Articles | Volume 17, issue 21
https://doi.org/10.5194/acp-17-12871-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/acp-17-12871-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Regional severe particle pollution and its association with synoptic weather patterns in the Yangtze River Delta region, China
School of Atmospheric Sciences, CMA-NJU Joint Laboratory for Climate
Prediction Studies, Jiangsu Collaborative Innovation Center for Climate
Change, Nanjing University, Nanjing 210023, China
School of Atmospheric Sciences, CMA-NJU Joint Laboratory for Climate
Prediction Studies, Jiangsu Collaborative Innovation Center for Climate
Change, Nanjing University, Nanjing 210023, China
Da Gao
School of Atmospheric Sciences, CMA-NJU Joint Laboratory for Climate
Prediction Studies, Jiangsu Collaborative Innovation Center for Climate
Change, Nanjing University, Nanjing 210023, China
Tijian Wang
CORRESPONDING AUTHOR
School of Atmospheric Sciences, CMA-NJU Joint Laboratory for Climate
Prediction Studies, Jiangsu Collaborative Innovation Center for Climate
Change, Nanjing University, Nanjing 210023, China
Dexian Fang
Chongqing Institute of Meteorology and Science, Chongqing 401147,
China
Qian Liu
Jiangsu Provincial Academy of Environmental Science, Nanjing 210036,
China
Anning Huang
School of Atmospheric Sciences, CMA-NJU Joint Laboratory for Climate
Prediction Studies, Jiangsu Collaborative Innovation Center for Climate
Change, Nanjing University, Nanjing 210023, China
Liwen Peng
School of Atmospheric Sciences, CMA-NJU Joint Laboratory for Climate
Prediction Studies, Jiangsu Collaborative Innovation Center for Climate
Change, Nanjing University, Nanjing 210023, China
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Latest update: 23 Nov 2024
Short summary
Based on 1-year in situ monitoring data of 16 cities, this paper can enhance the understanding of the pollution characteristics of particles (PM2.5 and PM10) in the Yangtze River Delta region, China. Based on NCEP reanalysis data, the establishment of the potential links between different levels of particle pollution and predominant synoptic patterns can provide an insightful view on formulating pollution control and mitigation strategies.
Based on 1-year in situ monitoring data of 16 cities, this paper can enhance the understanding...
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