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Domain Emissions: City vs EMEP

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Ending. Copenhagen. GMT 1. Starting. Katowice ... Ending (?) Paris. GMT. Ending. Prague. GMT. Starting. Who has looked at monitoring data? Which cities? ... – PowerPoint PPT presentation

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Title: Domain Emissions: City vs EMEP


1
Domain Emissions City vs EMEP
2
City Centre Emissions
3
City vs. domain emissions
NOx Cumulated Emissions
100
80
60
()
Paris Prague Milan London Berlin
40
20
0
40
60
80
0
20
Distance from City Centre (km)
4
Measurement time and hour  
Measurement time hour
  Who has looked at monitoring data? Which
cities?   Monitoring data warnings can be looked
at whats new instead of updating the files
5
Measurement technique
6
  • Series of 3 Graphical Analysis tools
    Measurements, Base case, Deltas
  • Which are inter-dependent
  • To be made available to the City-Delta community
    (to be discussed)
  • Cd_station objectives
  • Overall visualisation of whats available for the
    different cities
  • Visualise main characteristics of each
    city/station
  • Choice of more interesting stations for
    evaluation step
  • Detection of unexpected measurements
  • City/city comparison

7
Validation Selection of 9 stations
  • O3M Station where max O3 (over 6 months) is
    reached
  • O3m Station where the lowest maximum O3 (over
    6 months) is reached
  • MO3M Station where the 6-months mean O3 is
    highest
  • MO3m Station where the 6-months mean O3 is
    lowest
  • PM Stations where PM10 measurements are taken
  • NO2 Higher and Lower annual mean NO2 stations
  • Spatial representativity (NNI)
  • Data Availability
  • Station type diversity (urban-suburban-rural)

8
PM
PM
MO3m
O3m
PM
PM
PM
O3M
PM
PM
PM
O3m
O3 all NO2 all PM2.5 4 10 H mean NO2 3 L
mean NO2 4 7 NNI (0.42 ?0.51)
2 6 close and similar 8 1 close and similar,
11 interesting for NNI
MO3M
9
PM
O3M
PM
PM
PM
MO3m
O3 all except 9 NO2 all PM2.5 None H mean
NO2 7 L mean NO2 15 NNI (0.27 ?0.36)
MO3M
O3m
4 Highest NO2 peak 11 5 for NNI
10
O3 all NO2 all PM2.5 None H mean NO2 2 L
mean NO2 9 NNI (0.62 ?0.57)
O3m
MO3M
PM
PM
MO3m
MO3M
O3M
O3M
O3m
PM
PM
O3m
7 rural station
11
O3M
PM
PM
PM
O3m
O3M
MO3m
O3m
O3 all NO2 all PM2.5 None H mean NO2 11 L
mean NO2 15 NNI (0.942 ?1.12)
O3M
MO3M
12
PM
PM
O3M
O3M
PM
MO3m
PM
PM
O3M
PM
O3 2,4,5,7 NO2 all PM2.5 None H mean NO2 4 L
mean NO2 6 NNI (0.30)
PM
O3M
MO3M
PM
13
PM
PM
PM
MO3m
O3m
PM
PM
PM
PM
O3M
O3 1,4,7,8,9 NO2 all PM2.5 None H mean NO2
1 L mean NO2 7,8 NNI (0.17)
PM
MO3M
O3M
14
PM
O3m
O3M
O3 all except 1 9 NO2 all PM2.5 None H mean
NO2 10 L mean NO2 2 NNI (0.10 ?0.16)
PM
MO3m
10
PM
11
PM
O3m
PM
4 5 similar 1 9 similar
MO3M
15
MO3m
MO3M
O3m
O3M
O3 all NO2 all PM2.5 None H mean NO2 1 L
mean NO2 2 NNI (0.34)
16
City O3 Background-Delta
  • For each station and each day ? compute the max
    O3 conc.
  • For each day diff(day) max(max) min(max)
  • Min(day) min(max)
  • Average over 6 months ? Background Delta

17
City O3 Seasonality
18
City NO2 Background-Delta
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