Articles | Volume 21, issue 20
https://doi.org/10.5194/acp-21-15555-2021
© 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-21-15555-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
18 Oct 2021
Research article |
| 18 Oct 2021
| 18 Oct 2021
A black carbon peak and its sources in the free troposphere of Beijing induced by cyclone lifting and transport from central China
Zhenbin Wang
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disaster, Nanjing University of Information Science and Technology, Nanjing, 210044, China
Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing, 210044, China
Key Laboratory of Meteorological Disaster (KLME), Ministry of Education, Nanjing University of Information Science and Technology, Nanjing, 210044, China
Joint International Research Laboratory of Climate and Environment
Change (ILCEC), Nanjing University of Information Science and Technology, Nanjing, 210044, China
Bin Zhu
CORRESPONDING AUTHOR
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disaster, Nanjing University of Information Science and Technology, Nanjing, 210044, China
Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing, 210044, China
Key Laboratory of Meteorological Disaster (KLME), Ministry of Education, Nanjing University of Information Science and Technology, Nanjing, 210044, China
Joint International Research Laboratory of Climate and Environment
Change (ILCEC), Nanjing University of Information Science and Technology, Nanjing, 210044, China
Hanqing Kang
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disaster, Nanjing University of Information Science and Technology, Nanjing, 210044, China
Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing, 210044, China
Key Laboratory of Meteorological Disaster (KLME), Ministry of Education, Nanjing University of Information Science and Technology, Nanjing, 210044, China
Joint International Research Laboratory of Climate and Environment
Change (ILCEC), Nanjing University of Information Science and Technology, Nanjing, 210044, China
Wen Lu
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disaster, Nanjing University of Information Science and Technology, Nanjing, 210044, China
Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing, 210044, China
Key Laboratory of Meteorological Disaster (KLME), Ministry of Education, Nanjing University of Information Science and Technology, Nanjing, 210044, China
Joint International Research Laboratory of Climate and Environment
Change (ILCEC), Nanjing University of Information Science and Technology, Nanjing, 210044, China
Shuqi Yan
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disaster, Nanjing University of Information Science and Technology, Nanjing, 210044, China
Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing, 210044, China
Key Laboratory of Meteorological Disaster (KLME), Ministry of Education, Nanjing University of Information Science and Technology, Nanjing, 210044, China
Joint International Research Laboratory of Climate and Environment
Change (ILCEC), Nanjing University of Information Science and Technology, Nanjing, 210044, China
Delong Zhao
Beijing Weather Modification Office, Beijing, 100089, China
Weihang Zhang
College of Oceanic and Atmospheric Sciences, Ocean University of
China, Qingdao, 266100, China
Jinhui Gao
Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, School of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu, 610225, China
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We conducted a year-long study in Nanjing to understand how tiny airborne particles take up water, which affects air quality and climate. We found that particle water uptake varies by season and size, with lower values in summer due to more organic materials. Local pollution mainly influences smaller particles, while larger ones are shaped by air mass transport. These findings help improve climate models and support better air pollution control in fast-growing cities.
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Light absorption and radiative forcing of black carbon (BC) is influenced by both BC itself and its interactions with other aerosol chemical compositions. In this study, we used the online coupled WRF-Chem model to examine how emission control measures during the Asian-Pacific Economic Cooperation (APEC) conference affect the mixing state and light absorption of BC and the associated implications for BC-PBL interactions.
Hengnan Guo, Zefeng Zhang, Lin Jiang, Junlin An, Bin Zhu, Hanqing Kang, and Jing Wang
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Visibility is an indicator of atmospheric transparency and is widely used in many research fields. Although efforts have been made to improve the performance of visibility meters, a significant error exists in measured visibility data. This is because current methods of visibility measurement include a false assumption, which leads to the long-term neglect of an important source of visibility errors. Without major adjustments to current methods, it is not possible to obtain reliable data.
Jinhui Gao, Ying Li, Bin Zhu, Bo Hu, Lili Wang, and Fangwen Bao
Atmos. Chem. Phys., 20, 10831–10844, https://doi.org/10.5194/acp-20-10831-2020, https://doi.org/10.5194/acp-20-10831-2020, 2020
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Light extinction of aerosols can decease surface ozone mainly via reducing photochemical production of ozone. However, it also leads to high levels of ozone aloft being entrained down to the surface which partly counteracts the reduction in surface ozone. The impact of aerosols is more sensitive to local ozone, which suggests that while controlling the levels of aerosols, controlling the local ozone precursors is an effective way to suppress the increase of ozone over China at present.
Cited articles
Bergin, M. H., Cass, G. R., Xu, J., Fang, C., Zeng, L. M., Yu, T., Salmon,
L. G., Kiang, C. S., Tang, X. Y., Zhang, Y. H., and Chameides, W. L.:
Aerosol radiative, physical, and chemical properties in Beijing during June 1999, J. Geophys. Res.-Atmos., 106, 17969–17980,
https://doi.org/10.1029/2001JD900073, 2001.
Bond, T. C., Streets, D. G., Yarber, K. F., Nelson, S. M., Woo, J. H., and
Klimont, Z.: A technology-based global inventory of black and organic carbon
emissions from combustion, J. Geophys. Res.-Atmos., 109, D14203,
https://doi.org/10.1029/2003JD003697, 2004.
Bond, T. C., Doherty, S. J., Fahey, D. W., Forster, P. M., Berntsen, T.,
DeAngelo, B. J., Flanner, M. G., Ghan, S., Kärcher, B., Koch, D., Kinne,
S., Kondo, Y., Quinn, P. K., Sarofim, M. C., Schultz, M. G., Schulz, M.,
Venkataraman, C., Zhang, H., Zhang, S., Bellouin, N., Guttikunda, S. K.,
Hopke, P. K., Jacobson, M. Z., Kaiser, J. W., Klimont, Z., Lohmann, U.,
Schwarz, J. P., Shindell, D., Storelvmo, T., Warren, S. G., and Zender, C.
S.: Bounding the role of black carbon in the climate system: a scientific
assessment, J. Geophys. Res.-Atmos., 118, 5380–5552,
https://doi.org/10.1002/jgrd.50171, 2013.
Chen, F. and Dudhia, J.: Coupling an advanced land surface–hydrology model
with the Penn state–NCAR MM5 modeling system. part I: model implementation
and sensitivity, Mon. Weather Rev., 129, 569–585,
https://doi.org/10.1175/1520-0493(2001)129<0569:CAALSH>2.0.CO;2, 2001.
Chen, Z. H., Cheng, S. Y., Li, J. B., Guo, X. R., Wang, W. H., and Chen, D.
S.: Relationship between atmospheric pollution processes and synoptic pressure patterns in northern China, Atmos. Environ., 42, 6078–6087,
https://doi.org/10.1016/j.atmosenv.2008.03.043, 2008.
Ding, A. J., Huang, X., Nie, W., Sun, J. N., Kerminen, V. M., Petäjä, T., Su, H., Cheng, Y. F., Yang, X. Q., Wang, M. H., Chi, X. G., Wang, J. P., Virkkula, A., Guo, W. D., Yuan, J., Wang, S. Y., Zhang, R. J., Wu, Y. F., Song, Y., Zhu, T., Zilitinkevich, S., Kulmala, M., and Fu, C. B.: Enhanced haze pollution by black carbon in megacities in China, Geophys. Res. Lett., 43, 2873–2879, https://doi.org/10.1002/2016GL067745, 2016.
Emery, C. and Tai, E.: Enhanced Meteorological Modeling and Performance
Evaluation for Two Texas Ozone Episodes, Final Report Submitted to Texas
Natural Resources Conservation Commission, ENVIRON, International Corporation, Novato, USA, 2001.
Fang, C., Zhu, B., Pan, C., Yun, X., Ding, D., and Tao, S.: Regional and
sectoral sources for black carbon over South China in spring and their sensitivity to east Asian summer monsoon onset, J. Geophys. Res.-Atmos., 125, e2020JD033219, https://doi.org/10.1029/2020JD033219, 2020.
Gao, J., Zhu, B., Xiao, H., Kang, H., Hou, X., and Shao, P.: A case study of
surface ozone source apportionment during a high concentration episode, under frequent shifting wind conditions over the Yangtze River Delta, China, Sci. Total Environ., 544, 853–863, https://doi.org/10.1016/j.scitotenv.2015.12.039, 2016.
Gao, J., Li, Y., Zhu, B., Hu, B., Wang, L., and Bao, F.: What have we missed
when studying the impact of aerosols on surface ozone via changing photolysis rates?, Atmos. Chem. Phys., 20, 10831–10844, https://doi.org/10.5194/acp-20-10831-2020, 2020.
Guenther, A., Karl, T., Harley, P., Wiedinmyer, C., Palmer, P. I., and Geron, C.: Estimates of global terrestrial isoprene emissions using MEGAN (Model of Emissions of Gases and Aerosols from Nature), Atmos. Chem. Phys., 6, 3181–3210, https://doi.org/10.5194/acp-6-3181-2006, 2006.
He, K., Yang, F., Ma, Y., Zhang, Q., Yao, X., Chan, C. K., Cadle, S., Chan,
T., and Mulawa, P.: The characteristics of PM2.5 in Beijing, China, Atmos. Environ., 35, 4959–4970, https://doi.org/10.1016/S1352-2310(01)00301-6, 2001.
Hou, X., Zhu, B., Kumar, K. R., and Lu, W.: Inter-annual variability in fine
particulate matter pollution over China during 2013–2018: Role of
meteorology, Atmos. Environ., 214, 116842, https://doi.org/10.1016/j.atmosenv.2019.116842, 2019.
Hou, X., Zhu, B., Kumar, K. R., de Leeuw, G., Lu, W., Huang, Q., and Zhu, X.: Establishment of conceptual schemas of surface synoptic meteorological situations affecting fine particulate pollution across eastern China in the
winter, J. Geophys. Res., 125, e2020JD033153, https://doi.org/10.1029/2020JD033153, 2020.
Hu, K., Zhao, D., Liu, D., Ding, S., Tian, P., Yu, C., Zhou, W., Huang, M., and Ding, D.: Estimating radiative impacts of black carbon associated with
mixing state in the lower atmosphere over the northern North China Plain,
Chemosphere, 252, 126455, https://doi.org/10.1016/j.chemosphere.2020.126455, 2020.
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.
Iacono, M. J., Delamere, J. S., Mlawer, E. J., Shephard, M. W., Clough, S. A., and Collins, W. D.: Radiative forcing by long-lived greenhouse gases:
calculations with the AER radiative transfer models, J. Geophys. Res.-Atmos., 113, D13103, https://doi.org/10.1029/2008JD009944, 2008.
Igel, A. L., van den Heever, S. C., and Johnson, J. S.: Meteorological and
land surface properties impacting sea breeze extent and aerosol distribution
in a dry environment, J. Geophys. Res.-Atmos., 123, 22–37,
https://doi.org/10.1002/2017JD027339, 2018.
IPCC: Contribution of Working Group I to the Fifth Assessment Report of the
Intergovernmental Panel on Climate Change, Cambridge University Press,
Cambridge, UK and New York, USA, 2013.
Jacobson, M. Z.: Strong radiative heating due to the mixing state of black
carbon in atmospheric aerosols, Nature, 409, 695–697,
https://doi.org/10.1038/35055518, 2001.
Janjic, Z. I.: Nonsingular Implementation of the Mellor-Yamada Level 2.5 Scheme in the NCEP Meso Model, NCEP Technical Note 437, p. 61, available at:
https://repository.library.noaa.gov/view/noaa/11409 (last access: 15 October 2021), 2001.
Kang, H., Zhu, B., Liu, X., Shi, S., Hou, X., Lu, W., Yan, S., Pan, C., and
Chen, Y.: Three-dimensional distribution of PM2.5 over the yangtze river delta as cold fronts moving through, J. Geophys. Res., 126, e2020JD034035, https://doi.org/10.1029/2020JD034035, 2021.
Keegan, K. M., Albert, M. R., McConnell, J. R., and Baker, I.: Climate change and forest fires synergistically drive widespread melt events of the Greenland Ice Sheet, P. Natl. Acad. Sci. USA, 111, 7964–7967,
https://doi.org/10.1073/pnas.1405397111, 2014.
Lamarque, J. F., Emmons, L., Hess, P., Kinnison, D. E., Tilmes, S., Vitt, F., Heald, C., Holland, E. A., Lauritzen, P., and Neu, J.: CAM-chem: description and evaluation of interactive atmospheric chemistry in the community earth system model, Geosci. Model Dev., 5, 369–411, https://doi.org/10.5194/gmd-5-369-2012, 2012.
Lin, Y. L., Farley, R. D., and Orville, H. D.: Bulk parameterization of the
snow field in a cloud model, J. Appl. Meteorol. Clim., 22, 1065–1092,
https://doi.org/10.1175/1520-0450(1983)022<1065:BPOTSF>2.0.CO;2, 1983.
Liu, Y., Yan, C., and Zheng, M.: Source apportionment of black carbon during
winter in Beijing, Sci. Total Environ., 618, 531–541,
https://doi.org/10.1016/j.scitotenv.2017.11.053, 2018.
Lu, Y., Zhu, B., Huang, Y., Shi, S., Wang, H., An, J., and Yu, X.: Vertical
distributions of black carbon aerosols over rural areas of the Yangtze River
Delta in winter, Sci. Total Environ., 661, 1–9, https://doi.org/10.1016/j.scitotenv.2019.01.170, 2019.
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.
Ministry of Ecology and Environment of China: https://quotsoft.net/air/, last access: 15 October 2021.
Quan, J., Dou, Y., Zhao, X., Liu, Q., Sun, Z., Pan, Y., Jia, X., Cheng, Z., Ma, P., Su, J., and Xin, 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.
Sharma, S., Leaitch, W. R., Huang, L., Veber, D., Kolonjari, F., Zhang, W.,
Hanna, S. J., Bertram, A. K., and Ogren, J. A.: An evaluation of three methods for measuring black carbon in Alert, Canada, Atmos. Chem. Phys., 17,
15225–15243, https://doi.org/10.5194/acp-17-15225-2017, 2017.
Shi, S., Zhu, B., Lu, W., Yan, S., Fang, C., Liu, X., Liu, D., and Liu, C.:
Estimation of radiative forcing and heating rate based on vertical observation of black carbon in Nanjing, China, Sci. Total Environ., 756, 135–144, https://doi.org/10.1016/j.scitotenv.2020.144135, 2021.
Stephens, M., Turner, N., and Sandberg, J.: Particle identification by laser-induced incandescence in a solid-state laser cavity, Appl. Optics, 42,
3726–3736, https://doi.org/10.1364/AO.42.003726, 2003.
Tian, P., Liu, D., Huang, M., Liu, Q., Zhao, D., Ran, L., Deng, Z., Wu, Y.,
Fu, S., Bi, K., Gao, Q., He, H., Xue, H., and Ding, D.: The evolution of an
aerosol event observed from aircraft in Beijing: an insight into regional
pollution transport, Atmos. Environ., 206, 11–20, https://doi.org/10.1016/j.atmosenv.2019.02.005, 2019.
US EPA: Guidance on the Use of Models and Other Analyses for
Demonstrating Attainment of Air Quality Goals for Ozone, PM2.5, and Regional Haze, EPA-454/B-07-002, available at: https://nepis.epa.gov/Exe/ZyPURL.cgi?Dockey=P1006FPU.TXT (last access: 15 October 2021), 2007.
Van Pinxteren, D., Brüggemann, E., Gnauk, T., Iinuma, Y., Müller, K., Nowak, A., Achtert, P., Wiedensohler, A., and Herrmann, H.: Size-and time-resolved chemical particle characterization during CAREBeijing-2006:
different pollution regimes and diurnal profiles, J. Geophys. Res.-Atmos.,
114, D00G09, https://doi.org/10.1029/2008JD010890, 2009.
Wang, H., Rasch, P. J., Easter, R. C., Singh, B., Zhang, R., Ma, P. L., Qian, Y., Ghan, S. J., and Beagley, N.: Using an explicit emission tagging method in global modeling of source-receptor relationships for black carbon in the Arctic: Variations, sources, and transport pathways, J. Geophys. Res.-Atmos., 119, 12888–12909, https://doi.org/10.1002/2014JD022297, 2014.
Weingartner, E., Saathoff, H., Schnaiter, M., Streit, N., Bitnar, B., and
Baltensperger, U.: Absorption of light by soot particles: determination of the absorption coefficient by means of aethalometers, J. Aerosol Sci., 34,
1445–1463, https://doi.org/10.1016/S0021-8502(03)00359-8, 2003.
Wen, W., Ma, X., Guo, C., Wei, P., Zhao, X., and Xu, J.: Source apportionment of black carbon and the feedback effect on the meteorological factors in Beijing, China, Environ. Sci. Pollut. Res., 27, 41764–41775, https://doi.org/10.1007/s11356-020-09881-z, 2020.
Wesely, M. L.: Parameterization of surface resistances to gaseous dry deposition in regional-scale numerical-models, Atmos. Environ., 23, 1293–1304, https://doi.org/10.1016/j.atmosenv.2007.10.058, 1989.
Yang, Y., Wang, H., Smith, S. J., Ma, P. L., and Rasch, P. J.: Source attribution of black carbon and its direct radiative forcing in China,
Atmos. Chem. Phys., 17, 4319–4336, https://doi.org/10.5194/acp-17-4319-2017, 2017.
Yang, Y., Wang, H., Smith, S. J., Zhang, R., Lou, S., Yu, H., Li, C., and Rasch, P. J.: Source apportionments of aerosols and their direct radiative
forcing and long-term trends over continental United States, Earth's Future,
6, 793–808, https://doi.org/10.1029/2018EF000859, 2018.
Zaveri, R. A. and Peters, L. K.: A new lumped structure photochemical mechanism for large-scale applications, J. Geophys. Res.-Atmos., 104,
30387–30415, https://doi.org/10.1029/1999JD900876, 1999.
Zaveri, R. A., Easter, R. C., Fast, J. D., and Peters, L. K.: Model for
simulating aerosol interactions and chemistry (MOSAIC), J. Geophys. Res.-Atmos., 113, D13204, https://doi.org/10.1029/2007JD008782, 2008.
Zhang, Q., Jiang, X., Tong, D., Davis, S. J., Zhao, H., Geng, G., Feng, T.,
Zheng, B., Lu, Z., and Streets, D. G.: Transboundary health impacts of
transported global air pollution and international trade, Nature, 543, 705–709, https://doi.org/10.1029/2007JD008782, 2017.
Zhang, W. H., Hai, S., Zhao, Y., Sheng, L. Zhou, Y., Wang, W., and Li, W.:
Numerical modeling of regional transport of PM2.5 during a severe pollution event in the Beijing–Tianjin–Hebei region in November 2015, Atmos. Environ., 254, 118393, https://doi.org/10.1016/j.atmosenv.2021.118393, 2021.
Zhang, Y., Zhu, B., Gao, J., Kang, H., Yang, P., Wang, L., and Zhang, J.:
The source apportionment of primary PM2.5 in an aerosol pollution event
over Beijing-Tianjin-Hebei region using WRF-Chem, China, Aerosol Air Qual.
Res., 17, 2966–2980, https://doi.org/10.4209/aaqr.2016.10.0442, 2017.
Zhang, Y. L. and Cao, F.: Fine particulate matter (PM2.5) in China at a city level, Sci. Rep. 5, 14884, https://doi.org/10.1038/srep14884, 2015.
Zhang, Y. L., Huang, R. J., El Haddad, I., Ho, K. F., Cao, J. J., Han, Y.,
Zotter, P., Bozzetti, C., Daellenbach, K. R., and Canonaco, F.: Fossil vs. non-fossil sources of fine carbonaceous aerosols in four Chinese cities
during the extreme winter haze episode of 2013, Atmos. Chem. Phys., 15,
1299–1312, https://doi.org/10.5194/acp-15-1299-2015, 2015.
Zhao, D., Tie, X., Gao, Y., Zhang, Q., Tian, H., Bi, K., Jin, Y., and Chen, P.: In-situ aircraft measurements of the vertical distribution of black
carbon in the lower troposphere of Beijing, China, in the spring and summer
time, Atmosphere, 6, 713–731, https://doi.org/10.3390/atmos6050713, 2015.
Zhao, D., Huang, M., Tian, P., He, H., Lowe, D., Zhou, W., Sheng, J., Wang,
F., Bi, K., Kong, S., Yang, Y., Liu, Q., Liu, D., and Ding, D.: Vertical
characteristics of black carbon physical properties over Beijing region in
warm and cold seasons, Atmos. Environ., 213, 296–310,
https://doi.org/10.1016/j.atmosenv.2019.06.007, 2019.
Zhao, D., Liu, D., Yu, C., Tian, P., Hu, D., Zhou, W., Ding, S., Hu, K.,
Sun, Z., Huang, M., Huang, Y., Yang, Y., Wang, F., Shen, J., Liu, Q., Kong,
S., Li, X., He, H., and Ding, D.: Vertical evolution of black carbon
characteristics and heating rate during a haze event in Beijing winter, Sci.
Total Environ., 709, 136–251, 2020.
Zhu, B., Wang, Y. M., Gao, J. H., Zhao, T. L., and Wang, L. R.: Distribution
and source characteristics of Black carbon in autumn over Hunan-Hubei basin,
China, Trans. Atmos. Sci., 43, 592–602, https://doi.org/10.13878/j.cnki.dqkxxb.20200422001, 2020.
Short summary
In this paper, by using WRF-Chem with a black carbon (BC) tagging technique, we investigate the formation mechanism and regional sources of a BC peak in the free troposphere observed by aircraft flights. Local sources dominated BC from the surface to about 700 m (78.5 %), while the BC peak in the free troposphere was almost entirely imported from external sources (99.8 %). Our results indicate that cyclone systems can quickly lift BC up to the free troposphere, as well as extend its lifetime.
In this paper, by using WRF-Chem with a black carbon (BC) tagging technique, we investigate the...
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