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DEA - Università degli Studi di Brescia
Aerosol long term simulation using TCAM model
C. Carnevale, G. Finzi, E. Pisoni, M. Volta
Department for Electronics and Automation
University of Brescia
DEA - Università degli Studi di Brescia
Index
1. The GAMES modelling system
2. The Transport Chemical Aerosol Model
3. The CityDelta III base case simulation
4. Chemical composition of simulated PM10
5. Conclusion
DEA - Università degli Studi di Brescia
The Gas Aerosol Modelling Evaluation System (GAMES)
Land useTopography MM5
output
MeterologicalPre-processor
TCAM
Continental modeloutput
Initial andBoundary condition
Pre-processors
Boundary andInitial condition
3D concentrationfields
EmissionModel
Emission inventories
Emission Fields
3D wind and temperature fields Turbolence and Boundary Layer parameters
VOC speciationProfiles
TemporalProfiles
SystemEvaluation
Tool
DEA - Università degli Studi di Brescia
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
DEA - Università degli Studi di Brescia
TCAM (Transport and Chemical Aerosol Model):Gas chemical module
• Chemical Mechanism
– CBIV 90
– SAPRC 90/97
– COCOH 97
• Numerical Solver
– QSSA (explicit)
– IEH (hybrid)
• Species: 95 • Reactions: 187
• Fast-Species (12): LSODE (implicit)
• Slow-Species: Adams-Bashforth (explicit)
DEA - Università degli Studi di Brescia
• Chemical Species: 21– 12 inorganics– 9 organics
• Size Classes: 10 (da 0.01 m a 50 m)– Fixed moving approach
• Involved Phenomena:– Condensation/Evaporation– Nucleation
– SO2 aqueus chemistry
TCAM (Transport and Chemical Aerosol Model):Aerosol module
Shell
Core
DEA - Università degli Studi di Brescia
CDIII base case simulation: computational domain
• 300x300 km2
• Horizontal resolution: 5x5 km2
• Vertical resolution: 11 varying thickness levels– 1st level: 20m
• Simulation year: 2004
400 450 500 550 600 650
4900
4950
5000
5050
5100
5150
MI LANO
GENOVA
TRENTO
VERONA
PI ACENZA
MODENA
BRESCI A
VARESE
BERGAMO
SONDRI O
PARMA
NOVARA
ALESSANDRI A
0
200
400
600
800
1000
1200
1400
1600
1800
2000
2200
2400
2600
2800
3000
(m asl)
X U TM (km )
Y U
TM
(km
)
DEA - Università degli Studi di Brescia
CDIII base case simulation: Gas emission fields
VOC
NOx
NH3
SOx
MI LANO
GENOVA
TRENTO
VERONA
PI ACENZA
MODENA
BRESCI A
VARESE
BERGAMO
SONDRI O
PARMA
NOVARA
ALESSANDRI A
400 450 500 550 600 650
4900
4950
5000
5050
5100
5150
0
500
1000
1500
2000
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3000
3500
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4500
5000
5500
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6500
MI LANO
GENOVA
TRENTO
VERONA
PI ACENZA
MODENA
BRESCI A
VARESE
BERGAMO
SONDRI O
PARMA
NOVARA
ALESSANDRI A
400 450 500 550 600 650
4900
4950
5000
5050
5100
5150
020406080100120140160180200220240260280300320340360380400420
MI LANO
GENOVA
TRENTO
VERONA
PI ACENZA
MODENA
BRESCI A
VARESE
BERGAMO
SONDRI O
PARMA
NOVARA
ALESSANDRI A
400 450 500 550 600 650
4900
4950
5000
5050
5100
5150
0
200
400
600
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1000
1200
1400
1600
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2200
2400
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3000
3200
3400
3600
MI LANO
GENOVA
TRENTO
VERONA
PI ACENZA
MODENA
BRESCI A
VARESE
BERGAMO
SONDRI O
PARMA
NOVARA
ALESSANDRI A
400 450 500 550 600 650
4900
4950
5000
5050
5100
5150
0
100
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400
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600
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1000
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1200
1300
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1600
1700
1800
DEA - Università degli Studi di Brescia
CDIII base case simulation:PM emission fields
MI LANO
GENOVA
TRENTO
VERONA
PI ACENZA
MODENA
BRESCI A
VARESE
BERGAMO
SONDRI O
PARMA
NOVARA
ALESSANDRI A
400 450 500 550 600 650
4900
4950
5000
5050
5100
5150
020406080100120140160180200220240260280300320340360380400420
MI LANO
GENOVA
TRENTO
VERONA
PI ACENZA
MODENA
BRESCI A
VARESE
BERGAMO
SONDRI O
PARMA
NOVARA
ALESSANDRI A
400 450 500 550 600 650
4900
4950
5000
5050
5100
5150
0
20
40
60
80
100
120
140
160
180
200
220
240
260
280
300
320
340
360
380
PM10 PM2.5
DEA - Università degli Studi di Brescia
CDIII base case simulation:Monitoring station
400 450 500 550 600 650
4900
4950
5000
5050
5100
5150
TORI NO
MI LANO
GENOVA
TRENTO
VERONA
PI ACENZA
MODENA
BRESCI A
VARESE
BERGAMO
SONDRI O
PARMA
NOVARA
ALESSANDRI A
Verziere
Vim ercate
Lim ito
Osio
RezzatoJ uvaraMagenta
Saronno
0
200
400
600
800
1000
1200
1400
1600
1800
2000
2200
2400
2600
2800
3000
(m asl)
X U TM (km )
Y U
TM
(km
)
StationYearly
Mean
Winter
Mean
Summer
Mean
Osio 42.79 57.83 28.00
Vimercate 42.31 53.64 29.33
Rezzato 49.11 62.13 33.68
Juvara 50.98 61.92 34.41
Limito 43.19 59.62 29.96
Magenta 49.29 59.54 34.07
Verziere 51.83 62.62 37.07
DEA - Università degli Studi di Brescia
CDIII base case simulation:Yearly Performance
01020304050607080
Osi
o
Vim
erca
te
Rez
zato
Juva
ra
Lim
ito
Mag
enta
Ver
zier
e
OBS TCAM
0255075
100125150
Osi
o
Vim
erca
te
Rez
zato
Juva
ra
Lim
ito
Mag
enta
Ver
zier
e
OBS TCAM
0
0.25
0.5
0.75
1
Osi
o
Vim
erca
te
Rez
zato
Juva
ra
Lim
ito
Mag
enta
Ver
zier
e
-1-0.75
-0.5-0.25
00.25
0.50.75
1
Osi
o
Vim
erca
te
Rez
zato
Juva
ra
Lim
ito
Mag
enta
Ver
zier
e
Mean95thPerc
Correlation NBIAS
DEA - Università degli Studi di Brescia
CDIII base case simulation:Winter Performances
0
20
40
60
80
100
Osi
o
Vim
erca
te
Rez
zato
Juva
ra
Lim
ito
Mag
enta
Ver
zier
e
OBS TCAM
0255075
100125150175
Osi
o
Vim
erca
te
Rez
zato
Juva
ra
Lim
ito
Mag
enta
Ver
zier
e
OBS TCAM
0
0.25
0.5
0.75
1
Osi
o
Vim
erca
te
Rez
zato
Juva
ra
Lim
ito
Mag
enta
Ver
zier
e
-0.75-0.5
-0.250
0.250.5
0.75
Osi
o
Vim
erca
te
Rez
zato
Juva
ra
Lim
ito
Mag
enta
Ver
zier
e
Mean95thPerc
Correlation NBIAS
DEA - Università degli Studi di Brescia
CDIII base case simulation:Summer Performances
01020304050
Osi
o
Vim
erca
te
Rez
zato
Juva
ra
Lim
ito
Mag
enta
Ver
zier
e
OBS TCAM
0
25
50
75
100
Osi
o
Vim
erca
te
Rez
zato
Juva
ra
Lim
ito
Mag
enta
Ver
zier
e
OBS TCAM
0
0.25
0.5
0.75
1
Osi
o
Vim
erca
te
Rez
zato
Juva
ra
Lim
ito
Mag
enta
Ver
zier
e
-0.75-0.5
-0.250
0.250.5
0.75
Osi
o
Vim
erca
te
Rez
zato
Juva
ra
Lim
ito
Mag
enta
Ver
zier
e
Mean95thPerc
Correlation NBIAS
DEA - Università degli Studi di Brescia
CDIII base case simulation:PM10 concentration maps
T O R I N O
M I L A N O
G E N O V A
T R E N T O
V E R O N A
P I A C E N Z A
M O D E N A
B R E S C I A
V A R E S E
B E R G A M O
S O N D R I O
P A R M A
N O V A R A
A L E S S A N D R I A
4 0 0 4 5 0 5 0 0 5 5 0 6 0 0 6 5 0
4 9 0 0
4 9 5 0
5 0 0 0
5 0 5 0
5 1 0 0
5 1 5 0
0
5
1 0
1 5
2 0
2 5
3 0
3 5
4 0
4 5
5 0
5 5
6 0
6 5
7 0
7 5
8 0
8 5
9 0
Year
Winter
Summer
TORI NO
MI LANO
GENOVA
TRENTO
VERONA
PI ACENZA
MODENA
BRESCI A
VARESE
BERGAMO
SONDRI O
PARMA
NOVARA
ALESSANDRI A
400 450 500 550 600 650
4900
4950
5000
5050
5100
5150
TORI NO
MI LANO
GENOVA
TRENTO
VERONA
PI ACENZA
MODENA
BRESCI A
VARESE
BERGAMO
SONDRI O
PARMA
NOVARA
ALESSANDRI A
400 450 500 550 600 650
4900
4950
5000
5050
5100
5150
T O R I N O
M I L A N O
G E N O V A
T R E N T O
V E R O N A
P I A C E N Z A
M O D E N A
B R E S C I A
V A R E S E
B E R G A M O
S O N D R I O
P A R M A
N O V A R A
A L E S S A N D R I A
4 0 0 4 5 0 5 0 0 5 5 0 6 0 0 6 5 0
4 9 0 0
4 9 5 0
5 0 0 0
5 0 5 0
5 1 0 0
5 1 5 0
0
5
1 0
1 5
2 0
2 5
3 0
3 5
4 0
4 5
5 0
5 5
6 0
6 5
7 0
7 5
8 0
8 5
9 0
DEA - Università degli Studi di Brescia
CDIII base case simulation:PM10 yearly chemical composition
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
NW N NE W C E SW S SE
Other
EC+OC
SO4=
NO3-
NH4+
400 450 500 550 600 650
4900
4950
5000
5050
5100
5150
NW N
NE
WC
E
SWS
SE
TORI NO
MI LANO
GENOVA
TRENTO
VERONA
PI ACENZA
MODENA
BRESCI A
VARESE
BERGAMO
SONDRI O
PARMA
NOVARA
ALESSANDRI A
0
200
400
600
800
1000
1200
1400
1600
1800
2000
2200
2400
2600
2800
3000
(m asl)
X UTM (km )
Y U
TM
(km
)
DEA - Università degli Studi di Brescia
CDIII base case simulation:mainly inorganic fraction maps
TORI NO
MI LANO
GENOVA
TRENTO
VERONA
PI ACENZA
MODENA
BRESCI A
VARESE
BERGAMO
SONDRI O
PARMA
NOVARA
ALESSANDRI A
400 450 500 550 600 650
4900
4950
5000
5050
5100
5150
0
0.05
0.1
0.15
0.2
0.25
0.3
0.35
0.4
0.45
0.5
TORI NO
MI LANO
GENOVA
TRENTO
VERONA
PI ACENZA
MODENA
BRESCI A
VARESE
BERGAMO
SONDRI O
PARMA
NOVARA
ALESSANDRI A
400 450 500 550 600 650
4900
4950
5000
5050
5100
5150
0
0.05
0.1
0.15
0.2
0.25
0.3
0.35
0.4
0.45
0.5
NH4+NO3-
DEA - Università degli Studi di Brescia
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
DEA - Università degli Studi di Brescia
Emission pre-processor (UNIBS)
POllutant Emission Model for CDIII (POEM-CDIII) provides hourly base case and scenario emission fields for:
CAMx TCAM
JRC data
Time modulationChemicalcharacterization
Chemical/Sizecharacterization
Gas: CBIV99PM: 2 size bins,
8 chemical species
Gas: COCOH97PM: 6 size bins,
8 chemical species
CESIAMA
DEA - Università degli Studi di Brescia
Boundary pre-processor (CESI)
• Boundy Module provides hourly base case and scenario boundary conditions
Chimere
Gas: 23 speciesPM: 4 size bins
11 chemical species
BOUNDY
TCAM
Gas: 62 speciesPM: 10 size bins
21 chemical species
PM experimental size profiles
DEA - Università degli Studi di Brescia
CDIII base case simulation:PM2.5/PM10 concentration map
MI LANO
GENOVA
TRENTO
VERONA
PI ACENZA
MODENA
BRESCI A
VARESE
BERGAMO
SONDRI O
PARMA
NOVARA
ALESSANDRI A
400 450 500 550 600 650
4900
4950
5000
5050
5100
5150
0.4
0.45
0.5
0.55
0.6
0.65
0.7
0.75
0.8
0.85
0.9
PM2.5/PM10Concentration
PM2.5/PM10Emisison
TORI NO
MI LANO
GENOVA
TRENTO
VERONA
PI ACENZA
MODENA
BRESCI A
VARESE
BERGAMO
SONDRI O
PARMA
NOVARA
ALESSANDRI A
400 450 500 550 600 650
4900
4950
5000
5050
5100
5150
0
0.5
0.75
1
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