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| DOI | 10.1038/s41561-022-00933-2 |
| Winter particulate pollution severity in North China driven by atmospheric teleconnections | |
| Li J.; Hao X.; Liao H.; Wang Y.; Cai W.; Li K.; Yue X.; Yang Y.; Chen H.; Mao Y.; Fu Y.; Chen L.; Zhu J. | |
| 发表日期 | 2022 |
| ISSN | 1752-0894 |
| 起始页码 | 349 |
| 结束页码 | 355 |
| 卷号 | 15期号:5 |
| 英文摘要 | Elevated levels of particulate matter in the atmosphere are hazardous to human health and the environment. Severe particulate pollution days, with daily mean PM2.5 concentrations exceeding 150 μg m−3, occurred frequently in North China, especially during the boreal winters of 2013–2019. Severe particulate pollution generally occurs under conducive weather patterns characterized by a stable atmosphere with weak winds, under which air pollutants emitted at the surface by human activities would accumulate. The occurrence of conducive weather patterns has been attributed to variations in numerous climate factors such as Arctic sea-ice cover, sea surface temperature and atmospheric teleconnections, but the dominant climate drivers remain unclear. Here, we show that the East Atlantic–West Russia teleconnection pattern and the Victoria mode of sea surface temperature anomalies are the top two dominant climate drivers that lead to conducive weather patterns in North China through the zonal and meridional propagations of Rossby waves. Our results suggest that, with the help of seasonal forecast from climate models, indices of these two drivers can be used to predict severe particulate pollution over North China for the coming winter, enabling us to protect human health by air-quality planning. © 2022, The Author(s), under exclusive licence to Springer Nature Limited. |
| 语种 | 英语 |
| scopus关键词 | atmospheric pollution; particulate matter; pollution monitoring; sea surface temperature; teleconnection; wave propagation; winter; Arctic; Arctic Ocean; Atlantic Ocean; Atlantic Ocean (East); China; Russian Federation |
| 来源期刊 | Nature Geoscience
 |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/262211 |
| 作者单位 | 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, China |
| 推荐引用方式 GB/T 7714 | Li J.； Hao X.； Liao H.； Wang Y.； Cai W.； Li K.； Yue X.； Yang Y.； Chen H.； Mao Y.； Fu Y.； Chen L.； Zhu J.. Winter particulate pollution severity in North China driven by atmospheric teleconnections[J],2022,15(5). |
| APA | Li J.； Hao X.； Liao H.； Wang Y.； Cai W.； Li K.； Yue X.； Yang Y.； Chen H.； Mao Y.； Fu Y.； Chen L.； Zhu J..(2022).Winter particulate pollution severity in North China driven by atmospheric teleconnections.Nature Geoscience,15(5). |
| MLA | Li J.； Hao X.； Liao H.； Wang Y.； Cai W.； Li K.； Yue X.； Yang Y.； Chen H.； Mao Y.； Fu Y.； Chen L.； Zhu J.."Winter particulate pollution severity in North China driven by atmospheric teleconnections".Nature Geoscience 15.5(2022). |
| 条目包含的文件 | 条目无相关文件。 | |||||
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