Comprehensive assessment of PM sub(2.5) physicochemical properties during the Southeast Asia dry season (southwest monsoon)

A comprehensive assessment of fine particulate matter (PM sub(2.5)) compositions during the Southeast Asia dry season is presented. Samples of PM sub(2.5) were collected between 24 June and 14 September 2014 using a high-volume sampler. Water-soluble ions, trace species, rare earth elements, and a r...

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Veröffentlicht in:Journal of geophysical research. Atmospheres 2016-12, Vol.121 (24), p.14-611
Hauptverfasser: Khan, Md Firoz, Sulong, Nor Azura, Latif, Mohd Talib, Nadzir, Mohd Shahrul Mohd, Amil, Norhaniza, Hussain, Dini Fajrina Mohd, Lee, Vernon, Hosaini, Puteri Nurafidah, Shaharom, Suhana, Yusoff, Nur Amira Yasmin Mohd, Hoque, Hossain Mohammed Syedul, Chung, Jing Xiang, Sahani, Mazrura, Mohd Tahir, Norhayati, Juneng, Liew, Maulud, Khairul Nizam Abdul, Abdullah, Sharifah Mastura Syed, Fujii, Yusuke, Tohno, Susumu, Mizohata, Akira
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container_issue 24
container_start_page 14
container_title Journal of geophysical research. Atmospheres
container_volume 121
creator Khan, Md Firoz
Sulong, Nor Azura
Latif, Mohd Talib
Nadzir, Mohd Shahrul Mohd
Amil, Norhaniza
Hussain, Dini Fajrina Mohd
Lee, Vernon
Hosaini, Puteri Nurafidah
Shaharom, Suhana
Yusoff, Nur Amira Yasmin Mohd
Hoque, Hossain Mohammed Syedul
Chung, Jing Xiang
Sahani, Mazrura
Mohd Tahir, Norhayati
Juneng, Liew
Maulud, Khairul Nizam Abdul
Abdullah, Sharifah Mastura Syed
Fujii, Yusuke
Tohno, Susumu
Mizohata, Akira
description A comprehensive assessment of fine particulate matter (PM sub(2.5)) compositions during the Southeast Asia dry season is presented. Samples of PM sub(2.5) were collected between 24 June and 14 September 2014 using a high-volume sampler. Water-soluble ions, trace species, rare earth elements, and a range of elemental carbon (EC) and organic carbon were analyzed. The characterization and source apportionment of PM sub(2.5) were investigated. The results showed that the 24h PM sub(2.5) concentration ranged from 6.64 to 68.2 mu gm super(-3). Meteorological driving factors strongly governed the diurnal concentration of aerosol, while the traffic in the morning and evening rush hours coincided with higher levels of CO and NO sub(2). The correlation analysis for non sea-salt K super(+)-EC showed that EC is potentially associated with biomass burning events, while the formation of secondary organic carbon had a moderate association with motor vehicle emissions. Positive matrix factorization (PMF) version 5.0 identified the sources of PM sub(2.5): (i) biomass burning coupled with sea salt [I] (7%), (ii) aged sea salt and mixed industrial emissions (5%), (iii) road dust and fuel oil combustion (7%), (iv) coal-fired combustion (25%), (v) mineral dust (8%), (vi) secondary inorganic aerosol (SIA) coupled with F super(-) (15%), and (vii) motor vehicle emissions coupled with sea salt [II] (24%). Motor vehicle emissions, SIA, and coal-fired power plant are the predominant sources contributing to PM sub(2.5). The response of the potential source contribution function and Hybrid Single-Particle Lagrangian Integrated Trajectory backward trajectory model suggest that the outline of source regions were consistent to the sources by PMF 5.0. Key Points * Physical driving factors govern the concentration of PM sub(2.5) * Morning and evening rush hours coincide with enhanced levels of CO and NO sub(2) * EC is associated with biomass burning, while OC is mainly due to secondary sources
doi_str_mv 10.1002/2016JD025894
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Samples of PM sub(2.5) were collected between 24 June and 14 September 2014 using a high-volume sampler. Water-soluble ions, trace species, rare earth elements, and a range of elemental carbon (EC) and organic carbon were analyzed. The characterization and source apportionment of PM sub(2.5) were investigated. The results showed that the 24h PM sub(2.5) concentration ranged from 6.64 to 68.2 mu gm super(-3). Meteorological driving factors strongly governed the diurnal concentration of aerosol, while the traffic in the morning and evening rush hours coincided with higher levels of CO and NO sub(2). The correlation analysis for non sea-salt K super(+)-EC showed that EC is potentially associated with biomass burning events, while the formation of secondary organic carbon had a moderate association with motor vehicle emissions. Positive matrix factorization (PMF) version 5.0 identified the sources of PM sub(2.5): (i) biomass burning coupled with sea salt [I] (7%), (ii) aged sea salt and mixed industrial emissions (5%), (iii) road dust and fuel oil combustion (7%), (iv) coal-fired combustion (25%), (v) mineral dust (8%), (vi) secondary inorganic aerosol (SIA) coupled with F super(-) (15%), and (vii) motor vehicle emissions coupled with sea salt [II] (24%). Motor vehicle emissions, SIA, and coal-fired power plant are the predominant sources contributing to PM sub(2.5). The response of the potential source contribution function and Hybrid Single-Particle Lagrangian Integrated Trajectory backward trajectory model suggest that the outline of source regions were consistent to the sources by PMF 5.0. 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Positive matrix factorization (PMF) version 5.0 identified the sources of PM sub(2.5): (i) biomass burning coupled with sea salt [I] (7%), (ii) aged sea salt and mixed industrial emissions (5%), (iii) road dust and fuel oil combustion (7%), (iv) coal-fired combustion (25%), (v) mineral dust (8%), (vi) secondary inorganic aerosol (SIA) coupled with F super(-) (15%), and (vii) motor vehicle emissions coupled with sea salt [II] (24%). Motor vehicle emissions, SIA, and coal-fired power plant are the predominant sources contributing to PM sub(2.5). The response of the potential source contribution function and Hybrid Single-Particle Lagrangian Integrated Trajectory backward trajectory model suggest that the outline of source regions were consistent to the sources by PMF 5.0. 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Atmospheres</jtitle><date>2016-12-01</date><risdate>2016</risdate><volume>121</volume><issue>24</issue><spage>14</spage><epage>611</epage><pages>14-611</pages><issn>2169-897X</issn><eissn>2169-8996</eissn><abstract>A comprehensive assessment of fine particulate matter (PM sub(2.5)) compositions during the Southeast Asia dry season is presented. Samples of PM sub(2.5) were collected between 24 June and 14 September 2014 using a high-volume sampler. Water-soluble ions, trace species, rare earth elements, and a range of elemental carbon (EC) and organic carbon were analyzed. The characterization and source apportionment of PM sub(2.5) were investigated. The results showed that the 24h PM sub(2.5) concentration ranged from 6.64 to 68.2 mu gm super(-3). Meteorological driving factors strongly governed the diurnal concentration of aerosol, while the traffic in the morning and evening rush hours coincided with higher levels of CO and NO sub(2). The correlation analysis for non sea-salt K super(+)-EC showed that EC is potentially associated with biomass burning events, while the formation of secondary organic carbon had a moderate association with motor vehicle emissions. Positive matrix factorization (PMF) version 5.0 identified the sources of PM sub(2.5): (i) biomass burning coupled with sea salt [I] (7%), (ii) aged sea salt and mixed industrial emissions (5%), (iii) road dust and fuel oil combustion (7%), (iv) coal-fired combustion (25%), (v) mineral dust (8%), (vi) secondary inorganic aerosol (SIA) coupled with F super(-) (15%), and (vii) motor vehicle emissions coupled with sea salt [II] (24%). Motor vehicle emissions, SIA, and coal-fired power plant are the predominant sources contributing to PM sub(2.5). The response of the potential source contribution function and Hybrid Single-Particle Lagrangian Integrated Trajectory backward trajectory model suggest that the outline of source regions were consistent to the sources by PMF 5.0. Key Points * Physical driving factors govern the concentration of PM sub(2.5) * Morning and evening rush hours coincide with enhanced levels of CO and NO sub(2) * EC is associated with biomass burning, while OC is mainly due to secondary sources</abstract><doi>10.1002/2016JD025894</doi><tpages>598</tpages></addata></record>
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subjects Assessments
Biomass burning
Carbon
Combustion
Emission
Mathematical models
Motor vehicles
Pollution sources
title Comprehensive assessment of PM sub(2.5) physicochemical properties during the Southeast Asia dry season (southwest monsoon)
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