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Chemical characterization of fine particulate matter in Changzhou, China, and source apportionment with offline aerosol mass spectrometry

Knowledge of aerosol chemistry in densely populated regions is critical for effective reduction of air pollution, while such studies have not been conducted in Changzhou, an important manufacturing base and populated city in the Yangtze River Delta (YRD), China. This work, for the first time, perfor...

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Published in:Atmospheric chemistry and physics 2017-02, Vol.17 (4), p.2573-2592
Main Authors: Ye, Zhaolian, Liu, Jiashu, Gu, Aijun, Feng, Feifei, Liu, Yuhai, Bi, Chenglu, Xu, Jianzhong, Li, Ling, Chen, Hui, Chen, Yanfang, Dai, Liang, Zhou, Quanfa, Ge, Xinlei
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container_title Atmospheric chemistry and physics
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creator Ye, Zhaolian
Liu, Jiashu
Gu, Aijun
Feng, Feifei
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Chen, Hui
Chen, Yanfang
Dai, Liang
Zhou, Quanfa
Ge, Xinlei
description Knowledge of aerosol chemistry in densely populated regions is critical for effective reduction of air pollution, while such studies have not been conducted in Changzhou, an important manufacturing base and populated city in the Yangtze River Delta (YRD), China. This work, for the first time, performed a thorough chemical characterization on the fine particulate matter (PM2.5) samples, collected during July 2015 to April 2016 across four seasons in this city. A suite of analytical techniques was employed to measure the organic carbon (OC), elemental carbon (EC), water-soluble organic carbon (WSOC), water-soluble inorganic ions (WSIIs), trace elements, and polycyclic aromatic hydrocarbons (PAHs) in PM2.5; in particular, an Aerodyne soot particle aerosol mass spectrometer (SP-AMS) was deployed to probe the chemical properties of water-soluble organic aerosol (WSOA). The average PM2.5 concentration was found to be 108.3 µg m−3, and all identified species were able to reconstruct ∼ 80 % of the PM2.5 mass. The WSIIs occupied about half of the PM2.5 mass (∼ 52.1 %), with SO42−, NO3−, and NH4+ as the major ions. On average, nitrate concentrations dominated over sulfate (mass ratio of 1.21), indicating that traffic emissions were more important than stationary sources. OC and EC correlated well with each other and the highest OC ∕ EC ratio (5.16) occurred in winter, suggesting complex OC sources likely including both secondary and primary ones. Concentrations of eight trace elements (Mn, Zn, Al, B, Cr, Cu, Fe, Pb) can contribute up to ∼ 5.0 % of PM2.5 during winter. PAH concentrations were also high in winter (140.25 ng m−3), which were predominated by median/high molecular weight PAHs with five and six rings. The organic matter including both water-soluble and water-insoluble species occupied ∼ 21.5 % of the PM2.5 mass. SP-AMS determined that the WSOA had average atomic oxygen-to-carbon (O ∕ C), hydrogen-to-carbon (H ∕ C), nitrogen-to-carbon (N ∕ C), and organic matter-to-organic carbon (OM ∕ OC) ratios of 0.54, 1.69, 0.11, and 1.99, respectively. Source apportionment of WSOA further identified two secondary OA (SOA) factors (a less oxidized and a more oxidized oxygenated OA) and two primary OA (POA) factors (a nitrogen-enriched hydrocarbon-like traffic OA and a local primary OA likely including species from cooking, coal combustion, etc.). On average, the POA contribution outweighed SOA (55 % vs. 45 %), indicating the important role of local anthropogenic emissi
doi_str_mv 10.5194/acp-17-2573-2017
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This work, for the first time, performed a thorough chemical characterization on the fine particulate matter (PM2.5) samples, collected during July 2015 to April 2016 across four seasons in this city. A suite of analytical techniques was employed to measure the organic carbon (OC), elemental carbon (EC), water-soluble organic carbon (WSOC), water-soluble inorganic ions (WSIIs), trace elements, and polycyclic aromatic hydrocarbons (PAHs) in PM2.5; in particular, an Aerodyne soot particle aerosol mass spectrometer (SP-AMS) was deployed to probe the chemical properties of water-soluble organic aerosol (WSOA). The average PM2.5 concentration was found to be 108.3 µg m−3, and all identified species were able to reconstruct ∼ 80 % of the PM2.5 mass. The WSIIs occupied about half of the PM2.5 mass (∼ 52.1 %), with SO42−, NO3−, and NH4+ as the major ions. On average, nitrate concentrations dominated over sulfate (mass ratio of 1.21), indicating that traffic emissions were more important than stationary sources. OC and EC correlated well with each other and the highest OC ∕ EC ratio (5.16) occurred in winter, suggesting complex OC sources likely including both secondary and primary ones. Concentrations of eight trace elements (Mn, Zn, Al, B, Cr, Cu, Fe, Pb) can contribute up to ∼ 5.0 % of PM2.5 during winter. PAH concentrations were also high in winter (140.25 ng m−3), which were predominated by median/high molecular weight PAHs with five and six rings. The organic matter including both water-soluble and water-insoluble species occupied ∼ 21.5 % of the PM2.5 mass. SP-AMS determined that the WSOA had average atomic oxygen-to-carbon (O ∕ C), hydrogen-to-carbon (H ∕ C), nitrogen-to-carbon (N ∕ C), and organic matter-to-organic carbon (OM ∕ OC) ratios of 0.54, 1.69, 0.11, and 1.99, respectively. Source apportionment of WSOA further identified two secondary OA (SOA) factors (a less oxidized and a more oxidized oxygenated OA) and two primary OA (POA) factors (a nitrogen-enriched hydrocarbon-like traffic OA and a local primary OA likely including species from cooking, coal combustion, etc.). On average, the POA contribution outweighed SOA (55 % vs. 45 %), indicating the important role of local anthropogenic emissions in the aerosol pollution in Changzhou. Our measurement also shows the abundance of organic nitrogen species in WSOA, and the source analyses suggest these species are likely associated with traffic emissions, which warrants more investigations on PM samples from other locations.</description><identifier>ISSN: 1680-7324</identifier><identifier>ISSN: 1680-7316</identifier><identifier>EISSN: 1680-7324</identifier><identifier>DOI: 10.5194/acp-17-2573-2017</identifier><language>eng</language><publisher>Katlenburg-Lindau: Copernicus GmbH</publisher><subject>Aerosol chemistry ; Aerosols ; Air pollution ; Air pollution control ; Aluminum ; Analytical methods ; Anthropogenic factors ; Apportionment ; Aromatic compounds ; Aromatic hydrocarbons ; Atmospheric aerosols ; Atomic oxygen ; Atomic properties ; Carbon ; Chemical properties ; Chemicophysical properties ; Chromium ; Coal combustion ; Cooking ; Copper ; Emissions ; Humidity ; Hydrocarbons ; Hydrogen ; Identification ; Ions ; Iron ; Manganese ; Mass spectrometry ; Mass spectroscopy ; Molecular weight ; Nitrates ; Nitrogen ; Nitrogen enrichment ; Organic carbon ; Organic matter ; Organic nitrogen ; Outdoor air quality ; Oxygen ; Oxygen enrichment ; Particulate emissions ; Particulate matter ; Particulate matter sources ; Polycyclic aromatic hydrocarbons ; Population density ; Ratios ; Scientific imaging ; Soot ; Species ; Stationary sources ; Sulfates ; Suspended particulate matter ; Trace elements ; Vehicle emissions ; Water ; Water analysis ; Water chemistry ; Water pollution ; Winter ; Zinc</subject><ispartof>Atmospheric chemistry and physics, 2017-02, Vol.17 (4), p.2573-2592</ispartof><rights>Copyright Copernicus GmbH 2017</rights><rights>2017. 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This work, for the first time, performed a thorough chemical characterization on the fine particulate matter (PM2.5) samples, collected during July 2015 to April 2016 across four seasons in this city. A suite of analytical techniques was employed to measure the organic carbon (OC), elemental carbon (EC), water-soluble organic carbon (WSOC), water-soluble inorganic ions (WSIIs), trace elements, and polycyclic aromatic hydrocarbons (PAHs) in PM2.5; in particular, an Aerodyne soot particle aerosol mass spectrometer (SP-AMS) was deployed to probe the chemical properties of water-soluble organic aerosol (WSOA). The average PM2.5 concentration was found to be 108.3 µg m−3, and all identified species were able to reconstruct ∼ 80 % of the PM2.5 mass. The WSIIs occupied about half of the PM2.5 mass (∼ 52.1 %), with SO42−, NO3−, and NH4+ as the major ions. On average, nitrate concentrations dominated over sulfate (mass ratio of 1.21), indicating that traffic emissions were more important than stationary sources. OC and EC correlated well with each other and the highest OC ∕ EC ratio (5.16) occurred in winter, suggesting complex OC sources likely including both secondary and primary ones. Concentrations of eight trace elements (Mn, Zn, Al, B, Cr, Cu, Fe, Pb) can contribute up to ∼ 5.0 % of PM2.5 during winter. PAH concentrations were also high in winter (140.25 ng m−3), which were predominated by median/high molecular weight PAHs with five and six rings. The organic matter including both water-soluble and water-insoluble species occupied ∼ 21.5 % of the PM2.5 mass. SP-AMS determined that the WSOA had average atomic oxygen-to-carbon (O ∕ C), hydrogen-to-carbon (H ∕ C), nitrogen-to-carbon (N ∕ C), and organic matter-to-organic carbon (OM ∕ OC) ratios of 0.54, 1.69, 0.11, and 1.99, respectively. Source apportionment of WSOA further identified two secondary OA (SOA) factors (a less oxidized and a more oxidized oxygenated OA) and two primary OA (POA) factors (a nitrogen-enriched hydrocarbon-like traffic OA and a local primary OA likely including species from cooking, coal combustion, etc.). On average, the POA contribution outweighed SOA (55 % vs. 45 %), indicating the important role of local anthropogenic emissions in the aerosol pollution in Changzhou. Our measurement also shows the abundance of organic nitrogen species in WSOA, and the source analyses suggest these species are likely associated with traffic emissions, which warrants more investigations on PM samples from other locations.</description><subject>Aerosol chemistry</subject><subject>Aerosols</subject><subject>Air pollution</subject><subject>Air pollution control</subject><subject>Aluminum</subject><subject>Analytical methods</subject><subject>Anthropogenic factors</subject><subject>Apportionment</subject><subject>Aromatic compounds</subject><subject>Aromatic hydrocarbons</subject><subject>Atmospheric aerosols</subject><subject>Atomic oxygen</subject><subject>Atomic properties</subject><subject>Carbon</subject><subject>Chemical properties</subject><subject>Chemicophysical properties</subject><subject>Chromium</subject><subject>Coal combustion</subject><subject>Cooking</subject><subject>Copper</subject><subject>Emissions</subject><subject>Humidity</subject><subject>Hydrocarbons</subject><subject>Hydrogen</subject><subject>Identification</subject><subject>Ions</subject><subject>Iron</subject><subject>Manganese</subject><subject>Mass spectrometry</subject><subject>Mass spectroscopy</subject><subject>Molecular weight</subject><subject>Nitrates</subject><subject>Nitrogen</subject><subject>Nitrogen enrichment</subject><subject>Organic carbon</subject><subject>Organic matter</subject><subject>Organic nitrogen</subject><subject>Outdoor air quality</subject><subject>Oxygen</subject><subject>Oxygen enrichment</subject><subject>Particulate emissions</subject><subject>Particulate matter</subject><subject>Particulate matter sources</subject><subject>Polycyclic aromatic hydrocarbons</subject><subject>Population density</subject><subject>Ratios</subject><subject>Scientific imaging</subject><subject>Soot</subject><subject>Species</subject><subject>Stationary sources</subject><subject>Sulfates</subject><subject>Suspended particulate matter</subject><subject>Trace elements</subject><subject>Vehicle emissions</subject><subject>Water</subject><subject>Water analysis</subject><subject>Water chemistry</subject><subject>Water pollution</subject><subject>Winter</subject><subject>Zinc</subject><issn>1680-7324</issn><issn>1680-7316</issn><issn>1680-7324</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNp9kc1u1TAQRiMEEqWwZ2mJbUP9FydeoisolSqxgbU1sceNr5I42L5C7Rvw1ji9CHXFakajo6OZ-ZrmPaMfO6blNditZX3Lu160nLL-RXPB1EDbXnD58ln_unmT85FS3lEmL5rfhwmXYGEmdoIEtmAKj1BCXEn0xIcVyQapBHuaoSBZoFSChJUcJljvH6d4uqptWOGKwOpIjqdkkcC2xbRLFlwL-RXKVG1-3m2AKeY4V1POJG9oS4oLlvTwtnnlYc747m-9bH58-fz98LW9-3Zze_h011pJ-9IKSr2QnVOjsmpAy7mzgiu0WtHBStDKe46DQhDOcz6iZ2LkTtlRiUFW9rK5PXtdhKPZUlggPZgIwTwNYro3TwfPaPhomXZ8rDYrHWVaobPoteXQi4Hq6vpwdm0p_jxhLuZYH7DW9Q2XTHZacS3-R7Gh55xSLWml6Jmy9UE5of-3G6Nmj9jUiA3rzR6x2SMWfwCex5y0</recordid><startdate>20170220</startdate><enddate>20170220</enddate><creator>Ye, Zhaolian</creator><creator>Liu, Jiashu</creator><creator>Gu, Aijun</creator><creator>Feng, Feifei</creator><creator>Liu, Yuhai</creator><creator>Bi, Chenglu</creator><creator>Xu, Jianzhong</creator><creator>Li, Ling</creator><creator>Chen, Hui</creator><creator>Chen, Yanfang</creator><creator>Dai, Liang</creator><creator>Zhou, Quanfa</creator><creator>Ge, Xinlei</creator><general>Copernicus GmbH</general><general>Copernicus Publications</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7TG</scope><scope>7TN</scope><scope>7UA</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BFMQW</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>H8D</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>L7M</scope><scope>P5Z</scope><scope>P62</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PYCSY</scope><scope>DOA</scope></search><sort><creationdate>20170220</creationdate><title>Chemical characterization of fine particulate matter in Changzhou, China, and source apportionment with offline aerosol mass spectrometry</title><author>Ye, Zhaolian ; Liu, Jiashu ; Gu, Aijun ; Feng, Feifei ; Liu, Yuhai ; Bi, Chenglu ; Xu, Jianzhong ; Li, Ling ; Chen, Hui ; Chen, Yanfang ; Dai, Liang ; Zhou, Quanfa ; Ge, Xinlei</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c407t-300f345d6b6c68ec22dc326ec9608c4a96ff2e86ea3df22bef13b2d6cb6384dc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Aerosol chemistry</topic><topic>Aerosols</topic><topic>Air pollution</topic><topic>Air pollution control</topic><topic>Aluminum</topic><topic>Analytical methods</topic><topic>Anthropogenic factors</topic><topic>Apportionment</topic><topic>Aromatic compounds</topic><topic>Aromatic hydrocarbons</topic><topic>Atmospheric aerosols</topic><topic>Atomic oxygen</topic><topic>Atomic properties</topic><topic>Carbon</topic><topic>Chemical properties</topic><topic>Chemicophysical properties</topic><topic>Chromium</topic><topic>Coal combustion</topic><topic>Cooking</topic><topic>Copper</topic><topic>Emissions</topic><topic>Humidity</topic><topic>Hydrocarbons</topic><topic>Hydrogen</topic><topic>Identification</topic><topic>Ions</topic><topic>Iron</topic><topic>Manganese</topic><topic>Mass spectrometry</topic><topic>Mass spectroscopy</topic><topic>Molecular weight</topic><topic>Nitrates</topic><topic>Nitrogen</topic><topic>Nitrogen enrichment</topic><topic>Organic carbon</topic><topic>Organic matter</topic><topic>Organic nitrogen</topic><topic>Outdoor air quality</topic><topic>Oxygen</topic><topic>Oxygen enrichment</topic><topic>Particulate emissions</topic><topic>Particulate matter</topic><topic>Particulate matter sources</topic><topic>Polycyclic aromatic hydrocarbons</topic><topic>Population density</topic><topic>Ratios</topic><topic>Scientific imaging</topic><topic>Soot</topic><topic>Species</topic><topic>Stationary sources</topic><topic>Sulfates</topic><topic>Suspended particulate matter</topic><topic>Trace elements</topic><topic>Vehicle emissions</topic><topic>Water</topic><topic>Water analysis</topic><topic>Water chemistry</topic><topic>Water pollution</topic><topic>Winter</topic><topic>Zinc</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ye, Zhaolian</creatorcontrib><creatorcontrib>Liu, Jiashu</creatorcontrib><creatorcontrib>Gu, Aijun</creatorcontrib><creatorcontrib>Feng, Feifei</creatorcontrib><creatorcontrib>Liu, Yuhai</creatorcontrib><creatorcontrib>Bi, Chenglu</creatorcontrib><creatorcontrib>Xu, Jianzhong</creatorcontrib><creatorcontrib>Li, Ling</creatorcontrib><creatorcontrib>Chen, Hui</creatorcontrib><creatorcontrib>Chen, Yanfang</creatorcontrib><creatorcontrib>Dai, Liang</creatorcontrib><creatorcontrib>Zhou, Quanfa</creatorcontrib><creatorcontrib>Ge, Xinlei</creatorcontrib><collection>CrossRef</collection><collection>Aqualine</collection><collection>Meteorological &amp; 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This work, for the first time, performed a thorough chemical characterization on the fine particulate matter (PM2.5) samples, collected during July 2015 to April 2016 across four seasons in this city. A suite of analytical techniques was employed to measure the organic carbon (OC), elemental carbon (EC), water-soluble organic carbon (WSOC), water-soluble inorganic ions (WSIIs), trace elements, and polycyclic aromatic hydrocarbons (PAHs) in PM2.5; in particular, an Aerodyne soot particle aerosol mass spectrometer (SP-AMS) was deployed to probe the chemical properties of water-soluble organic aerosol (WSOA). The average PM2.5 concentration was found to be 108.3 µg m−3, and all identified species were able to reconstruct ∼ 80 % of the PM2.5 mass. The WSIIs occupied about half of the PM2.5 mass (∼ 52.1 %), with SO42−, NO3−, and NH4+ as the major ions. On average, nitrate concentrations dominated over sulfate (mass ratio of 1.21), indicating that traffic emissions were more important than stationary sources. OC and EC correlated well with each other and the highest OC ∕ EC ratio (5.16) occurred in winter, suggesting complex OC sources likely including both secondary and primary ones. Concentrations of eight trace elements (Mn, Zn, Al, B, Cr, Cu, Fe, Pb) can contribute up to ∼ 5.0 % of PM2.5 during winter. PAH concentrations were also high in winter (140.25 ng m−3), which were predominated by median/high molecular weight PAHs with five and six rings. The organic matter including both water-soluble and water-insoluble species occupied ∼ 21.5 % of the PM2.5 mass. SP-AMS determined that the WSOA had average atomic oxygen-to-carbon (O ∕ C), hydrogen-to-carbon (H ∕ C), nitrogen-to-carbon (N ∕ C), and organic matter-to-organic carbon (OM ∕ OC) ratios of 0.54, 1.69, 0.11, and 1.99, respectively. Source apportionment of WSOA further identified two secondary OA (SOA) factors (a less oxidized and a more oxidized oxygenated OA) and two primary OA (POA) factors (a nitrogen-enriched hydrocarbon-like traffic OA and a local primary OA likely including species from cooking, coal combustion, etc.). On average, the POA contribution outweighed SOA (55 % vs. 45 %), indicating the important role of local anthropogenic emissions in the aerosol pollution in Changzhou. Our measurement also shows the abundance of organic nitrogen species in WSOA, and the source analyses suggest these species are likely associated with traffic emissions, which warrants more investigations on PM samples from other locations.</abstract><cop>Katlenburg-Lindau</cop><pub>Copernicus GmbH</pub><doi>10.5194/acp-17-2573-2017</doi><tpages>20</tpages><oa>free_for_read</oa></addata></record>
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ispartof Atmospheric chemistry and physics, 2017-02, Vol.17 (4), p.2573-2592
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1680-7316
1680-7324
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subjects Aerosol chemistry
Aerosols
Air pollution
Air pollution control
Aluminum
Analytical methods
Anthropogenic factors
Apportionment
Aromatic compounds
Aromatic hydrocarbons
Atmospheric aerosols
Atomic oxygen
Atomic properties
Carbon
Chemical properties
Chemicophysical properties
Chromium
Coal combustion
Cooking
Copper
Emissions
Humidity
Hydrocarbons
Hydrogen
Identification
Ions
Iron
Manganese
Mass spectrometry
Mass spectroscopy
Molecular weight
Nitrates
Nitrogen
Nitrogen enrichment
Organic carbon
Organic matter
Organic nitrogen
Outdoor air quality
Oxygen
Oxygen enrichment
Particulate emissions
Particulate matter
Particulate matter sources
Polycyclic aromatic hydrocarbons
Population density
Ratios
Scientific imaging
Soot
Species
Stationary sources
Sulfates
Suspended particulate matter
Trace elements
Vehicle emissions
Water
Water analysis
Water chemistry
Water pollution
Winter
Zinc
title Chemical characterization of fine particulate matter in Changzhou, China, and source apportionment with offline aerosol mass spectrometry
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