A multivariate receptor modeling study of air-borne particulate PAHs: Regional contributions in a roadside environment

Bong Mann Kim; Seung Bok Lee; Jin Young Kim; Sunwha Kim; Jihoon Seo; Gwi Nam Bae; Ji Yi Lee

doi:10.1016/j.chemosphere.2015.09.087

A multivariate receptor modeling study of air-borne particulate PAHs: Regional contributions in a roadside environment

Bong Mann Kim, Seung Bok Lee, Jin Young Kim, Sunwha Kim, Jihoon Seo, Gwi Nam Bae, Ji Yi Lee

Department of Environmental Science & Engineering

Research output: Contribution to journal › Article › peer-review

21 Scopus citations

Abstract

Understanding the geographic source contributions by particulate polycyclic aromatic hydrocarbons (PAHs) is important for the Korean peninsula due to its downwind location from source areas. Regional influence of particulate PAHs was previously identified using diagnostic ratios applied to mobile source dominated roadside sampling data (Kim et al., 2012b). However, no study has yet been conducted to quantify the regional source contributions. We applied a multivariate receptor modeling tool to identify and quantify the regional source contributions to particulate PAHs in Seoul. Sampling of roadside particulate PAHs was conducted in Seoul, Korea for four years between May 2005 and April 2009, and data analysis was performed with a new multivariate receptor model, Solver for Mixture Problem (SMP). The SMP model identified two sources, local mobile source and transported regional source, and quantified their source contributions. Analysis of the particulate PAHs data reveals three types of episodic periods: a high regional source contribution period with one case, a high mobile source contribution period with three cases, and a normal contribution period with eight cases. Four-year average particulate PAHs source contributions from the two sources are 4.6 ng m^-3 and 10.7 ng m^-3 for regional and mobile sources, respectively and equivalent to 30% and 70% of the total estimated contribution from each of these sources.

Original language	English
Pages (from-to)	1270-1279
Number of pages	10
Journal	Chemosphere
Volume	144
DOIs	https://doi.org/10.1016/j.chemosphere.2015.09.087
State	Published - 1 Feb 2016

Bibliographical note

Funding Information:
This study was supported by the CEFV (Center for Environmentally Friendly Vehicles) of Eco-STAR project ( 33-1-0-04 ) from MOE (Ministry of Environment, Republic of Korea) and Institutional Program of KIST (Korea Institute of Science and Technology) . B.M. Kim was supported by the Brain Pool program of MSIP (Ministry of Science, ICT and Future Planning) . Appendix A

Publisher Copyright:
© 2015 Elsevier Ltd.

Keywords

Motor vehicle exhaust
Regional source
Roadside PAHs
SMP multivariate model
Source apportionment

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10.1016/j.chemosphere.2015.09.087

Cite this

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title = "A multivariate receptor modeling study of air-borne particulate PAHs: Regional contributions in a roadside environment",

abstract = "Understanding the geographic source contributions by particulate polycyclic aromatic hydrocarbons (PAHs) is important for the Korean peninsula due to its downwind location from source areas. Regional influence of particulate PAHs was previously identified using diagnostic ratios applied to mobile source dominated roadside sampling data (Kim et al., 2012b). However, no study has yet been conducted to quantify the regional source contributions. We applied a multivariate receptor modeling tool to identify and quantify the regional source contributions to particulate PAHs in Seoul. Sampling of roadside particulate PAHs was conducted in Seoul, Korea for four years between May 2005 and April 2009, and data analysis was performed with a new multivariate receptor model, Solver for Mixture Problem (SMP). The SMP model identified two sources, local mobile source and transported regional source, and quantified their source contributions. Analysis of the particulate PAHs data reveals three types of episodic periods: a high regional source contribution period with one case, a high mobile source contribution period with three cases, and a normal contribution period with eight cases. Four-year average particulate PAHs source contributions from the two sources are 4.6 ng m-3 and 10.7 ng m-3 for regional and mobile sources, respectively and equivalent to 30% and 70% of the total estimated contribution from each of these sources.",

keywords = "Motor vehicle exhaust, Regional source, Roadside PAHs, SMP multivariate model, Source apportionment",

author = "Kim, {Bong Mann} and Lee, {Seung Bok} and Kim, {Jin Young} and Sunwha Kim and Jihoon Seo and Bae, {Gwi Nam} and Lee, {Ji Yi}",

note = "Funding Information: This study was supported by the CEFV (Center for Environmentally Friendly Vehicles) of Eco-STAR project ( 33-1-0-04 ) from MOE (Ministry of Environment, Republic of Korea) and Institutional Program of KIST (Korea Institute of Science and Technology) . B.M. Kim was supported by the Brain Pool program of MSIP (Ministry of Science, ICT and Future Planning) . Appendix A Publisher Copyright: {\textcopyright} 2015 Elsevier Ltd.",

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AU - Seo, Jihoon

AU - Bae, Gwi Nam

AU - Lee, Ji Yi

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N2 - Understanding the geographic source contributions by particulate polycyclic aromatic hydrocarbons (PAHs) is important for the Korean peninsula due to its downwind location from source areas. Regional influence of particulate PAHs was previously identified using diagnostic ratios applied to mobile source dominated roadside sampling data (Kim et al., 2012b). However, no study has yet been conducted to quantify the regional source contributions. We applied a multivariate receptor modeling tool to identify and quantify the regional source contributions to particulate PAHs in Seoul. Sampling of roadside particulate PAHs was conducted in Seoul, Korea for four years between May 2005 and April 2009, and data analysis was performed with a new multivariate receptor model, Solver for Mixture Problem (SMP). The SMP model identified two sources, local mobile source and transported regional source, and quantified their source contributions. Analysis of the particulate PAHs data reveals three types of episodic periods: a high regional source contribution period with one case, a high mobile source contribution period with three cases, and a normal contribution period with eight cases. Four-year average particulate PAHs source contributions from the two sources are 4.6 ng m-3 and 10.7 ng m-3 for regional and mobile sources, respectively and equivalent to 30% and 70% of the total estimated contribution from each of these sources.

AB - Understanding the geographic source contributions by particulate polycyclic aromatic hydrocarbons (PAHs) is important for the Korean peninsula due to its downwind location from source areas. Regional influence of particulate PAHs was previously identified using diagnostic ratios applied to mobile source dominated roadside sampling data (Kim et al., 2012b). However, no study has yet been conducted to quantify the regional source contributions. We applied a multivariate receptor modeling tool to identify and quantify the regional source contributions to particulate PAHs in Seoul. Sampling of roadside particulate PAHs was conducted in Seoul, Korea for four years between May 2005 and April 2009, and data analysis was performed with a new multivariate receptor model, Solver for Mixture Problem (SMP). The SMP model identified two sources, local mobile source and transported regional source, and quantified their source contributions. Analysis of the particulate PAHs data reveals three types of episodic periods: a high regional source contribution period with one case, a high mobile source contribution period with three cases, and a normal contribution period with eight cases. Four-year average particulate PAHs source contributions from the two sources are 4.6 ng m-3 and 10.7 ng m-3 for regional and mobile sources, respectively and equivalent to 30% and 70% of the total estimated contribution from each of these sources.

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A multivariate receptor modeling study of air-borne particulate PAHs: Regional contributions in a roadside environment

Abstract

Bibliographical note

Keywords

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