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Source Apportionment of Phoenix PM_2.5 Aerosol with the Unmix Receptor Model

Lewis, Charles W. / Norris, Gary A. / Conner, Teri L. / Henry, Ronald C.

The multivariate receptor model Unmix has been used to analyze a 3-yr PM_2.5 ambient aerosol data set collected in Phoenix, AZ, beginning in 1995. The analysis generated source profiles and overall average percentage source contribution estimates (SCEs) for five source categories: gasoline engines (33 ± 4%), diesel engines (16 ± 2%), secondary SO₄ ²⁻ (19 ± 2%), crustal/soil (22 ± 2%), and vegetative burning (10 ± 2%). The Unmix analysis was supplemented with scanning electron microscopy (SEM) of a limited number of filter samples for information on possible additional low-strength sources. Except for the diesel engine source category, the Unmix SCEs were generally consistent with an earlier multivariate receptor analysis of essentially the same data using the Positive Matrix Factorization (PMF) model. This article provides the first demonstration for an urban area of the capability of the Unmix receptor model.

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Source Apportionment of Phoenix PM_2.5 Aerosol with the Unmix Receptor Model

Lewis, Charles W. / Norris, Gary A. / Conner, Teri L. / Henry, Ronald C.

The multivariate receptor model Unmix has been used to analyze a 3-yr PM_2.5 ambient aerosol data set collected in Phoenix, AZ, beginning in 1995. The analysis generated source profiles and overall average percentage source contribution estimates (SCEs) for five source categories: gasoline engines (33 ± 4%), diesel engines (16 ± 2%), secondary SO₄ ²⁻ (19 ± 2%), crustal/soil (22 ± 2%), and vegetative burning (10 ± 2%). The Unmix analysis was supplemented with scanning electron microscopy (SEM) of a limited number of filter samples for information on possible additional low-strength sources. Except for the diesel engine source category, the Unmix SCEs were generally consistent with an earlier multivariate receptor analysis of essentially the same data using the Positive Matrix Factorization (PMF) model. This article provides the first demonstration for an urban area of the capability of the Unmix receptor model.

Source Apportionment of Phoenix PM_2.5 Aerosol with the Unmix Receptor Model

Lewis, Charles W. / Norris, Gary A. / Conner, Teri L. / Henry, Ronald C.

The multivariate receptor model Unmix has been used to analyze a 3-yr PM_2.5 ambient aerosol data set collected in Phoenix, AZ, beginning in 1995. The analysis generated source profiles and overall average percentage source contribution estimates (SCEs) for five source categories: gasoline engines (33 ± 4%), diesel engines (16 ± 2%), secondary SO₄ ²⁻ (19 ± 2%), crustal/soil (22 ± 2%), and vegetative burning (10 ± 2%). The Unmix analysis was supplemented with scanning electron microscopy (SEM) of a limited number of filter samples for information on possible additional low-strength sources. Except for the diesel engine source category, the Unmix SCEs were generally consistent with an earlier multivariate receptor analysis of essentially the same data using the Positive Matrix Factorization (PMF) model. This article provides the first demonstration for an urban area of the capability of the Unmix receptor model.

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Title:

Source Apportionment of Phoenix PM_2.5 Aerosol with the Unmix Receptor Model

Contributors:

Lewis, Charles W. (author) / Norris, Gary A. (author) / Conner, Teri L. (author) / Henry, Ronald C. (author)

Published in:

Journal of the Air & Waste Management Association ; 53 ; 325-338

Publication date:

2003-03-01

Size:

14 pages

ISSN:

1096-2247 , 2162-2906

DOI:

https://doi.org/10.1080/10473289.2003.10466155

Type of media:

Article (Journal)

Type of material:

Electronic Resource

Language:

Unknown

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