Vertical characteristics and source identification of PM10 in Tianjin
Ambient PM10 (particulate matter with a diameter less than 10 microm) concentrations were measured on a 255 meter tower in Tianjin, China. The samples were collected at four vertical levels (10, 40, 120 and 220 m). Vertical characteristics for PM10 samples were studied. The results showed that the c...
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Veröffentlicht in: | Journal of environmental sciences (China) 2012, Vol.24 (1), p.112-115 |
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creator | Xiao, Zhimei Wu, Jianhui Han, Suqin Zhang, Yufen Xu, Hong Zhang, Xiaoyong Shi, Guoliang Feng, Yinchang |
description | Ambient PM10 (particulate matter with a diameter less than 10 microm) concentrations were measured on a 255 meter tower in Tianjin, China. The samples were collected at four vertical levels (10, 40, 120 and 220 m). Vertical characteristics for PM10 samples were studied. The results showed that the concentrations of PM10 and constituent species had a negative correlation with the sampling height. The highest concentrations of PM10 and species were obtained at the 10 m level, and the lowest concentrations were measured at the 220 m level. For the fractions of species to total mass, SO4(2-) and NO3- had higher values (fraction) at greater height; while Ca had a higher fraction at lower height. Possible source categories for the PM10 ambient dataset were identified by the principal component analysis method. The possible source categories included crustal dust, vehicles, cement dust, and incineration as well as secondary sulfate and nitrate sources. Analysis of meteorological factors on PM10 concentrations indicated that wind speed and inversion may be the main factors contributing to different concentrations of PM10 at different heights. |
doi_str_mv | 10.1016/S1001-0742(11)60734-1 |
format | Article |
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The samples were collected at four vertical levels (10, 40, 120 and 220 m). Vertical characteristics for PM10 samples were studied. The results showed that the concentrations of PM10 and constituent species had a negative correlation with the sampling height. The highest concentrations of PM10 and species were obtained at the 10 m level, and the lowest concentrations were measured at the 220 m level. For the fractions of species to total mass, SO4(2-) and NO3- had higher values (fraction) at greater height; while Ca had a higher fraction at lower height. Possible source categories for the PM10 ambient dataset were identified by the principal component analysis method. The possible source categories included crustal dust, vehicles, cement dust, and incineration as well as secondary sulfate and nitrate sources. Analysis of meteorological factors on PM10 concentrations indicated that wind speed and inversion may be the main factors contributing to different concentrations of PM10 at different heights.</description><identifier>ISSN: 1001-0742</identifier><identifier>DOI: 10.1016/S1001-0742(11)60734-1</identifier><identifier>PMID: 22783621</identifier><language>eng</language><publisher>Netherlands: State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tlanjin 300071, China%State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tlanjin 300071, China</publisher><subject>Air Pollutants - analysis ; China ; Dust - analysis ; Environmental Monitoring - methods ; Geography ; Particulate Matter - analysis</subject><ispartof>Journal of environmental sciences (China), 2012, Vol.24 (1), p.112-115</ispartof><rights>Copyright © Wanfang Data Co. 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The samples were collected at four vertical levels (10, 40, 120 and 220 m). Vertical characteristics for PM10 samples were studied. The results showed that the concentrations of PM10 and constituent species had a negative correlation with the sampling height. The highest concentrations of PM10 and species were obtained at the 10 m level, and the lowest concentrations were measured at the 220 m level. For the fractions of species to total mass, SO4(2-) and NO3- had higher values (fraction) at greater height; while Ca had a higher fraction at lower height. Possible source categories for the PM10 ambient dataset were identified by the principal component analysis method. The possible source categories included crustal dust, vehicles, cement dust, and incineration as well as secondary sulfate and nitrate sources. Analysis of meteorological factors on PM10 concentrations indicated that wind speed and inversion may be the main factors contributing to different concentrations of PM10 at different heights.</description><subject>Air Pollutants - analysis</subject><subject>China</subject><subject>Dust - analysis</subject><subject>Environmental Monitoring - methods</subject><subject>Geography</subject><subject>Particulate Matter - analysis</subject><issn>1001-0742</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNo90N9LwzAQB_A8KG5O_wQlTzIfqndJmiyPMuYPmCg4fS1pmmhGl86mRfzvrWwKBwdfPtwdR8gZwhUCyusXBMAMlGBTxEsJiosMD8j4Px6R45TWACByyI_IiDE145LhmCzeXNsFa2pqP0xrbOfakIYgURMrmpq-tY6GysUu-IF1oYm08fT5EYGGSFfBxHWIJ-TQmzq5032fkNfbxWp-ny2f7h7mN8tsi4p1GQcvSstKXQnmvFPCSZhJWeZCeY_SYl4qXyqpGCsZ11ortDlzudEVB805n5CL3dwvE72J78V6ODAOG4u1S4VjgEMB_sLpDm7b5rN3qSs2IVlX1ya6pk8FAhOaM9R6oOd72pcbVxXbNmxM-138_Yj_AMMcZVo</recordid><startdate>2012</startdate><enddate>2012</enddate><creator>Xiao, Zhimei</creator><creator>Wu, Jianhui</creator><creator>Han, Suqin</creator><creator>Zhang, Yufen</creator><creator>Xu, Hong</creator><creator>Zhang, Xiaoyong</creator><creator>Shi, Guoliang</creator><creator>Feng, Yinchang</creator><general>State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tlanjin 300071, China%State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tlanjin 300071, China</general><general>Tianjin Meteorological Administration, Tianjin 300071, China</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>7X8</scope><scope>2B.</scope><scope>4A8</scope><scope>92I</scope><scope>93N</scope><scope>PSX</scope><scope>TCJ</scope></search><sort><creationdate>2012</creationdate><title>Vertical characteristics and source identification of PM10 in Tianjin</title><author>Xiao, Zhimei ; Wu, Jianhui ; Han, Suqin ; Zhang, Yufen ; Xu, Hong ; Zhang, Xiaoyong ; Shi, Guoliang ; Feng, Yinchang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p172t-30f4bc2b9d42efe74e60866b547ff16c15b7fb76722b2399971c52e5a9d309333</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Air Pollutants - analysis</topic><topic>China</topic><topic>Dust - analysis</topic><topic>Environmental Monitoring - methods</topic><topic>Geography</topic><topic>Particulate Matter - analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Xiao, Zhimei</creatorcontrib><creatorcontrib>Wu, Jianhui</creatorcontrib><creatorcontrib>Han, Suqin</creatorcontrib><creatorcontrib>Zhang, Yufen</creatorcontrib><creatorcontrib>Xu, Hong</creatorcontrib><creatorcontrib>Zhang, Xiaoyong</creatorcontrib><creatorcontrib>Shi, Guoliang</creatorcontrib><creatorcontrib>Feng, Yinchang</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>MEDLINE - Academic</collection><collection>Wanfang Data Journals - Hong Kong</collection><collection>WANFANG Data Centre</collection><collection>Wanfang Data Journals</collection><collection>万方数据期刊 - 香港版</collection><collection>China Online Journals (COJ)</collection><collection>China Online Journals (COJ)</collection><jtitle>Journal of environmental sciences (China)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Xiao, Zhimei</au><au>Wu, Jianhui</au><au>Han, Suqin</au><au>Zhang, Yufen</au><au>Xu, Hong</au><au>Zhang, Xiaoyong</au><au>Shi, Guoliang</au><au>Feng, Yinchang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Vertical characteristics and source identification of PM10 in Tianjin</atitle><jtitle>Journal of environmental sciences (China)</jtitle><addtitle>J Environ Sci (China)</addtitle><date>2012</date><risdate>2012</risdate><volume>24</volume><issue>1</issue><spage>112</spage><epage>115</epage><pages>112-115</pages><issn>1001-0742</issn><abstract>Ambient PM10 (particulate matter with a diameter less than 10 microm) concentrations were measured on a 255 meter tower in Tianjin, China. The samples were collected at four vertical levels (10, 40, 120 and 220 m). Vertical characteristics for PM10 samples were studied. The results showed that the concentrations of PM10 and constituent species had a negative correlation with the sampling height. The highest concentrations of PM10 and species were obtained at the 10 m level, and the lowest concentrations were measured at the 220 m level. For the fractions of species to total mass, SO4(2-) and NO3- had higher values (fraction) at greater height; while Ca had a higher fraction at lower height. Possible source categories for the PM10 ambient dataset were identified by the principal component analysis method. The possible source categories included crustal dust, vehicles, cement dust, and incineration as well as secondary sulfate and nitrate sources. Analysis of meteorological factors on PM10 concentrations indicated that wind speed and inversion may be the main factors contributing to different concentrations of PM10 at different heights.</abstract><cop>Netherlands</cop><pub>State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tlanjin 300071, China%State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tlanjin 300071, China</pub><pmid>22783621</pmid><doi>10.1016/S1001-0742(11)60734-1</doi><tpages>4</tpages></addata></record> |
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source | Elsevier ScienceDirect Journals Complete - AutoHoldings; MEDLINE; Alma/SFX Local Collection |
subjects | Air Pollutants - analysis China Dust - analysis Environmental Monitoring - methods Geography Particulate Matter - analysis |
title | Vertical characteristics and source identification of PM10 in Tianjin |
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