Evolution of surface O3 and PM2.5 concentrations and their relationships with meteorological conditions over the last decade in Beijing.
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| Title: | Evolution of surface O3 and PM2.5 concentrations and their relationships with meteorological conditions over the last decade in Beijing. |
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| Authors: | Zhang, Ziyin1,2 zzy_ahgeo@163.com, Zhang, Xiaoling2, Gong, Daoyi1, Quan, Weijun2, Zhao, Xiujuan2, Ma, Zhiqiang2, Kim, Seong-Joong3 |
| Source: | Atmospheric Environment. May2015, Vol. 108, p67-75. 9p. |
| Subjects: | Atmospheric evolution, Ozone layer, Meteorology, Pollution, Humidity, Regression analysis |
| Geographic Terms: | Beijing (China) |
| Abstract: | In this study, hourly and daily records since 2005 and correlation, regression and composite methods were used to analyze the long-term evolution of surface O 3 and PM 2.5 concentrations at the rural station of Shangdianzi (SDZ) and urban station of Baolian (BL) over Beijing and their relationships with meteorological conditions. The results show that the mean concentrations of PM 2.5 (O 3 ) decreased (increased) at the urban and rural stations over the last decade. The linear trends of the annual mean concentrations of PM 2.5 at BL and SDZ were −31.8 ug/m 3 /10yr (−4.3%/yr) (p < 0.01) and −13.3 ug/m 3 /10yr (−2.9%/yr) (p < 0.05), respectively. In winter, the mean wind speed ( W s ) and relative humidity ( RH ) were the most closely correlated with O 3 at both stations, whereas RH and sunshine hours ( S ) were most closely correlated with PM 2.5 . The correlation coefficients and explained variances in spring and autumn were generally less than those in winter and greater than those in summer. Moreover, increase in precipitation can significantly reduce the PM 2.5 concentration in both urban and rural areas in Beijing, whereas trace and light precipitation more effectively decreases the O 3 concentration. Concentrations of PM 2.5 (O 3 ) on haze days increased by 114% (3%) and 162% (20%) compared with that on non-haze days at the urban and rural stations, respectively. This result suggests that haze is a major manifestation of air pollution in Beijing. [ABSTRACT FROM AUTHOR] |
| Copyright of Atmospheric Environment is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 101917336 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Evolution of surface O3 and PM2.5 concentrations and their relationships with meteorological conditions over the last decade in Beijing. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Zhang%2C+Ziyin%22">Zhang, Ziyin</searchLink><relatesTo>1,2</relatesTo><i> zzy_ahgeo@163.com</i><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Xiaoling%22">Zhang, Xiaoling</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Gong%2C+Daoyi%22">Gong, Daoyi</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Quan%2C+Weijun%22">Quan, Weijun</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Zhao%2C+Xiujuan%22">Zhao, Xiujuan</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Ma%2C+Zhiqiang%22">Ma, Zhiqiang</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Kim%2C+Seong-Joong%22">Kim, Seong-Joong</searchLink><relatesTo>3</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Atmospheric+Environment%22">Atmospheric Environment</searchLink>. May2015, Vol. 108, p67-75. 9p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Atmospheric+evolution%22">Atmospheric evolution</searchLink><br /><searchLink fieldCode="DE" term="%22Ozone+layer%22">Ozone layer</searchLink><br /><searchLink fieldCode="DE" term="%22Meteorology%22">Meteorology</searchLink><br /><searchLink fieldCode="DE" term="%22Pollution%22">Pollution</searchLink><br /><searchLink fieldCode="DE" term="%22Humidity%22">Humidity</searchLink><br /><searchLink fieldCode="DE" term="%22Regression+analysis%22">Regression analysis</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Beijing+%28China%29%22">Beijing (China)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: In this study, hourly and daily records since 2005 and correlation, regression and composite methods were used to analyze the long-term evolution of surface O 3 and PM 2.5 concentrations at the rural station of Shangdianzi (SDZ) and urban station of Baolian (BL) over Beijing and their relationships with meteorological conditions. The results show that the mean concentrations of PM 2.5 (O 3 ) decreased (increased) at the urban and rural stations over the last decade. The linear trends of the annual mean concentrations of PM 2.5 at BL and SDZ were −31.8 ug/m 3 /10yr (−4.3%/yr) (p < 0.01) and −13.3 ug/m 3 /10yr (−2.9%/yr) (p < 0.05), respectively. In winter, the mean wind speed ( W s ) and relative humidity ( RH ) were the most closely correlated with O 3 at both stations, whereas RH and sunshine hours ( S ) were most closely correlated with PM 2.5 . The correlation coefficients and explained variances in spring and autumn were generally less than those in winter and greater than those in summer. Moreover, increase in precipitation can significantly reduce the PM 2.5 concentration in both urban and rural areas in Beijing, whereas trace and light precipitation more effectively decreases the O 3 concentration. Concentrations of PM 2.5 (O 3 ) on haze days increased by 114% (3%) and 162% (20%) compared with that on non-haze days at the urban and rural stations, respectively. This result suggests that haze is a major manifestation of air pollution in Beijing. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Atmospheric Environment is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.atmosenv.2015.02.071 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 67 Subjects: – SubjectFull: Atmospheric evolution Type: general – SubjectFull: Ozone layer Type: general – SubjectFull: Meteorology Type: general – SubjectFull: Pollution Type: general – SubjectFull: Humidity Type: general – SubjectFull: Regression analysis Type: general – SubjectFull: Beijing (China) Type: general Titles: – TitleFull: Evolution of surface O3 and PM2.5 concentrations and their relationships with meteorological conditions over the last decade in Beijing. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zhang, Ziyin – PersonEntity: Name: NameFull: Zhang, Xiaoling – PersonEntity: Name: NameFull: Gong, Daoyi – PersonEntity: Name: NameFull: Quan, Weijun – PersonEntity: Name: NameFull: Zhao, Xiujuan – PersonEntity: Name: NameFull: Ma, Zhiqiang – PersonEntity: Name: NameFull: Kim, Seong-Joong IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2015 Type: published Y: 2015 Identifiers: – Type: issn-print Value: 13522310 Numbering: – Type: volume Value: 108 Titles: – TitleFull: Atmospheric Environment Type: main |
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