Articles | Volume 21, issue 4
https://doi.org/10.5194/acp-21-2491-2021
© Author(s) 2021. 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-21-2491-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
19 Feb 2021
Research article |
| 19 Feb 2021
| 19 Feb 2021
Dominant synoptic patterns associated with the decay process of PM2.5 pollution episodes around Beijing
Department of Atmospheric and Oceanic Sciences & Institute of Atmospheric Sciences, Fudan University, Shanghai, China
Big Data Institute for Carbon Emission and Environmental Pollution, Fudan University, Shanghai, China
Shanghai Institute of Pollution Control and Ecological Security, Shanghai, China
Renhe Zhang
Department of Atmospheric and Oceanic Sciences & Institute of Atmospheric Sciences, Fudan University, Shanghai, China
Big Data Institute for Carbon Emission and Environmental Pollution, Fudan University, Shanghai, China
Yanke Tan
Department of Atmospheric and Oceanic Sciences & Institute of Atmospheric Sciences, Fudan University, Shanghai, China
Big Data Institute for Carbon Emission and Environmental Pollution, Fudan University, Shanghai, China
Wei Yu
Department of Atmospheric and Oceanic Sciences & Institute of Atmospheric Sciences, Fudan University, Shanghai, China
Shanghai Ecological Forecasting and Remote Sensing Center, Shanghai, China
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Cited articles
Air pollution targeted in 28 cities, available at:
http://www.chinadaily.com.cn/china/2017-08/26/content_31131288.htm (last access: 4 August
2020), 2017.
Bi, J., Huang, J., Hu, Z., Holben, B., and Guo, Z.: Investigating the aerosol optical
and radiative characteristics of heavy haze episodes in Beijing during January of 2013,
J. Geophys. Res.-Atmos., 119, 9884–9900, 2014.
Cai, W., Li, K., Liao, H., Wang, H., and Wu, L.: Weather conditions conducive to Beijing
severe haze more frequent under climate change, Nat. Clim. Change, 7, 257–262, 2017.
Cai, W., Xu, X., Cheng, X., Wei, F., Qiu, X., and Zhu, W.: Impact of “blocking”
structure in the troposphere on the wintertime persistent heavy air pollution in northern China,
Sci. Total Environ., 741, 140325, https://doi.org/10.1016/j.scitotenv.2020.140325, 2020.
Cavazos, T.: Using self-organizing maps to investigate extreme climate events: An
application to wintertime precipitation in the Balkans, J. Clim., 13, 1718–1732, 2000.
Che, H., Xia, X., Zhao, H., Dubovik, O., Holben, B. N., Goloub, P., Cuevas-Agulló, E.,
Estelles, V., Wang, Y., Zhu, J., Qi, B., Gong, W., Yang, H., Zhang, R., Yang, L., Chen, J., Wang,
H., Zheng, Y., Gui, K., Zhang, X., and Zhang, X.: Spatial distribution of aerosol microphysical
and optical properties and direct radiative effect from the China Aerosol Remote Sensing Network,
Atmos. Chem. Phys., 19, 11843–11864, https://doi.org/10.5194/acp-19-11843-2019, 2019.
Chen, D.: A monthly circulation climatology for Sweden and its application to a winter
temperature case study, Int. J. Climatol., 20, 1067–1076, 2000.
Chen, H. and Wang, H.: Haze days in North China and the associated atmospheric
circulations based on daily visibility data from 1960 to 2012, J. Geophys. Res.-Atmos., 120,
5895–5909, 2015.
Chen, S., Zhang, X., Lin, J., Huang, J., Zhao, D., Yuan, T., Huang, K., Luo, Y., Jia,
Z., and Zang, Z.: Fugitive road dust PM2.5 emissions and their potential health impacts,
Environ. Sci. Technol., 53, 8455–8465, 2019.
Chen, Z., Chen, D., Zhao, C., Kwan, M.-p., Cai, J., Zhuang, Y., Zhao, B., Wang, X.,
Chen, B., and Yang, J.: Influence of meteorological conditions on PM2.5 concentrations
across China: A review of methodology and mechanism, Environ. Int., 139, 105558, https://doi.org/10.1016/j.envint.2020.105558, 2020.
Cheng, Y., He, K.-b., Du, Z.-y., Zheng, M., Duan, F.-k., and Ma, Y.-l.: Humidity plays
an important role in the PM2.5 pollution in Beijing, Environ. Pollut., 197, 68–75,
2015.
COST Action 733 (COST733): http://cost733.met.no, last access:
12 February 2021.
Ding, A., Huang, X., Nie, W., Chi, X., Xu, Z., Zheng, L., Xu, Z., Xie, Y., Qi, X.,
Shen, Y., Sun, P., Wang, J., Wang, L., Sun, J., Yang, X.-Q., Qin, W., Zhang, X., Cheng, W., Liu,
W., Pan, L., and Fu, C.: Significant reduction of PM2.5 in eastern China due to
regional-scale emission control: evidence from SORPES in 2011–2018, Atmos. Chem. Phys., 19,
11791–11801, https://doi.org/10.5194/acp-19-11791-2019, 2019.
European Centre for Medium-Range Weather Forecasts
(ECMWF): Reanalysis datasets/ERA5, available at: https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era5,
last access: 12 February 2021.
Fan, L., Yan, Z., Chen, D., and Fu, C.: Comparison between two statistical downscaling
methods for summer daily rainfall in Chongqing, China, Int. J. Climatol., 35, 3781–3797, 2015.
Gao, M., Carmichael, G. R., Wang, Y., Saide, P. E., Liu, Z., Xin, J., Shan, Y., and
Wang, Z.: Chemical and Meteorological Feedbacks in the Formation of Intense Haze Events, in: Air
Pollution in Eastern Asia: An Integrated Perspective, Springer, Cham, 437–452, 2017.
Gong, C. and Liao, H.: A typical weather pattern for ozone pollution events in North
China, Atmos. Chem. Phys., 19, 13725–13740, https://doi.org/10.5194/acp-19-13725-2019, 2019.
Gu, Y., Huang, R.-J., Li, Y., Duan, J., Chen, Q., Hu, W., Zheng, Y., Lin, C., Ni, H.,
and Dai, W.: Chemical nature and sources of fine particles in urban Beijing: Seasonality and
formation mechanisms, Environ. Int., 140, 105732, https://doi.org/10.1016/j.envint.2020.105732, 2020.
Gui, K., Che, H., Zeng, Z., Wang, Y., Zhai, S., Wang, Z., Luo, M., Zhang, L., Liao, T.,
and Zhao, H.: Construction of a virtual PM2.5 observation network in China based on
high-density surface meteorological observations using the Extreme Gradient Boosting model,
Environ. Int., 141, 105801, https://doi.org/10.1016/j.envint.2020.105801, 2020.
Guo, J., Li, Y., Cohen, J. B., Li, J., Chen, D., Xu, H., Liu, L., Yin, J., Hu, K., and
Zhai, P.: Shift in the temporal trend of boundary layer height in China using long-term
(1979–2016) radiosonde data, Geophys. Res. Lett., 46, 6080–6089, 2019.
He, J., Zhang, L., Yao, Z., Che, H., Gong, S., Wang, M., Zhao, M., and Jing, B.: Source
apportionment of particulate matter based on numerical simulation during a severe pollution period
in Tangshan, North China, Environ. Pollut., 266, 115133, https://doi.org/10.1016/j.envpol.2020.115133, 2020.
Huang, R.-J., He, Y., Duan, J., Li, Y., Chen, Q., Zheng, Y., Chen, Y., Hu, W., Lin, C.,
Ni, H., Dai, W., Cao, J., Wu, Y., Zhang, R., Xu, W., Ovadnevaite, J., Ceburnis, D., Hoffmann, T.,
and O'Dowd, C. D.: Contrasting sources and processes of particulate species in haze days with low
and high relative humidity in wintertime Beijing, Atmos. Chem. Phys., 20, 9101–9114,
https://doi.org/10.5194/acp-20-9101-2020, 2020a.
Huang, X., Ding, A., Gao, J., Zheng, B., Zhou, D., Qi, X., Tang, R., Wang, J., Ren, C.,
and Nie, W.: Enhanced secondary pollution offset reduction of primary emissions during COVID-19
lockdown in China, Natl. Sci. Rev., 8, nwaa137, https://doi.org/10.1093/nsr/nwaa137, 2020b.
Huang, X., Ding, A., Wang, Z., Ding, K., Gao, J., Chai, F., and Fu, C.: Amplified
transboundary transport of haze by aerosol–boundary layer interaction in China, Nat. Geosci., 13,
1–7, 2020c.
Huth, R., Beck, C., Philipp, A., Demuzere, M., Ustrnul, Z., Cahynová, M.,
Kyselý, J., and Tveito, O. E.: Classifications of atmospheric circulation patterns: recent
advances and applications, Ann. NY Acad. Sci., 1146, 105–152, 2008.
Jenkinson, A. and Collison, F.: An initial climatology of gales over the North Synoptic
climatology. Branch Memorandum 62, UK Met. Office, Bracknell, 18, 1977.
Ji, D., Wang, Y., Wang, L., Chen, L., Hu, B., Tang, G., Xin, J., Song, T., Wen, T., and
Sun, Y.: Analysis of heavy pollution episodes in selected cities of northern China,
Atmos. Environ., 50, 338–348, 2012.
Jia, Y., Rahn, K. A., He, K., Wen, T., and Wang, Y.: A novel technique for quantifying
the regional component of urban aerosol solely from its sawtooth cycles, J. Geophys. Res.-Atmos.,
113, D21309, https://doi.org/10.1029/2008JD010389, 2008.
Jiang, Y., Xin, J., Wang, Y., Tang, G., Zhao, Y., Jia, D., Zhao, D., Wang, M., Dai, L.,
Wang, L., Wen, T., and Wu, F.: The dynamic-thermal structures of the planetary boundary layer
dominated by synoptic circulations and the regular effect on air pollution in Beijing,
Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2020-1123, in review,
2020.
Le, T., Wang, Y., Liu, L., Yang, J., Yung, Y. L., Li, G., and Seinfeld, J. H.:
Unexpected air pollution with marked emission reductions during the COVID-19 outbreak in China,
Science, 369, 702–706, 2020.
Leung, D. M., Tai, A. P. K., Mickley, L. J., Moch, J. M., van Donkelaar, A., Shen, L.,
and Martin, R. V.: Synoptic meteorological modes of variability for fine particulate matter
(PM2.5) air quality in major metropolitan regions of China, Atmos. Chem. Phys., 18,
6733–6748, https://doi.org/10.5194/acp-18-6733-2018, 2018.
Li, W. J., Shao, L. Y., and Buseck, P. R.: Haze types in Beijing and the influence of
agricultural biomass burning, Atmos. Chem. Phys., 10, 8119–8130,
https://doi.org/10.5194/acp-10-8119-2010, 2010.
Li, Q., Zhang, R., and Wang, Y.: Interannual variation of the wintertime fog–haze days
across central and eastern China and its relation with East Asian winter monsoon,
Int. J. Climatol., 36, 346–354, 2016.
Li, H., Zhang, Q., Zhang, Q., Chen, C., Wang, L., Wei, Z., Zhou, S., Parworth, C.,
Zheng, B., Canonaco, F., Prévôt, A. S. H., Chen, P., Zhang, H., Wallington, T. J., and He, K.:
Wintertime aerosol chemistry and haze evolution in an extremely polluted city of the North China
Plain: significant contribution from coal and biomass combustion, Atmos. Chem. Phys., 17,
4751–4768, https://doi.org/10.5194/acp-17-4751-2017, 2017.
Li, J., Li, C., and Zhao, C.: Different trends in extreme and median surface aerosol
extinction coefficients over China inferred from quality-controlled visibility data,
Atmos. Chem. Phys., 18, 3289–3298, https://doi.org/10.5194/acp-18-3289-2018, 2018a.
Li, J., Lv, Q., Jian, B., Zhang, M., Zhao, C., Fu, Q., Kawamoto, K., and Zhang, H.: The
impact of atmospheric stability and wind shear on vertical cloud overlap over the Tibetan Plateau,
Atmos. Chem. Phys., 18, 7329–7343, https://doi.org/10.5194/acp-18-7329-2018, 2018b.
Li, J., Liao, H., Hu, J., and Li, N.: Severe particulate pollution days in China during
2013–2018 and the associated typical weather patterns in Beijing-Tianjin-Hebei and the Yangtze
River Delta regions, Environ. Pollut., 248, 74–81, 2019.
Li, M., Wang, L., Liu, J., Gao, W., Song, T., Sun, Y., Li, L., Li, X., Wang, Y., and
Liu, L.: Exploring the regional pollution characteristics and meteorological formation mechanism
of PM2.5 in North China during 2013–2017, Environ. Int., 134, 105283,
https://doi.org/10.1016/j.envint.2019.105283, 2020.
Liu, C., Zhang, F., Miao, L., Lei, Y., and Yang, Q.: Future haze events in Beijing,
China: When climate warms by 1.5 and 2.0 ∘C, Int. J. Climatol., 40, 3689–3700, 2019.
Ma, J. and Zhang, R.: Opposite interdecadal variations of wintertime haze occurrence
over North China Plain and Yangtze River Delta regions in 1980–2013, Sci. Total Environ., 732,
139240, https://doi.org/10.1016/j.scitotenv.2020.139240, 2020.
Ma, Y., Ye, J., Xin, J., Zhang, W., Vilà-Guerau de Arellano, J., Wang, S., Zhao,
D., Dai, L., Ma, Y., and Wu, X.: The stove, dome, and umbrella effects of atmospheric aerosol on
the development of the planetary boundary layer in hazy regions, Geophys. Res. Lett., 47,
e2020GL087373, https://doi.org/10.1029/2020GL087373, 2020.
Miao, Y., Che, H., Zhang, X., and Liu, S.: Integrated impacts of synoptic forcing and
aerosol radiative effect on boundary layer and pollution in the Beijing–Tianjin–Hebei region,
China, Atmos. Chem. Phys., 20, 5899–5909, https://doi.org/10.5194/acp-20-5899-2020, 2020.
Ministry of Ecology and Environment of the People's
Republic of China (MEEPRC), http://106.37.208.233:20035, last access:
12 February 2021.
Mu, M., and Zhang, R.: Addressing the issue of fog and haze: A promising perspective
from meteorological science and technology, Sci. China Earth Sci., 57, 1–2, 2014.
Notice of the General Office of the State Council on Issuing the Air Pollution
Prevention and Control Action Plan, available at:
http://www.gov.cn/zwgk/2013-09/12/content_2486773.htm (last access: 4 August 2020), 2013.
Pei, L. and Yan, Z.: Diminishing clear winter skies in Beijing towards a possible
future, Environ. Res. Lett., 13, 124029, https://doi.org/10.1088/1748-9326/aaf032, 2018.
Pei, L., Yan, Z., Sun, Z., Miao, S., and Yao, Y.: Increasing persistent haze in
Beijing: potential impacts of weakening East Asian winter monsoons associated with northwestern
Pacific sea surface temperature trends, Atmos. Chem. Phys., 18, 3173–3183,
https://doi.org/10.5194/acp-18-3173-2018, 2018.
Pei, L., Yan, Z., Chen, D., and Miao, S.: Climate variability or anthropogenic
emissions: which caused Beijing Haze?, Environ. Res. Lett., 15, 034004, https://doi.org/10.1088/1748-9326/ab6f11, 2020.
Philipp, A., Beck, C., Esteban, P., Kreienkamp, F., Krennert, T., Lochbihler, K.,
Lykoudis, S. P., Pianko-Kluczynska, K., Post, P., and Alvarez, D. R.: cost733class-1.2 User guide, University of Augsburg, Augsburg, Germany, 10–21, 2014.
Quan, J., Dou, Y., Zhao, X., Liu, Q., Sun, Z., Pan, Y., Jia, X., Cheng, Z., Ma, P., and
Su, J.: Regional atmospheric pollutant transport mechanisms over the North China Plain driven by
topography and planetary boundary layer processes, Atmos. Environ., 221, 117098,
https://doi.org/10.1016/j.atmosenv.2019.117098, 2020.
Shi, X. and Brasseur, G. P.: The Response in Air Quality to the Reduction of Chinese
Economic Activities during the COVID-19 Outbreak, Geophys. Res. Lett., 47, e2020GL088070,
https://doi.org/10.1029/2020GL088070, 2020.
Sun, Y., Jiang, Q., Wang, Z., Fu, P., Li, J., Yang, T., and Yin, Y.: Investigation of
the sources and evolution processes of severe haze pollution in Beijing in January 2013,
J. Geophys. Res.-Atmos., 119, 4380–4398, 2014.
Tang, G., Zhang, J., Zhu, X., Song, T., Münkel, C., Hu, B., Schäfer, K., Liu, Z.,
Zhang, J., Wang, L., Xin, J., Suppan, P., and Wang, Y.: Mixing layer height and its implications
for air pollution over Beijing, China, Atmos. Chem. Phys., 16, 2459–2475,
https://doi.org/10.5194/acp-16-2459-2016, 2016a.
Tang, L., Yu, H., Ding, A., Zhang, Y., Qin, W., Wang, Z., Chen, W., Hua, Y., and Yang,
X.: Regional contribution to PM1 pollution during winter haze in Yangtze River Delta, China,
Sci. Total Environ., 541, 161–166, 2016b.
The State Council rolls out a three-year action plan for clean air, available at:
http://www.gov.cn/zhengce/content/2018-07/03/content_5303158.htm (last access: 4 August
2020), 2018.
Tie, X., Zhang, Q., He, H., Cao, J., Han, S., Gao, Y., Li, X., and Jia, X. C.: A
budget analysis of the formation of haze in Beijing, Atmos. Environ., 100, 25–36, 2015.
Valverde, V., Pay, M. T., and Baldasano, J. M.: Circulation-type classification derived
on a climatic basis to study air quality dynamics over the Iberian Peninsula, Int. J. Climatol.,
35, 2877–2897, 2015.
Wang, X.: Dataset for the decay process of PM2.5 pollution episodes around Beijing (Version 1) [Data set]. ACP. Zenodo, https://doi.org/10.5281/zenodo.4415029, 2021.
Wang, X. and Zhang, R.: Effects of atmospheric circulations on the interannual
variation in PM2.5 concentrations over the Beijing–Tianjin–Hebei region in 2013–2018,
Atmos. Chem. Phys., 20, 7667–7682, https://doi.org/10.5194/acp-20-7667-2020, 2020a.
Wang, X. and Zhang, R.: How Did Air Pollution Change during COVID-19 Outbreak in
China?, B. Am. Meteorol. Soc., 101, E1645–E1652, 2020b.
Wang, T., Nie, W., Gao, J., Xue, L. K., Gao, X. M., Wang, X. F., Qiu, J., Poon, C. N.,
Meinardi, S., Blake, D., Wang, S. L., Ding, A. J., Chai, F. H., Zhang, Q. Z., and Wang, W. X.: Air
quality during the 2008 Beijing Olympics: secondary pollutants and regional impact,
Atmos. Chem. Phys., 10, 7603–7615, https://doi.org/10.5194/acp-10-7603-2010, 2010.
Wang, H., Chen, H., and Liu, J.: Arctic sea ice decline intensified haze pollution in
eastern China, Atmos. Oceanic Sci. Lett., 8, 1–9, 2015.
Wang, X., Wang, K., and Su, L.: Contribution of atmospheric diffusion conditions to the
recent improvement in air quality in China, Sci. Rep., 6, 36404, https://doi.org/10.1038/srep36404, 2016.
Wang, X., Dickinson, R. E., Su, L., Zhou, C., and Wang, K.: PM2.5 pollution
in China and how it has been exacerbated by terrain and meteorological conditions,
B. Am. Meteorol. Soc., 99, 105–119, 2018.
Wang, X., Wei, H., Liu, J., Xu, B., Wang, M., Ji, M., and Jin, H.: Quantifying the
light absorption and source attribution of insoluble light-absorbing particles on Tibetan Plateau
glaciers between 2013 and 2015, The Cryosphere, 13, 309–324,
https://doi.org/10.5194/tc-13-309-2019, 2019a.
Wang, X., Zhang, R., and Yu, W.: The effects of PM2.5 concentrations and
relative humidity on atmospheric visibility in Beijing, J. Geophys. Res.-Atmos., 124, 2235–2259,
2019b.
Wang, Y., Duan, J., Xie, X., He, Q., Cheng, T., Mu, H., Gao, W., and Li, X.: Climatic
factors and their availability in estimating long-term variations of fine particle distributions
over East China, J. Geophys. Res.-Atmos., 124, 3319–3334, 2019c.
Wang, Y., Li, W., Gao, W., Liu, Z., Tian, S., Shen, R., Ji, D., Wang, S., Wang, L., and
Tang, G.: Trends in particulate matter and its chemical compositions in China from 2013–2017,
Sci. China Earth Sci., 62, 1857–1871, 2019d.
Wang, J., Liu, Y., and Ding, Y.: On the connection between interannual variations of
winter haze frequency over Beijing and different ENSO flavors, Sci. Total Environ., 740, 140109,
https://doi.org/10.1016/j.scitotenv.2020.140109, 2020a.
Wang, P., Chen, K., Zhu, S., Wang, P., and Zhang, H.: Severe air pollution events not
avoided by reduced anthropogenic activities during COVID-19 outbreak, Resour. Conserv. Recycl.,
158, 104814, https://doi.org/10.1016/j.resconrec.2020.104814, 2020b.
Wang, Y., Yu, M., Wang, Y., Tang, G., Song, T., Zhou, P., Liu, Z., Hu, B., Ji, D.,
Wang, L., Zhu, X., Yan, C., Ehn, M., Gao, W., Pan, Y., Xin, J., Sun, Y., Kerminen, V.-M., Kulmala,
M., and Petäjä, T.: Rapid formation of intense haze episodes via aerosol–boundary layer feedback
in Beijing, Atmos. Chem. Phys., 20, 45–53, https://doi.org/10.5194/acp-20-45-2020, 2020c.
Wu, P., Ding, Y., and Liu, Y.: Atmospheric circulation and dynamic mechanism for
persistent haze events in the Beijing–Tianjin–Hebei region, Adv. Atmos. Sci., 34, 429–440,
2017.
Xia, X., Che, H., Zhu, J., Chen, H., Cong, Z., Deng, X., Fan, X., Fu, Y., Goloub, P.,
and Jiang, H.: Ground-based remote sensing of aerosol climatology in China: Aerosol optical
properties, direct radiative effect and its parameterization, Atmos. Environ., 124, 243–251,
2016.
Xin, J., Wang, Y., Wang, L., Tang, G., Sun, Y., Pan, Y., and Ji, D.: Reductions of
PM2.5 in Beijing-Tianjin-Hebei urban agglomerations during the 2008 Olympic Games,
Adv. Atmos. Sci., 29, 1330–1342, 2012.
Xin, J., Gong, C., Wang, S., and Wang, Y.: Aerosol direct radiative forcing in desert
and semi-desert regions of northwestern China, Atmos. Res., 171, 56–65, 2016.
Xu, J., Chang, L., Qu, Y., Yan, F., Wang, F., and Fu, Q.: The meteorological modulation
on PM2.5 interannual oscillation during 2013 to 2015 in Shanghai, China, Sci. Total
Environ., 572, 1138–1149, 2016.
Yao, L., Garmash, O., Bianchi, F., Zheng, J., Yan, C., Kontkanen, J., Junninen, H.,
Mazon, S. B., Ehn, M., and Paasonen, P.: Atmospheric new particle formation from sulfuric acid and
amines in a Chinese megacity, Science, 361, 278–281, 2018.
Zhang, R.: Warming boosts air pollution, Nat. Clim. Change, 7, 238–239, 2017.
Zhang, R., Sumi, A., and Kimoto, M.: Impact of El Niño on the east Asian monsoon: A
diagnostic study of the '86–87 and '91–92 events, J. Meteorol. Soc. Japan, 74, 49–62, 1996.
Zhang, R., Li, Q., and Zhang, R.: Meteorological conditions for the persistent severe
fog and haze event over eastern China in January 2013, Sci. China Earth Sci., 57, 26–35, 2014.
Zhang, Z., Gong, D., Mao, R., Kim, S.-J., Xu, J., Zhao, X., and Ma, Z.: Cause and
predictability for the severe haze pollution in downtown Beijing in November–December 2015,
Sci. Total Environ., 592, 627–638, 2017.
Zhang, K., Ma, Y., Xin, J., Liu, Z., Ma, Y., Gao, D., Wu, J., Zhang, W., Wang, Y., and
Shen, P.: The aerosol optical properties and PM2.5 components over the world's largest
industrial zone in Tangshan, North China, Atmos. Res., 201, 226–234, 2018a.
Zhang, X., Zhong, J., Wang, J., Wang, Y., and Liu, Y.: The interdecadal worsening of
weather conditions affecting aerosol pollution in the Beijing area in relation to climate warming,
Atmos. Chem. Phys., 18, 5991–5999, https://doi.org/10.5194/acp-18-5991-2018, 2018b.
Zhang, Q., Zheng, Y., Tong, D., Shao, M., Wang, S., Zhang, Y., Xu, X., Wang, J., He,
H., and Liu, W.: Drivers of improved PM2.5 air quality in China from 2013 to 2017,
P. Natl. Acad. Sci. USA, 116, 24463–24469, 2019a.
Zhang, X., Xu, X., Ding, Y., Liu, Y., Zhang, H., Wang, Y., and Zhong, J.: The impact of
meteorological changes from 2013 to 2017 on PM2.5 mass reduction in key regions in
China, Sci. China Earth Sci., 62, 1885–1902, 2019b.
Zhang, F., Wang, Y., Peng, J., Chen, L., Sun, Y., Duan, L., Ge, X., Li, Y., Zhao, J.,
and Liu, C.: An unexpected catalyst dominates formation and radiative forcing of regional haze,
P. Natl. Acad. Sci. USA, 117, 3960–3966, 2020.
Zhao, G., Zhao, C., Kuang, Y., Tao, J., Tan, W., Bian, Y., Li, J., and Li, C.: Impact
of aerosol hygroscopic growth on retrieving aerosol extinction coefficient profiles from
elastic-backscatter lidar signals, Atmos. Chem. Phys., 17, 12133–12143,
https://doi.org/10.5194/acp-17-12133-2017, 2017.
Zhao, C., Li, Y., Zhang, F., Sun, Y., and Wang, P.: Growth rates of fine aerosol
particles at a site near Beijing in June 2013, Adv. Atmos. Sci., 35, 209–217, 2018a.
Zhao, D., Schmitt, S. H., Wang, M., Acir, I.-H., Tillmann, R., Tan, Z., Novelli, A.,
Fuchs, H., Pullinen, I., Wegener, R., Rohrer, F., Wildt, J., Kiendler-Scharr, A., Wahner, A., and
Mentel, T. F.: Effects of NOx and SO2 on the secondary organic aerosol
formation from photooxidation of α-pinene and limonene, Atmos. Chem. Phys., 18, 1611–1628,
https://doi.org/10.5194/acp-18-1611-2018, 2018b.
Zhao, C., Wang, Y., Shi, X., Zhang, D., Wang, C., Jiang, J. H., Zhang, Q., and Fan, H.:
Estimating the contribution of local primary emissions to particulate pollution using high-density
station observations, J. Geophys. Res.-Atmos., 124, 1648–1661, 2019.
Zhao, C., Yang, Y., Fan, H., Huang, J., Fu, Y., Zhang, X., Kang, S., Cong, Z., Letu,
H., and Menenti, M.: Aerosol characteristics and impacts on weather and climate over the Tibetan
Plateau, Natl. Sci. Rev., 7, 492–495, 2020a.
Zhao, H., Che, H., Zhang, L., Gui, K., Ma, Y., Wang, Y., Wang, H., Zheng, Y., and
Zhang, X.: How aerosol transport from the North China plain contributes to air quality in
northeast China, Sci. Total Environ., 738, 139555, https://doi.org/10.1016/j.scitotenv.2020.139555, 2020b.
Zheng, G. J., Duan, F. K., Su, H., Ma, Y. L., Cheng, Y., Zheng, B., Zhang, Q., Huang,
T., Kimoto, T., Chang, D., Pöschl, U., Cheng, Y. F., and He, K. B.: Exploring the severe winter
haze in Beijing: the impact of synoptic weather, regional transport and heterogeneous reactions,
Atmos. Chem. Phys., 15, 2969–2983, https://doi.org/10.5194/acp-15-2969-2015, 2015.
Zheng, B., Tong, D., Li, M., Liu, F., Hong, C., Geng, G., Li, H., Li, X., Peng, L., Qi,
J., Yan, L., Zhang, Y., Zhao, H., Zheng, Y., He, K., and Zhang, Q.: Trends in China's
anthropogenic emissions since 2010 as the consequence of clean air actions, Atmos. Chem. Phys.,
18, 14095–14111, https://doi.org/10.5194/acp-18-14095-2018, 2018.
Zhu, X., Tang, G., Hu, B., Wang, L., Xin, J., Zhang, J., Liu, Z., Münkel, C., and
Wang, Y.: Regional pollution and its formation mechanism over North China Plain: A case study with
ceilometer observations and model simulations, J. Geophys. Res.-Atmos., 121, 14574–14588, 2016.
Short summary
The physical mechanisms of synoptic patterns affecting the decay process of air pollution episodes are investigated in this work. Three dominant circulation patterns are identified, which usually decrease the ambient PM2.5 concentrations by 27%–41% after they arrive around Beijing. Emission reductions led to a 4.3–5.7 μg (m3 yr-1)-1 decrease in PM2.5 concentrations around Beijing during 2014 to 2020.
The physical mechanisms of synoptic patterns affecting the decay process of air pollution...
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