Heatwave exacerbates air pollution in China through intertwined climate-energy-environment interactions.

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Title: Heatwave exacerbates air pollution in China through intertwined climate-energy-environment interactions.
Authors: Chen, Tianshu1 (AUTHOR), Wang, Tao1 (AUTHOR) tao.wang@polyu.edu.hk, Xue, Likun1,2,3 (AUTHOR) xuelikun@sdu.edu.cn, Brasseur, Guy1,4,5 (AUTHOR)
Source: Science Bulletin. Sep2024, Vol. 69 Issue 17, p2765-2775. 11p.
Subjects: Climate change, Heat waves (Meteorology), Energy consumption, Emission control, Air quality
Abstract: [Display omitted] Climate change is increasing the frequency and intensity of heatwaves, raising concerns about their detrimental effects on air quality. However, a role for heatwave-human-environment interactions in air pollution exacerbation has not been established. In the summer of 2022, record-breaking heatwaves struck China and Europe. In this study, we use integrated observational data and machine learning to elucidate the formation mechanism underlying one of the most severe ozone pollution seasons on record in central eastern China, an area that encompasses approximately half of China's total population and sown land. Our findings reveal that the worsened ozone and nitrogen dioxide pollution resulted from a mismatch between energy demand and supply, which was driven by both heatwaves and energy policy-related factors. The observed adverse heatwave-energy-environment feedback loop highlights the need for the diversification of clean energy sources, more resilient energy structures and power policies, and further emission control to confront the escalating climate challenge in the future. [ABSTRACT FROM AUTHOR]
Copyright of Science Bulletin is the property of Elsevier B.V. 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: Heatwave exacerbates air pollution in China through intertwined climate-energy-environment interactions.
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  Data: <searchLink fieldCode="DE" term="%22Climate+change%22">Climate change</searchLink><br /><searchLink fieldCode="DE" term="%22Heat+waves+%28Meteorology%29%22">Heat waves (Meteorology)</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+consumption%22">Energy consumption</searchLink><br /><searchLink fieldCode="DE" term="%22Emission+control%22">Emission control</searchLink><br /><searchLink fieldCode="DE" term="%22Air+quality%22">Air quality</searchLink>
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  Data: [Display omitted] Climate change is increasing the frequency and intensity of heatwaves, raising concerns about their detrimental effects on air quality. However, a role for heatwave-human-environment interactions in air pollution exacerbation has not been established. In the summer of 2022, record-breaking heatwaves struck China and Europe. In this study, we use integrated observational data and machine learning to elucidate the formation mechanism underlying one of the most severe ozone pollution seasons on record in central eastern China, an area that encompasses approximately half of China's total population and sown land. Our findings reveal that the worsened ozone and nitrogen dioxide pollution resulted from a mismatch between energy demand and supply, which was driven by both heatwaves and energy policy-related factors. The observed adverse heatwave-energy-environment feedback loop highlights the need for the diversification of clean energy sources, more resilient energy structures and power policies, and further emission control to confront the escalating climate challenge in the future. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of Science Bulletin is the property of Elsevier B.V. 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:
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      – Type: doi
        Value: 10.1016/j.scib.2024.05.018
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      – Code: eng
        Text: English
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        PageCount: 11
        StartPage: 2765
    Subjects:
      – SubjectFull: Climate change
        Type: general
      – SubjectFull: Heat waves (Meteorology)
        Type: general
      – SubjectFull: Energy consumption
        Type: general
      – SubjectFull: Emission control
        Type: general
      – SubjectFull: Air quality
        Type: general
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            NameFull: Wang, Tao
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            NameFull: Xue, Likun
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            – D: 15
              M: 09
              Text: Sep2024
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              Y: 2024
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