Meteorological characteristics of extreme ozone pollution events in China and their future predictions
<p>Ozone (O<span class="inline-formula"><sub>3</sub></span>) has become one of the most concerning air pollutants in China in recent decades. In this study, based on surface observations, reanalysis data, global atmospheric chemistry model simulations, and mul...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2024-01-01
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| Series: | Atmospheric Chemistry and Physics |
| Online Access: | https://acp.copernicus.org/articles/24/1177/2024/acp-24-1177-2024.pdf |
| _version_ | 1797344930608185344 |
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| author | Y. Yang Y. Zhou H. Wang M. Li H. Li P. Wang X. Yue K. Li J. Zhu H. Liao |
| author_facet | Y. Yang Y. Zhou H. Wang M. Li H. Li P. Wang X. Yue K. Li J. Zhu H. Liao |
| author_sort | Y. Yang |
| collection | DOAJ |
| description | <p>Ozone (O<span class="inline-formula"><sub>3</sub></span>) has become one of the most concerning air pollutants in China in recent decades. In this study, based on surface observations, reanalysis data, global atmospheric chemistry model simulations, and multi-model future predictions, meteorological characteristics conducive to extreme O<span class="inline-formula"><sub>3</sub></span> pollution in various regions of China are investigated, and their historical changes and future trends are analyzed. During the most severe O<span class="inline-formula"><sub>3</sub></span> polluted months, the chemical production of O<span class="inline-formula"><sub>3</sub></span> is enhanced under the hot and dry conditions over the North China Plain (NCP) in June 2018 and the Yangtze River Delta (YRD) in July 2017, while regional transport is the main reason for the severe O<span class="inline-formula"><sub>3</sub></span> pollution over the Sichuan Basin (SCB) in July 2015 and the Pearl River Delta (PRD) in September 2019. Over the last 4 decades, the frequencies of high-temperature and low-relative-humidity conditions increased in 2000–2019 relative to 1980–1999, indicating that O<span class="inline-formula"><sub>3</sub></span> pollution in both the NCP and YRD has become more frequent under historical climate change. In the SCB and PRD, the occurrence of atmospheric circulation patterns similar to those during the most polluted months increased, together with the more frequent hot and dry conditions, contributing to the increases in severe O<span class="inline-formula"><sub>3</sub></span> pollution in the SCB and PRD during 1980–2019. In the future (by 2100), the frequencies of months with anomalous high temperature show stronger increasing trends in the high-forcing scenario (Shared Socioeconomic Pathway (SSP5-8.5)) compared to the sustainable scenario (SSP1-2.6) in China. It suggests that high anthropogenic forcing will not only lead to slow economic growth and climate warming but also likely result in environmental pollution issues.</p> |
| first_indexed | 2024-03-08T11:10:05Z |
| format | Article |
| id | doaj.art-0edd8132a22742fcb8b61faee436c285 |
| institution | Directory Open Access Journal |
| issn | 1680-7316 1680-7324 |
| language | English |
| last_indexed | 2024-03-08T11:10:05Z |
| publishDate | 2024-01-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Atmospheric Chemistry and Physics |
| spelling | doaj.art-0edd8132a22742fcb8b61faee436c2852024-01-26T11:06:23ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242024-01-01241177119110.5194/acp-24-1177-2024Meteorological characteristics of extreme ozone pollution events in China and their future predictionsY. Yang0Y. Zhou1H. Wang2M. Li3H. Li4P. Wang5X. Yue6K. Li7J. Zhu8H. Liao9Joint International Research Laboratory of Climate and Environment Change, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, ChinaShanghai Baoshan Meteorology Bureau, Shanghai, ChinaAtmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, WA, USAJoint International Research Laboratory of Climate and Environment Change, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, ChinaJoint International Research Laboratory of Climate and Environment Change, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, ChinaJoint International Research Laboratory of Climate and Environment Change, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, ChinaJoint International Research Laboratory of Climate and Environment Change, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, ChinaJoint International Research Laboratory of Climate and Environment Change, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, ChinaJoint International Research Laboratory of Climate and Environment Change, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, ChinaJoint International Research Laboratory of Climate and Environment Change, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, China<p>Ozone (O<span class="inline-formula"><sub>3</sub></span>) has become one of the most concerning air pollutants in China in recent decades. In this study, based on surface observations, reanalysis data, global atmospheric chemistry model simulations, and multi-model future predictions, meteorological characteristics conducive to extreme O<span class="inline-formula"><sub>3</sub></span> pollution in various regions of China are investigated, and their historical changes and future trends are analyzed. During the most severe O<span class="inline-formula"><sub>3</sub></span> polluted months, the chemical production of O<span class="inline-formula"><sub>3</sub></span> is enhanced under the hot and dry conditions over the North China Plain (NCP) in June 2018 and the Yangtze River Delta (YRD) in July 2017, while regional transport is the main reason for the severe O<span class="inline-formula"><sub>3</sub></span> pollution over the Sichuan Basin (SCB) in July 2015 and the Pearl River Delta (PRD) in September 2019. Over the last 4 decades, the frequencies of high-temperature and low-relative-humidity conditions increased in 2000–2019 relative to 1980–1999, indicating that O<span class="inline-formula"><sub>3</sub></span> pollution in both the NCP and YRD has become more frequent under historical climate change. In the SCB and PRD, the occurrence of atmospheric circulation patterns similar to those during the most polluted months increased, together with the more frequent hot and dry conditions, contributing to the increases in severe O<span class="inline-formula"><sub>3</sub></span> pollution in the SCB and PRD during 1980–2019. In the future (by 2100), the frequencies of months with anomalous high temperature show stronger increasing trends in the high-forcing scenario (Shared Socioeconomic Pathway (SSP5-8.5)) compared to the sustainable scenario (SSP1-2.6) in China. It suggests that high anthropogenic forcing will not only lead to slow economic growth and climate warming but also likely result in environmental pollution issues.</p>https://acp.copernicus.org/articles/24/1177/2024/acp-24-1177-2024.pdf |
| spellingShingle | Y. Yang Y. Zhou H. Wang M. Li H. Li P. Wang X. Yue K. Li J. Zhu H. Liao Meteorological characteristics of extreme ozone pollution events in China and their future predictions Atmospheric Chemistry and Physics |
| title | Meteorological characteristics of extreme ozone pollution events in China and their future predictions |
| title_full | Meteorological characteristics of extreme ozone pollution events in China and their future predictions |
| title_fullStr | Meteorological characteristics of extreme ozone pollution events in China and their future predictions |
| title_full_unstemmed | Meteorological characteristics of extreme ozone pollution events in China and their future predictions |
| title_short | Meteorological characteristics of extreme ozone pollution events in China and their future predictions |
| title_sort | meteorological characteristics of extreme ozone pollution events in china and their future predictions |
| url | https://acp.copernicus.org/articles/24/1177/2024/acp-24-1177-2024.pdf |
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