Receptor modeling of airborne ionic species collected in SCAQS

Ning Gao; Meng Dawn Cheng; Philip K. Hopke

doi:10.1016/1352-2310(94)90207-0

Receptor modeling of airborne ionic species collected in SCAQS

Ning Gao, Meng Dawn Cheng, Philip K. Hopke

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51 Scopus citations

Abstract

Source/receptor relationships for inorganic ionic species measured during the Southern California Air Quality Study of 1987 have been investigated using two receptor modeling techniques. The chemical species data were determined using ion chromatography (IC) (NO₃^2-, SO₄^2-, C^-, SO₂), colorimetry (NH₃ and NH₃⁺) and atomic absorption (AA) (PM 10 Na) on samples collected using the SCAQS samplers at three sites: Burbank, Claremont and Rubidoux. In order to compare these generally secondary particulate species with the behavior of primary particles emitted by sources in the South Coast Air Basin (SoCAB), X-ray fluorescence (XRF) analytical results have been combined with the IC, colorimetry and AA results to provide the input data for principal component factor analysis. In general, there were only limited correlations between the secondary ionic species and the trace elements measured by XRF. The XRF results indicated the primary PM2.5 particles originated mainly from marine and soil sources. The factors containing the acidic species were generally separated from those of the trace elements. The acidic species data were combined with meteorological data in the form of air parcel back trajectories to produce conditional probability maps. This approach is called Potential Source Contribution Function (PSCF) analysis. It was found that there was generally good correspondence between the source areas identified by the PSCF maps and those provided in the emission inventory maps for NH₃, SO_x, and NO_x.

Original language	English
Pages (from-to)	1447-1470
Number of pages	24
Journal	Atmospheric Environment
Volume	28
Issue number	8
DOIs	https://doi.org/10.1016/1352-2310(94)90207-0
State	Published - May 1994
Externally published	Yes

Funding

Acknowledgements- This work was supported by the Air Resources Board, State of California under a subcontract from the AeroVironment Inc., California and the National Science Foundation under grant ATM 8996203. We would like to thank Chris Pilinis of AeroVironment who calculated the trajectories and Ron C. Henry at University of Southern California for supplying the corrected XRF trace element data. We would also like lo thank Ying Xie at Clarkson University for her help in performing summary statistics and David Clover for his useful comments. Thanks are also given to Dr Lowell Ashbaugh at California Air Resources Board for his enlightening discussion. Finally we would like lo express our appreciation to A.G. Russell of Carnegie Mellon University for supplying the 1987 emission source inventory data and for his valuable comments and suggestions during the writing of this paper.

Funders	Funder number
AeroVironment Inc.
Air Resources Board, State of California
National Science Foundation	ATM 8996203

Keywords

PSCF analysis
Source-receptor relationships
airborne particles
factor analysis
ionic species

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/1352-2310(94)90207-0

Cite this

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title = "Receptor modeling of airborne ionic species collected in SCAQS",

abstract = "Source/receptor relationships for inorganic ionic species measured during the Southern California Air Quality Study of 1987 have been investigated using two receptor modeling techniques. The chemical species data were determined using ion chromatography (IC) (NO32-, SO42-, C-, SO2), colorimetry (NH3 and NH3+) and atomic absorption (AA) (PM 10 Na) on samples collected using the SCAQS samplers at three sites: Burbank, Claremont and Rubidoux. In order to compare these generally secondary particulate species with the behavior of primary particles emitted by sources in the South Coast Air Basin (SoCAB), X-ray fluorescence (XRF) analytical results have been combined with the IC, colorimetry and AA results to provide the input data for principal component factor analysis. In general, there were only limited correlations between the secondary ionic species and the trace elements measured by XRF. The XRF results indicated the primary PM2.5 particles originated mainly from marine and soil sources. The factors containing the acidic species were generally separated from those of the trace elements. The acidic species data were combined with meteorological data in the form of air parcel back trajectories to produce conditional probability maps. This approach is called Potential Source Contribution Function (PSCF) analysis. It was found that there was generally good correspondence between the source areas identified by the PSCF maps and those provided in the emission inventory maps for NH3, SOx, and NOx.",

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AU - Gao, Ning

AU - Cheng, Meng Dawn

AU - Hopke, Philip K.

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N2 - Source/receptor relationships for inorganic ionic species measured during the Southern California Air Quality Study of 1987 have been investigated using two receptor modeling techniques. The chemical species data were determined using ion chromatography (IC) (NO32-, SO42-, C-, SO2), colorimetry (NH3 and NH3+) and atomic absorption (AA) (PM 10 Na) on samples collected using the SCAQS samplers at three sites: Burbank, Claremont and Rubidoux. In order to compare these generally secondary particulate species with the behavior of primary particles emitted by sources in the South Coast Air Basin (SoCAB), X-ray fluorescence (XRF) analytical results have been combined with the IC, colorimetry and AA results to provide the input data for principal component factor analysis. In general, there were only limited correlations between the secondary ionic species and the trace elements measured by XRF. The XRF results indicated the primary PM2.5 particles originated mainly from marine and soil sources. The factors containing the acidic species were generally separated from those of the trace elements. The acidic species data were combined with meteorological data in the form of air parcel back trajectories to produce conditional probability maps. This approach is called Potential Source Contribution Function (PSCF) analysis. It was found that there was generally good correspondence between the source areas identified by the PSCF maps and those provided in the emission inventory maps for NH3, SOx, and NOx.

AB - Source/receptor relationships for inorganic ionic species measured during the Southern California Air Quality Study of 1987 have been investigated using two receptor modeling techniques. The chemical species data were determined using ion chromatography (IC) (NO32-, SO42-, C-, SO2), colorimetry (NH3 and NH3+) and atomic absorption (AA) (PM 10 Na) on samples collected using the SCAQS samplers at three sites: Burbank, Claremont and Rubidoux. In order to compare these generally secondary particulate species with the behavior of primary particles emitted by sources in the South Coast Air Basin (SoCAB), X-ray fluorescence (XRF) analytical results have been combined with the IC, colorimetry and AA results to provide the input data for principal component factor analysis. In general, there were only limited correlations between the secondary ionic species and the trace elements measured by XRF. The XRF results indicated the primary PM2.5 particles originated mainly from marine and soil sources. The factors containing the acidic species were generally separated from those of the trace elements. The acidic species data were combined with meteorological data in the form of air parcel back trajectories to produce conditional probability maps. This approach is called Potential Source Contribution Function (PSCF) analysis. It was found that there was generally good correspondence between the source areas identified by the PSCF maps and those provided in the emission inventory maps for NH3, SOx, and NOx.

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KW - Source-receptor relationships

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KW - factor analysis

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Receptor modeling of airborne ionic species collected in SCAQS

Abstract

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Keywords

UN SDGs

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