high-time resolution measurement of particulate matter

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43 44 56 0 0.04 0.08 0.12 0.16 0 20 40 60 80 100 Fraction Introduction Cheol-Heon Jeong, Krystal J. Godri, Greg J. Evans Southern Ontario Centre for Atmospheric Aerosol Research, University of Toronto, Canada Funding for SOCAAR was provided by the Canada Foundation for Innovation, the Ontario Innovation Trust and the Ontario Research Fund. Continuous high-time resolution measurements of particulate matter (PM) mass and chemical composition, collected over an extended time course are needed to provide important links between sources and exposure in rapidly changing environments. New instruments are facilitating such measurements but their capabilities and limitations need to be explored and understood so as to properly use the valuable data they can provide. In order to evaluate the performance of an Aerosol Chemical Speciation Monitor (ACSM, Aerodyne), an equivalence study was performed by comparing ACSM chemical speciation data to collocated aerosol monitoring instruments. Positive matrix factorization (PMF) analysis with ACSM organics was performed to identify the sources of organics in an urban area. Fig. 2. Time series plots for organics (Org), sulphate (SO4), nitrate (NO3), ammonium (NH4), and chloride (Chl) measured by the ACSM in Toronto. Organic matter (OM) was the largest PM contributor to PM (~50% of PM1 mass). Reconstructed mass concentrations from the ACSM and EC showed good agreement with the estimated PM1 by the FMPS_APS system. Average Sunset OM concentrations were fairly well correlated with the ACSM organic concentration. The OM/OC ratios may vary by the oxidation state of organic aerosol. PMF data analysis tool was used to apportion organic matter measured by ACSM and a three factor solution was resolved (LV-OOA, SV-OOA, and HOA). The LV-OOA factor was highest and accounted for 54% of OM. Strong diurnal trends and weekdays-high patterns were observed for the HOA factor, indicating the direct contribution of diesel exhausts. SV-OOA was a slightly aged factor that is characteristic of indirect, secondary aerosol related to vehicle emissions. High correlations between the HOA factor and light absorbance (b abs and EC) were found, while the LV-OOA factor was associated with high light scattering. Contact: [email protected]; [email protected] Variation of Chemical Compositions Methodology Results Results Sampling Site Instrumentation Downtown Toronto (~2.5 Million Population), Canada Near-roads site (~15m from the road, ~6m above ground level, and ~33 000 vehicles/ weekday) at the Southern Ontario Centre for Atmospheric Aerosol Research (SOCAAR) of the University of Toronto December 2011 – June 2012 Summary Acknowledgement Aerodyne Aerosol Chemical Speciation Monitor (ACSM) The same technology as Aerosol Mass Spectrometer (AMS) combining an aerodynamic particle focusing lens with high vacuum thermal particle vaporization and mass spectrometry. Provides non-refractory chemical compositions (i.e., organics, nitrate, sulphate, ammonium, and chloride) of PM1 with 15 min resolution. Uses naphthalene (Nap) as an internal source Needs routine calibrations (i.e., Ionization Efficiency (IE) calibration) and post data corrections. Size-segregated PM mass concentration Fast Mobility Particle Spectrometer (FMPS, TSI) : 0.1 to 0.5 μm Aerodynamic Particle Sizer (APS, TSI) : 0.5 to 2.5 μm Integrated number and size distribution data, FMPS+APS To convert mass concentrations from the size and number data the effective density was assumed to be 1.2. Carbonaceous species and optical properties Sunset Lab OCEC analyzer : Organic Carbon (OC), Elemental Carbon (EC) Organic Matter (OM) = 1.8 OC PM1 Mass = 0.85·PM2.5 mass 2-wavelength (780nm, 405nm) Photo Acoustic Soot Spectrometer (PASS, DMT): absorption coefficient (b abs ), scattering coefficient (b scat ), mass absorption coefficient (MAC) 0.00 0.50 1.00 1.50 11/03/11 1/22/12 4/11/12 6/30/12 Nap / IE_NO3 Fig. 1. The variation of the ratio of naphthalene to nitrate ionization efficiency. , ସହ షభ ௨௦௧ ா ሺஜ షయ = MAC (m 2 g -1 , 12.9 m 2 g -1 ) 0 2 4 6 8 10 12 14 12/01/11 12/11/11 12/21/11 12/31/11 1/10/12 1/20/12 1/30/12 2/09/12 2/19/12 2/29/12 Concentration (μg m -3 ) NO3 Chl SO4 Org NH4 Org 56% SO4 10% NO3 21% NH4 12% Chl 1% Fig. 3. Correlation between the reconstructed ACSM PM compositions with EC and the FMPS_APS PM1 mass concentrations. 30-min average ACSM+EC = 4.4 ± 3.1 μg m -3 FMPS_APS PM1 = 4.9 ± 3.4 μg m -3 Fig. 4. Correlation between AMS organic and organic matter (OM) concentrations from the Sunset Lab OCEC analyzer. Sunset Lab OC concentration was converted to OM by multiplying a factor of 1.8. Sunset OM accounted for ~54% of the FMPS_APS PM1. Sunset OM < ACSM Org, at higher concentrations Higher OM/OC factor may need to be applied for photochemical processing and aged secondary OA . Equivalence Study PMF Analysis Low-volatility oxygenated organic aerosol (LV-OOA) Aged, oxidized OM m/z 44 (COO+) Semi-volatile oxygenated organic aerosol (SV-OOA) m/z 41>43, m/z 55>57 Possible influences of HOA Hydrocarbon-like organic aerosol (HOA) Diesel exhaust profile hydrocarbon-like fragments m/z 57>55, m/z 43>41 Org 60% SO4 9% NO3 22% NH4 8% Chl 1% Org 70% SO4 6% NO3 19% NH4 5% Chl 0% Org 40% SO4 8% NO3 39% NH4 13% Chl 0% PM = 2.2 μg m -3 PM = 20.9 μg m -3 PM = 9.1 μg m -3 LV-OOA 41 43 54 55 67 81 0 0.04 0.08 0.12 0 20 40 60 80 100 Fraction 41 43 55 57 69 71 83 0 0.04 0.08 0.12 0 20 40 60 80 100 Fraction m/z SV-OOA HOA 0 2 4 6 8 10 12 12/01/11 12/11/11 12/21/11 12/31/11 1/10/12 1/20/12 1/30/12 2/09/12 2/19/12 2/29/12 Concentration (μg m -3 ) HOA SV-OOA LV-OOA Fig. 5. Stacked areas of PMF factor contributions. LV-OOA (54%), SV-OOA (19%), and HOA (19%) of total ACSM Org mass (~2.1 μg m -3 ) LV-OOA Hour Fig. 6. Diurnal variations of PMF-resolved organic factors. SV-OOA: Strong night-time and weekday noon peaks (WD/WE=1.4) HOA: Strong weekday high pattern, morning rush-hour peaks (WD/WE=1.5) LV-OOA: No diurnal trends 0 0.2 0.4 0.6 0.8 1 0:00 6:00 12:00 18:00 0:00 Weekends Weekdays 0 0.2 0.4 0.6 0.8 1 0:00 6:00 12:00 18:00 0:00 Weekends Weekdays 0 0.2 0.4 0.6 0.8 1 0:00 6:00 12:00 18:00 0:00 Weekends Weekdays Concentration (μg m -3 ) SV-OOA HOA Hour Pearson r m/z 44 m/z 57 LV-OOA SV-OOA HOA b abs ,405nm 0.58 0.67 0.68 0.47 0.68 b abs ,780nm 0.49 0.59 0.55 0.39 0.59 b scat ,405nm 0.79 0.56 0.75 0.35 0.45 b scat ,780nm 0.78 0.59 0.76 0.39 0.49 Sunset Lab EC 0.55 0.72 0.63 0.48 0.73 Table 1. Correlation analysis between PMF organic factors and particle optical property measurements as well as Sunset Lab EC. HOA: Strong light absorption, high correlation with EC LV-OOA: Strong light scattering y = 0.62x + 0.81 R² = 0.64 0 2 4 6 8 10 0 2 4 6 8 10 Sunset Lab OM (μg m -3 ) ACSM Org (μg m -3 ) UNIVERSITY OF TORONTO y = 1.01x + 0.45 R² = 0.85 0 10 20 30 0 10 20 30 FMPS-APS_PM1 (μg m -3 ) ACSM+EC (μg m -3 ) Nap signal : 1.98e-11 ± 3.25e-12 amp IE NO3 Slope : 2.85e-11 ± 7.73e-12 amp·μg m -3 High-Time Resolution Measurement of Particulate Matter Mass and Chemical Speciation High-Time Resolution Measurement of Particulate Matter Mass and Chemical Speciation

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Page 1: High-Time Resolution Measurement of Particulate Matter

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Introduction

Cheol-Heon Jeong, Krystal J. Godri, Greg J. Evans Southern Ontario Centre for Atmospheric Aerosol Research, University of Toronto, Canada

Funding for SOCAAR was provided by the Canada Foundation for Innovation, the Ontario Innovation Trust and the Ontario Research Fund.

Continuous high-time resolution measurements of particulate matter (PM) mass andchemical composition, collected over an extended time course are needed toprovide important links between sources and exposure in rapidly changingenvironments.

New instruments are facilitating such measurements but their capabilities andlimitations need to be explored and understood so as to properly use the valuabledata they can provide.

In order to evaluate the performance of an Aerosol Chemical Speciation Monitor(ACSM, Aerodyne), an equivalence study was performed by comparing ACSMchemical speciation data to collocated aerosol monitoring instruments.

Positive matrix factorization (PMF) analysis with ACSM organics was performed toidentify the sources of organics in an urban area. Fig. 2. Time series plots for organics (Org), sulphate (SO4), nitrate (NO3), ammonium

(NH4), and chloride (Chl) measured by the ACSM in Toronto.

Organic matter (OM) was the largest PM contributor to PM (~50% of PM1 mass). Reconstructed mass concentrations from the ACSM and EC showed good agreement

with the estimated PM1 by the FMPS_APS system. Average Sunset OM concentrations were fairly well correlated with the ACSM organic

concentration. The OM/OC ratios may vary by the oxidation state of organic aerosol. PMF data analysis tool was used to apportion organic matter measured by ACSM and a

three factor solution was resolved (LV-OOA, SV-OOA, and HOA). The LV-OOA factor was highest and accounted for 54% of OM. Strong diurnal trends and weekdays-high patterns were observed for the HOA factor,

indicating the direct contribution of diesel exhausts. SV-OOA was a slightly aged factor that is characteristic of indirect, secondary aerosol

related to vehicle emissions. High correlations between the HOA factor and light absorbance (babs and EC) were

found, while the LV-OOA factor was associated with high light scattering.

Contact: [email protected]; [email protected]

Variation of Chemical Compositions

Methodology

Results Results

Sampling Site

Instrumentation

Downtown Toronto (~2.5 Million Population), Canada

Near-roads site (~15m from the road, ~6m above ground level, and ~33 000 vehicles/weekday) at the Southern Ontario Centre for Atmospheric Aerosol Research(SOCAAR) of the University of Toronto

December 2011 – June 2012

Summary

Acknowledgement

Aerodyne Aerosol Chemical Speciation Monitor(ACSM)

The same technology as Aerosol Mass Spectrometer(AMS) combining an aerodynamic particle focusing lenswith high vacuum thermal particle vaporization and massspectrometry.Provides non-refractory chemical compositions (i.e.,organics, nitrate, sulphate, ammonium, and chloride) ofPM1 with 15 min resolution.Uses naphthalene (Nap) as an internal sourceNeeds routine calibrations (i.e., Ionization Efficiency (IE)calibration) and post data corrections.

Size-segregated PM mass concentrationFast Mobility Particle Spectrometer (FMPS, TSI) : 0.1 to 0.5 µmAerodynamic Particle Sizer (APS, TSI) : 0.5 to 2.5 µmIntegrated number and size distribution data, FMPS+APSTo convert mass concentrations from the size and number data the effectivedensity was assumed to be 1.2.

Carbonaceous species and optical propertiesSunset Lab OCEC analyzer : Organic Carbon (OC), Elemental Carbon (EC)

Organic Matter (OM) = 1.8 OCPM1 Mass = 0.85·PM2.5 mass

2-wavelength (780nm, 405nm) Photo Acoustic Soot Spectrometer (PASS,DMT): absorption coefficient (babs), scattering coefficient (bscat), massabsorption coefficient (MAC)

0.00

0.50

1.00

1.50

11/03/11 1/22/12 4/11/12 6/30/12

Nap

/ IE

_NO

3

Fig. 1. The variation of the ratio of naphthalene to nitrate ionization efficiency.

, = MAC (m2 g-1, 12.9 m2 g-1)

02468

101214

12/01/11 12/11/11 12/21/11 12/31/11 1/10/12 1/20/12 1/30/12 2/09/12 2/19/12 2/29/12

Con

cent

ratio

n (µ

g m

-3) NO3 Chl SO4 Org NH4

Org56%SO4

10%

NO321%

NH412%

Chl1%

Fig. 3. Correlation between the reconstructed ACSMPM compositions with EC and the FMPS_APS PM1mass concentrations.

30-min averageACSM+EC = 4.4 ± 3.1 µg m-3

FMPS_APS PM1 = 4.9 ± 3.4 µg m-3

Fig. 4. Correlation between AMS organic and organicmatter (OM) concentrations from the Sunset Lab OCECanalyzer. Sunset Lab OC concentration was convertedto OM by multiplying a factor of 1.8.

Sunset OM accounted for ~54% of the FMPS_APSPM1.Sunset OM < ACSM Org, at higher concentrationsHigher OM/OC factor may need to be applied forphotochemical processing and aged secondary OA .

Equivalence Study

PMF Analysis

Low-volatility oxygenated organic aerosol (LV-OOA)

Aged, oxidized OM

m/z 44 (COO+)

Semi-volatile oxygenated organic aerosol (SV-OOA)

m/z 41>43, m/z 55>57

Possible influences of HOA

Hydrocarbon-like organic aerosol (HOA)

Diesel exhaust profile

hydrocarbon-like fragments

m/z 57>55, m/z 43>41

Org60%

SO49%

NO322%

NH48%

Chl1%

Org70%

SO46%

NO319%

NH45%

Chl0%

Org40%

SO48%

NO339%

NH413%

Chl0%

PM = 2.2 µg m-3 PM = 20.9 µg m-3PM = 9.1 µg m-3

LV-OOA

41

43 54

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71 83

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m/z

SV-OOA

HOA

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12/01/11 12/11/11 12/21/11 12/31/11 1/10/12 1/20/12 1/30/12 2/09/12 2/19/12 2/29/12

Con

cent

ratio

n (µ

g m

-3) HOA

SV-OOALV-OOA

Fig. 5. Stacked areas of PMF factor contributions.

LV-OOA (54%), SV-OOA (19%), and HOA (19%) of total ACSM Org mass (~2.1 µg m-3)

LV-OOA

Hour

Fig. 6. Diurnal variations of PMF-resolvedorganic factors.

SV-OOA: Strong night-time andweekday noon peaks (WD/WE=1.4)HOA: Strong weekday high pattern,morning rush-hour peaks(WD/WE=1.5)LV-OOA: No diurnal trends

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WeekendsWeekdays

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n (µ

g m

-3)

SV-OOA

HOAHour

Pearson r m/z 44 m/z 57 LV-OOA SV-OOA HOA

babs,405nm 0.58 0.67 0.68 0.47 0.68

babs,780nm 0.49 0.59 0.55 0.39 0.59

bscat,405nm 0.79 0.56 0.75 0.35 0.45

bscat,780nm 0.78 0.59 0.76 0.39 0.49

Sunset Lab EC 0.55 0.72 0.63 0.48 0.73

Table 1. Correlation analysis betweenPMF organic factors and particle opticalproperty measurements as well asSunset Lab EC.

HOA: Strong light absorption, highcorrelation with EC

LV-OOA: Strong light scattering

y = 0.62x + 0.81R² = 0.64

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Suns

et L

ab O

M (µ

g m

-3)

ACSM Org (µg m-3)

UNIVERSITY OF

TORONTO

y = 1.01x + 0.45R² = 0.85

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30

0 10 20 30

FMPS

-APS

_PM

1 (µ

g m

-3)

ACSM+EC (µg m-3)

Nap signal :1.98e-11 ± 3.25e-12 amp

IE NO3 Slope : 2.85e-11 ± 7.73e-12 amp·µg m-3

High-Time Resolution Measurement of Particulate Matter Mass and Chemical SpeciationHigh-Time Resolution Measurement of Particulate Matter Mass and Chemical Speciation