On the validity of the incremental approach to calculate the impact - - PowerPoint PPT Presentation
On the validity of the incremental approach to calculate the impact - - PowerPoint PPT Presentation
On the validity of the incremental approach to calculate the impact of cities on air quality Philippe Thunis Athens June 2017 Motivations Determine at which level/scale air quality measures should be taken to abate air pollution in the
- Determine at which level/scale air quality measures should be taken
to abate air pollution in the most efficient manner.
Motivations
- How can we quantify the
contribution of city emissions on its own air pollution?
- Two main approaches:
Incremental CTM scenarios
Urban impact &urban increment
Urban impact &urban increment
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?
- 1. CTM-scenario
- 2. Lenschow
) CTM (
city cf city cf
B B
d C B
rur city cf
Urban impact &urban increment
Urban imoact Urban increment Lenschow City spread Background deviation
d I d B d C I B C
rur cf rur cf rur city cf city cf city
d C C
rur city
city cf rur cf
B d B
d I rur
cf
city cf
I
Urban impact &urban increment
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. . Impact Urb. dev Background city cf rur cf spread city rur cf Increment Urb rur city city cf
B d B d I d C C I
Not measurable Not measurable Measurable
Assumption I: the city spread is negligible
d I rur
cf
The rural background location is far enough from the city not to feel its influence
Assumption II: the background is homogeneous
The city and rural background locations should not be too far from each other
city cf rur cf
B d B
Urban impact &urban increment
How do these components vary
- with distance (d)
- With city fraction (cf)
- With city: Berlin, Paris, London,
Bruxelles
- With pollutant: PM2.5 and NO2
SHERPA
. . Impact Urb. dev Background city cf rur cf spread city rur cf Increment Urb rur city city cf
B d B d I d C C I
SHERPA assessment in 4 cities
12 9 2 2.4 1.1
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12 8 3 5 3.5
City fractions FUA Urban core Inner city
SHERPA assessment in 4 cities
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PM2.5 for cf = FUA
Background deviation Lenschow increment City spread
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PM2.5 for cf = urban core
Background deviation Lenschow increment City spread
) (d B B
rur cf city cf
PM2.5 for cf = inner city
PM2.5 for cf = inner city
Background deviation Lenschow increment City spread
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Summary overviews
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Comparison of obs. and mod. Increments (PM2.5)
Conclusions
The urban increment (LUI) is an appropriate estimate of the urban impact (I) only when two assumptions are fulfilled:
The city spread is negligible The background deviation is negligible
For PM2.5, these two assumptions are never fulfilled for large or medium cities and the LUI underestimates the urban impact by 30 to 50%. Although it works better for NO2 some underestimation is also found for this pollutant.
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Conclusions (cont.)
Given that:
- The urban impact is very sensitive to the size of the city fraction
- The urban increment is very sensitive to distance (d) and location
the urban increment seems to be a poor proxy for estimating the urban impact. Studies based on the incremental approach are very likely to underestimate (heavily for PM2.5) the impact of cities to their air pollution
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