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Investigation of the atmospheric boundary layer during an unexpected summertime persistent severe haze pollution period in Beijing

  • Tingting Xu
  • Yu SongEmail author
  • Minsi Zhang
  • Mingxu Liu
  • Xuhui Cai
  • Hongsheng Zhang
  • Zuyu Tao
  • Yuepeng Pan
  • Tong Zhu
Original Paper
  • 15 Downloads

Abstract

Persistent severe haze pollution seldom happens in summer in Beijing. In this study, a persistent severe haze pollution event, defined as daily PM2.5 concentration higher than 150 μg m−3 on 5 consecutive days, was observed in Beijing from 26 to 30 in July 2010. It was not caused by crop residue burning during the harvest period. Weak pressure systems dominated at surface and implicated weak advection. Regional weak southerly winds with speeds of 2–3 m s−1 consistently brought pollutants from southern large-emission regions to Beijing. Surface convergence resulted from northerly winds prevailing in northern regions induced pollutants remaining in Beijing, which contributed to the maximum daily PM2.5 concentration on 26 in July. A continental high-pressure system persisted in the northwest of Beijing at 500 hPa, which led to significant sinking motion. Elevated inversion was found in the form of subsidence inversion, and this was confirmed by a skew T-logp diagram and vertical velocity analysis. It is much different from the vertical boundary layer structure in wintertime pollution period that surface-based inversion dominates. The subsidence inversion was an extremely stable layer with an average depth of hundred meters and strength of 1.4 °C. The capping effect of the inversion layer at low altitude of average 720 m limited vertical diffusion of pollutants and trapped them in a shallow layer, and thus, extremely high concentration of PM2.5 remained. WRF-Chem model simulation demonstrated that about 70% of PM2.5 was transported to Beijing from its southern regions.

Notes

Acknowledgements

This research was supported by National Key R&D Program of China (2016YFC0201505) and National Natural Science Foundation of China (91644212 and 41675142). The observational sounding data and skew T-logP diagram were obtained from the University of Wyoming. The ERA-interim data were from the European Center for Medium-Range Weather Forecasts. The surface meteorological data were collected from National Climatic Data Center. The authors thank Prof. Shanhong Gao in Ocean University of China for his contribution to the synoptic charts. The authors declare that they have no conflict of interest.

Supplementary material

703_2019_673_MOESM1_ESM.docx (2.5 mb)
Supplementary material 1 (DOCX 2521 kb)

References

  1. Beaver S, Palazoglu A (2009) Influence of synoptic and mesoscale meteorology on ozone pollution potential for San Joaquin Valley of California. Atmos Environ 43:1779–1788CrossRefGoogle Scholar
  2. Cao ZQ, Sheng LF, Liu Q, Yao XH, Wang WC (2015) Interannual increase of regional haze-fog in North China Plain in summer by intensified easterly winds and orographic forcing. Atmos Environ 122:154–162CrossRefGoogle Scholar
  3. Carlson MA, Stull RB (1986) Subsidence in the nocturnal boundary-layer. J Clim Appl Meteorol 25:1088–1099CrossRefGoogle Scholar
  4. Chen H, Wang H (2015) Haze days in North China and the associated atmospheric circulations based on daily visibility data from 1960 to 2012. J Geophys Res-Atmos 120:5895–5909CrossRefGoogle Scholar
  5. Chen Y, Zhao C, Zhang Q, Deng Z, Huang M, Ma X (2009) Aircraft study of mountain chimney effect of Beijing, China. J Geophys Res-Atmos 114:D9Google Scholar
  6. Cheng Y, Engling G, He KB, Duan FK, Ma YL, Du ZY, Liu JM, Zheng M, Weber RJ (2013) Biomass burning contribution to Beijing aerosol. Atmos Chem Phys 13:7765–7781CrossRefGoogle Scholar
  7. Ding AJ, Huang X, Nie W, Sun JN, Kerminen VM, Petaja T, Su H, Cheng YF, Yang XQ, Wang MH, Chi XG, Wang JP, Virkkula A, Guo WD, Yuan J, Wang SY, Zhang RJ, Wu YF, Song Y, Zhu T, Zilitinkevich S, Kulmala M, Fu CB (2016) Enhanced haze pollution by black carbon in megacities in China. Geophys Res Lett 43:2873–2879CrossRefGoogle Scholar
  8. Ding Y, Wu P, Liu Y, Song Y (2017) Environmental and dynamic conditions for the occurrence of persistent haze events in North China. Engineering 3:266–271CrossRefGoogle Scholar
  9. Draxier RR, Hess GD (1998) An overview of the HYSPLIT_4 modelling system for trajectories, dispersion and deposition. Aust Meteorol Mag 47:295–308Google Scholar
  10. Emanuel K (1994) Atmospheric convection. Oxford University Press, New York and OxfordGoogle Scholar
  11. Gao T, Si Y, Yan W, Gao L, Yu X, Xiao S (2014) Typical synoptic types of spring effective precipitation in Inner Mongolia, China. Meteorol Appl 21:330–339CrossRefGoogle Scholar
  12. Gao M, Carmichael GR, Wang Y, Saide PE, Yu M, Xin J, Liu Z, Wang Z (2016) Modeling study of the 2010 regional haze event in the North China Plain. Atmos Chem Phys 16:1673–1691CrossRefGoogle Scholar
  13. Garstang M, Tyson PD, Swap R, Edwards M, Kallberg P, Lindesay JA (1996) Horizontal and vertical transport of air over southern Africa. J Geophys Res-Atmos 101:23721–23736CrossRefGoogle Scholar
  14. Han SQ, Wu JH, Zhang YF, Cai ZY, Feng YC, Yao Q, Li XJ, Liu YW, Zhang M (2014) Characteristics and formation mechanism of a winter haze-fog episode in Tianjin, China. Atmos Environ 98:323–330CrossRefGoogle Scholar
  15. Hanna SR, Yang RX (2001) Evaluations of mesoscale models’ simulations of near-surface winds, temperature gradients, and mixing depths. J Appl Meteorol 40:1095–1104CrossRefGoogle Scholar
  16. He Z, Li P, Qiao C, Wang R, Liang Y, Gu X (2007) Reason for extreme high temperature in Zhengzhou, Henan Province. Meteorol Mon 33:68–75Google Scholar
  17. Huang X, Song Y, Li M, Li J, Zhu T (2012) Harvest season, high polluted season in East China. Environ Res Letters 7:044033.  https://doi.org/10.1088/1748-9326/7/4/044033 CrossRefGoogle Scholar
  18. Huang RJ, Zhang YL, Bozzetti C, Ho KF, Cao JJ, Han YM, Daellenbach KR, Slowik JG, Platt SM, Canonaco F, Zotter P, Wolf R, Pieber SM, Bruns EA, Crippa M, Ciarelli G, Piazzalunga A, Schwikowski M, Abbaszade G, Schnelle-Kreis J, Zimmermann R, An ZS, Szidat S, Baltensperger U, El Haddad I, Prevot ASH (2014a) High secondary aerosol contribution to particulate pollution during haze events in China. Nature 514:218–222CrossRefGoogle Scholar
  19. Huang X, Song Y, Zhao C, Li MM, Zhu T, Zhang Q, Zhang XY (2014b) Pathways of sulfate enhancement by natural and anthropogenic mineral aerosols in China. J Geophys Res-Atmos 119:14165–14179CrossRefGoogle Scholar
  20. Huang X, Song Y, Zhao C, Cai XH, Zhang HS, Zhu T (2015) Direct radiative effect by multicomponent aerosol over China. J Clim 28:3472–3495CrossRefGoogle Scholar
  21. Hui G, Xiang L (2015) Influences of El Nino Southern Oscillation events on haze frequency in eastern China during boreal winters. Int J Climatol 35:2682–2688CrossRefGoogle Scholar
  22. Ji DS, Wang YS, Wang LL, Chen LF, Hu B, Tang GQ, Xin JY, Song T, Wen TX, Sun Y, Pan YP, Liu ZR (2012) Analysis of heavy pollution episodes in selected cities of northern China. Atmos Environ 50:338–348CrossRefGoogle Scholar
  23. Jiang C, Wang H, Zhao T, Li T, Che H (2015) Modeling study of PM2.5 pollutant transport across cities in China’s Jing-Jin-Ji region during a severe haze episode in December 2013. Atmos Chem Phys 15:5803–5814CrossRefGoogle Scholar
  24. Kang HQ, Zhu B, Su JF, Wang HL, Zhang QC, Wang F (2013) Analysis of a long-lasting haze episode in Nanjing, China. Atmos Res 120:78–87CrossRefGoogle Scholar
  25. Kousky VE, Gan MA (1981) Upper tropospheric cyclonic vortices in the tropical South-Atlantic. Tellus 33:538–551CrossRefGoogle Scholar
  26. Li JF, Song Y, Mao Y, Mao ZC, Wu YS, Li MM, Huang X, He QC, Hu M (2014) Chemical characteristics and source apportionment of PM2.5 during the harvest season in eastern China’s agricultural regions. Atmos Environ 92:442–448CrossRefGoogle Scholar
  27. Liu S, Liu Z, Li J, Wang Y, Ma Y, Sheng L, Liu H, Liang F, Xin G, Wang J (2009) Numerical simulation for the coupling effect of local atmospheric circulations over the area of Beijing, Tianjin and Hebei Province. Sci China Ser D-Earth Sci 52:382–392CrossRefGoogle Scholar
  28. Liu J, Mauzerall DL, Chen Q, Zhang Q, Song Y, Peng W, Klimont Z, Qiu X, Zhang S, Hu M, Lin W, Smith KR, Zhu T (2016) Air pollutant emissions from Chinese households: a major and underappreciated ambient pollution source. Proc Natl Acad Sci USA 113:7756–7761CrossRefGoogle Scholar
  29. Lu Z, Zhang Q, Streets DG (2011) Sulfur dioxide and primary carbonaceous aerosol emissions in China and India, 1996–2010. Atmos Chem Phys 11:9839–9864CrossRefGoogle Scholar
  30. Marquet P (2011) Definition of a moist entropy potential temperature: application to FIRE-I data flights. Quart J R Meteorol Soc 137:768–791CrossRefGoogle Scholar
  31. Miao Y, Guo J, Liu S, Liu H, Li Z, Zhang W, Zhai P (2017) Classification of summertime synoptic patterns in Beijing and their associations with boundary layer structure affecting aerosol pollution. Atmos Chem Phys 17:3097–3110CrossRefGoogle Scholar
  32. Millan M, Salvador R, Mantilla E, Artinano B (1996) Meteorology and photochemical air pollution in Southern Europe: experimental results from EC research projects. Atmos Environ 30:1909–1924CrossRefGoogle Scholar
  33. Pearce JL, Beringer J, Nicholls N, Hyndman RJ, Uotila P, Tapper NJ (2011) Investigating the influence of synoptic-scale meteorology on air quality using self-organizing maps and generalized additive modelling. Atmos Environ 45:128–136CrossRefGoogle Scholar
  34. Peng HQ, Liu DY, Zhou B, Su Y, Wu JM, Shen H, Wei JS, Cao L (2016) Boundary-layer characteristics of persistent regional haze events and heavy haze days in Eastern China. Adv Meteorol.  https://doi.org/10.1155/2016/6950154 Google Scholar
  35. Pope CA, Dockery DW (2006) Health effects of fine particulate air pollution: lines that connect. J Air Waste Manag Assoc 56:709–742CrossRefGoogle Scholar
  36. Pope CA, Burnett RT, Thurston GD, Thun MJ, Calle EE, Krewski D, Godleski JJ (2004) Cardiovascular mortality and long-term exposure to particulate air pollution—epidemiological evidence of general pathophysiological pathways of disease. Circulation 109:71–77CrossRefGoogle Scholar
  37. Qian T, Wang Y, Zheng Z, Zheng Y (2005) A case study of the structure of the Hetao high which caused long-lasting hot weather in Beijing. J Appl Meteorol Sci 16:167–173Google Scholar
  38. Qin K, Wang LY, Wu LX, Xu J, Rao LL, Letu H, Shi TW, Wang RF (2017) A campaign for investigating aerosol optical properties during winter hazes over Shijiazhuang, China. Atmos Res 198:113–122CrossRefGoogle Scholar
  39. Readings BRRaCJ (1974) A case study of the structure and energetics of an inversion. Quart J R Met Soc 100:221–233CrossRefGoogle Scholar
  40. Satyanarayana ANV, Sultana S, Rao TN, Kumar SS (2014) Evaluation of atmospheric turbulence, energy exchanges and structure of convective cores during the occurrence of mesoscale convective systems using MST radar facility at Gadanki. Atmos Res 143:198–215CrossRefGoogle Scholar
  41. Schaller NBEK (1982) The structure of the subpolar inversion-capped ABL. Arch Meteorol Geophys Bioclimatol Ser A 31:1–18Google Scholar
  42. Shi CZ, Wang SS, Liu R, Zhou R, Li DH, Wang WX, Li ZQ, Cheng TT, Zhou B (2015) A study of aerosol optical properties during ozone pollution episodes in 2013 over Shanghai, China. Atmos Res 153:235–249CrossRefGoogle Scholar
  43. Stein AF, Draxler RR, Rolph GD, Stunder BJB, Cohen MD, Ngan F (2015) NOAA’s HYSPLITt atmospheric transport and dispersion modeling system. Bull Am Meteorol Soc 96:2059–2077CrossRefGoogle Scholar
  44. Sun Y, Song T, Tang GQ, Wang YS (2013) The vertical distribution of PM2.5 and boundary-layer structure during summer haze in Beijing. Atmos Environ 74:413–421CrossRefGoogle Scholar
  45. Tan JH, Duan JC, Chen DH, Wang XH, Guo SJ, Bi XH, Sheng GY, He KB, Fu JM (2009) Chemical characteristics of haze during summer and winter in Guangzhou. Atmos Res 94:238–245CrossRefGoogle Scholar
  46. Wang HJ, Chen HP (2016) Understanding the recent trend of haze pollution in eastern China: roles of climate change. Atmos Chem Phys 16:4205–4211CrossRefGoogle Scholar
  47. Wang H, Tan S-C, Wang Y, Jiang C, G-y Shi, Zhang M-X, Che H-Z (2014a) A multisource observation study of the severe prolonged regional haze episode over eastern China in January 2013. Atmos Environ 89:807–815CrossRefGoogle Scholar
  48. Wang H, Xu J, Zhang M, Yang Y, Shen X, Wang Y, Chen D, Guo J (2014b) A study of the meteorological causes of a prolonged and severe haze episode in January 2013 over central-eastern China. Atmos Environ 98:146–157CrossRefGoogle Scholar
  49. Wang LT, Wei Z, Yang J, Zhang Y, Zhang FF, Su J, Meng CC, Zhang Q (2014c) The 2013 severe haze over southern Hebei, China: model evaluation, source apportionment, and policy implications. Atmos Chem Phys 14:3151–3173CrossRefGoogle Scholar
  50. Wang Z, Li J, Wang Z, Yang W, Tang X, Ge B, Yan P, Zhu L, Chen X, Chen H, Wand W, Li J, Liu B, Wang X, Zhao Y, Lu N, Su D (2014d) Modeling study of regional severe hazes over mid-eastern China in January 2013 and its implications on pollution prevention and control. Sci China-Earth Sci 57:3–13CrossRefGoogle Scholar
  51. Wang HJ, Chen HP, Liu JP (2015) Arctic sea ice decline intensified haze pollution in Eastern China. Atmos Ocean Sci Lett 8:1–9Google Scholar
  52. Wang JQ, Qu WJ, Li C, Zhao CH, Zhong X (2018a) Spatial distribution of wintertime air pollution in major cities over eastern China: relationship with the evolution of trough, ridge and synoptic system over East Asia. Atmos Res 212:186–201CrossRefGoogle Scholar
  53. Wang Z, Huang X, Ding A (2018b) Dome effect of black carbon and its key influencing factors: a one-dimensional modelling study. Atmos Chem Phys 18:2821–2834CrossRefGoogle Scholar
  54. Wu D, Tie XX, Li CC, Ying ZM, Lau AKH, Huang J, Deng XJ, Bi XY (2005) An extremely low visibility event over the Guangzhou region: a case study. Atmos Environ 39:6568–6577CrossRefGoogle Scholar
  55. Wu P, Ding Y, Liu Y (2017) Atmospheric circulation and dynamic mechanism for persistent haze events in the Beijing-Tianjin-Hebei region. Adv Atmos Sci 34:429–440CrossRefGoogle Scholar
  56. Xu WY, Zhao CS, Ran L, Deng ZZ, Liu PF, Ma N, Lin WL, Xu XB, Yan P, He X, Yu J, Liang WD, Chen LL (2011) Characteristics of pollutants and their correlation to meteorological conditions at a suburban site in the North China Plain. Atmos Chem Phys 11:4353–4369CrossRefGoogle Scholar
  57. Xu X, Zhao T, Liu F, Gong SL, Kristovich D, Lu C, Guo Y, Cheng X, Wang Y, Ding G (2016) Climate modulation of the Tibetan Plateau on haze in China. Atmos Chem Phys 16:1365–1375CrossRefGoogle Scholar
  58. Yang YR, Liu XG, Qu Y, Wang JL, An JL, Zhang Y, Zhang F (2015) Formation mechanism of continuous extreme haze episodes in the megacity Beijing, China, in January 2013. Atmos Res 155:192–203CrossRefGoogle Scholar
  59. Yu F, Wang Q, Yan QS, Jiang N, Wei JH, Wei ZY, Yin SS (2018) Particle size distribution, chemical composition and meteorological factor analysis: a case study during wintertime snow cover in Zhengzhou, China. Atmos Res 202:140–147CrossRefGoogle Scholar
  60. Zhang Q, Streets DG, Carmichael GR, He KB, Huo H, Kannari A, Klimont Z, Park IS, Reddy S, Fu JS, Chen D, Duan L, Lei Y, Wang LT, Yao ZL (2009) Asian emissions in 2006 for the NASA INTEX-B mission. Atmos Chem Phys 9:5131–5153CrossRefGoogle Scholar
  61. Zhang JP, Zhu T, Zhang QH, Li CC, Shu HL, Ying Y, Dai ZP, Wang X, Liu XY, Liang AM, Shen HX, Yi BQ (2012) The impact of circulation patterns on regional transport pathways and air quality over Beijing and its surroundings. Atmos Chem Phys 12:5031–5053CrossRefGoogle Scholar
  62. Zhang R, Li Q, Zhang R (2014) Meteorological conditions for the persistent severe fog and haze event over eastern China in January 2013. Sci China-Earth Sci 57:26–35CrossRefGoogle Scholar
  63. Zhang L, Wang T, Lv MY, Zhang Q (2015) On the severe haze in Beijing during January 2013: unraveling the effects of meteorological anomalies with WRF-Chem. Atmos Environ 104:11–21CrossRefGoogle Scholar
  64. Zhang ZY, Gong DY, Mao R, Qiao L, Kim SJ, Liu SC (2019) Possible influence of the Antarctic oscillation on haze pollution in North China. J Geophys Res-Atmos 124:1307–1321CrossRefGoogle Scholar
  65. Zhao XJ, Zhao PS, Xu J, Meng W, Pu WW, Dong F, He D, Shi QF (2013) Analysis of a winter regional haze event and its formation mechanism in the North China Plain. Atmos Chem Phys 13:5685–5696CrossRefGoogle Scholar
  66. Zheng M, Salmon LG, Schauer JJ, Zeng LM, Kiang CS, Zhang YH, Cass GR (2005) Seasonal trends in PM2.5 source contributions in Beijing. China Atmos Environ 39:3967–3976CrossRefGoogle Scholar
  67. Zheng GJ, Duan FK, Su H, Ma YL, Cheng Y, Zheng B, Zhang Q, Huang T, Kimoto T, Chang D, Poschl U, Cheng YF, He KB (2015) Exploring the severe winter haze in Beijing: the impact of synoptic weather, regional transport and heterogeneous reactions. Atmos Chem Phys 15:2969–2983CrossRefGoogle Scholar
  68. Zhong JT, Zhang XY, Wang YQ, Liu C, Dong YS (2018) Heavy aerosol pollution episodes in winter Beijing enhanced by radiative cooling effects of aerosols. Atmos Res 209:59–64CrossRefGoogle Scholar
  69. Zhu XW, Tang GQ, Lv F, Hu B, Cheng MT, Munkel C, Schafer K, Xin JY, An XQ, Wang GC, Li X, Wang YS (2018) The spatial representativeness of mixing layer height observations in the North China Plain. Atmos Res 209:204–211CrossRefGoogle Scholar

Copyright information

© Springer-Verlag GmbH Austria, part of Springer Nature 2019

Authors and Affiliations

  • Tingting Xu
    • 1
  • Yu Song
    • 1
    Email author
  • Minsi Zhang
    • 2
  • Mingxu Liu
    • 1
  • Xuhui Cai
    • 1
  • Hongsheng Zhang
    • 3
  • Zuyu Tao
    • 3
  • Yuepeng Pan
    • 4
  • Tong Zhu
    • 1
  1. 1.State Key Joint Laboratory of Environmental Simulation and Pollution Control, Department of Environmental SciencePeking UniversityBeijingPeople’s Republic of China
  2. 2.National Center for Climate Change Strategy and International Cooperation (NCSC)BeijingPeople’s Republic of China
  3. 3.Laboratory for Climate and Ocean–Atmosphere Studies, Department of Atmospheric and Oceanic Sciences, School of PhysicsPeking UniversityBeijingPeople’s Republic of China
  4. 4.State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric ChemistryInstitute of Atmospheric Physics, Chinese Academy of SciencesBeijingPeople’s Republic of China

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