1 limitations of current air quality data in europe? frank de leeuw real time pollution data...
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Limitations of current Limitations of current air quality data in Europe?air quality data in Europe?
Frank de LeeuwFrank de Leeuw
Real time pollution data exchange Real time pollution data exchange and forecast in Europeand forecast in Europe
Copenhagen, 7-8 April 2005Copenhagen, 7-8 April 2005
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LimitationsLimitations
• Cannot measure in the future• Cannot redo measurements in the past
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Are costs a limitation?Are costs a limitation?
• Monitoring costs: 3000 stations• Running costs 30-55 k€/a• Investment cost 10 k€/a• total costs 120-200 M€ about 0.50 € per capita • Emission control costs: 31.7 B€ (2000) 73-135 B€ (2020)
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ShortcomingsShortcomings
Depends on:• What• Where• When• How accurate
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What is (easily) available?What is (easily) available?
On line European datasets:• AIRBASE: all FWD-pollutants (& more); 2000
stations • EMEP: S, N, Ox, POP, HM; 100 stations• CAMP: N, POP, HM; 30 stations• HELCOM: POP, HM (included in EMEP)
• Shortcoming: time lag of 15 – 27 months
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What is where available?What is where available?
SO2 stations2003
AirBase
Benzene stations2003
AirBase
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What is where available?What is where available?
Shortcoming re. spatial coverage: • only landbased• highly variable per country & pollutant
number of O3 stations / 1000 km2; 2003
0
0.5
1
1.5
2
2.5
3
3.5
AT
BA
BE
BG
CH
CY CZ
DE
DK
EE
ES FI
FR
GB
GR
HU IE IS IT LT LV MK
MT
NL
NO PL
PT
RO
SE SI
SK
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What is when available?What is when available?
• Episodic data (situation 2003):%-age valid data per year
0
20
40
60
80
100
SO2 O3 NO2 PM10
perc
enta
ge >75
>85
>90
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What is when availableWhat is when available
• Long time series show gaps:
NO2
0
400
800
1200
1600
2000
2400
1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003
# st
atio
ns
SO2
0
400
800
1200
1600
2000
1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003
# st
atio
ns
O3
0
400
800
1200
1600
2000
1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003
# st
atio
ns
PM10
0
400
800
1200
1600
2000
1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003
# st
atio
ns
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How accurate?How accurate?• Depends on assessments
• Spatial scale
station concentration as ratio of urban mean, SOMO35, 2002
0.50
0.75
1.00
1.25
1.50
1.75
2.00
REIMS
GRAZ
STRASBOURG
BREMEN
BRUXELLES
HAMBURG
WEST M
IDLANDS
ATHINAI
LONDON
PARIS
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How accurate?How accurate?
• Depends on assessments• Problems with detection limit vs target or
effect levelAs in precipitation
0
1
2
3
4
5
11-4-95 23-8-96 5-1-98 20-5-99 1-10-00 13-2-02
con
cen
trat
ion
(u
g/l)
source: CAMP network
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How to solve shortcomings?How to solve shortcomings?
• Shorten time lag• Submission deadline 1 April (now 1 October)?
• Fill gaps in time• Recommend countries to submit historical data
• Fill gaps in space• better reporting: not all stations report under the
EoI• improve information content of networks
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How to solve shortcomings?How to solve shortcomings?
• Fill gaps in space: • Interpolation techniques• Co-kriging with model or
satellite data• Data assimilation or
Kalman filtering
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Conclusions: Are there limitations?Conclusions: Are there limitations?
• Yes, two unavoidable limitations• But also some shortcomings which can
be remedied by• Improving reporting cycle• Optimalisation of networks• Improve analytical methods• New interpolation/assimilation techniques