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Impact of Beijing's “Coal to Electricity” program on ambient PM2.5 and the associated reactive oxygen species (ROS)
The Beijing “Coal to Electricity” program provides a unique opportunity to explore air quality impacts by replacing residential coal burning with electrical appliances. In this study, the atmospheric ROS (Gas-phase ROS and Particle-phase ROS, abbreviated to G-ROS and P-ROS) were measured by an onlin...
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Published in: | Journal of environmental sciences (China) 2023-11, Vol.133, p.93-106 |
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container_title | Journal of environmental sciences (China) |
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creator | Zhao, Kaining Zhang, Yuanxun Shang, Jing Schauer, James J. Huang, Wei Tian, Jingyu Yang, Shujian Fang, Dongqing Zhang, Dong |
description | The Beijing “Coal to Electricity” program provides a unique opportunity to explore air quality impacts by replacing residential coal burning with electrical appliances. In this study, the atmospheric ROS (Gas-phase ROS and Particle-phase ROS, abbreviated to G-ROS and P-ROS) were measured by an online instrument in parallel with concurrent PM2.5 sample collections analyzed for chemical composition and cellular ROS in a baseline year (Coal Use Year-CUY) and the first year following implementation of the “Coal to Electricity” program (Coal Ban Year-CBY). The results showed PM2.5 concentrations had no significant difference between the two sampling periods, but the activities of G-ROS, P-ROS, and cellular ROS in CBY were 8.72 nmol H2O2/m3, 9.82 nmol H2O2/m3, and 2045.75 µg UD /mg PM higher than in CUY.
Six sources were identified by factor-analysis from the chemical components of PM2.5. Secondary sources (SECs) were the dominant source of PM2.5 in the two periods, with 15.90% higher contribution in CBY than in CUY. Industrial Emission & Coal Combustion sources (Ind. & CCs), mainly from regional transport, also increased significantly in CBY. The contributions of Aged Sea Salt & Residential Burning sources to PM2.5 decreased 5.31% from CUY to CBY. The correlation results illustrated that Ind. & CCs had significant positive correlations with atmospheric ROS, and SECs significantly associated with cellular ROS, especially nitrates (r = 0.626, p = 0.000). Therefore, the implementation of the “Coal to Electricity” program reduced PM2.5 contributions from coal and biomass combustion, but had little effect on the improvement of atmospheric and cellular ROS. |
doi_str_mv | 10.1016/j.jes.2022.06.038 |
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Six sources were identified by factor-analysis from the chemical components of PM2.5. Secondary sources (SECs) were the dominant source of PM2.5 in the two periods, with 15.90% higher contribution in CBY than in CUY. Industrial Emission & Coal Combustion sources (Ind. & CCs), mainly from regional transport, also increased significantly in CBY. The contributions of Aged Sea Salt & Residential Burning sources to PM2.5 decreased 5.31% from CUY to CBY. The correlation results illustrated that Ind. & CCs had significant positive correlations with atmospheric ROS, and SECs significantly associated with cellular ROS, especially nitrates (r = 0.626, p = 0.000). Therefore, the implementation of the “Coal to Electricity” program reduced PM2.5 contributions from coal and biomass combustion, but had little effect on the improvement of atmospheric and cellular ROS.</description><identifier>ISSN: 1001-0742</identifier><identifier>EISSN: 1878-7320</identifier><identifier>DOI: 10.1016/j.jes.2022.06.038</identifier><language>eng</language><publisher>Elsevier B.V</publisher><subject>Correlation ; Factor analysis (FA) ; PM2.5 ; Principal component regression (PCR) ; Reactive oxygen species (ROS)</subject><ispartof>Journal of environmental sciences (China), 2023-11, Vol.133, p.93-106</ispartof><rights>2022</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c330t-ce78ceb34473ea58553bc3a97dcf91c0f65648a0d92f9d1a187bebec4327cc43</citedby><cites>FETCH-LOGICAL-c330t-ce78ceb34473ea58553bc3a97dcf91c0f65648a0d92f9d1a187bebec4327cc43</cites><orcidid>0000-0001-9928-731X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,778,782,27911,27912</link.rule.ids></links><search><creatorcontrib>Zhao, Kaining</creatorcontrib><creatorcontrib>Zhang, Yuanxun</creatorcontrib><creatorcontrib>Shang, Jing</creatorcontrib><creatorcontrib>Schauer, James J.</creatorcontrib><creatorcontrib>Huang, Wei</creatorcontrib><creatorcontrib>Tian, Jingyu</creatorcontrib><creatorcontrib>Yang, Shujian</creatorcontrib><creatorcontrib>Fang, Dongqing</creatorcontrib><creatorcontrib>Zhang, Dong</creatorcontrib><title>Impact of Beijing's “Coal to Electricity” program on ambient PM2.5 and the associated reactive oxygen species (ROS)</title><title>Journal of environmental sciences (China)</title><description>The Beijing “Coal to Electricity” program provides a unique opportunity to explore air quality impacts by replacing residential coal burning with electrical appliances. In this study, the atmospheric ROS (Gas-phase ROS and Particle-phase ROS, abbreviated to G-ROS and P-ROS) were measured by an online instrument in parallel with concurrent PM2.5 sample collections analyzed for chemical composition and cellular ROS in a baseline year (Coal Use Year-CUY) and the first year following implementation of the “Coal to Electricity” program (Coal Ban Year-CBY). The results showed PM2.5 concentrations had no significant difference between the two sampling periods, but the activities of G-ROS, P-ROS, and cellular ROS in CBY were 8.72 nmol H2O2/m3, 9.82 nmol H2O2/m3, and 2045.75 µg UD /mg PM higher than in CUY.
Six sources were identified by factor-analysis from the chemical components of PM2.5. Secondary sources (SECs) were the dominant source of PM2.5 in the two periods, with 15.90% higher contribution in CBY than in CUY. Industrial Emission & Coal Combustion sources (Ind. & CCs), mainly from regional transport, also increased significantly in CBY. The contributions of Aged Sea Salt & Residential Burning sources to PM2.5 decreased 5.31% from CUY to CBY. The correlation results illustrated that Ind. & CCs had significant positive correlations with atmospheric ROS, and SECs significantly associated with cellular ROS, especially nitrates (r = 0.626, p = 0.000). Therefore, the implementation of the “Coal to Electricity” program reduced PM2.5 contributions from coal and biomass combustion, but had little effect on the improvement of atmospheric and cellular ROS.</description><subject>Correlation</subject><subject>Factor analysis (FA)</subject><subject>PM2.5</subject><subject>Principal component regression (PCR)</subject><subject>Reactive oxygen species (ROS)</subject><issn>1001-0742</issn><issn>1878-7320</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp9kLtOxDAQRSMEEs8PoHMHFAljO09RwYqXtGgR0FuOM1kcJfFie4Ht-BD4Ob4Eo6WmmZni3qu5J4oOKSQUaH7aJR26hAFjCeQJ8HIj2qFlUcYFZ7AZbgAaQ5Gy7WjXuQ4A0gyynejtdlhI5YlpyQXqTo_zI0e-Pz4nRvbEG3LZo_JWK-1X3x9fZGHN3MqBmJHIodY4enJ_x5KMyLEh_hmJdM4oLT02xGII1q9IzPtqjiNxC1QaHTl-mD2e7EdbrewdHvztvejp6vJpchNPZ9e3k_NprDgHHyssSoU1T9OCo8zKLOO14rIqGtVWVEGbZ3laSmgq1lYNlaFyjTWqlLNChbkXHa9jw-MvS3ReDNop7Hs5olk6wUpesrTKqypI6VqqrHHOYisWVg_SrgQF8ctYdCIwFr-MBeQiMA6es7UHQ4VXjVa4UHFU2GgbuInG6H_cP-zGhoQ</recordid><startdate>202311</startdate><enddate>202311</enddate><creator>Zhao, Kaining</creator><creator>Zhang, Yuanxun</creator><creator>Shang, Jing</creator><creator>Schauer, James J.</creator><creator>Huang, Wei</creator><creator>Tian, Jingyu</creator><creator>Yang, Shujian</creator><creator>Fang, Dongqing</creator><creator>Zhang, Dong</creator><general>Elsevier B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-9928-731X</orcidid></search><sort><creationdate>202311</creationdate><title>Impact of Beijing's “Coal to Electricity” program on ambient PM2.5 and the associated reactive oxygen species (ROS)</title><author>Zhao, Kaining ; Zhang, Yuanxun ; Shang, Jing ; Schauer, James J. ; Huang, Wei ; Tian, Jingyu ; Yang, Shujian ; Fang, Dongqing ; Zhang, Dong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c330t-ce78ceb34473ea58553bc3a97dcf91c0f65648a0d92f9d1a187bebec4327cc43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Correlation</topic><topic>Factor analysis (FA)</topic><topic>PM2.5</topic><topic>Principal component regression (PCR)</topic><topic>Reactive oxygen species (ROS)</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhao, Kaining</creatorcontrib><creatorcontrib>Zhang, Yuanxun</creatorcontrib><creatorcontrib>Shang, Jing</creatorcontrib><creatorcontrib>Schauer, James J.</creatorcontrib><creatorcontrib>Huang, Wei</creatorcontrib><creatorcontrib>Tian, Jingyu</creatorcontrib><creatorcontrib>Yang, Shujian</creatorcontrib><creatorcontrib>Fang, Dongqing</creatorcontrib><creatorcontrib>Zhang, Dong</creatorcontrib><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of environmental sciences (China)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhao, Kaining</au><au>Zhang, Yuanxun</au><au>Shang, Jing</au><au>Schauer, James J.</au><au>Huang, Wei</au><au>Tian, Jingyu</au><au>Yang, Shujian</au><au>Fang, Dongqing</au><au>Zhang, Dong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Impact of Beijing's “Coal to Electricity” program on ambient PM2.5 and the associated reactive oxygen species (ROS)</atitle><jtitle>Journal of environmental sciences (China)</jtitle><date>2023-11</date><risdate>2023</risdate><volume>133</volume><spage>93</spage><epage>106</epage><pages>93-106</pages><issn>1001-0742</issn><eissn>1878-7320</eissn><abstract>The Beijing “Coal to Electricity” program provides a unique opportunity to explore air quality impacts by replacing residential coal burning with electrical appliances. In this study, the atmospheric ROS (Gas-phase ROS and Particle-phase ROS, abbreviated to G-ROS and P-ROS) were measured by an online instrument in parallel with concurrent PM2.5 sample collections analyzed for chemical composition and cellular ROS in a baseline year (Coal Use Year-CUY) and the first year following implementation of the “Coal to Electricity” program (Coal Ban Year-CBY). The results showed PM2.5 concentrations had no significant difference between the two sampling periods, but the activities of G-ROS, P-ROS, and cellular ROS in CBY were 8.72 nmol H2O2/m3, 9.82 nmol H2O2/m3, and 2045.75 µg UD /mg PM higher than in CUY.
Six sources were identified by factor-analysis from the chemical components of PM2.5. Secondary sources (SECs) were the dominant source of PM2.5 in the two periods, with 15.90% higher contribution in CBY than in CUY. Industrial Emission & Coal Combustion sources (Ind. & CCs), mainly from regional transport, also increased significantly in CBY. The contributions of Aged Sea Salt & Residential Burning sources to PM2.5 decreased 5.31% from CUY to CBY. The correlation results illustrated that Ind. & CCs had significant positive correlations with atmospheric ROS, and SECs significantly associated with cellular ROS, especially nitrates (r = 0.626, p = 0.000). Therefore, the implementation of the “Coal to Electricity” program reduced PM2.5 contributions from coal and biomass combustion, but had little effect on the improvement of atmospheric and cellular ROS.</abstract><pub>Elsevier B.V</pub><doi>10.1016/j.jes.2022.06.038</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0001-9928-731X</orcidid></addata></record> |
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subjects | Correlation Factor analysis (FA) PM2.5 Principal component regression (PCR) Reactive oxygen species (ROS) |
title | Impact of Beijing's “Coal to Electricity” program on ambient PM2.5 and the associated reactive oxygen species (ROS) |
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