application of principal component analysis to aerosol ... · period 1: (below) - 4 components...

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0 1000 2000 3000 4000 5000 6000 -15 -5 5 15 25 Temp (C) Altitude (mASL) PCASP/100 AMS Sulphate AMS Organics Temp PCASP <0.6um 0 1000 2000 3000 4000 5000 6000 -10 -5 0 5 10 15 20 Temp (C) Altitude (mASL) Temp PCASP/100 AMS SO4 AMS Organic PCASP <0.6um 0 1000 2000 3000 4000 5000 6000 -10 -5 0 5 10 15 Temp (C) Altitude (mASL) Temp PCASP/100 PCASP <0.6um AMS SO4 AMS Organics Application of Principal Component Analysis to Aerosol Mass Spec Application of Principal Component Analysis to Aerosol Mass Spec Application of Principal Component Analysis to Aerosol Mass Spec Application of Principal Component Analysis to Aerosol Mass Spec Application of Principal Component Analysis to Aerosol Mass Spec Application of Principal Component Analysis to Aerosol Mass Spec Application of Principal Component Analysis to Aerosol Mass Spec Application of Principal Component Analysis to Aerosol Mass Spec trometry Data trometry Data trometry Data trometry Data trometry Data trometry Data trometry Data trometry Data from the Whistler High Elevation Site from the Whistler High Elevation Site from the Whistler High Elevation Site from the Whistler High Elevation Site from the Whistler High Elevation Site from the Whistler High Elevation Site from the Whistler High Elevation Site from the Whistler High Elevation Site John Liggio John Liggio 1 1 ( ( [email protected] [email protected] ) ) , S. , S. - - M. Li M. Li 1 1 , K. Hayden , K. Hayden 1 1 , Q. Zhang , Q. Zhang 2 2 , R. Leaitch , R. Leaitch 1 1 , , P.S.K. Liu P.S.K. Liu 1 1 , A. Macdonald , A. Macdonald 1 1 1. Air Quality Research Division, Environment Canada, 4905 Dufferin Street, Toronto, ON, M3H 5T4, Canada 2. Atmospheric Science Research Center, State University of New York, Albany, NY 12203, USA INTRODUCTION INTRODUCTION As part of the INTEX-B project a Time of Flight Aerosol mass Spectrometer (ToF-AMS, Aerodyne Research Inc.) was deployed at the peak of Whistler Mountain (2182 mASL), to examine the effect of trans-pacific transport, as well as local and regional pollution influences on the site. The Whistler mountain site (BC, Canada), is an ideal location for studying these processes as it is often influenced by air masses from the pacific in the free troposphere. In order to decipher the complicated particle mass spectra obtained from the ToF-AMS, a Principal Component Analysis (PCA) technique was developed and applied to the data. Results of the PCA are presented, which aid in the apportionment of air masses to specific processes, by identifying co-varying aerosol components. EXPERIMENTAL EXPERIMENTAL ToF ToF - - AMS Instrument Details AMS Instrument Details Provides particle mass spectra with high time resolution (5 min @ whistler) Quantifies particle sulfate, nitrate, ammonium, and total organic mass (< ~1 um diameter) size segregated mass distribution for every m/z, high mass range (~800 amu) Alternated between two modes of operation: - V-mode: High sensitivity, > unit mass resolution - W-mode: Lower sensitivity, high mass resolution (~5000 vs 20 for the Q-AMS) April 19 – May 16, ~66% data recovery Principal Component Analysis (PCA) Principal Component Analysis (PCA) Figure 1. View of the Whistler high elevation site ToF-AMS PCA is a statistical method to reduce the dimensionality of a data set while explaining a maximum of the variance Original Data Matrix (D) contains r rows, and c columns: D = Sample Time m/z d 11 d 12 d 13 …………..…. d 1c d 21 d 22 d 23 …………..…. d 2c d r1 d r2 d r3 …………..….. d rc ……… ……… ……… ……… PCA seeks a solution where each point in D is a linear sum of n product terms (components): = = n j jk ij ik c r d 1 (i = i th row, k = k th column) Thus decomposing the data matrix into 2 matrices: [ ] [ ] [ ] c n n r c r C R D × × × = (Loading) (Score) Varimax Rotation is used to transform the scores and loadings into a physically meaningful result Multiple linear regression of each m/z signal (M) for a given observation (k) on the predicted signal (S =[R] rot ) from all components (j) is performed as follows: = + = n j jk j k S a a M 1 0 Repeating this regression for every m/z (1-300) signal results in a relative component profile (a j ) or mass spectra for each component. Component spectra represent common processes not necessarily specific aerosol sources or species, thus a negative contribution is allowed. RESULTS & DISCUSSION RESULTS & DISCUSSION Figure 2. Preliminary AMS concentration data. Period 1 Period 1 Period 2 Period 2 Period 3 Period 3 PCA applied to these 3 periods Period 3: (below) - 4 components accounted for >99% of variance Component 1 spectra is highly similar to the known spectrum of sulfate, with the exception of a few associated organic fragments Component 2 is highly similar to the known spectrum of Nitrate, with several associated organic fragments Figure 4. Figure 4. Component 3 from PCA of period 3 and comparison to laboratory generated spectrum Component 3 is highly similar to the mass spectrum obtained during the oxidation of α-pinene in smog chamber studies. It is likely that component 3 at Whistler is associated with oxidation products of biogenic origin. Figure 5. Figure 5. Component 4 from PCA of period 3 and comparison to laboratory generated spectrum Component 4 is somewhat similar to the m-xylene (anthropogenic) oxidation spectrum. However, significant biomass burning markers are also present (m/z 60, m/z 73 – Levoglucosan). This component is highly oxygenated (m/z 44, 31,55…) and may also be the result of biomass burning. Fragments from inorganic species (m/z 30, 46, 48, 64, 80) imply a negative contribution to this component. Possibly a result of meteorology, or chemical processes. Figure 3. Figure 3. Components 1 and 2 from PCA of period 3. Figure 6. Figure 6. A – PCA derived net mass concentration for each component (Period 3). B – % of net total mass for each component A B CONCLUSIONS CONCLUSIONS Figure 7. Figure 7. Vertical profiles of Q-AMS data over Whistler site for three flights during period 3 Whistler Whistler Whistler Whistler Component 1 (sulfate) dominates when whistler is decoupled from the mixed layer, possibly pacific transport. Vertical profiles suggest that the high organic mass (biogenic component 3) is a result of subsidence and not linked to valley below. Period 1: (below) - 4 components accounted for >99% of variance with slight differences from components of period 3 Figure 8. Figure 8. Components derived from the PCA of period 1 Levoglucosan markers (m/z 60,73) are no longer present in component 4 HCl marker (m/z 36) is evident in the inorganic components (1,2). Whistler Whistler 0 1000 2000 3000 4000 5000 6000 0 2 4 6 8 Particle Mass Cn ( μ μ μ g m -3 ) Altitude (mASL) PCASP <0.6um AMS SO4 AMS Organics AMS NO3 Figure 9. Figure 9. A – Component net mass concentration (Period 1). B – % of net total mass for each component (period 1). C – Vertical profiles of AMS data over the Whistler site during Period 1. A C B Four components were usually sufficient to describe the whistler AMS data, accounting for > 99% of the total variance Biogenic aerosols (component 3) may account for up to 60% of the net total aerosol mass derived by PCA A primarily sulfate component may be a result of trans-pacific transport Possible biomass burning component was also identified (period 3) Organics during period 3 likely a result of subsidence from aloft Biomass burning was not evident during Period 1 HCl was observed in both inorganic components during Period 1 Aerosols during period 1 were more likely associated with the valley below (within the boundary layer). Whistler Whistler Acknowledgments: Doug Worsnop (Aerodyne Reseach Inc.) & Mike Cubisan (U of Colorado - Boulder)

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Page 1: Application of Principal Component Analysis to Aerosol ... · Period 1: (below) - 4 components accounted for >99% of variance with slight differences from components of period 3 Figure

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PCASP/100AMS SulphateAMS OrganicsTempPCASP <0.6um

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Application of Principal Component Analysis to Aerosol Mass SpecApplication of Principal Component Analysis to Aerosol Mass SpecApplication of Principal Component Analysis to Aerosol Mass SpecApplication of Principal Component Analysis to Aerosol Mass SpecApplication of Principal Component Analysis to Aerosol Mass SpecApplication of Principal Component Analysis to Aerosol Mass SpecApplication of Principal Component Analysis to Aerosol Mass SpecApplication of Principal Component Analysis to Aerosol Mass Spectrometry Data trometry Data trometry Data trometry Data trometry Data trometry Data trometry Data trometry Data

from the Whistler High Elevation Sitefrom the Whistler High Elevation Sitefrom the Whistler High Elevation Sitefrom the Whistler High Elevation Sitefrom the Whistler High Elevation Sitefrom the Whistler High Elevation Sitefrom the Whistler High Elevation Sitefrom the Whistler High Elevation SiteJohn LiggioJohn Liggio11 (([email protected]@ec.gc.ca)), S., S.-- M. LiM. Li11, K. Hayden, K. Hayden11, Q. Zhang, Q. Zhang22, R. Leaitch, R. Leaitch11,, P.S.K. LiuP.S.K. Liu11, A. Macdonald, A. Macdonald11

1. Air Quality Research Division, Environment Canada, 4905 Dufferin Street, Toronto, ON, M3H 5T4, Canada 2. Atmospheric Science Research Center, State University of New York, Albany, NY 12203, USA

INTRODUCTIONINTRODUCTIONAs part of the INTEX-B project a Time of Flight Aerosol

mass Spectrometer (ToF-AMS, Aerodyne Research Inc.)

was deployed at the peak of Whistler Mountain (2182

mASL), to examine the effect of trans-pacific transport, as

well as local and regional pollution influences on the site.

The Whistler mountain site (BC, Canada), is an ideal

location for studying these processes as it is often

influenced by air masses from the pacific in the free

troposphere.

In order to decipher the complicated particle mass spectra

obtained from the ToF-AMS, a Principal Component

Analysis (PCA) technique was developed and applied to

the data. Results of the PCA are presented, which aid in

the apportionment of air masses to specific processes, by

identifying co-varying aerosol components.

EXPERIMENTALEXPERIMENTAL

ToFToF--AMS Instrument DetailsAMS Instrument Details

� Provides particle mass spectra with high time resolution

� (5 min @ whistler)

� Quantifies particle sulfate, nitrate, ammonium, and total

organic mass (< ~1 um diameter)

� size segregated mass distribution for every m/z, high

mass range (~800 amu)

� Alternated between two modes of operation:

- V-mode: High sensitivity, > unit mass resolution

- W-mode: Lower sensitivity, high mass resolution

(~5000 vs 20 for the Q-AMS)

� April 19 – May 16, ~66% data recovery

Principal Component Analysis (PCA)Principal Component Analysis (PCA)

Figure 1. View of the Whistler high elevation site

ToF-AMS

� PCA is a statistical method to reduce the dimensionality of a data set while explaining a maximum of the variance

� Original Data Matrix (D) contains r rows, and c columns:

D =

Sample

Time

m/z

d11 d12 d13 …………..…. d1c

d21 d22 d23 …………..…. d2c

dr1 dr2 dr3 …………..….. drc

……

……

……

……

PCA seeks a solution where each point in D is a linear

sum of n product terms (components):

∑=

=n

j

jkijik crd1

(i = ith row, k = kth column)

Thus decomposing the data matrix into 2 matrices:

[ ] [ ] [ ] cnnrcr CRD ××× =

(Loading)(Score)

� Varimax Rotation is used to transform the scores and

loadings into a physically meaningful result

� Multiple linear regression of each m/z signal (M) for a

given observation (k) on the predicted signal (S =[R]rot)

from all components (j) is performed as follows:

∑=

+=n

j

jkjk SaaM1

0

Repeating this regression for every m/z (1-300) signal

results in a relative component profile (aj) or mass spectra

for each component.

� Component spectra represent common processes

not necessarily specific aerosol sources or species,

thus a negative contribution is allowed.

RESULTS & DISCUSSIONRESULTS & DISCUSSION

Figure 2. Preliminary AMS concentration data.

Period 1Period 1 Period 2Period 2 Period 3Period 3

PCA applied to these 3 periods

Period 3: (below)

- 4 components accounted for >99% of variance

� Component 1 spectra is highly similar to the known

spectrum of sulfate, with the exception of a few

associated organic fragments

� Component 2 is highly similar to the known spectrum

of Nitrate, with several associated organic fragments

Figure 4.Figure 4. Component 3 from PCA of period 3 and comparison to

laboratory generated spectrum

� Component 3 is highly similar to the mass spectrum obtained during

the oxidation of α-pinene in smog chamber studies. It is likely that component 3 at Whistler is associated with oxidation products of

biogenic origin.

Figure 5.Figure 5. Component 4 from PCA of period 3 and comparison to

laboratory generated spectrum

� Component 4 is somewhat similar to the m-xylene (anthropogenic)

oxidation spectrum. However, significant biomass burning markers are

also present (m/z 60, m/z 73 – Levoglucosan). This component is

highly oxygenated (m/z 44, 31,55…) and may also be the result of

biomass burning.

� Fragments from inorganic species (m/z 30, 46, 48, 64, 80) imply a

negative contribution to this component. Possibly a result of

meteorology, or chemical processes.

Figure 3.Figure 3. Components 1 and 2 from PCA of period 3.

Figure 6.Figure 6. A – PCA derived net mass concentration for each

component (Period 3). B – % of net total mass for each component

A

B

CONCLUSIONSCONCLUSIONS

Figure 7.Figure 7. Vertical profiles of

Q-AMS data over Whistler

site for three flights during

period 3

WhistlerWhistler WhistlerWhistler

� Component 1 (sulfate) dominates when whistler is decoupled from the mixed layer, possibly pacific transport.

� Vertical profiles suggest that the high organic mass (biogeniccomponent 3) is a result of subsidence and not linked to valley below.

Period 1: (below) - 4 components accounted for >99% of variance with

slight differences from components of period 3

Figure 8.Figure 8. Components derived from the PCA of period 1

� Levoglucosan markers (m/z 60,73) are no longer present in component 4

� HCl marker (m/z 36) is evident in the inorganic components (1,2).

WhistlerWhistler

0

1000

2000

3000

4000

5000

6000

0 2 4 6 8Particle Mass Cn (µµµµg m-3)

Alt

itu

de

(m

AS

L)

PCASP <0.6um

AMS SO4

AMS Organics

AMS NO3

Figure 9.Figure 9. A – Component net mass

concentration (Period 1). B – % of

net total mass for each component

(period 1). C – Vertical profiles of

AMS data over the Whistler site

during Period 1.

A

C

B

�Four components were usually sufficient to describe the whistler AMS

data, accounting for > 99% of the total variance

� Biogenic aerosols (component 3) may account for up to 60% of the

net total aerosol mass derived by PCA

� A primarily sulfate component may be a result of trans-pacific transport

� Possible biomass burning component was also identified (period 3)

� Organics during period 3 likely a result of subsidence from aloft

� Biomass burning was not evident during Period 1

� HCl was observed in both inorganic components during Period 1

� Aerosols during period 1 were more likely associated with the valley

below (within the boundary layer).

WhistlerWhistler

Acknowledgments: Doug Worsnop (Aerodyne Reseach Inc.) &

Mike Cubisan (U of Colorado - Boulder)