View in EDS

Impacts of Synoptic Patterns and Meteorological Factors on Distribution Trends of Ozone in Southeast China During 2015–2020.

Saved in:
Bibliographic Details
Title: Impacts of Synoptic Patterns and Meteorological Factors on Distribution Trends of Ozone in Southeast China During 2015–2020.
Authors: Ji, Xiaoting1,2,3 (AUTHOR), Hong, Youwei1,2,3,4 (AUTHOR) ywhong@iue.ac.cn, Lin, Yiling1,2,5 (AUTHOR), Xu, Ke1,2,4 (AUTHOR), Chen, Gaojie1,2,3 (AUTHOR), Liu, Taotao1,2,3 (AUTHOR), Xu, Lingling1,2,3 (AUTHOR), Li, Mengren1,2 (AUTHOR), Fan, Xiaolong1,2 (AUTHOR), Wang, Hong6 (AUTHOR), Zhang, Hongliang7 (AUTHOR), Chen, Yuping1,2,3 (AUTHOR), Yang, Chen1,2,3 (AUTHOR), Lin, Ziyi1,2,3 (AUTHOR), Chen, Jinsheng1,2,3 (AUTHOR) jschen@iue.ac.cn
Source: Journal of Geophysical Research. Atmospheres. 7/27/2023, Vol. 128 Issue 14, p1-14. 14p.
Subject Terms: *Climate change, *Ozone, *Cyclones, *Organonitrogen compounds, *Solar radiation, Cloudiness
Geographic Terms: China, East Asia
Abstract: Surface ozone (O3) pollution under global climate change has become one of the top environmental issues. In this study, we focused on the coastal region in Southeast China with relatively low O3 precursor's emissions and complicated synoptic conditions, where the O3 trends and meteorological contributions remain unclear. An increasing trend of O3 concentrations in the cities (0.3–4.6 μg m−3 yr−1) from 2015 to 2020 was observed. Twenty‐three synoptic patterns were clustered based on weather typing method, in which cyclone‐related types and southwesterly type were generally associated with low O3 concentrations, and high O3 levels occurred with anticyclone‐related types. Considering both frequency and intensity of synoptic patterns, reconstructed O3 series captured 46.0%–58.3% of the observed variability. Using Kolmogorov‐Zurbenko filter, an increasing trend of long‐term O3 was found. By implementing the multiple linear regression model between O3 concentrations and meteorological factors, the meteorological contributions to O3 variabilities (44.7%–66.1%) were quantified. The results indicated the meteorological conditions were particularly important in O3 pollution with the reductions of O3 precursor's emissions, among which relative humidity, boundary layer height, solar radiation along with low cloud cover were proved to play important roles. The weakening southwest winds along with more anti‐cyclone systems under climate change could increase surface O3. This study elucidated the crucial meteorological drivers on the O3 variability in relatively clean areas and implied the challenges for local governments to mitigate O3 pollution under global climate change. Plain Language Summary: Ozone (O3) pollution has become one of the top environmental issues in recent years and can be affected not only by O3 precursors (volatile organic compounds and nitrogen oxides) but also meteorological condition. Under global climate change, there is a need to deeply understand the impact of meteorological factors on surface O3 concentrations with the decrease of O3 precursors. In this study, we focus on the coast area of Southeast China with relatively low O3 precursors emissions and influenced by the East Asia monsoon. Temporal and spatial variations of O3 concentrations along with the meteorological impacts on O3 variabilities from 2015 to 2020 were analyzed. The results show that the relative meteorological contributions on O3 trends were 44.7%–66.1%. The higher temperature, lower relative humidity, more solar radiation, weakening southwest winds along with more anti‐cyclone systems under climate change could increase surface O3. This study is beneficial to understand different mechanisms of meteorological impacts on O3 variations in the relatively clean areas, and find out the key drivers to cause O3 pollution with the decrease of O3 precursors emissions and climate change. Key Points: Temporal and spatial variations of O3 concentrations in the coastal of southeast China from 2015 to 2020 were analyzedWeather typing was applied to identify the dominant synoptic patterns and related meteorological factors lead on high O3 concentrationThe contributions of synoptic patterns and meteorological factors on long‐term O3 trends were quantified [ABSTRACT FROM AUTHOR]
Copyright of Journal of Geophysical Research. Atmospheres is the property of Wiley-Blackwell 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: GreenFILE
FullText Text:
  Availability: 0
Header DbId: 8gh
DbLabel: GreenFILE
An: 167371377
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Impacts of Synoptic Patterns and Meteorological Factors on Distribution Trends of Ozone in Southeast China During 2015–2020.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Ji%2C+Xiaoting%22">Ji, Xiaoting</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hong%2C+Youwei%22">Hong, Youwei</searchLink><relatesTo>1,2,3,4</relatesTo> (AUTHOR)<i> ywhong@iue.ac.cn</i><br /><searchLink fieldCode="AR" term="%22Lin%2C+Yiling%22">Lin, Yiling</searchLink><relatesTo>1,2,5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Xu%2C+Ke%22">Xu, Ke</searchLink><relatesTo>1,2,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Gaojie%22">Chen, Gaojie</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liu%2C+Taotao%22">Liu, Taotao</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Xu%2C+Lingling%22">Xu, Lingling</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Mengren%22">Li, Mengren</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Fan%2C+Xiaolong%22">Fan, Xiaolong</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Hong%22">Wang, Hong</searchLink><relatesTo>6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Hongliang%22">Zhang, Hongliang</searchLink><relatesTo>7</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Yuping%22">Chen, Yuping</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yang%2C+Chen%22">Yang, Chen</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lin%2C+Ziyi%22">Lin, Ziyi</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Jinsheng%22">Chen, Jinsheng</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<i> jschen@iue.ac.cn</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Journal+of+Geophysical+Research%2E+Atmospheres%22">Journal of Geophysical Research. Atmospheres</searchLink>. 7/27/2023, Vol. 128 Issue 14, p1-14. 14p.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22Climate+change%22">Climate change</searchLink><br />*<searchLink fieldCode="DE" term="%22Ozone%22">Ozone</searchLink><br />*<searchLink fieldCode="DE" term="%22Cyclones%22">Cyclones</searchLink><br />*<searchLink fieldCode="DE" term="%22Organonitrogen+compounds%22">Organonitrogen compounds</searchLink><br />*<searchLink fieldCode="DE" term="%22Solar+radiation%22">Solar radiation</searchLink><br /><searchLink fieldCode="DE" term="%22Cloudiness%22">Cloudiness</searchLink>
– Name: SubjectGeographic
  Label: Geographic Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22China%22">China</searchLink><br /><searchLink fieldCode="DE" term="%22East+Asia%22">East Asia</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Surface ozone (O3) pollution under global climate change has become one of the top environmental issues. In this study, we focused on the coastal region in Southeast China with relatively low O3 precursor's emissions and complicated synoptic conditions, where the O3 trends and meteorological contributions remain unclear. An increasing trend of O3 concentrations in the cities (0.3–4.6 μg m−3 yr−1) from 2015 to 2020 was observed. Twenty‐three synoptic patterns were clustered based on weather typing method, in which cyclone‐related types and southwesterly type were generally associated with low O3 concentrations, and high O3 levels occurred with anticyclone‐related types. Considering both frequency and intensity of synoptic patterns, reconstructed O3 series captured 46.0%–58.3% of the observed variability. Using Kolmogorov‐Zurbenko filter, an increasing trend of long‐term O3 was found. By implementing the multiple linear regression model between O3 concentrations and meteorological factors, the meteorological contributions to O3 variabilities (44.7%–66.1%) were quantified. The results indicated the meteorological conditions were particularly important in O3 pollution with the reductions of O3 precursor's emissions, among which relative humidity, boundary layer height, solar radiation along with low cloud cover were proved to play important roles. The weakening southwest winds along with more anti‐cyclone systems under climate change could increase surface O3. This study elucidated the crucial meteorological drivers on the O3 variability in relatively clean areas and implied the challenges for local governments to mitigate O3 pollution under global climate change. Plain Language Summary: Ozone (O3) pollution has become one of the top environmental issues in recent years and can be affected not only by O3 precursors (volatile organic compounds and nitrogen oxides) but also meteorological condition. Under global climate change, there is a need to deeply understand the impact of meteorological factors on surface O3 concentrations with the decrease of O3 precursors. In this study, we focus on the coast area of Southeast China with relatively low O3 precursors emissions and influenced by the East Asia monsoon. Temporal and spatial variations of O3 concentrations along with the meteorological impacts on O3 variabilities from 2015 to 2020 were analyzed. The results show that the relative meteorological contributions on O3 trends were 44.7%–66.1%. The higher temperature, lower relative humidity, more solar radiation, weakening southwest winds along with more anti‐cyclone systems under climate change could increase surface O3. This study is beneficial to understand different mechanisms of meteorological impacts on O3 variations in the relatively clean areas, and find out the key drivers to cause O3 pollution with the decrease of O3 precursors emissions and climate change. Key Points: Temporal and spatial variations of O3 concentrations in the coastal of southeast China from 2015 to 2020 were analyzedWeather typing was applied to identify the dominant synoptic patterns and related meteorological factors lead on high O3 concentrationThe contributions of synoptic patterns and meteorological factors on long‐term O3 trends were quantified [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Geophysical Research. Atmospheres is the property of Wiley-Blackwell 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.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=8gh&AN=167371377
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1029/2022JD037961
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 14
        StartPage: 1
    Subjects:
      – SubjectFull: Climate change
        Type: general
      – SubjectFull: Ozone
        Type: general
      – SubjectFull: Cyclones
        Type: general
      – SubjectFull: Organonitrogen compounds
        Type: general
      – SubjectFull: Solar radiation
        Type: general
      – SubjectFull: Cloudiness
        Type: general
      – SubjectFull: China
        Type: general
      – SubjectFull: East Asia
        Type: general
    Titles:
      – TitleFull: Impacts of Synoptic Patterns and Meteorological Factors on Distribution Trends of Ozone in Southeast China During 2015–2020.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Ji, Xiaoting
      – PersonEntity:
          Name:
            NameFull: Hong, Youwei
      – PersonEntity:
          Name:
            NameFull: Lin, Yiling
      – PersonEntity:
          Name:
            NameFull: Xu, Ke
      – PersonEntity:
          Name:
            NameFull: Chen, Gaojie
      – PersonEntity:
          Name:
            NameFull: Liu, Taotao
      – PersonEntity:
          Name:
            NameFull: Xu, Lingling
      – PersonEntity:
          Name:
            NameFull: Li, Mengren
      – PersonEntity:
          Name:
            NameFull: Fan, Xiaolong
      – PersonEntity:
          Name:
            NameFull: Wang, Hong
      – PersonEntity:
          Name:
            NameFull: Zhang, Hongliang
      – PersonEntity:
          Name:
            NameFull: Chen, Yuping
      – PersonEntity:
          Name:
            NameFull: Yang, Chen
      – PersonEntity:
          Name:
            NameFull: Lin, Ziyi
      – PersonEntity:
          Name:
            NameFull: Chen, Jinsheng
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 27
              M: 07
              Text: 7/27/2023
              Type: published
              Y: 2023
          Identifiers:
            – Type: issn-print
              Value: 2169897X
          Numbering:
            – Type: volume
              Value: 128
            – Type: issue
              Value: 14
          Titles:
            – TitleFull: Journal of Geophysical Research. Atmospheres
              Type: main
ResultId 1