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INSPIRE Conference 2018September 21, 2018, Antwerp
StrawbAIRriesfor a betterAir Quality
Roeland [email protected]
Conventional monitoring of air pollution
Intro - Particulate matter – AIRbezen – Results – AIRbezen+ - Conclusions
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Biomonitoring
Intro - Particulate matter – AIRbezen – Results – AIRbezen+ - Conclusions
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Biomonitoring
Intro - Particulate matter – AIRbezen – Results – AIRbezen+ - Conclusions
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Particulate matter
Intro - Particulate matter – AIRbezen – Results – AIRbezen+ - Conclusions
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Particulate matter
Intro - Particulate matter – AIRbezen – Results – AIRbezen+ - Conclusions
Composition
- magnetisable (iron containing) dust particles
- different sources
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Traffic related metals
-Iron soil dustabrasion vehicules
Bron: VMM
Calm
Intensive
Intro - Particulate matter – AIRbezen – Results – AIRbezen+ - Conclusions
newslocker.com
Intro - Particulate matter – AIRbezen – Results – AIRbezen+ - Conclusions
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Pre-AIRbezen
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Intro - Particulate matter – AIRbezen – Results – AIRbezen+ - Conclusions
Birth of AIRbezen
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Intro - Particulate matter – AIRbezen – Results – AIRbezen+ - Conclusions
Aim of AIRbezen
Estimate the spatial distribution of particularly traffic-related air pollution in the city of Antwerp by means ofstrawberry plants which are placed and threathed by thecitizens of Antwerp
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Intro - Particulate matter – AIRbezen – Results – AIRbezen+ - Conclusions
Aim of AIRbezen
Project based on a collaboration between volunteers,University of Antwerp and citizens of Antwerp
Project without specific budget
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Intro - Particulate matter – AIRbezen – Results – AIRbezen+ - Conclusions
Measuring methodology
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Intro - Particulate matter – AIRbezen – Results – AIRbezen+ - Conclusions
AIRbezen-facts
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Intro - Particulate matter – AIRbezen – Results – AIRbezen+ - Conclusions
AIRbezen-results
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Intro - Particulate matter – AIRbezen – Results – AIRbezen+ - Conclusions
AIRbezen-impressies
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AIRbezen-results: height-effect
• Decrease traffic-related air pollution with height
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0
50
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150
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250
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350
400
450
500
4 7.6 11
SIR
M (
x10
-6 A
)
0
10
20
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40
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60
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80
90
2.3 5 6
SIR
M (
x10
-6 A
)
Intro - Particulate matter – AIRbezen – Results – AIRbezen+ - Conclusions
• Urban background: 10 µA (wide, open streets with a lotof ventilation away from traffic)
• Mean value: ± 60 µA
• Highest value: ± 400 µA
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Terlindenhofstraat, Merksem Herentalsebaan, Deurne
AIRbezen-results: height selection
Intro - Particulate matter – AIRbezen – Results – AIRbezen+ - Conclusions
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3-6 m without train/tram
AIRbezen-results
Intro - Particulate matter – AIRbezen – Results – AIRbezen+ - Conclusions
AIRbezenDrimmelen
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Intro - Particulate matter – AIRbezen – Results – AIRbezen+ - Conclusions
AIRbezenSpain
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Intro - Particulate matter – AIRbezen – Results – AIRbezen+ - Conclusions
Citizen science and air quality monitoring: European level
Intro - Particulate matter – AIRbezen – Results – AIRbezen+ - Conclusions
Baldacchini et al. Environmental Science and Technology (2017)
Intro - Particulate matter – AIRbezen – Results – AIRbezen+ - Conclusions
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Intro - Fijn stof – Verkeer – Meetmethode – Resultaten – Conclusies
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Sto
fafz
ett
ing
0
20
40
60
80
100
Binnen Ring Buiten Ring
Intro - Particulate matter – AIRbezen – Results – AIRbezen+ - Conclusions
Inside Ring Outside Ring
Du
st d
epo
siti
on
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Afstand van Ring
-2500 -2000 -1500 -1000 -500 0 500 1000 1500 2000
Sto
fafz
ett
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140 Centrum Buiten
Intro - Particulate matter – AIRbezen – Results – AIRbezen+ - Conclusions
Du
st d
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Distance from Ring
Outside RingCity center
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Straattypes
Verkeersvrij Hoofdstraat Residentieel
Sto
fafz
ett
ing
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20
40
60
80
100
120
140
160
Binnen Ring
Buiten Ring
Intro - Particulate matter – AIRbezen – Results – AIRbezen+ - Conclusions
Du
st d
epo
siti
on
Type of street
No traffic Main street Residential
Inside Ring
Outside Ring
Intro - Particulate matter – AIRbezen – Results – AIRbezen+ - Conclusions
Oost-Vlaanderen
www.AIRbezen.be
PLANTS COMMUNI-TIES
ANALYSES
RESULTS ENQUIRY
Intro - Particulate matter – AIRbezen – Results – AIRbezen+ - Conclusions
Who participated?
Age category oldest adult (n = 6461)
Intro - Particulate matter – AIRbezen – Results – AIRbezen+ - Conclusions
Who particpated?
Level of education of oldest adult (n = 6391)
No
Primary school
Secondary school
High school
University
PhD
Other
Intro - Particulate matter – AIRbezen – Results – AIRbezen+ - Conclusions
Mobility of participants
Use of car (n = 6653)
Daily
4-6 times a week
1-3 times a week
Less than once a week
Seldom (less than once a
month)
Never
Intro - Particulate matter – AIRbezen – Results – AIRbezen+ - Conclusions
Mobility participants
bus – tram – metro (n = 6653)
Daily
4-6 times a week
1-3 times a week
Less than once a week
Seldom (less than once a month)
Never
Intro - Particulate matter – AIRbezen – Results – AIRbezen+ - Conclusions
Health participants
Does at least one of the family members suffer
from respiratory problems? (n = 6653)
Yes
No
I do not know
I do not wish to answer
Intro - Particulate matter – AIRbezen – Results – AIRbezen+ - Conclusions
Intro - Particulate matter – AIRbezen – Results – AIRbezen+ - Conclusions
Traffic and air quality
What is major source of bad air quality during the
entire year? (n = 6653)
RESULT MEASUREMENTS
Intro - Particulate matter – AIRbezen – Results – AIRbezen+ - Conclusions
Analyses: Estimated traffic intensity
Intro - Particulate matter – AIRbezen – Results – AIRbezen+ - Conclusions
Analyses: Estimated air quality
Intro - Particulate matter – AIRbezen – Results – AIRbezen+ - Conclusions
Analyses: health
Intro - Particulate matter – AIRbezen – Results – AIRbezen+ - Conclusions
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Intro - Particulate matter – AIRbezen – Results – AIRbezen+ - Conclusions
Air Quality in Flanders worse thanexpected13/01/2018
• No direct link with used AQ standards
• Some social groups do not participate
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Intro - Particulate matter – AIRbezen – Results – AIRbezen+ - Conclusions
• Citizens are really concerned
• Motorised traffic: pollution
• Clear decrease traffic-related air pollution with distance
• Depends on local situation
• much larger variation than observed by classsic airmonitoring stations → need for measuring specificcomponents and toxicity
• Need for basic data: traffic
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Intro - Particulate matter – AIRbezen – Results – AIRbezen+ - Conclusions
• Easy
• Win-win + emotion
• Communication (pre / during / post)
• Citizens realised unique sampling campaign
• Enormous awareness rising
• Enormous impact on society and policy-makers
• Citizens can provide meaningful data
• Subjective data seems to be meaningful
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Intro - Particulate matter – AIRbezen – Results – AIRbezen+ - Conclusions
• Very intense time investment: post
• Financial support
• BAT
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Intro - Particulate matter – AIRbezen – Results – AIRbezen+ - Conclusions