Identification of sources of atmospheric PM at the Pittsburgh Supersite, Part I: Single particle analysis and filter-based positive matrix factorization

Natalie J. Pekney, Cliff I. Davidson, Keith J. Bein, Anthony S. Wexler, Murray V. Johnston

Research output: Contribution to journalArticle

36 Citations (Scopus)

Abstract

During the Pittsburgh Air Quality Study (PAQS), July 2001-September 2002, three co-located instruments analyzed the composition of ambient particulate matter (PM): (1) A single particle mass spectrometer, RSMS-3, was deployed to obtain high-temporal-resolution measurements of single particle size (>1.1 μm) and composition which were correlated with meteorological data to identify sources; (2) PM2.5 and PM10 were collected on cellulose filters using high-volume (hi-vol) samplers, followed by microwave-assisted digestion and analysis by inductively coupled plasma-mass spectrometry (ICP-MS). Positive matrix factorization (PMF) was used to identify possible source categories; and (3) a micro-orifice uniform-deposit impactor (MOUDI) obtained size-distributed samples of PM. Several days of MOUDI filters were selected for microwave-assisted digestion and analysis by ICP-MS. In this paper, sources identified using the single particle data were compared to the PMF results for the hi-vol/ICP-MS data. The strengths of each method were combined to hypothesize the most likely sources of various elements in ambient PM in Pittsburgh. In the final results, Mo and Cr are attributed to local specialty steel facilities; Fe, Mn, Zn, and K are attributed to a steel mill SE of the monitoring station; internally mixed Pb-containing particles are attributed to a major source to the NW; and Ga is attributed to coal combustion sources to the NW. There is a notable lack of oil combustion sources. The MOUDI data were used to resolve discrepancies between the single particle and hi-vol/ICP-MS data concerning the detection of Ti and Se. The hi-vol data showed appreciable Ti and Se masses, but RSMS-3 was unable to detect significant numbers of Ti-containing particles because of their large size, while we hypothesize that the volatility of Se caused it to be distributed more evenly over all emitted particles such that the amount of Se in any individual particle is below the limit of detection.

Original languageEnglish (US)
Pages (from-to)411-423
Number of pages13
JournalAtmospheric Environment
Volume40
Issue numberSUPPL. 2
DOIs
StatePublished - 2006

Fingerprint

Inductively coupled plasma mass spectrometry
Factorization
particulate matter
Orifices
filter
matrix
Deposits
mass spectrometry
Particle spectrometers
plasma
Microwaves
Iron and steel plants
Coal combustion
Mass spectrometers
Chemical analysis
digestion
Air quality
steel
Cellulose
Particle size

Keywords

  • Ambient aerosols
  • Particle size-composition
  • Positive matrix factorization
  • Real-time single particle mass spectrometry
  • Trace elements

ASJC Scopus subject areas

  • Atmospheric Science
  • Environmental Science(all)
  • Pollution

Cite this

Identification of sources of atmospheric PM at the Pittsburgh Supersite, Part I : Single particle analysis and filter-based positive matrix factorization. / Pekney, Natalie J.; Davidson, Cliff I.; Bein, Keith J.; Wexler, Anthony S.; Johnston, Murray V.

In: Atmospheric Environment, Vol. 40, No. SUPPL. 2, 2006, p. 411-423.

Research output: Contribution to journalArticle

Pekney, Natalie J. ; Davidson, Cliff I. ; Bein, Keith J. ; Wexler, Anthony S. ; Johnston, Murray V. / Identification of sources of atmospheric PM at the Pittsburgh Supersite, Part I : Single particle analysis and filter-based positive matrix factorization. In: Atmospheric Environment. 2006 ; Vol. 40, No. SUPPL. 2. pp. 411-423.
@article{e0c0cdc446a241418dedef325c5c4397,
title = "Identification of sources of atmospheric PM at the Pittsburgh Supersite, Part I: Single particle analysis and filter-based positive matrix factorization",
abstract = "During the Pittsburgh Air Quality Study (PAQS), July 2001-September 2002, three co-located instruments analyzed the composition of ambient particulate matter (PM): (1) A single particle mass spectrometer, RSMS-3, was deployed to obtain high-temporal-resolution measurements of single particle size (>1.1 μm) and composition which were correlated with meteorological data to identify sources; (2) PM2.5 and PM10 were collected on cellulose filters using high-volume (hi-vol) samplers, followed by microwave-assisted digestion and analysis by inductively coupled plasma-mass spectrometry (ICP-MS). Positive matrix factorization (PMF) was used to identify possible source categories; and (3) a micro-orifice uniform-deposit impactor (MOUDI) obtained size-distributed samples of PM. Several days of MOUDI filters were selected for microwave-assisted digestion and analysis by ICP-MS. In this paper, sources identified using the single particle data were compared to the PMF results for the hi-vol/ICP-MS data. The strengths of each method were combined to hypothesize the most likely sources of various elements in ambient PM in Pittsburgh. In the final results, Mo and Cr are attributed to local specialty steel facilities; Fe, Mn, Zn, and K are attributed to a steel mill SE of the monitoring station; internally mixed Pb-containing particles are attributed to a major source to the NW; and Ga is attributed to coal combustion sources to the NW. There is a notable lack of oil combustion sources. The MOUDI data were used to resolve discrepancies between the single particle and hi-vol/ICP-MS data concerning the detection of Ti and Se. The hi-vol data showed appreciable Ti and Se masses, but RSMS-3 was unable to detect significant numbers of Ti-containing particles because of their large size, while we hypothesize that the volatility of Se caused it to be distributed more evenly over all emitted particles such that the amount of Se in any individual particle is below the limit of detection.",
keywords = "Ambient aerosols, Particle size-composition, Positive matrix factorization, Real-time single particle mass spectrometry, Trace elements",
author = "Pekney, {Natalie J.} and Davidson, {Cliff I.} and Bein, {Keith J.} and Wexler, {Anthony S.} and Johnston, {Murray V.}",
year = "2006",
doi = "10.1016/j.atmosenv.2005.12.072",
language = "English (US)",
volume = "40",
pages = "411--423",
journal = "Atmospheric Environment",
issn = "1352-2310",
publisher = "Pergamon Press Ltd.",
number = "SUPPL. 2",

}

TY - JOUR

T1 - Identification of sources of atmospheric PM at the Pittsburgh Supersite, Part I

T2 - Single particle analysis and filter-based positive matrix factorization

AU - Pekney, Natalie J.

AU - Davidson, Cliff I.

AU - Bein, Keith J.

AU - Wexler, Anthony S.

AU - Johnston, Murray V.

PY - 2006

Y1 - 2006

N2 - During the Pittsburgh Air Quality Study (PAQS), July 2001-September 2002, three co-located instruments analyzed the composition of ambient particulate matter (PM): (1) A single particle mass spectrometer, RSMS-3, was deployed to obtain high-temporal-resolution measurements of single particle size (>1.1 μm) and composition which were correlated with meteorological data to identify sources; (2) PM2.5 and PM10 were collected on cellulose filters using high-volume (hi-vol) samplers, followed by microwave-assisted digestion and analysis by inductively coupled plasma-mass spectrometry (ICP-MS). Positive matrix factorization (PMF) was used to identify possible source categories; and (3) a micro-orifice uniform-deposit impactor (MOUDI) obtained size-distributed samples of PM. Several days of MOUDI filters were selected for microwave-assisted digestion and analysis by ICP-MS. In this paper, sources identified using the single particle data were compared to the PMF results for the hi-vol/ICP-MS data. The strengths of each method were combined to hypothesize the most likely sources of various elements in ambient PM in Pittsburgh. In the final results, Mo and Cr are attributed to local specialty steel facilities; Fe, Mn, Zn, and K are attributed to a steel mill SE of the monitoring station; internally mixed Pb-containing particles are attributed to a major source to the NW; and Ga is attributed to coal combustion sources to the NW. There is a notable lack of oil combustion sources. The MOUDI data were used to resolve discrepancies between the single particle and hi-vol/ICP-MS data concerning the detection of Ti and Se. The hi-vol data showed appreciable Ti and Se masses, but RSMS-3 was unable to detect significant numbers of Ti-containing particles because of their large size, while we hypothesize that the volatility of Se caused it to be distributed more evenly over all emitted particles such that the amount of Se in any individual particle is below the limit of detection.

AB - During the Pittsburgh Air Quality Study (PAQS), July 2001-September 2002, three co-located instruments analyzed the composition of ambient particulate matter (PM): (1) A single particle mass spectrometer, RSMS-3, was deployed to obtain high-temporal-resolution measurements of single particle size (>1.1 μm) and composition which were correlated with meteorological data to identify sources; (2) PM2.5 and PM10 were collected on cellulose filters using high-volume (hi-vol) samplers, followed by microwave-assisted digestion and analysis by inductively coupled plasma-mass spectrometry (ICP-MS). Positive matrix factorization (PMF) was used to identify possible source categories; and (3) a micro-orifice uniform-deposit impactor (MOUDI) obtained size-distributed samples of PM. Several days of MOUDI filters were selected for microwave-assisted digestion and analysis by ICP-MS. In this paper, sources identified using the single particle data were compared to the PMF results for the hi-vol/ICP-MS data. The strengths of each method were combined to hypothesize the most likely sources of various elements in ambient PM in Pittsburgh. In the final results, Mo and Cr are attributed to local specialty steel facilities; Fe, Mn, Zn, and K are attributed to a steel mill SE of the monitoring station; internally mixed Pb-containing particles are attributed to a major source to the NW; and Ga is attributed to coal combustion sources to the NW. There is a notable lack of oil combustion sources. The MOUDI data were used to resolve discrepancies between the single particle and hi-vol/ICP-MS data concerning the detection of Ti and Se. The hi-vol data showed appreciable Ti and Se masses, but RSMS-3 was unable to detect significant numbers of Ti-containing particles because of their large size, while we hypothesize that the volatility of Se caused it to be distributed more evenly over all emitted particles such that the amount of Se in any individual particle is below the limit of detection.

KW - Ambient aerosols

KW - Particle size-composition

KW - Positive matrix factorization

KW - Real-time single particle mass spectrometry

KW - Trace elements

UR - http://www.scopus.com/inward/record.url?scp=33748791783&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33748791783&partnerID=8YFLogxK

U2 - 10.1016/j.atmosenv.2005.12.072

DO - 10.1016/j.atmosenv.2005.12.072

M3 - Article

AN - SCOPUS:33748791783

VL - 40

SP - 411

EP - 423

JO - Atmospheric Environment

JF - Atmospheric Environment

SN - 1352-2310

IS - SUPPL. 2

ER -