1
Heikki Junninen, Covadonga Astorga-Llorens, Vittorio Forcina, Anne Müller and Bo Larsen
Institute for Environment and Sustainability (IES)Ispra, Italy
Emissions &Health Unit
PARTICULATE MATTER AND POLYAROMATIC COMPOUNDS IN AIR OVER ATHENS DURING THE BOND SUMMER
CAMPAIGN, JUNE 2003
2
14d (red) & 14n(blue)
24'
36' 4 8 ' 24
oE
1 2 '
40'
50'
38oN
10'
20'
Tatoi
Eleusina
Ellinko
Nea Philadelphia
Spata
10 m s-1
23d (red) & 23n(blue)
4 8 ' 24
oE
1 2 '
Tatoi
Eleusina
Ellinko
Nea Philadelphia
Spata
10 m s-1
Meteorological Conditions
14.06 Synoptic wind Land-breeze/sea-breeze 23.06
3
http://www.arl.noaa.gov/ready.html
Back trajectories14.06 Synoptic wind Land-breeze/sea-breeze 23.06
24'
36' 48' 24
oE
12'
40'
50'
38oN
10'
20'
Night
24'
36' 48' 24
oE
12'
40'
50'
38oN
10'
20'
Day
24'
36' 48' 24
oE
12'
40'
50'
38oN
10'
20'
Day
24'
36' 48' 24
oE
12'
40'
50'
38oN
10'
20'
Night
4
PM10 concentrations
EU 24h limit value
(50 g/m3)
0.0
20.0
40.0
60.0
80.0
100.0
120.0
night 12.06 day 12.06 night 13.06 day 13.06 night 14.06 day 14.06 night 15.06 day 15.06 night 16.06 day 16.06 night 17.06 day 17.06 night 18.06 day 18.06 night 19.06 day 19.06 night 20.06 day 20.06 night 21.06 day 21.06 night 22.06 day 22.06 night 23.06 day 23.06 night 24.06 day 24.06 night 25.06 day 25.06night 26.06day 26.06
Concentration [ug/m3]
Land/Sea breeze
5
Analytical procedure for atmospheric and emission profile samples
6
Polyaromatic hydrocarbons in Athens
0
10
20
30
40
50
60[ng/mg PM]
AcNylAcNFPhenAFlPB(a)AChrB(b)FlB(k)FlB(a)PInd(123cd)PdiB(ah)AB(ghi)Per
14N 14D 16N 16D 17N 17D 21N 21D 22N 22D 23N 23D 24N 24D 25N 25D0
10
20
30
40
50
60Background
City center
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Positive Matrix Factorization
• First paper by Paatero in 1994 and most resent 2004
• X = GF + E, X - data matrix, G - scores, F - loadings, E - unexplained part of X
• Point-by-point least square fit of components so that the non-negative constraint and weighting of the data points are used.
• Correlation matrix is not used
• Objective is to minimise Q:
Factor analysis
Multilinear Engine (ME2)
• Table-driven least squares program for solving multilinear problems
• PMF model was done using ME2 scripting language
€
Q =i+1
n
∑eij
2
sij2
j +1
m
∑ eij - estimated error for data value in sample i and compound j
sij - residual
• Estimated errors are iteratively re-evaluated
• Limits for high and low concentration outliers were used
8
Error estimation
Error for compound j in sample i for PMF model
ij
ijj C
ijs Φ+Λ= 2.0
Λj – Detection limit of compound jCij – Concentration of compound j in sample iΦij – Partition of compound j in particulate phase in sampling temperature of sample iKp – Temperature corrected partitioning coefficientCPM – Concentration of PMPLs
O – Temperature corrected subcooled liquid vapor pressurem, b – Constants (Fernández et al. Environ. Sci. Technol. 2002,36, 1162-1168)
Ts – Sampling temperature
bpmKp oLs += loglog
( )11loglog −−Δ −+= sRHo
LoLs TTpp( )PM
PM
KpCKpC+=Φ 1
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Partitioning of PAH in sampling conditions
1 2 3 4 5 6 7 8 9 10 11 12 13 14 150
0.25
0.5
0.75
1Vehicle testingAtmospheric sampling 1. AcNyl
2. AcN 3. F 4. Phen 5. A 6. Fl 7. P 8. B(a)A 9. Chr10. B(b)Fl11. B(k)Fl12. B(a)P13. Ind(123cd)P14. diB(ah)A15. B(ghi)Per
Φ
10
14D 16D 17D 21D 22D 23D 24D 25D0
2
4
6
8
10
12
14
16
18
20[ng/mg PM]
Source contributions
Total PAH
B(a)A Chr B(b)Fl B(k)Fl B(a)P Ind(123cd)P diB(ah)A B(ghi)Per
Measured profiles
1 2 3
PMF factors
HD diesel LD gasol 1 LD gasol 2
Measured profiles
PMF Factors
Step 1: City center day samples, random initialization of profiles
11
Step 2: City center night samples, fixed initial profiles
14N 16N 17N 21N 22N 23N 24N 25N0
5
10
15
20
25
30
35
40
45
50 [ng/mg PM]
Source contributions
Total PAH
B(a)A Chr B(b)Fl B(k)Fl B(a)P Ind(123cd)P diB(ah)A B(ghi)Per
Measured profiles
1 2 3
PMF factors
Measured profiles
PMF Factors
HD diesel LD gasol 1 LD gasol 2
12
Step 3: City center night samples, 3 fixed and 1 random profile
14N 16N 17N 21N 22N 23N 24N 25N0
5
10
15
20
25
30
35
40
45
50 [ng/mg PM]
Source contributions
Total PAH
B(a)A Chr B(b)Fl B(k)Fl B(a)P Ind(123cd)P diB(ah)A B(ghi)Per
Measured profiles
1 2 3 4
PMF factors
Measured profiles
PMF Factors
HD diesel Gasol 1 Gasol 2 GasolMet
13
Source contributions
14N 14D 16N 16D 17N 17D 21N 21D 22N 22D 23N 23D 24N 24D 25N 25D0
10
20
30
40
50 [ng/mg PM]
14N 14D 16N 16D 17N 17D 21N 21D 22N 22D 23N 23D 24N 24D 25N 25D0
10
20
30
40
50 [ng/mg PM]
Source contribution in background
Total PAHDieselGasoline 1Gasoline 2Gasoline+Meteo
Source contribution in city site
Source contribution in background site
Land/Sea breeze
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Summary
• Particulate phase PAHs over the city of Athens are mostly traffic related.
• Gasoline powered vehicles dominating the distribution, but their influence might be over estimated because of the higher portion of heavy PAH in their emissions.
• Sampling conditions for environmental and source profile sampling should be closer to each other.
• PMF is a powerful tool for source apportionment with capability of capturing profile changes caused by meteorology or chemistry