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Aerosol long term simulation using TCAM model

Aerosol long term simulation using TCAM model. C. Carnevale , G. Finzi, E. Pisoni, M. Volta Department for Electronics and Automation University of Brescia. Index. The GAMES modelling system The Transport Chemical Aerosol Model The CityDelta III base case simulation

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Aerosol long term simulation using TCAM model

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  1. Aerosol long term simulation using TCAM model C. Carnevale, G. Finzi, E. Pisoni, M. Volta Department for Electronics and Automation University of Brescia

  2. Index • The GAMES modelling system • The Transport Chemical Aerosol Model • The CityDelta III base case simulation • Chemical composition of simulated PM10 • Conclusion

  3. The Gas Aerosol Modelling Evaluation System (GAMES) Emission inventories Land use Topography MM5 output Meterological Pre-processor Emission Model Temporal Profiles 3D wind and temperature fields Turbolence and Boundary Layer parameters Emission Fields Initial and Boundary condition Pre-processors Boundary and Initial condition TCAM VOC speciation Profiles 3D concentration fields Continental model output SystemEvaluation Tool

  4. TCAM (Transport and Chemical Aerosol Model):Transport and Depostion Module • Eulerian 3D model • Terrain-following co-ordinate system • Horizontal Transport Module: chapeau function + forester filter • Vertical Transport Module: Crank-Nicholson hybrid solver based on the vertical diffusivity coefficient • Deposition Module • Dry deposition: resistance-based approach • Wet deposition: scavenging approach for both gas and aerosol species

  5. Species: 95 • Reactions: 187 • Fast-Species (12): LSODE (implicit) • Slow-Species: Adams-Bashforth (explicit) TCAM (Transport and Chemical Aerosol Model):Gas chemical module • Chemical Mechanism • CBIV 90 • SAPRC 90/97 • COCOH 97 • Numerical Solver • QSSA (explicit) • IEH (hybrid)

  6. Shell Core TCAM (Transport and Chemical Aerosol Model):Aerosol module • Chemical Species: 21 • 12 inorganics • 9 organics • Size Classes: 10 (da 0.01 mm a 50 mm) • Fixed moving approach • Involved Phenomena: • Condensation/Evaporation • Nucleation • SO2 aqueus chemistry

  7. CDIII base case simulation: computational domain • 300x300 km2 • Horizontal resolution: 5x5 km2 • Vertical resolution: 11 varying thickness levels • 1st level: 20m • Simulation year: 2004

  8. CDIII base case simulation: Gas emission fields VOC NH3 NOx SOx

  9. CDIII base case simulation:PM emission fields PM10 PM2.5

  10. CDIII base case simulation:Monitoring station

  11. CDIII base case simulation:Yearly Performance 95th Perc Mean Correlation NBIAS

  12. CDIII base case simulation:Winter Performances 95th Perc Mean Correlation NBIAS

  13. CDIII base case simulation:Summer Performances 95th Perc Mean Correlation NBIAS

  14. CDIII base case simulation:PM10 concentration maps Year Winter Summer

  15. CDIII base case simulation:PM10 yearly chemical composition

  16. CDIII base case simulation:mainly inorganic fraction maps NO3- NH4+

  17. Conclusion • Quite good performance in terms of mean values both in winter and summer; • Correlation lower than 0.65 in all the station • CAUSES? • TCAM reproduces reasonably the chemical composition of PM10 • overestimation of ammonium fraction

  18. Emission pre-processor (UNIBS) POllutant Emission Model for CDIII (POEM-CDIII) provides hourly base case and scenario emission fields for: CAMx TCAM CESI AMA JRC data Chemical/Sizecharacterization Chemicalcharacterization Time modulation Gas: CBIV99 PM: 2 size bins, 8 chemical species Gas: COCOH97 PM: 6 size bins, 8 chemical species

  19. Boundary pre-processor (CESI) • Boundy Module provides hourly base case and scenario boundary conditions TCAM Gas: 62 species PM: 10 size bins 21 chemical species Chimere Gas: 23 species PM: 4 size bins 11 chemical species BOUNDY PM experimental size profiles

  20. CDIII base case simulation:PM2.5/PM10 concentration map PM2.5/PM10 Emisison PM2.5/PM10 Concentration

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