How to measure health relevant indicators? (Ultra)fine particles Jeroen Staelens (VMM; Joaquin)

How to measure health relevant indicators?
(Ultra)fine particles
Jeroen Staelens (VMM; Joaquin)
Susanne Bastian (LfULG; UFIREG)
Tackling tomorrow's air pollution today - a solution oriented approach - 21 May 2014 - Leicester
Outline
Ultrafine particles (UFP)
• Introduction: UFP
• Measurement principles and instruments
• Intra-urban variation (Antwerp; Joaquin)
• Large-scale variation (Central Europe; UFIREG)
• Challenges
• Health relevance
• Conclusions
Introduction
• Air quality and health
•
•
•
•
•
Heavy metals, PAHs, …
Ozone (O3)
Nitrogen dioxide (NO2)
Particulate matter (PM)
…
• Particulate matter
• Mixture of solid and liquid particles in air
• Varying in size, shape, composition, …
(Ultra)fine particles
• Particulate matter
→ µg per m3
• Classified according to size
•
•
•
•
Coarse (PM10)
Fine (PM2.5)
Submicron
Ultrafine
< 10 µm diameter
< 2.5 µm
< 1 µm
< 0.1 µm = 100 nm
• Particle number
→ particles per cm3
• UFP: low mass, high number
• Why measure (ultra)fine particles?
• Novel health-relevant air quality variable
• Health effects demonstrated but not well
understood
http://www.tesa-clean-air.com
(http://www.epa.gov)
Typical urban aerosol
Number
UFP
Surface area
Volume or mass
~ D2
~ D3
(Seinfield and Pandis 2006)
Measuring ultrafine particles in ambient air
• No air quality legislation on UFP
• No standardisation yet
• No systematic environmental monitoring
• Recent development of monitoring
instruments
• Aerosol sampling
• Losses possible due to gravimetric and
electrostatic forces, impaction and diffusion
• Particle size depends on humidity → drying
• Impactor/cyclone to remove larger particles
Which metric?
→ Surface area concentration
• Particle number concentration
• Total PNC
• Size distribution → concentration for different size classes
16 000
dN/dlogDp (particles cm-3)
14 000
12 000
10 000
8 000
6 000
4 000
2 000
0
10
100
Particle Diameter (nm)
1000
How to measure the total number of particles?
• Optical particle counter ?
• Light scattering by single particles
• But: UFP too small for detection
• Condensation particle counter (CPC)
• Particle enlarged via condensation of
vapour onto a single particle
(www.machinerylubrication.com)
> 1 µm
• Instruments
• CPC using butanol or water
• Typically: 5-10 nm to 1 µm
• Fast measurements (1 s)
TSI-3783 or EPC
How to measure the size distribution of particles?
1. Charger (neutralizer)
• Particles in known charge distribution
2. Electrostatic classification
• Size classification based on electrical
mobility (~ diameter and charge)
3. Particle counter
• Particle number per mobility class
→ Data inversion algorithm
Particle mobility → diameter
Instruments for particle size distribution
• SMPS (Grimm, TSI, Tropos, …)
• Bipolar diffusion charger (85Kr, 64Ni, … source)
• DMA
• Scan time of 5 to 10 min
• 10 to 800/1000 nm (30-200 size classes)
• Butanol CPC
• UFP monitor (TSI 3031)
• Unipolar charger (Corona needle)
• DMA
• Scan time of 10 min
• 20 to 200 nm (5 size classes)
• Electrometer detection
Intra-urban variation in UFP (Antwerp; Joaquin)
• Joaquin project
• Measurement sites and instruments for Antwerp 2013 campaign
• Total particle number concentration
• Day profile at 5 sites
• Temporal correlation between sites
• PNC per size range
•
•
•
•
Particle size distribution
Spatial variation between sites
Temporal correlation between sites
Correlation with NO2
Joaquin project
• Joint Air Quality Initiative
• www.joaquin.eu
• INTERREG IVB NWE project with 16 partners in BE, NL, FR, UK
• Aim: to support health-oriented air quality policies in Europe
• 3 themes
• Measurements
• Policy measures
• Communication
• Measurements
• Composition and oxidative potential of PM10
• Continuous long-term measurements of UFP, BC and gases (NOx) at 4
urban sites (Antwerp, Amsterdam, Leicester, London) + 1 mobile station
• Relationships between air quality parameters
Intra-urban UFP variability (4 Feb - 4 March 2013)
Suburban
• Tropos SMPS
• EPC (wk 3 & 4)
Public park
• Tropos SMPS
• EPC (wk 3 & 4)
Urban
• UFP monitor
• EPC (wk 1 & 2)
Monitoring station /
Urban background
• Grimm SMPS
• EPC
Ring road
• UFP monitor
• EPC (wk 1 & 2)
Day profile total PNC on week days (week 1 & 2)
Day profile total PNC on week days (week 3 & 4)
Correlation total PNC - Monitoring station vs. urban & ring
Urban
Ring
+97%
+120%
Correlation total PNC - Monitoring station vs. suburban & park
Public park -7%
Suburban -39%
Particle size distribution (week days)
Particle Number Concentration per size range (# cm-3)
7 000
Size distributions vary depending on
intensity of / proximity to traffic source
6 000
5 000
4 000
Monitoring Station
Urban
Ring Road
3 000
Suburban
Public Park
2 000
1 000
0
20-30 nm
30-50 nm
50-70 nm 70-100 nm 100-200 nm >200 nm
Size Range
Spatial variation of PNC (COD)
0.6
Monitoring Station vs Suburban
0.5
Monitoring Station vs Public Parc
Coefficient of Divergence (COD)
Monitoring Station vs Ring
Monitoring Station vs Urban
0.4
0.3
0.2
0.1
0.0
20-30 nm
30-50 nm
50-70 nm
Size Range
70-100 nm
100-200 nm
Temporal correlation of PNC
1.0
0.9
Correlatation coefficient
0.8
0.7
0.6
0.5
0.4
0.3
Monitoring Station vs Suburban
0.2
Monitoring Station vs Public Parc
Monitoring Station vs Ring
0.1
Monitoring Station vs Urban
0.0
20-30 nm
30-50 nm
50-70 nm
Size Range
70-100 nm
100-200 nm
Correlation between NO2 and PNC
8000
Particle Number concentration (cm-3)
7000
6000
5000
4000
20-30 nm
R² = 0.8548
30-50 nm
R² = 0.9357
50-70 nm
R² = 0.8665
70-100 nm R² = 0.7429
3000
100-200 nm R² = 0.4283
2000
1000
0
0
20
40
60
NO2
(µg/m3)
80
100
Large-scale variation in UFP (Central Europe)
• UFIREG project
• Measurement sites and instruments
• Particle number concentration (PNC) of different size classes
• Day profile at 4 sites
• Weekdays vs. weekend
• Spatial correlation
• Temporal correlation
• New particle formation
• Impact of air mass origin
UFIREG project
• Ultrafine Particles – an evidence based contribution to the development of regional and European environmental and health policy
• www.ufireg-central.eu
• Interreg IVB Central Europe project with 7 partners in D, CZ, SLO, UA
• Aim: Improvement of air quality and minimalization of health risks
• Themes
• Measurements of UFP
• Health studies (short-term effects on mortality and morbidity)
• Communication/Dissemination
• Measurements
• Continuous long-term measurements of UFP (and PM, gases and
meteorology) at 5 urban background sites
• Relationships between air quality parameters
Sites and instrumentation
TSI-SMPS (TROPOS update)
and UFP 330 since 04/2012
TROPOS-SMPS
since 2011
TROPOS-TDMPS since
2004 and
UFP 330 since 5/2012
TROPOS-SMPS
since 01/2013
TROPOS-SMPS since 04/2012
Day profile Dresden
Friday
Weekend
Particle number per cm³
Monday - Thursday
?
Hour
30-50 nm
50-100 nm
100-200 nm
Preliminary results
Day profiles other cities (Monday - Thursday)
Ljubljana
Prague
30-50 nm
50-100 nm
Chernivtsi
100-200 nm
Preliminary results
Size distributions - 2013
2500
Particle number per cm³
2000
Dresden
1500
Prague
Ljubljana
Chernivtsi
1000
Dresden traffic site
500
0
20-30 nm
30-50 nm
50-70 nm
70-100 nm 100-200 nm > 200 nm
Preliminary results
Spatial variation of PNC (COD)
Preliminary results May 2012 to April 2014
24 hours average
1 hour average
Temporal correlation of PNC
Preliminary results May 2012 to April 2014
24 hours average
1 hour average
New particle formation (NPF)
Particle number per cm³
Characteristics of NPF days
•
High global radiation
•
Low relative humidity
•
Lower [NO2] than on other
days
80 60
90 70
0 3010 4020503060 4070 50
Dresden
DresdenMay
May2012
2012to
to April
April 2013
2013
10-18:00
humidity
Relative
10-18:00
NO2
Global radiation in W/m²
Global radiation
NPF
NPF
NoNPF
NPF
No
Undefined
Undefined
New particle formation – annual cycle
Health relevance questionable
Analysis done by Nadezda Zikova, ICPF Prague
Meteorological cluster analysis
PM10
exceedances
Dresden
based on 96 h back trajectories,
pollutants averaged from 10-18 hrs
Analysis done by Benjamin Hage, TROPOS
Challenges in measuring UFP
• Still relatively new measurement technique
• Little experience in long-term application in routine networks
• Need of very frequent quality assurance > Data availability 
• Complex (and time-consuming) data validation
• Still high uncertainties, especially in the smallest size range
• UFIREG: no online data > no regular publishing
• Butanol emissions of instruments with high size-resolution
• Problematic for benzene measurements, but can be mitigated by
catalytic oxidation (oven)
Quality assurance
Measure
Frequency
Visual check of measurements (via remote access)
Once per day
Maintenance (HV and size calibration, flow rate
checks, butanol refill)
Once per month
Data validation
Once per month
Check of data plausibility
Once per month
On-site comparison
Twice per year
Complete check of the instrument
Once per year
Laboratory versus on-site comparison
13.08. 2011 – Laboratory
Dresden
15.-18.08. 2011 - Station
10000
6000
SMPS Ref-1
SMPS ref_1
SMPS_wi
SMPS Ref-2
SMPS Ref-3
8000
-3
4000
dN/dlogDp in cm
dN/dlogDp in p./cm
3
SMPS BfUL
2000
Within 10%
range
6000
4000
Out of 10%
range
QK Winckelmannstraße
2000
Messung: Ambientmessung
Zeitraum: 15.08.11 20:00 - 18.08.11 08:00
0
0
10
100
Dp in nm
1000
10
100
Dp in nm
800
Round-Robin tests (RRT)
• No concentration „test aerosol“
Station 1
Station 2
• JOAQUIN:
• RRT with Mobile Station
• Two parallel instruments
Reference/
Control
Instrument
Station 5
Station 3
Station 4
 On-site instrument comparison =
only possibility for quality check
• UFIREG:
• RRT with TROPOS
Reference system
• Automated function control
units
Data for health studies (UFIREG codebooks)
„Codebook Exposure Variables“
„Codebook Health Outcomes“
• Daily averages, -maxima, -minima
from air pollution and
meteorological parameters, NPF
• Different lag times and lag sums
• All-cause hospital admissions and allcause mortality on a daily basis
• Cause-specific health outcomes
• Focus on cardiovascular and
respiratory hospital admissions and
mortality
„Codebook Confounder“
• Consideration of public holidays,
weekends, vacations and seasons
• Influence of age, gender and region
• Delayed data availability
• Consideration of waves of influenza
Analysis for 2012 in German cities starts now
Health relevance
Coarse und fine
particles
Simplified hypothesis
following toxicological
hints
Inflammation
Neurohumoral
mechanisms
Ultrafine
particles
Translocation
Little
epidemiological
evidence so far
Pictures: wikipedia
Conclusions
• PNC in urban areas depends strongly on
• Meteorological conditions
• Different sources (traffic, domestic heating, long-range transport, etc.)
→ Important: everyday life of people
• Cityscape
• Extensive quality assurance is essential for comparable UFP
measurements
• Differences in short-term health effects of PM and UFP
Thank you !
Joaquin - www.joaquin.eu
Supported by INTERREG IVB North West Europe
UFIREG - www.ufireg-central.eu
Supported by INTERREG IVB Central Europe
Questions?