@article{
 title = {Identification of sources of atmospheric PM at the Pittsburgh Supersite, Part I: Single particle analysis and filter-based positive matrix factorization},
 type = {article},
 year = {2006},
 pages = {S411-S423},
 volume = {40},
 id = {72ee92c2-2d07-3612-bb2a-5c476baa4d98},
 created = {2014-10-08T16:28:18.000Z},
 file_attached = {false},
 profile_id = {363623ef-1990-38f1-b354-f5cdaa6548b2},
 group_id = {02267cec-5558-3876-9cfc-78d056bad5b9},
 last_modified = {2017-03-14T17:32:24.802Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 citation_key = {Pekney:AE:2006a},
 source_type = {article},
 private_publication = {false},
 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 mu m) 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. (c) 2006 Elsevier Ltd. All rights reserved. C1
Carnegie Mellon Univ, Dept Civil & Environm Engn, Pittsburgh, PA
15213 USA. Carnegie Mellon Univ, Dept Engn & Publ Policy,
Pittsburgh, PA 15213 USA. Univ Calif Davis, Dept Land Air & Water
Resources, Davis, CA 95616 USA. Univ Calif Davis, Dept Mech &
Aeronaut Engn, Davis, CA 95616 USA. Univ Delaware, Dept Chem &
Biochem, Newark, DE 19716 USA.},
 bibtype = {article},
 author = {Pekney, N J and Davidson, C I and Bein, K J and Wexler, A S and Johnston, M V},
 journal = {Atmos. Environ.}
}

{"_id":{"_str":"5411bfbb480d3bb058002ab4"},"__v":0,"authorIDs":[],"author_short":["Pekney, N., J.","Davidson, C., I.","Bein, K., J.","Wexler, A., S.","Johnston, M., V."],"bibbaseid":"pekney-davidson-bein-wexler-johnston-identificationofsourcesofatmosphericpmatthepittsburghsupersitepartisingleparticleanalysisandfilterbasedpositivematrixfactorization-2006","bibdata":{"title":"Identification of sources of atmospheric PM at the Pittsburgh Supersite, Part I: Single particle analysis and filter-based positive matrix factorization","type":"article","year":"2006","pages":"S411-S423","volume":"40","id":"72ee92c2-2d07-3612-bb2a-5c476baa4d98","created":"2014-10-08T16:28:18.000Z","file_attached":false,"profile_id":"363623ef-1990-38f1-b354-f5cdaa6548b2","group_id":"02267cec-5558-3876-9cfc-78d056bad5b9","last_modified":"2017-03-14T17:32:24.802Z","read":false,"starred":false,"authored":false,"confirmed":"true","hidden":false,"citation_key":"Pekney:AE:2006a","source_type":"article","private_publication":false,"abstract":"During the Pittsburgh Air Quality Study (PAQS), July\n2001-September 2002, three co-located instruments analyzed the\ncomposition of ambient particulate matter (PM): (1) A single\nparticle mass spectrometer, RSMS-3, was deployed to obtain\nhigh-temporal-resolution measurements of single particle size (>\n1.1 mu m) and composition which were correlated with meteorological\ndata to identify sources; (2) PM2.5 and PM10 were collected on\ncellulose filters using high-volume (hi-vol) samplers, followed by\nmicrowave-assisted digestion and analysis by inductively coupled\nplasma-mass spectrometry (ICP-MS). Positive matrix factorization\n(PMF) was used to identify possible source categories; and (3) a\nmicro-orifice uniform-deposit impactor (MOUDI) obtained\nsize-distributed samples of PM. Several days of MOUDI filters were\nselected for microwave-assisted digestion and analysis by ICP-MS.\nIn this paper, sources identified using the single particle data\nwere compared to the PMF results for the hi-vol/ICP-MS data. The\nstrengths of each method were combined to hypothesize the most\nlikely sources of various elements in ambient PM in Pittsburgh. In\nthe final results, Mo and Cr are attributed to local specialty\nsteel facilities; Fe, Mn, Zn, and K are attributed to a steel mill\nSE of the monitoring station; internally mixed Pb-containing\nparticles are attributed to a major source to the NW; and Ga is\nattributed to coal combustion sources to the NW. There is a notable\nlack of oil combustion sources. The MOUDI data were used to resolve\ndiscrepancies between the single particle and hi-vol/ICP-MS data\nconcerning the detection of Ti and Se. The hi-vol data showed\nappreciable Ti and Se masses, but RSMS-3 was unable to detect\nsignificant numbers of Ti-containing particles because of their\nlarge size, while we hypothesize that the volatility of Se caused\nit to be distributed more evenly over all emitted particles such\nthat the amount of Se in any individual particle is below the limit\nof detection. (c) 2006 Elsevier Ltd. All rights reserved. C1\nCarnegie Mellon Univ, Dept Civil & Environm Engn, Pittsburgh, PA\n15213 USA. Carnegie Mellon Univ, Dept Engn & Publ Policy,\nPittsburgh, PA 15213 USA. Univ Calif Davis, Dept Land Air & Water\nResources, Davis, CA 95616 USA. Univ Calif Davis, Dept Mech &\nAeronaut Engn, Davis, CA 95616 USA. Univ Delaware, Dept Chem &\nBiochem, Newark, DE 19716 USA.","bibtype":"article","author":"Pekney, N J and Davidson, C I and Bein, K J and Wexler, A S and Johnston, M V","journal":"Atmos. Environ.","bibtex":"@article{\n title = {Identification of sources of atmospheric PM at the Pittsburgh Supersite, Part I: Single particle analysis and filter-based positive matrix factorization},\n type = {article},\n year = {2006},\n pages = {S411-S423},\n volume = {40},\n id = {72ee92c2-2d07-3612-bb2a-5c476baa4d98},\n created = {2014-10-08T16:28:18.000Z},\n file_attached = {false},\n profile_id = {363623ef-1990-38f1-b354-f5cdaa6548b2},\n group_id = {02267cec-5558-3876-9cfc-78d056bad5b9},\n last_modified = {2017-03-14T17:32:24.802Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Pekney:AE:2006a},\n source_type = {article},\n private_publication = {false},\n abstract = {During the Pittsburgh Air Quality Study (PAQS), July\n2001-September 2002, three co-located instruments analyzed the\ncomposition of ambient particulate matter (PM): (1) A single\nparticle mass spectrometer, RSMS-3, was deployed to obtain\nhigh-temporal-resolution measurements of single particle size (>\n1.1 mu m) and composition which were correlated with meteorological\ndata to identify sources; (2) PM2.5 and PM10 were collected on\ncellulose filters using high-volume (hi-vol) samplers, followed by\nmicrowave-assisted digestion and analysis by inductively coupled\nplasma-mass spectrometry (ICP-MS). Positive matrix factorization\n(PMF) was used to identify possible source categories; and (3) a\nmicro-orifice uniform-deposit impactor (MOUDI) obtained\nsize-distributed samples of PM. Several days of MOUDI filters were\nselected for microwave-assisted digestion and analysis by ICP-MS.\nIn this paper, sources identified using the single particle data\nwere compared to the PMF results for the hi-vol/ICP-MS data. The\nstrengths of each method were combined to hypothesize the most\nlikely sources of various elements in ambient PM in Pittsburgh. In\nthe final results, Mo and Cr are attributed to local specialty\nsteel facilities; Fe, Mn, Zn, and K are attributed to a steel mill\nSE of the monitoring station; internally mixed Pb-containing\nparticles are attributed to a major source to the NW; and Ga is\nattributed to coal combustion sources to the NW. There is a notable\nlack of oil combustion sources. The MOUDI data were used to resolve\ndiscrepancies between the single particle and hi-vol/ICP-MS data\nconcerning the detection of Ti and Se. The hi-vol data showed\nappreciable Ti and Se masses, but RSMS-3 was unable to detect\nsignificant numbers of Ti-containing particles because of their\nlarge size, while we hypothesize that the volatility of Se caused\nit to be distributed more evenly over all emitted particles such\nthat the amount of Se in any individual particle is below the limit\nof detection. (c) 2006 Elsevier Ltd. All rights reserved. C1\nCarnegie Mellon Univ, Dept Civil & Environm Engn, Pittsburgh, PA\n15213 USA. Carnegie Mellon Univ, Dept Engn & Publ Policy,\nPittsburgh, PA 15213 USA. Univ Calif Davis, Dept Land Air & Water\nResources, Davis, CA 95616 USA. Univ Calif Davis, Dept Mech &\nAeronaut Engn, Davis, CA 95616 USA. Univ Delaware, Dept Chem &\nBiochem, Newark, DE 19716 USA.},\n bibtype = {article},\n author = {Pekney, N J and Davidson, C I and Bein, K J and Wexler, A S and Johnston, M V},\n journal = {Atmos. Environ.}\n}","author_short":["Pekney, N., J.","Davidson, C., I.","Bein, K., J.","Wexler, A., S.","Johnston, M., V."],"bibbaseid":"pekney-davidson-bein-wexler-johnston-identificationofsourcesofatmosphericpmatthepittsburghsupersitepartisingleparticleanalysisandfilterbasedpositivematrixfactorization-2006","role":"author","urls":{},"downloads":0},"bibtype":"article","biburl":null,"creationDate":"2014-09-11T15:28:59.309Z","downloads":0,"keywords":[],"search_terms":["identification","sources","atmospheric","pittsburgh","supersite","part","single","particle","analysis","filter","based","positive","matrix","factorization","pekney","davidson","bein","wexler","johnston"],"title":"Identification of sources of atmospheric PM at the Pittsburgh Supersite, Part I: Single particle analysis and filter-based positive matrix factorization","year":2006}