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.
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.)
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  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 &lt; 0.01) and −13.3 ug/m 3 /10yr (−2.9%/yr) (p &lt; 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]
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  Data: &lt;i&gt;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&#39;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.&lt;/i&gt; (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1016/j.atmosenv.2015.02.071
    Languages:
      – Code: eng
        Text: English
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      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.
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          Name:
            NameFull: Zhang, Ziyin
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            NameFull: Zhang, Xiaoling
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            NameFull: Gong, Daoyi
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            NameFull: Quan, Weijun
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            NameFull: Zhao, Xiujuan
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            NameFull: Ma, Zhiqiang
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            NameFull: Kim, Seong-Joong
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            – D: 01
              M: 05
              Text: May2015
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              Y: 2015
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              Value: 108
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            – TitleFull: Atmospheric Environment
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