation of input files • Configuration • Exploration • Benchmarking

  18. Benchmarking

  19. Questionnaire • The statistical indicators selected for the performance report are suitable and complete • Difficulty in defining different performance criteria for different scales and pollutants • Values for performance goals (and criteria) should be geographically dependent ex. areas of complex topography; countries at different development stages (different levels of information) • Should the DELTA tool include directions regarding the minimum number of stations and the type of stations for model evaluation? • Should a minimum spatial resolution be defined?

  20. Next steps... • Test DELTA for 5 European cities annual simulations with CAMx (200 m spatial resolution) and URBAIR (2nd generation gaussian model, 100 m spatial resolution) • Joint FAIRMODE exercise

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