Source-Specific Health Risk Analysis on Particulate Trace Elements: Coal Combustion and Traffic Emission As Major Contributors in Wintertime Beijing
Source apportionment studies of particulate matter (PM) link chemical composition to emission sources, while health risk analyses link health outcomes and chemical composition. There are limited studies to link emission sources and health risks from ambient measurements. We show such an attempt for...
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| Veröffentlicht in: | Environmental science & technology 2018-10, Vol.52 (19), p.10967-10974 |
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| creator | Huang, Ru-Jin Cheng, Rui Jing, Miao Yang, Lu Li, Yongjie Chen, Qi Chen, Yang Yan, Jin Lin, Chunshui Wu, Yunfei Zhang, Renjian El Haddad, Imad Prevot, Andre S. H O’Dowd, Colin D Cao, Junji |
| description | Source apportionment studies of particulate matter (PM) link chemical composition to emission sources, while health risk analyses link health outcomes and chemical composition. There are limited studies to link emission sources and health risks from ambient measurements. We show such an attempt for particulate trace elements. Elements in PM2.5 were measured in wintertime Beijing, and the total concentrations of 14 trace elements were 1.3–7.3 times higher during severe pollution days than during low pollution days. Fe, Zn, and Pb were the most abundant elements independent of the PM pollution levels. Chemical fractionation shows that Pb, Mn, Cd, As, Sr, Co, V, Cu, and Ni were present mainly in the bioavailable fraction. Positive matrix factorization was used to resolve the sources of particulate trace elements into dust, oil combustion, coal combustion, and traffic-related emissions. Traffic-related emission contributed 65% of total mass of the measured elements during low pollution days. However, coal combustion dominated (58%) during severe pollution days. By combining element-specific health risk analyses and source apportionment results, we conclude that traffic-related emission dominates the health risks by particulate trace elements during low pollution days, while coal combustion becomes equally or even more important during moderate and severe pollution days. |
| doi_str_mv | 10.1021/acs.est.8b02091 |
| format | Article |
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H ; O’Dowd, Colin D ; Cao, Junji</creator><creatorcontrib>Huang, Ru-Jin ; Cheng, Rui ; Jing, Miao ; Yang, Lu ; Li, Yongjie ; Chen, Qi ; Chen, Yang ; Yan, Jin ; Lin, Chunshui ; Wu, Yunfei ; Zhang, Renjian ; El Haddad, Imad ; Prevot, Andre S. H ; O’Dowd, Colin D ; Cao, Junji</creatorcontrib><description>Source apportionment studies of particulate matter (PM) link chemical composition to emission sources, while health risk analyses link health outcomes and chemical composition. There are limited studies to link emission sources and health risks from ambient measurements. We show such an attempt for particulate trace elements. Elements in PM2.5 were measured in wintertime Beijing, and the total concentrations of 14 trace elements were 1.3–7.3 times higher during severe pollution days than during low pollution days. Fe, Zn, and Pb were the most abundant elements independent of the PM pollution levels. Chemical fractionation shows that Pb, Mn, Cd, As, Sr, Co, V, Cu, and Ni were present mainly in the bioavailable fraction. Positive matrix factorization was used to resolve the sources of particulate trace elements into dust, oil combustion, coal combustion, and traffic-related emissions. Traffic-related emission contributed 65% of total mass of the measured elements during low pollution days. However, coal combustion dominated (58%) during severe pollution days. By combining element-specific health risk analyses and source apportionment results, we conclude that traffic-related emission dominates the health risks by particulate trace elements during low pollution days, while coal combustion becomes equally or even more important during moderate and severe pollution days.</description><identifier>ISSN: 0013-936X</identifier><identifier>EISSN: 1520-5851</identifier><identifier>DOI: 10.1021/acs.est.8b02091</identifier><identifier>PMID: 30185022</identifier><language>eng</language><publisher>United States: American Chemical Society</publisher><subject>Air pollution ; Bioavailability ; Cadmium ; Chemical composition ; Chemical fractionation ; Chemical pollution ; Coal ; Combustion ; Copper ; Emission analysis ; Emission measurements ; Emissions ; Fractionation ; Health risk assessment ; Health risks ; Lead ; Manganese ; Nickel ; Organic chemistry ; Particulate emissions ; Particulate matter ; Particulates ; Pollution ; Pollution levels ; Pollution sources ; Risk analysis ; Trace elements ; Traffic ; Vehicle emissions ; Winter ; Zinc</subject><ispartof>Environmental science & technology, 2018-10, Vol.52 (19), p.10967-10974</ispartof><rights>Copyright American Chemical Society Oct 2, 2018</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a427t-7144ab09a7181202889249b206af3c6ee012aaf3b24c576e32d561647f8e705e3</citedby><cites>FETCH-LOGICAL-a427t-7144ab09a7181202889249b206af3c6ee012aaf3b24c576e32d561647f8e705e3</cites><orcidid>0000-0003-3175-6778 ; 0000-0002-2461-7238 ; 0000-0002-4907-9616 ; 0000-0002-9243-8194</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://pubs.acs.org/doi/pdf/10.1021/acs.est.8b02091$$EPDF$$P50$$Gacs$$H</linktopdf><linktohtml>$$Uhttps://pubs.acs.org/doi/10.1021/acs.est.8b02091$$EHTML$$P50$$Gacs$$H</linktohtml><link.rule.ids>314,776,780,2752,27053,27901,27902,56713,56763</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30185022$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Huang, Ru-Jin</creatorcontrib><creatorcontrib>Cheng, Rui</creatorcontrib><creatorcontrib>Jing, Miao</creatorcontrib><creatorcontrib>Yang, Lu</creatorcontrib><creatorcontrib>Li, Yongjie</creatorcontrib><creatorcontrib>Chen, Qi</creatorcontrib><creatorcontrib>Chen, Yang</creatorcontrib><creatorcontrib>Yan, Jin</creatorcontrib><creatorcontrib>Lin, Chunshui</creatorcontrib><creatorcontrib>Wu, Yunfei</creatorcontrib><creatorcontrib>Zhang, Renjian</creatorcontrib><creatorcontrib>El Haddad, Imad</creatorcontrib><creatorcontrib>Prevot, Andre S. H</creatorcontrib><creatorcontrib>O’Dowd, Colin D</creatorcontrib><creatorcontrib>Cao, Junji</creatorcontrib><title>Source-Specific Health Risk Analysis on Particulate Trace Elements: Coal Combustion and Traffic Emission As Major Contributors in Wintertime Beijing</title><title>Environmental science & technology</title><addtitle>Environ. Sci. Technol</addtitle><description>Source apportionment studies of particulate matter (PM) link chemical composition to emission sources, while health risk analyses link health outcomes and chemical composition. There are limited studies to link emission sources and health risks from ambient measurements. We show such an attempt for particulate trace elements. Elements in PM2.5 were measured in wintertime Beijing, and the total concentrations of 14 trace elements were 1.3–7.3 times higher during severe pollution days than during low pollution days. Fe, Zn, and Pb were the most abundant elements independent of the PM pollution levels. Chemical fractionation shows that Pb, Mn, Cd, As, Sr, Co, V, Cu, and Ni were present mainly in the bioavailable fraction. Positive matrix factorization was used to resolve the sources of particulate trace elements into dust, oil combustion, coal combustion, and traffic-related emissions. Traffic-related emission contributed 65% of total mass of the measured elements during low pollution days. However, coal combustion dominated (58%) during severe pollution days. By combining element-specific health risk analyses and source apportionment results, we conclude that traffic-related emission dominates the health risks by particulate trace elements during low pollution days, while coal combustion becomes equally or even more important during moderate and severe pollution days.</description><subject>Air pollution</subject><subject>Bioavailability</subject><subject>Cadmium</subject><subject>Chemical composition</subject><subject>Chemical fractionation</subject><subject>Chemical pollution</subject><subject>Coal</subject><subject>Combustion</subject><subject>Copper</subject><subject>Emission analysis</subject><subject>Emission measurements</subject><subject>Emissions</subject><subject>Fractionation</subject><subject>Health risk assessment</subject><subject>Health risks</subject><subject>Lead</subject><subject>Manganese</subject><subject>Nickel</subject><subject>Organic chemistry</subject><subject>Particulate emissions</subject><subject>Particulate matter</subject><subject>Particulates</subject><subject>Pollution</subject><subject>Pollution levels</subject><subject>Pollution sources</subject><subject>Risk analysis</subject><subject>Trace elements</subject><subject>Traffic</subject><subject>Vehicle emissions</subject><subject>Winter</subject><subject>Zinc</subject><issn>0013-936X</issn><issn>1520-5851</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp1kU9v1DAQxS1ERZeWMzdkiQsSynZs54_DbVkttFIRqC2CWzTxTsBL4mxt59DvwQfG0S49IHGxLev33ozeY-ylgKUAKS7QhCWFuNQtSKjFE7YQhYSs0IV4yhYAQmW1Kr-fsuch7ABAKtDP2KkCoQuQcsF-346TN5Td7snYzhp-SdjHn_zGhl985bB_CDbw0fEv6KM1U4-R-J1HQ3zT00Auhnd8PWKfjqGdQrSJRbedmW722ww2hPlzFfgn3I0-gS56205x9IFbx79ZFymZD8Tfk91Z9-OcnXTYB3pxvM_Y1w-bu_Vldv3549V6dZ1hLquYVSLPsYUaK6GFBKl1LfO6lVBip0xJBEJierYyN0VVkpLbohRlXnWaKihInbE3B9-9H--nlGOTljXU9-honEIjBYBSAIVO6Ot_0F0KLuUzU7Ku02yRJ-riQBk_huCpa_beDugfGgHNXFiTCmtm9bGwpHh19J3agbaP_N-GEvD2AMzKx5n_s_sD0j6hAw</recordid><startdate>20181002</startdate><enddate>20181002</enddate><creator>Huang, Ru-Jin</creator><creator>Cheng, Rui</creator><creator>Jing, Miao</creator><creator>Yang, Lu</creator><creator>Li, Yongjie</creator><creator>Chen, Qi</creator><creator>Chen, Yang</creator><creator>Yan, Jin</creator><creator>Lin, Chunshui</creator><creator>Wu, Yunfei</creator><creator>Zhang, Renjian</creator><creator>El Haddad, Imad</creator><creator>Prevot, Andre S. 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| subjects | Air pollution Bioavailability Cadmium Chemical composition Chemical fractionation Chemical pollution Coal Combustion Copper Emission analysis Emission measurements Emissions Fractionation Health risk assessment Health risks Lead Manganese Nickel Organic chemistry Particulate emissions Particulate matter Particulates Pollution Pollution levels Pollution sources Risk analysis Trace elements Traffic Vehicle emissions Winter Zinc |
| title | Source-Specific Health Risk Analysis on Particulate Trace Elements: Coal Combustion and Traffic Emission As Major Contributors in Wintertime Beijing |
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