Articles | Volume 18, issue 9
https://doi.org/10.5194/acp-18-6771-2018
https://doi.org/10.5194/acp-18-6771-2018
Research article
 | 
15 May 2018
Research article |  | 15 May 2018

Self-organized classification of boundary layer meteorology and associated characteristics of air quality in Beijing

Zhiheng Liao, Jiaren Sun, Jialin Yao, Li Liu, Haowen Li, Jian Liu, Jielan Xie, Dui Wu, and Shaojia Fan

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Cited articles

Cai, W. J., Li, K., Liao, H., Wang, H. J., and Wu, L. X.: Weather conditions conducive to Beijing severe haze more frequent under climate change, Nat. Clim. Change, 7, 257–262, https://doi.org/10.1038/Nclimate3249, 2017. 
Chambers, S. D., Wang, F. J., Williams, A. G., Deng, X. D., Zhang, H., Lonati, G., Crawford, J., Griffiths, A. D., Ianniello, A., and Allegrini, I.: Quantifying the influences of atmospheric stability on air pollution in Lanzhou, China, using a radon-based stability monitor, Atmos. Environ., 107, 233–243, https://doi.org/10.1016/j.atmosenv.2015.02.016, 2015a. 
Chambers, S. D., Williams, A. G., Crawford, J., and Griffiths, A. D.: On the use of radon for quantifying the effects of atmospheric stability on urban emissions, Atmos. Chem. Phys., 15, 1175–1190, https://doi.org/10.5194/acp-15-1175-2015, 2015b. 
Chen, L.-W. A., Watson, J. G., Chow, J. C., Green, M. C., Inouye, D., and Dick, K.: Wintertime particulate pollution episodes in an urban valley of the Western US: a case study, Atmos. Chem. Phys., 12, 10051–10064, https://doi.org/10.5194/acp-12-10051-2012, 2012. 
Chen, Y., Zhao, C. S., Zhang, Q., Deng, Z. Z., Huang, M. Y., and Ma, X. C.: Aircraft study of Mountain Chimney Effect of Beijing, China, J. Geophys. Res.-Atmos, 114, D08306, https://doi.org/10.1029/2008jd010610, 2009. 
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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.
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