Articles | Volume 21, issue 7
https://doi.org/10.5194/acp-21-5739-2021
© 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-21-5739-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
16 Apr 2021
Research article |
| 16 Apr 2021
| 16 Apr 2021
The impact threshold of the aerosol radiative forcing on the boundary layer structure in the pollution region
Dandan Zhao
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing 100029, China
College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
Jinyuan Xin
CORRESPONDING AUTHOR
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing 100029, China
College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters, Nanjing University of Information Science and
Technology, Nanjing 210044, China
Chongshui Gong
Institute of Arid Meteorology, China Meteorological Administration,
Lanzhou 730020, China
Jiannong Quan
Institute of Urban Meteorology, Chinese Meteorological Administration, Beijing 100089, China
Yuesi Wang
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing 100029, China
College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
Guiqian Tang
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing 100029, China
Yongxiang Ma
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing 100029, China
Lindong Dai
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing 100029, China
Xiaoyan Wu
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing 100029, China
Guangjing Liu
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing 100029, China
Yongjing Ma
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing 100029, China
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Cited articles
An, Z., Huang, R.-J., Zhang, R., Tie, X., Li, G., Cao, J., Zhou, W., Shi,
Z., Han, Y., Gu, Z., and Ji, Y.: Severe haze in northern China: A synergy of
anthropogenic emissions and atmospheric processes, P. Natl. Acad. Sci. USA, 116, 8657–8666, https://doi.org/10.1073/pnas.1900125116, 2019.
Andrews, D. G.: An Introduction to Atmospheric Physics, Cambridge University Press, Cambridge, https://doi.org/10.1017/CBO9780511800788, 2000.
Aron, R.: Mixing height–an inconsistent indicator of potential air
pollution concentrations, Atmos. Environ., 17, 2193–2197,
https://doi.org/10.1016/0004-6981(83)90215-9, 1983.
Barbaro, E., Arellano, J., Ouwersloot, H., Schröter, J., Donovan, D.,
and Krol, M.: Aerosols in the convective boundary layer: Shortwave radiation
effects on the coupled land–atmosphere system, J. Geophys. Res.-Atmos.,
119, 5845–5863, https://doi.org/10.1002/2013JD021237, 2014.
China National Environmental Monitoring Center: Observation data, available at: http://106.37.208.233:20035/, last access: 4 June 2020.
Dickerson, R. R., Kondragunta, S., Stenchikov, G., Civerolo, K. L.,
Doddridge, B. G., and Holben, B. N.: The impact of aerosols on solar
ultraviolet radiation and photochemical smog, Science, 278,
827–830, https://doi.org/10.1126/science.278.5339.827, 1997.
Ding, A., Huang, X., Nie, W., Sun, J., Kerminen, V.-M., Petäjä, T.,
Su, H., Cheng, Y., Yang, X., Wang, M., Chi, X., Wang, J., Virkkula, A., Guo,
W., Yuan, J., Wang, S., Zhang, R., Wu, Y., Song, Y., Zhu, T., Zilitinkevich,
S., and Kulmala, M.: Enhanced haze pollution by black carbon in megacities
in China, Geophys. Res. Lett., 43, 2873–2879,
https://doi.org/10.1002/2016GL067745, 2016.
Garratt, J.: The atmospheric boundary layer, Earth-Sci. Rev., 37, 89–134, https://doi.org/10.1016/0012-8252(94)90026-4,1992.
Gong, C., Xin, J., Wang, S., Wang, Y., Wang, P., Wang, L., and Li, P.: The
aerosol direct radiative forcing over the Beijing metropolitan area from
2004 to 2011, J. Aerosol Sci., 69, 62–70,
https://doi.org/10.1016/j.jaerosci.2013.12.007, 2014.
Gregory, L.: Cimel Sunphotometer (CSPHOT) Handbook, U.S. Department of Energy Office of Scientific and Technical Information, United States, Technical Report, DOE/SC-ARM/TR-056, 22 pp., https://doi.org/10.2172/1020262, 2011.
Guo, S., Hu, M., Zamora, M. L., Peng, J., Shang, D., Zheng, J., Du, Z., Wu,
Z., Shao, M., Zeng, L., Molina, M. J., and Zhang, R.: Elucidating severe
urban haze formation in China, P. Natl. Acad. Sci. USA, 111,
17373–17378, https://doi.org/10.1073/pnas.1419604111, 2014.
Haman, C. L., Couzo, E., Flynn, J. H., Vizuete, W., Heffron, B., and Lefer,
B. L.: Relationship between boundary layer heights and growth rates with
ground-level ozone in Houston, Texas, J. Geophys. Res.-Atmos., 119,
6230–6245, https://doi.org/10.1002/2013jd020473, 2014.
Han, S., Bian, H., Tie, X., Xie, Y., Sun, M., and Liu, A.: Impact of
nocturnal planetary boundary layer on urban air pollutants: Measurements
from a 250-m tower over Tianjin, China, J. Hazard. Mater., 162, 264–269,
https://doi.org/10.1016/j.jhazmat.2008.05.056, 2009.
Huang, X., Wang, Z., and Ding, A.: Impact of Aerosol-PBL Interaction on Haze
Pollution: Multiyear Observational Evidences in North China, Geophys. Res.
Lett., 45, 8596–8603, https://doi.org/10.1029/2018gl079239, 2018.
Kotthaus, S. and Grimmond, C. S. B.: Atmospheric boundary-layer
characteristics from ceilometer measurements. Part 1: A new method to track
mixed layer height and classify clouds, Q. J. Roy. Meteor. Soc., 144,
1525–1538, https://doi.org/10.1002/qj.3299, 2018.
Lee K., Li Z., Wong M., Xin J., Wang Y., Hao W., and Zhao F.: Aerosol single
scattering albedo estimated across China from a combination of ground and
satellite measurements, J. Geophys. Res.-Atmos., 112, D22S15,
https://doi.org/10.1029/2007JD009077, 2007.
Levy, R. C., Remer, L. A., and Dubovik, O.: Global aerosol optical
properties and application to Moderate Resolution Imaging Spectroradiometer
aerosol retrieval over land, J. Geophys. Res.-Atmos., 112, D13210,
https://doi.org/10.1029/2006jd007815, 2007.
Li, G., Bei, N., Cao, J., Huang, R., Wu, J., Feng, T., Wang, Y., Liu, S., Zhang, Q., Tie, X., and Molina, L. T.: A possible pathway for rapid growth of sulfate during haze days in China, Atmos. Chem. Phys., 17, 3301–3316, https://doi.org/10.5194/acp-17-3301-2017, 2017.
Li, J., Qiu, Q., Xin, L., Sun, F., and Li, L.: The Characteristics and Cause Analysis of Heavy-Air-Pollution in Autumn and Winter in Beijing (China), Environ. Monit. China, 2, 89–94, https://doi.org/10.19316/j.issn.1002-6002.2007.02.023, 2007.
Li, M., Wang, L., Liu, J., Gao, W., Song, T., Sun, Y., Li, L., Li, X., Wang,
Y., Liu, L., Daellenbach, K. R., Paasonen, P. J., Kerminen, V.-M., Kulmala,
M., and Wang, Y.: 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.
Li, Z., Lee, K.-H., Wang, Y., Xin, J., and Hao, W.-M.: First
observation-based estimates of cloud-free aerosol radiative forcing across
China, J. Geophys. Res.-Atmos., 115, D00K18, https://doi.org/10.1029/2009jd013306,
2010.
Liu, Q., Jia, X., Quan, J., Li, J., Li, X., Wu, Y., Chen, D., Wang, Z., and
Liu, Y.: New positive feedback mechanism between boundary layer meteorology
and secondary aerosol formation during severe haze events, Sci. Rep.-UK, 8, 6095, https://doi.org/10.1038/s41598-018-24366-3, 2018.
Ma, Q., Wu, Y., Zhang, D., Wang, X., and Zhang, R.: Roles of regional
transport and heterogeneous reactions in the PM2.5 increase during
winter haze episodes in Beijing, Sci. Total Environ., 599–600, 246–253,
https://doi.org/10.1016/j.scitotenv.2017.04.193, 2017.
Miao, Y., Guo, J., Liu, S., Zhao, C., Li, X., Zhang, G., Wei, W., and Ma,
Y.: Impacts of synoptic condition and planetary boundary layer structure on
the trans-boundary aerosol transport from Beijing-Tianjin-Hebei region to
northeast China, Atmos. Environ., 181, 1–11,
https://doi.org/10.1016/j.atmosenv.2018.03.005, 2018.
Münkel, C., Eresmaa, N., Rasanen, J., and Karppinen, A.: Retrieval of
mixing height and dust concentration with lidar ceilometer, Bound.-Lay.
Meteorol., 124, 117–128, https://doi.org/10.1007/s10546-006-9103-3, 2007.
Munro, D. S.: Boundary Layer Climatology, Springer, Dordrecht, https://doi.org/10.1007/1-4020-3266-8_32, 2005.
Niu, F., Li, Z., Li, C., Lee, K.-H., and Wang, M.: Increase of wintertime
fog in China: Potential impacts of weakening of the Eastern Asian monsoon
circulation and increasing aerosol loading, J. Geophys. Res.-Atmos., 115, D00K20, https://doi.org/10.1029/2009jd013484, 2010.
Petäjä, T., Jarvi, L., Kerminen, V. M., Ding, A. J., Sun, J. N., Nie, W., Kujansuu, J., Virkkula, A., Yang, X. Q., Fu, C. B., Zilitinkevich, S., and
Kulmala, M.: Enhanced air pollution via aerosol-boundary layer feedback in
China, Sci. Rep.-UK, 6, 18998, https://doi.org/10.1038/srep18998, 2016.
Pichugina, Y. L., Banta, R. M., Bonin, T., Brewer, W. A., Choukulkar, A.,
McCarty, B. J., Baidar, S., Draxl, C., Fernando, H. J. S., Kenyon, J.,
Krishnamurthy, R., Marquis, M., Olson, J., Sharp, J., and Stoelinga, M.:
Spatial Variability of Winds and HRRR-NCEP Model Error Statistics at Three
Doppler-Lidar Sites in the Wind-Energy Generation Region of the Columbia
River Basin, J. Appl. Meteorol. Clim., 58, 1633–1656,
https://doi.org/10.1175/jamc-d-18-0244.1, 2019.
Schaefer, K., Wang, Y., Muenkel, C., Emeis, S., Xin, J., Tang, G., Norra,
S., Schleicher, N., Vogt, J., and Suppan, P.: Evaluation of continuous ceilometer-based mixing layer heights and correlations with PM2.5 concentrations in Beijing. Proceedings of SPIE – The International Society for Optical Engineering, 7475, https://doi.org/10.1117/12.830430, 2009.
Stone, R. S., Anderson, G. P., Shettle, E. P., Andrews, E., Loukachine, K.,
Dutton, E. G., Schaaf, C., and Roman III, M. O.: Radiative impact of boreal
smoke in the Arctic: Observed and modeled, J. Geophys. Res.-Atmos., 113, D14S16, https://doi.org/10.1029/2007jd009657, 2008.
Stull, R. B.: An Introduction to Boundary Layer Meteorology. Springer, Dordrecht, https://doi.org/10.1007/978-94-009-3027-81988, 1988.
Su, T., Li, Z., and Kahn, R.: Relationships between the planetary boundary layer height and surface pollutants derived from lidar observations over China: regional pattern and influencing factors, Atmos. Chem. Phys., 18, 15921–15935, https://doi.org/10.5194/acp-18-15921-2018, 2018.
Tang, G., Zhu, X., Hu, B., Xin, J., Wang, L., Münkel, C., Mao, G., and Wang, Y.: Impact of emission controls on air quality in Beijing during APEC 2014: lidar ceilometer observations, Atmos. Chem. Phys., 15, 12667–12680, https://doi.org/10.5194/acp-15-12667-2015, 2015.
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, 2016.
Thompson, S. P. and Gardner, M.: A Little More about Curvature of
Curves, in: Calculus Made Easy, Palgrave, London, 249–262,
https://doi.org/10.1007/978-1-349-15058-8_25, 1998.
Tie, X., Huang, R.-J., Cao, J., Zhang, Q., Cheng, Y., Su, H., Chang, D.,
Poeschl, U., Hoffmann, T., Dusek, U., Li, G., Worsnop, D. R., and O'Dowd, C.
D.: Severe Pollution in China Amplified by Atmospheric Moisture, Sci. Rep.-UK, 7, 15760, https://doi.org/10.1038/s41598-017-15909-1, 2017.
Wang, J. Z., Gong, S. L., Zhang, X. Y., Yang, Y. Q., Hou, Q., Zhou, C. H.,
and Wang, Y. Q.: A Parameterized Method for Air-Quality Diagnosis and Its
Applications, Adv. Meteorol., 2012, 238589, https://doi.org/10.1155/2012/238589, 2012.
Wang, X., Wei, W., Cheng, S., Li, J., Zhang, H., and Lv, Z.: Characteristics
and classification of PM2.5 pollution episodes in Beijing from 2013 to
2015, Sci. Total Environ., 612, 170–179,
https://doi.org/10.1016/j.scitotenv.2017.08.206, 2018.
Wang, Y., Yao, L., Wang, L., Liu, Z., Ji, D., Tang, G., Zhang, J., Sun, Y.,
Hu, B., and Xin, J.: Mechanism for the formation of the January 2013 heavy
haze pollution episode over central and eastern China, Sci. China-Earth
Sci., 57, 14–25, https://doi.org/10.1007/s11430-013-4773-4, 2014.
Wilcox, E. M., Thomas, R. M., Praveen, P. S., Pistone, K., Bender, F. A. M.,
and Ramanathan, V.: Black carbon solar absorption suppresses turbulence in
the atmospheric boundary layer, P. Natl. Acad. Sci. USA, 113,
11794–11799, https://doi.org/10.1073/pnas.1525746113, 2016.
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, https://doi.org/10.1016/j.atmosres.2015.12.004, 2016.
Xu, T., Song, Y., Liu, M., Cai, X., Zhang, H., Guo, J., and Zhu, T.:
Temperature inversions in severe polluted days derived from radiosonde data
in North China from 2011 to 2016, Sci. Total Environ., 647, 1011–1020,
https://doi.org/10.1016/j.scitotenv.2018.08.088, 2019.
Yu, H., Liu, S., and Dickinson, R.: Radiative effects of aerosols on the
evolution of the atmospheric boundary layer, J. Geophys. Res., 107,
4142–4114, https://doi.org/10.1029/2001JD000754, 2002.
Yang, Y., Liao, H., and Lou, S.: Increase in winter haze over eastern China
in recent decades: Roles of variations in meteorological parameters and
anthropogenic emissions, J. Geophys. Res.-Atmos., 121, 13050–13065,
https://doi.org/10.1002/2016jd025136, 2016.
Zhang, R., Khalizov, A. F., Pagels, J., Zhang, D., Xue, H., and McMurry, P.
H.: Variability in morphology, hygroscopicity, and optical properties of
soot aerosols during atmospheric processing, P. Natl. Acad. Sci. USA, 105, 10291–10296, https://doi.org/10.1073/pnas.0804860105, 2008.
Zhang, Z., Zhang, X., Zhang, Y., Wang, Y., Zhou, H., Shen, X., Che, H., Sun,
J., and Zhang, L.: Characteristics of chemical composition and role of
meteorological factors during heavy aerosol pollution episodes in northern
Beijing area in autumn and winter of 2015, Tellus B, 69, 1347484,
https://doi.org/10.1080/16000889.2017.1347484, 2017.
Zhao, D., Xin, J., Gong, C., Quan, J., Liu, G., Zhao, W., Wang, Y., Liu, Z.,
and Song, T.: The formation mechanism of air pollution episodes in Beijing
city: Insights into the measured feedback between aerosol radiative forcing
and the atmospheric boundary layer stability, Sci. Total Environ., 692,
371–381, https://doi.org/10.1016/j.scitotenv.2019.07.255, 2019.
Zheng, C., Zhao, C., Zhu, Y., Wang, Y., Shi, X., Wu, X., Chen, T., Wu, F., and Qiu, Y.: Analysis of influential factors for the relationship between PM2.5 and AOD in Beijing, Atmos. Chem. Phys., 17, 13473–13489, https://doi.org/10.5194/acp-17-13473-2017, 2017.
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.
Zhong, J., Zhang, X., Wang, Y., Sun, J., Zhang, Y., Wang, J., Tan, K., Shen,
X., Che, H., Zhang, L., Zhang, Z., Qi, X., Zhao, H., Ren, S., and Li, Y.:
Relative Contributions of Boundary-Layer Meteorological Factors to the
Explosive Growth of PM2.5 during the Red-Alert Heavy Pollution Episodes
in Beijing in December 2016, J. Meteorol. Res., 31, 809–819,
https://doi.org/10.1007/s13351-017-7088-0, 2017.
Zhong, J., Zhang, X., Wang, Y., Liu, C., and Dong, Y.: Heavy aerosol
pollution episodes in winter Beijing enhanced by radiative cooling effects
of aerosols, Atmos. Res., 209, 59–64,
https://doi.org/10.1016/j.atmosres.2018.03.011, 2018a.
Zhong, J., Zhang, X., Dong, Y., Wang, Y., Liu, C., Wang, J., Zhang, Y., and Che, H.: Feedback effects of boundary-layer meteorological factors on cumulative explosive growth of PM2.5 during winter heavy pollution episodes in Beijing from 2013 to 2016, Atmos. Chem. Phys., 18, 247–258, https://doi.org/10.5194/acp-18-247-2018, 2018b.
Zhong, J., Zhang, X., Wang, Y., Wang, J., Shen, X., Zhang, H., Wang, T., Xie, Z., Liu, C., Zhang, H., Zhao, T., Sun, J., Fan, S., Gao, Z., Li, Y., and Wang, L.: The two-way feedback mechanism between unfavorable meteorological conditions and cumulative aerosol pollution in various haze regions of China, Atmos. Chem. Phys., 19, 3287–3306, https://doi.org/10.5194/acp-19-3287-2019, 2019.
Zhu, X., Tang, G., Lv, F., Hu, B., Cheng, M., Muenkel, C., Schafer, K., Xin,
J., An, X., Wang, G., Li, X., and Wang, Y.: The spatial representativeness
of mixing layer height observations in the North China Plain, Atmos. Res.,
209, 204–211, https://doi.org/10.1016/j.atmosres.2018.03.019, 2018.
Short summary
The influence of aerosol radiative forcing (ARF) on the boundary layer structure is nonlinear. The threshold of the modification effects of ARF on the boundary layer structure was determined for the first time, highlighting that once ARF exceeded a certain value, the boundary layer would quickly stabilize and aggravate air pollution. This could provide useful information for relevant atmospheric-environment improvement measures and policies.
The influence of aerosol radiative forcing (ARF) on the boundary layer structure is nonlinear....
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