Articles | Volume 18, issue 9
https://doi.org/10.5194/acp-18-6771-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-18-6771-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
15 May 2018
Research article |
| 15 May 2018
| 15 May 2018
Self-organized classification of boundary layer meteorology and associated characteristics of air quality in Beijing
Zhiheng Liao
School of Atmospheric Sciences, Sun Yat-sen University, Guangzhou,
Guangdong, China
Jiaren Sun
CORRESPONDING AUTHOR
School of Atmospheric Sciences, Sun Yat-sen University, Guangzhou,
Guangdong, China
South China Institute of Environmental Sciences, Ministry of
Environmental Protection of the People's Republic of China, Guangzhou,
Guangdong, China
Jialin Yao
Weather Modification Office of Shanxi Province, Taiyuan,
Shanxi, China
Li Liu
School of Atmospheric Sciences, Sun Yat-sen University, Guangzhou,
Guangdong, China
Haowen Li
School of Atmospheric Sciences, Sun Yat-sen University, Guangzhou,
Guangdong, China
Jian Liu
School of Atmospheric Sciences, Sun Yat-sen University, Guangzhou,
Guangdong, China
Jielan Xie
School of Atmospheric Sciences, Sun Yat-sen University, Guangzhou,
Guangdong, China
Institute of Mass Spectrometer and Atmospheric Environment, Jinan
University, Guangzhou, Guangdong, China
Guangdong Engineering Research Centre for Online Atmospheric Pollution Source Appointment Mass
Spectrometry System, Jinan University, Guangzhou, Guangdong, China
Shaojia Fan
CORRESPONDING AUTHOR
School of Atmospheric Sciences, Sun Yat-sen University, Guangzhou,
Guangdong, China
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Cited
19 citations as recorded by crossref.
- Analysis of PM2.5 pollution episodes in Beijing from 2014 to 2017: Classification, interannual variations and associations with meteorological features J. Sun et al. 10.1016/j.atmosenv.2019.06.015
- Long-term planetary boundary layer features and associated PM2.5 pollution anomalies in Beijing during the past 40 years Y. Yan et al. 10.1007/s00704-023-04356-w
- The atmospheric boundary layer: a review of current challenges and a new generation of machine learning techniques L. Canché-Cab et al. 10.1007/s10462-024-10962-5
- Characterization of the vertical evolution of urban nocturnal boundary layer by UAV measurements: Insights into relations to cloud radiative effect L. Shen et al. 10.1016/j.envres.2023.116323
- Summertime ozone pollution in the Yangtze River Delta of eastern China during 2013–2017: Synoptic impacts and source apportionment L. Shu et al. 10.1016/j.envpol.2019.113631
- Boundary layer structure characteristics under objective classification of persistent pollution weather types in the Beijing area Z. Sun et al. 10.5194/acp-21-8863-2021
- Meteorological Impact on Winter PM2.5 Pollution in Delhi: Present and Future Projection Under a Warming Climate J. Li et al. 10.1029/2021GL093722
- Impacts of the near-surface urban boundary layer structure on PM2.5 concentrations in Beijing during winter L. Wang et al. 10.1016/j.scitotenv.2019.03.097
- Meteorological and chemical controls on surface ozone diurnal variability in Beijing: A clustering-based perspective Z. Liao et al. 10.1016/j.atmosenv.2022.119566
- Multi-scale correlations between air quality and meteorology in the Guangdong−Hong Kong−Macau Greater Bay Area of China during 2015–2017 X. Fang et al. 10.1016/j.atmosenv.2018.08.018
- Characterizing Weekly Cycles of Particulate Matter in a Coastal Megacity: The Importance of a Seasonal, Size‐Resolved, and Chemically Speciated Analysis M. Hilario et al. 10.1029/2020JD032614
- Exploring the impact of nocturnal boundary layer stability on wintertime air pollution in a highly polluted basin city using unsupervised learning classification J. Yao et al. 10.1016/j.apr.2024.102253
- Estimation of near-surface ozone concentration and analysis of main weather situation in China based on machine learning model and Himawari-8 TOAR data B. Chen et al. 10.1016/j.scitotenv.2022.160928
- Local and synoptic meteorological influences on daily variability in summertime surface ozone in eastern China H. Han et al. 10.5194/acp-20-203-2020
- Water tank modelling of variations in inversion breakup over a circular city Y. Fan et al. 10.1016/j.buildenv.2019.106342
- Toward instrument combination for boundary layer classification T. Rieutord et al. 10.1002/asl.1144
- Evaluation of the boundary layer mixing height and air pollution in Arak, Iran M. Karampoor et al. 10.1007/s12517-022-11097-z
- The role of the planetary boundary layer parameterization schemes on the meteorological and aerosol pollution simulations: A review W. Jia & X. Zhang 10.1016/j.atmosres.2020.104890
- Characteristics of large-scale atmospheric circulation patterns conducive to severe spring and winter wind events over beijing in china based on a machine learning categorizing method W. Zhao et al. 10.3389/feart.2022.998108
19 citations as recorded by crossref.
- Analysis of PM2.5 pollution episodes in Beijing from 2014 to 2017: Classification, interannual variations and associations with meteorological features J. Sun et al. 10.1016/j.atmosenv.2019.06.015
- Long-term planetary boundary layer features and associated PM2.5 pollution anomalies in Beijing during the past 40 years Y. Yan et al. 10.1007/s00704-023-04356-w
- The atmospheric boundary layer: a review of current challenges and a new generation of machine learning techniques L. Canché-Cab et al. 10.1007/s10462-024-10962-5
- Characterization of the vertical evolution of urban nocturnal boundary layer by UAV measurements: Insights into relations to cloud radiative effect L. Shen et al. 10.1016/j.envres.2023.116323
- Summertime ozone pollution in the Yangtze River Delta of eastern China during 2013–2017: Synoptic impacts and source apportionment L. Shu et al. 10.1016/j.envpol.2019.113631
- Boundary layer structure characteristics under objective classification of persistent pollution weather types in the Beijing area Z. Sun et al. 10.5194/acp-21-8863-2021
- Meteorological Impact on Winter PM2.5 Pollution in Delhi: Present and Future Projection Under a Warming Climate J. Li et al. 10.1029/2021GL093722
- Impacts of the near-surface urban boundary layer structure on PM2.5 concentrations in Beijing during winter L. Wang et al. 10.1016/j.scitotenv.2019.03.097
- Meteorological and chemical controls on surface ozone diurnal variability in Beijing: A clustering-based perspective Z. Liao et al. 10.1016/j.atmosenv.2022.119566
- Multi-scale correlations between air quality and meteorology in the Guangdong−Hong Kong−Macau Greater Bay Area of China during 2015–2017 X. Fang et al. 10.1016/j.atmosenv.2018.08.018
- Characterizing Weekly Cycles of Particulate Matter in a Coastal Megacity: The Importance of a Seasonal, Size‐Resolved, and Chemically Speciated Analysis M. Hilario et al. 10.1029/2020JD032614
- Exploring the impact of nocturnal boundary layer stability on wintertime air pollution in a highly polluted basin city using unsupervised learning classification J. Yao et al. 10.1016/j.apr.2024.102253
- Estimation of near-surface ozone concentration and analysis of main weather situation in China based on machine learning model and Himawari-8 TOAR data B. Chen et al. 10.1016/j.scitotenv.2022.160928
- Local and synoptic meteorological influences on daily variability in summertime surface ozone in eastern China H. Han et al. 10.5194/acp-20-203-2020
- Water tank modelling of variations in inversion breakup over a circular city Y. Fan et al. 10.1016/j.buildenv.2019.106342
- Toward instrument combination for boundary layer classification T. Rieutord et al. 10.1002/asl.1144
- Evaluation of the boundary layer mixing height and air pollution in Arak, Iran M. Karampoor et al. 10.1007/s12517-022-11097-z
- The role of the planetary boundary layer parameterization schemes on the meteorological and aerosol pollution simulations: A review W. Jia & X. Zhang 10.1016/j.atmosres.2020.104890
- Characteristics of large-scale atmospheric circulation patterns conducive to severe spring and winter wind events over beijing in china based on a machine learning categorizing method W. Zhao et al. 10.3389/feart.2022.998108
Latest update: 14 Jan 2025
Short summary
This paper investigates the modulation effect of ABL meteorology on Beijing’s surface air quality based on self-organizing maps. The self-organized ABL types correspond to significantly distinct pollutant loadings and diurnal evolution, particularly in winter. Anomalous stable ABL conditions are estimated to contribute 58.3 %, 46.4 % and 73.3 % of the elevated PM2.5 concentrations in January 2013, December 2015 and December 2016.
This paper investigates the modulation effect of ABL meteorology on Beijing’s surface air...
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