Advances in Atmospheric Sciences

, Volume 34, Issue 4, pp 429–440 | Cite as

Atmospheric circulation and dynamic mechanism for persistent haze events in the Beijing–Tianjin–Hebei region

  • Ping Wu
  • Yihui Ding
  • Yanju LiuEmail author
Original Paper


In this study, regional persistent haze events (RPHEs) in the Beijing–Tianjin–Hebei (BTH) region were identified based on the Objective Identification Technique for Regional Extreme Events for the period 1980–2013. The formation mechanisms of the severe RPHEs were investigated with focus on the atmospheric circulation and dynamic mechanisms. Results indicated that: (1) 49 RPHEs occurred during the past 34 years. (2) The severe RPHEs could be categorized into two types according to the large-scale circulation, i.e. the zonal westerly airflow (ZWA) type and the high-pressure ridge (HPR) type. When the ZWA-type RPHEs occurred, the BTH region was controlled by near zonal westerly airflow in the mid–upper troposphere. Southwesterly winds prevailed in the lower troposphere, and near-surface wind speeds were only 1–2 m s−1. Warm and humid air originating from the northwestern Pacific was transported into the region, where the relative humidity was 70% to 80%, creating favorable moisture conditions. When the HPR-type RPHEs appeared, northwesterly airflow in the mid–upper troposphere controlled the region. Westerly winds prevailed in the lower troposphere and the moisture conditions were relatively weak. (3) Descending motion in the mid-lower troposphere caused by the above two circulation types provided a crucial dynamic mechanism for the formation of the two types of RPHEs. The descending motion contributed to a reduction in the height of the planetary boundary layer (PBL), which generated an inversion in the lower troposphere. This inversion trapped the abundant pollution and moisture in the lower PBL, leading to high concentrations of pollutants.

Key words

Beijing–Tianjin–Hebei region regional persistent haze events atmospheric circulation dynamic mechanism 


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We are grateful to Yingxian ZHANG from the National Climate Center, CMA, and Zhaobin SUN from the Environment Meteorology Forecast Center of Beijing–Tianjin–Hebei, CMA, for their helpful advice. We would also like to thank Dr. Thomas FISCHER from the Department of Geosciences, Eberhard Karls University, T¨ubingen, for his work polishing the language. Many thanks to the anonymous reviewers, who provided useful suggestions to improve the quality of the manuscript. This work was jointly sponsored by the National Basic Research Program of China (973 Program) (Grant No. 2013CB430202), the National Natural Science Foundation of China (Grant No. 41401056), the China Meteorological Administration Special Public Welfare Research Fund (Grant No. GYHY201406001), and the Research Innovation Program for College Graduates of Jiangsu Province (Grant No. KYLX15 0858).


  1. Bai, Z. P., B. B. Cai, H. Y. Dong, and H. Bian, 2006: Adverse health effects caused by dust haze—A review. Environmental Pollution and Control, 28(3), 198–201. (in Chinese)Google Scholar
  2. Baumbach, G., and U. Vogt, 2003: Influence of inversion layers on the distribution of air pollutants in urban areas. Water, Air and Soil Pollution: Focus, 3, 67–78.CrossRefGoogle Scholar
  3. Cao, W. H., X. D. Liang, and Q. C. Li, 2013: A study of the stageful characteristics and influencing factors of a long-lasting fog/haze event in Beijing. Acta Meteor. Sinica, 71(5), 940–951. (in Chinese)Google Scholar
  4. Chan, C. K., and X. H. Yao, 2008: Air pollution in mega cities in China. Atmos. Environ., 42(1), 1–42.CrossRefGoogle Scholar
  5. Chen, H. P., and H. J. Wang, 2015: Haze days in North China and the associated atmospheric circulations based on daily visibility data from 1960 to 2012. J. Geophys. Res., 120(12), 5895–5909.Google Scholar
  6. Dai, Z. J., D. Y. Liu, H. B. Wang, J. S. Wei, and Y. S. Jiang, 2016: The classification study of the heavy haze during autumn and winter of Jiangsu. Acta Meteorologica Sinica, 74(1), 133–148. (in Chinese)Google Scholar
  7. Deng, X. J., X. X. Tie, D. Wu, X. J. Zhou, X. Y. Bi, H. B. Tan, F. Li, and C. L. Jiang, 2008: Long-term trend of visibility and its characterizations in the Pearl River Delta (PRD) region, China. Atmos. Environ., 42(7), 1424–1435.CrossRefGoogle Scholar
  8. Ding, Y. H., and Y. J. Liu, 2014: Analysis of long-term variations of fog and haze in China in recent 50 years and their relations with atmospheric humidity. Science China Earth Sciences, 57(1), 36–46.CrossRefGoogle Scholar
  9. Flocas, H., A. Kelessis, C. Helmis, M. Petrakakis, M. Zoumakis, and K. Pappas, 2009: Synoptic and local scale atmospheric circulation associated with air pollution episodes in an urban Mediterranean area. Theor. Appl. Climatol., 95(3–4), 265–277.CrossRefGoogle Scholar
  10. Fu, G. Q., W. Y. Xu, R. F. Yang, J. B. Li, and C. S. Zhao, 2014: The distribution and trends of fog and haze in the North China Plain over the past 30 years. Atmos. Chem. Phys., 14(21), 11949–11958.CrossRefGoogle Scholar
  11. Gong, Z. Q., and Coauthors, 2012: The identification and changing characteristics of regional low temperature extreme events. Journal of Applied Meteorological Science, 23(2), 195–204. (in Chinese)Google Scholar
  12. Han, S. Q., H. Bian, X. X. Tie, Y. Y. Xie, M. L. Sun, and A. X. Liu, 2009: Impact of nocturnal planetary boundary layer on urban air pollutants: Measurements from a 250-m tower over Tianjin, China. Journal of Hazardous Materials, 162(1), 264–269.CrossRefGoogle Scholar
  13. Jin, X., M. T. Cheng, T. X. Wen, G. Q. Tang, H. Wang, and Y. S. Wang, 2012: The variation of water-soluble inorganic ions during a heavy pollution episode in winter, Beijing. Environmental Chemistry, 31(6), 783–790. (in Chinese)Google Scholar
  14. Kassomenos, P. A., O. A. Sindosi, C. J. Lolis, and A. Chaloulakou, 2003: On the relation between seasonal synoptic circulation types and spatial air quality characteristics in Athens, Greece. Journal of the Air and Waste Management Association, 53(3), 309–324.CrossRefGoogle Scholar
  15. Li, F., D. Wu, H. B. Tan, X. Y. Bi, D. H. Jiang, T. Deng, H. H. Chen, and X. J. Deng, 2012: The characteristics and causes analysis of a typical haze process during the dry season over Guangzhou area: A case study. Journal of Tropical Meteorology, 28(1), 113–122. (in Chinese)Google Scholar
  16. Li, Y. J., F. M. Ren, Y. P. Li, P. L. Wang, and H. M. Yan, 2014: Characteristics of the regional meteorological drought events in Southwest China during 1960–2010. Journal of Meteorological Research, 28, 381–392.CrossRefGoogle Scholar
  17. Liao, X. N., X. L. Zhang, Y. C. Wang, W. D. Liu, J. Du, and L. H. Zhao, 2014: Comparative analysis on meteorological condition for persistent haze cases in summer and winter in Beijing. Environmental Science, 35(6), 2031–2044. (in Chinese)Google Scholar
  18. Liao, X. N., Z. B. Sun, Y. X. Tang, W. W. Pu, Z. M. Li, and B. Lu, 2015: Meteorological mechanism for the formation of a serious pollution case in Beijing in the background of northerly flow at upper levels. Environmental Science, 36(3), 801–808. (in Chinese)Google Scholar
  19. Liu, L. L., and L. L. Wang, 2015: Characteristics of winter heavy pollution episodes and meteorological causes and structures of boundary layer in Tianjin. Climatic and Environmental Research, 20(2), 129–140. (in Chinese)Google Scholar
  20. Liu, L. W., W. C. Li, K. Z. Shang, S. G. Wang, J. H. Zhu, and J. Fu, 2015: Analysis of a serious haze process and its impact factors in Jing-Jin-Ji region. Journal of Meteorology and Environment, 31(3), 35–42. (in Chinese)Google Scholar
  21. Liu, M., W. L. Yan, B. Zhang, J. W. Yu, and X. X. Jin, 2014: Analysis on persistence and intensification mechanism of fog and haze in Jiangsu in January 2013. Meteorological Monthly, 40(7), 835–843. (in Chinese)Google Scholar
  22. Quan, J. N., and Coauthors, 2013: Evolution of planetary boundary layer under different weather conditions, and its impact on aerosol concentrations. Particuology, 11(1), 34–40.CrossRefGoogle Scholar
  23. Ren, F. M., D. L. Cui, Z. Q. Gong, Y. J. Wang, X. K. Zou, Y. P. Li, S. G. Wang, and X. L. Wang, 2012: An objective identification technique for regional extreme events. J. Climate, 25(20), 7015–7027.CrossRefGoogle Scholar
  24. Shao, M., X. Y. Tang, Y. H. Zhang, and W. J. Li, 2006: City clusters in China: Air and surface water pollution. Frontiers in Ecology and the Environment, 4(7), 353–361.CrossRefGoogle Scholar
  25. Tang, Y. X., X. L. Zhang, Y. J. Xiong, X. J. Zhao, G. Z. Fan, and J. L. Wang, 2013: Meteorological characteristics of a continuous haze process in Beijing. Journal of Meteorology and Environment, 29(5), 12–19. (in Chinese)Google Scholar
  26. Wang, H. J., H. P. Chen, and J. P. Liu, 2015: Arctic sea ice decline intensified haze pollution in Eastern China. Atmos. Oceanic Sci. Lett., 8(1), 1–9.Google Scholar
  27. Wang, H. X., 2013: The analysis of persistent fog/haze weather in October 2013 in Zhengzhou Henan province. Beijing Agriculture, 2013(33), 203–204. (in Chinese)Google Scholar
  28. Wang, L. L., N. Zhang, Z. R. Liu, Y. Sun, D. S. Ji, and Y. S. Wang, 2014a: The influence of climate factors, meteorological conditions, and boundary-layer structure on severe haze pollution in the Beijing-Tianjin-Hebei region during January 2013. Advances in Meteorology, Vol. 2014, Article ID 685971, 14 pp.Google Scholar
  29. Wang, Y. S., J. K. Zhang, L. L. Wang, B. Hu, G. Q. Tang, Z. R. Liu, Y. Sun, and D. S. Ji, 2014b: Researching significance, status and expectation of haze in Beijing-Tianjin-Hebei region. Advances in Earth Science, 29(3), 388–396. (in Chinese)Google Scholar
  30. Wu, D., 2011: Formation and evolution of haze weather. Formation and Evolution of Haze Weather, 34(3), 157–161. (in Chinese)Google Scholar
  31. Wu, D., and Coauthors, 2010: Temporal and spatial variation of haze during 1951–2005 in Chinese mainland. Acta Meteorologica Sinica, 68(5), 680–688. (in Chinese)Google Scholar
  32. Wu, P., Y. H. Ding, Y. J. Liu, and X. C. Li, 2016: Influence of the East Asian winter monsoon and atmospheric humidity on the wintertime haze frequency over central-eastern China. Acta Meteorologica Sinica, 74(3), 352–366. (in Chinese)Google Scholar
  33. Wu, Q. M., and S. J. Zhang, 2010: The pollution influencing cause analysis of a fog-haze process. Meteorological and Environmental Sciences, 33(1), 12–16. (in Chinese)Google Scholar
  34. Zhang, B. H., S. H. Liu, H. P. Liu, and Y. J. Ma, 2012: The effect of MYJ and YSU schemes on the simulation of boundary layer meteorological factors of WRF. Chinese Journal of Geophysics, 55(7), 2239–2248. (in Chinese)Google Scholar
  35. Zhang, G. C., M. Y. Jiao, and Y. X. Li, 2007: Techniques and Methods of Contemporary Weather Forecast. China Meteorological Press, 371 pp.Google Scholar
  36. Zhang, Q., X. C. Ma, X. X. Tie, M. Y. Huang, and C. S. Zhao, 2009: Vertical distributions of aerosols under different weather conditions: Analysis of in-situ aircraft measurements in Beijing, China. Atmos. Environ., 43(34), 5526–5535.CrossRefGoogle Scholar
  37. Zhang, R. H., Q. Li, and R. N. Zhang, 2014: Meteorological conditions for the persistent severe fog and haze event over eastern China in January 2013. Science China: Earth Sciences, 57(1), 26–35.CrossRefGoogle Scholar
  38. Zhang, Y. J., P. Q. Zhang, J. Wang, E. S. Qu, Q. F. Liu, and G. Li, 2015: Climatic characteristics of persistent haze events over Jingjinji during 1981–2013. Meteorological Monthly, 41(3), 311–318. (in Chinese)Google Scholar
  39. Zhao, P. S., X. F. Xu, W. Meng, F. Dong, D. He, Q. F. Shi, and X. L. Zhang, 2012: Characteristics of hazy days in the region of Beijing, Tianjin, and Hebei. China Environmental Science, 32(1), 31–36. (in Chinese)Google Scholar
  40. Zhao, X. J., P. S. Zhao, J. Xu, W. Meng, W. W. Pu, F. Dong, D. He, and Q. F. Shi, 2013: Analysis of a winter regional haze event and its formation mechanism in the North China Plain. Atmos. Chem. Phys., 13(11), 5685–5696.CrossRefGoogle Scholar

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Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Authors and Affiliations

  1. 1.College of Atmospheric ScienceNanjing University of Information Science and TechnologyNanjingChina
  2. 2.Chinese Academy of Meteorological SciencesBeijingChina
  3. 3.National Climate CenterBeijingChina

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