Aerosol long term simulation using TCAM model

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Aerosol long term simulation using TCAM model

• C. Carnevale, G. Finzi, E. Pisoni, M. Volta
• Department for Electronics and Automation
• University of Brescia

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Index

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

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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
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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

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TCAM (Transport and Chemical Aerosol Model)Gas
chemical module

• Chemical Mechanism
• CBIV 90
• SAPRC 90/97
• COCOH 97
• Numerical Solver
• QSSA (explicit)
• IEH (hybrid)

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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

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CDIII base case simulation computational domain

• 300x300 km2
• Horizontal resolution 5x5 km2
• Vertical resolution 11 varying thickness levels
• 1st level 20m
• Simulation year 2004

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CDIII base case simulation Gas emission fields
VOC
NH3
NOx
SOx
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CDIII base case simulationPM emission fields
PM10
PM2.5
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CDIII base case simulationMonitoring station
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CDIII base case simulationYearly Performance
95th Perc
Mean
Correlation
NBIAS
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CDIII base case simulationWinter Performances
95th Perc
Mean
Correlation
NBIAS
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CDIII base case simulationSummer Performances
95th Perc
Mean
Correlation
NBIAS
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CDIII base case simulationPM10 concentration
maps
Year
Winter
Summer
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CDIII base case simulationPM10 yearly chemical
composition
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CDIII base case simulationmainly inorganic
fraction maps
NO3-
NH4
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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

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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
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Boundary pre-processor (CESI)

• Boundy Module provides hourly base case and
  scenario boundary conditions

Chimere Gas 23 species PM 4 size bins 11
chemical species
TCAM Gas 62 species PM 10 size bins 21
chemical species
BOUNDY
PM experimental size profiles
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CDIII base case simulationPM2.5/PM10
concentration map
PM2.5/PM10 Emisison
PM2.5/PM10 Concentration