Articles | Volume 22, issue 4
https://doi.org/10.5194/acp-22-2293-2022
© Author(s) 2022. 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-22-2293-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Characterizing the volatility and mixing state of ambient fine particles in the summer and winter of urban Beijing
Lu Chen
College of Global Change and Earth System Science, Beijing Normal
University, Beijing 100875, China
Environmental Science and Engineering Research Centre, School of Civil
and Environmental Engineering, Harbin Institute of Technology (Shenzhen),
518055 Shenzhen, China
Environmental Science and Engineering Research Centre, School of Civil
and Environmental Engineering, Harbin Institute of Technology (Shenzhen),
518055 Shenzhen, China
Don Collins
Chemical and Environmental Engineering, University of California,
Riverside, CA 92521, USA
Jingye Ren
College of Global Change and Earth System Science, Beijing Normal
University, Beijing 100875, China
Jieyao Liu
College of Global Change and Earth System Science, Beijing Normal
University, Beijing 100875, China
Sihui Jiang
College of Global Change and Earth System Science, Beijing Normal
University, Beijing 100875, China
Zhanqing Li
Earth System Science Interdisciplinary Center and Department of
Atmospheric and Oceanic Science, University of Maryland, College Park, MD,
USA
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Matthew W. Christensen, Andrew Gettelman, Jan Cermak, Guy Dagan, Michael Diamond, Alyson Douglas, Graham Feingold, Franziska Glassmeier, Tom Goren, Daniel P. Grosvenor, Edward Gryspeerdt, Ralph Kahn, Zhanqing Li, Po-Lun Ma, Florent Malavelle, Isabel L. McCoy, Daniel T. McCoy, Greg McFarquhar, Johannes Mülmenstädt, Sandip Pal, Anna Possner, Adam Povey, Johannes Quaas, Daniel Rosenfeld, Anja Schmidt, Roland Schrödner, Armin Sorooshian, Philip Stier, Velle Toll, Duncan Watson-Parris, Robert Wood, Mingxi Yang, and Tianle Yuan
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Sihui Jiang, Fang Zhang, Jingye Ren, Lu Chen, Xing Yan, Jieyao Liu, Yele Sun, and Zhanqing Li
Atmos. Chem. Phys., 21, 14293–14308, https://doi.org/10.5194/acp-21-14293-2021, https://doi.org/10.5194/acp-21-14293-2021, 2021
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New particle formation (NPF) can be a large source of CCN and affect weather and climate. Here we show that the NPF contributes largely to cloud droplet number concentration (Nd) but is suppressed at high particle number concentrations in Beijing due to water vapor competition. We also reveal a considerable impact of primary sources on the evaluation in the urban atmosphere. Our study has great significance for assessing NPF-associated effects on climate in polluted regions.
Rongmin Ren, Zhanqing Li, Peng Yan, Yuying Wang, Hao Wu, Maureen Cribb, Wei Wang, Xiao'ai Jin, Yanan Li, and Dongmei Zhang
Atmos. Chem. Phys., 21, 9977–9994, https://doi.org/10.5194/acp-21-9977-2021, https://doi.org/10.5194/acp-21-9977-2021, 2021
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Jing Wei, Zhanqing Li, Rachel T. Pinker, Jun Wang, Lin Sun, Wenhao Xue, Runze Li, and Maureen Cribb
Atmos. Chem. Phys., 21, 7863–7880, https://doi.org/10.5194/acp-21-7863-2021, https://doi.org/10.5194/acp-21-7863-2021, 2021
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Candice L. Sirmollo, Don R. Collins, Jordan M. McCormick, Cassandra F. Milan, Matthew H. Erickson, James H. Flynn, Rebecca J. Sheesley, Sascha Usenko, Henry W. Wallace, Alexander A. T. Bui, Robert J. Griffin, Matthew Tezak, Sean M. Kinahan, and Joshua L. Santarpia
Atmos. Meas. Tech., 14, 3351–3370, https://doi.org/10.5194/amt-14-3351-2021, https://doi.org/10.5194/amt-14-3351-2021, 2021
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Tianmeng Chen, Zhanqing Li, Ralph A. Kahn, Chuanfeng Zhao, Daniel Rosenfeld, Jianping Guo, Wenchao Han, and Dandan Chen
Atmos. Chem. Phys., 21, 6199–6220, https://doi.org/10.5194/acp-21-6199-2021, https://doi.org/10.5194/acp-21-6199-2021, 2021
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A convective cloud identification process is developed using geostationary satellite data from Himawari-8.
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Ningjin Xu and Don R. Collins
Atmos. Meas. Tech., 14, 2891–2906, https://doi.org/10.5194/amt-14-2891-2021, https://doi.org/10.5194/amt-14-2891-2021, 2021
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Yuwei Zhang, Jiwen Fan, Zhanqing Li, and Daniel Rosenfeld
Atmos. Chem. Phys., 21, 2363–2381, https://doi.org/10.5194/acp-21-2363-2021, https://doi.org/10.5194/acp-21-2363-2021, 2021
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Yuying Wang, Zhanqing Li, Qiuyan Wang, Xiaoai Jin, Peng Yan, Maureen Cribb, Yanan Li, Cheng Yuan, Hao Wu, Tong Wu, Rongmin Ren, and Zhaoxin Cai
Atmos. Chem. Phys., 21, 915–926, https://doi.org/10.5194/acp-21-915-2021, https://doi.org/10.5194/acp-21-915-2021, 2021
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The unexpected increase in surface ozone concentration was found along with the reduced anthropogenic emissions during the 2019 Chinese Spring Festival in Beijing. The enhanced atmospheric oxidation capacity could promote the formation of secondary aerosols, especially sulfate, which offset the decrease in PM2.5 mass concentration. This phenomenon was likely to exist throughout the entire Beijing–Tianjin–Hebei (BTH) region to be a contributing factor to the haze during the COVID-19 lockdown.
Johannes Quaas, Antti Arola, Brian Cairns, Matthew Christensen, Hartwig Deneke, Annica M. L. Ekman, Graham Feingold, Ann Fridlind, Edward Gryspeerdt, Otto Hasekamp, Zhanqing Li, Antti Lipponen, Po-Lun Ma, Johannes Mülmenstädt, Athanasios Nenes, Joyce E. Penner, Daniel Rosenfeld, Roland Schrödner, Kenneth Sinclair, Odran Sourdeval, Philip Stier, Matthias Tesche, Bastiaan van Diedenhoven, and Manfred Wendisch
Atmos. Chem. Phys., 20, 15079–15099, https://doi.org/10.5194/acp-20-15079-2020, https://doi.org/10.5194/acp-20-15079-2020, 2020
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Anthropogenic pollution particles – aerosols – serve as cloud condensation nuclei and thus increase cloud droplet concentration and the clouds' reflection of sunlight (a cooling effect on climate). This Twomey effect is poorly constrained by models and requires satellite data for better quantification. The review summarizes the challenges in properly doing so and outlines avenues for progress towards a better use of aerosol retrievals and better retrievals of droplet concentrations.
Sarah E. Benish, Hao He, Xinrong Ren, Sandra J. Roberts, Ross J. Salawitch, Zhanqing Li, Fei Wang, Yuying Wang, Fang Zhang, Min Shao, Sihua Lu, and Russell R. Dickerson
Atmos. Chem. Phys., 20, 14523–14545, https://doi.org/10.5194/acp-20-14523-2020, https://doi.org/10.5194/acp-20-14523-2020, 2020
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Airborne observations of ozone and related pollutants show smog was pervasive in spring 2016 over Hebei Province, China. We find high amounts of ozone precursors throughout and even above the PBL, continuing to generate ozone at high rates to be potentially transported downwind. Concentrations even in the rural areas of this highly industrialized province promote widespread ozone production, and we show that to improve air quality over Hebei both NOx and VOCs should be targeted.
Jiwen Fan, Yuwei Zhang, Zhanqing Li, Jiaxi Hu, and Daniel Rosenfeld
Atmos. Chem. Phys., 20, 14163–14182, https://doi.org/10.5194/acp-20-14163-2020, https://doi.org/10.5194/acp-20-14163-2020, 2020
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We investigate the urbanization-induced land and aerosol impacts on convective clouds and precipitation over Houston. We find that Houston urbanization notably enhances storm intensity and precipitation, with the anthropogenic aerosol effect more significant. Urban land effect strengthens sea-breeze circulation, leading to a faster development of warm cloud into mixed-phase cloud and earlier rain. The anthropogenic aerosol effect accelerates the development of storms into deep convection.
Pengguo Zhao, Zhanqing Li, Hui Xiao, Fang Wu, Youtong Zheng, Maureen C. Cribb, Xiaoai Jin, and Yunjun Zhou
Atmos. Chem. Phys., 20, 13379–13397, https://doi.org/10.5194/acp-20-13379-2020, https://doi.org/10.5194/acp-20-13379-2020, 2020
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We discussed the different aerosol effects on lightning in plateau and basin regions of Sichuan, southwestern China. In the plateau area, the aerosol concentration is low, and aerosols (via microphysical effects) inhibit the process of warm rain and stimulate convection and lightning activity. In the basin region, however, aerosols tend to show a significant radiative effect (reducing the solar radiation reaching the surface by absorbing and scattering) and inhibit the lightning.
Cited articles
Badger, C. L., George, I., Griffiths, P. T., Braban, C. F., Cox, R. A., and Abbatt, J. P. D.: Phase transitions and hygroscopic growth of aerosol particles containing humic acid and mixtures of humic acid and ammonium sulphate, Atmos. Chem. Phys., 6, 755–768, https://doi.org/10.5194/acp-6-755-2006, 2006.
Baklanov, A., Molina, L. T., and Gauss, M.: Megacities, air quality and
climate, Atmos. Environ., 126, 235–249,
https://doi.org/10.1016/j.atmosenv.2015.11.059, 2016.
Bidleman, T. F.: Atmospheric processes, Environ. Sci.
Technol., 22, 361–367, https://doi.org/10.1021/es00169a002, 1988.
Bi, X., Dai, S., Zhang, G., Qiu, N., Li, M., Wang, X., Chen, D., Peng, P.
a., Sheng, G., Fu, J., and Zhou, Z.: Real-time and single-particle
volatility of elemental carbon-containing particles in the urban area of
Pearl River Delta region, China, Atmos. Environ., 118, 194–202,
https://doi.org/10.1016/j.atmosenv.2015.08.012, 2015.
Brooks, B. J., Smith, M. H., Hill, M. K., and O'Dowd, C. D.:
Size-differentiated volatility analysis of internally mixed
laboratory-generated aerosol, J. Aerosol Sci., 33, 555–579,
https://doi.org/10.1016/S0021-8502(01)00192-6, 2002.
Cai, M., Tan, H., Chan, C. K., Mochida, M., Hatakeyama, S., Kondo, Y.,
Schurman, M. I., Xu, H., Li, F., Shimada, K., Li, L., Deng, Y., Yai, H.,
Matsuki, A., Qin, Y., and Zhao, J.: Comparison of Aerosol Hygroscopcity,
Volatility, and Chemical Composition between a Suburban Site in the Pearl
River Delta Region and a Marine Site in Okinawa, Aerosol Air Qual.
Res., 17, 3194–3208, https://doi.org/10.4209/aaqr.2017.01.0020, 2017.
Cappa, C. D. and Jimenez, J. L.: Quantitative estimates of the volatility of ambient organic aerosol, Atmos. Chem. Phys., 10, 5409–5424, https://doi.org/10.5194/acp-10-5409-2010, 2010.
Cappa, C. D., Onasch, T. B., Massoli, P., Worsnop, D. R., Bates, T. S.,
Cross, E. S., Davidovits, P., Hakala, J., Hayden, K. L., Jobson, B. T.,
Kolesar, K. R., Lack, D. A., Lerner, B. M., Li, S.-M., Mellon, D., Nuaaman,
I., Olfert, J. S., Petäjä, T., Quinn, P. K., Song, C., Subramanian,
R., Williams, E. J., and Zaveri, R. A.: Radiative Absorption Enhancements
Due to the Mixing State of Atmospheric Black Carbon, Science, 337, 1078, https://doi.org/10.1126/science.1223447, 2012.
Chen, L., Zhang, F., Yan, P., Wang, X.,
Sun, L., Li, Y., Zhang, X., Sun, Y., and Li, Z.: The large proportion of
black carbon (BC)-containing aerosols in the urban atmosphere, Environ.
Pollut., 263, 114507, https://doi.org/10.1016/j.envpol.2020.114507, 2020.
Chen, S.-C., Tsai, C.-J., Huang, C.-Y., Chen, H.-D., Chen, S.-J., Lin,
C.-C., Tsai, J.-H., Chou, C. C. K., Lung, S. C. C., Huang, W.-R., Roam,
G.-D., Wu, W.-Y., Smolik, J., and Dzumbova, L.: Chemical Mass Closure and
Chemical Characteristics of Ambient Ultrafine Particles and other PM
Fractions, Aerosol Sci. Tech., 44, 713–723, https://doi.org/10.1080/02786826.2010.486385, 2010.
Cheng, Y. F., Berghof, M., Garland, R. M., Wiedensohler, A., Wehner, B.,
Müller, T., Su, H., Zhang, Y. H., Achtert, P., Nowak, A., Pöschl,
U., Zhu, T., Hu, M., and Zeng, L. M.: Influence of soot mixing state on
aerosol light absorption and single scattering albedo during air mass aging
at a polluted regional site in northeastern China, J. Geophys. Res.-Atmos., 114, D00G10, https://doi.org/10.1029/2008jd010883, 2009.
Cheng, Y. F., Su, H., Rose, D., Gunthe, S. S., Berghof, M., Wehner, B., Achtert, P., Nowak, A., Takegawa, N., Kondo, Y., Shiraiwa, M., Gong, Y. G., Shao, M., Hu, M., Zhu, T., Zhang, Y. H., Carmichael, G. R., Wiedensohler, A., Andreae, M. O., and Pöschl, U.: Size-resolved measurement of the mixing state of soot in the megacity Beijing, China: diurnal cycle, aging and parameterization, Atmos. Chem. Phys., 12, 4477–4491, https://doi.org/10.5194/acp-12-4477-2012, 2012.
Cheung, H. H. Y., Tan, H., Xu, H., Li, F., Wu, C., Yu, J. Z., and Chan, C. K.: Measurements of non-volatile aerosols with a VTDMA and their correlations with carbonaceous aerosols in Guangzhou, China, Atmos. Chem. Phys., 16, 8431–8446, https://doi.org/10.5194/acp-16-8431-2016, 2016.
Dzubay, T. G., Stevens, R. K., Lewis, C. W., Hern, D. H., Courtney, W. J.,
Tesch, J. W., and Mason, M. A.: Visibility and aerosol composition in
Houston, Texas, Environ. Sci. Technol., 16, 514–525, https://doi.org/10.1021/es00102a017, 1982.
Ehn, M., Petäjä, T., Birmili, W., Junninen, H., Aalto, P., and Kulmala, M.: Non-volatile residuals of newly formed atmospheric particles in the boreal forest, Atmos. Chem. Phys., 7, 677–684, https://doi.org/10.5194/acp-7-677-2007, 2007.
Frey, A., Rose, D., Wehner, B., Müller, T., Cheng, Y., Wiedensohler, A.,
and Virkkula, A.: Application of the Volatility-TDMA Technique to Determine
the Number Size Distribution and Mass Concentration of Less Volatile
Particles, Aerosol Sci. Technol., 42, 817–828, https://doi.org/10.1080/02786820802339595, 2008.
Gao, Y., Liu, X., Zhao, C., and Zhang, M.: Emission controls versus meteorological conditions in determining aerosol concentrations in Beijing during the 2008 Olympic Games, Atmos. Chem. Phys., 11, 12437–12451, https://doi.org/10.5194/acp-11-12437-2011, 2011.
Glasius, M. and Goldstein, A. H.: Recent Discoveries and Future Challenges
in Atmospheric Organic Chemistry, Environ. Sci. Technol., 50, 2754–2764, https://doi.org/10.1021/acs.est.5b05105, 2016.
Grieshop, A. P., Lipsky, E. M., Pekney, N. J., Takahama, S., and Robinson,
A. L.: Fine particle emission factors from vehicles in a highway tunnel:
Effects of fleet composition and season, Atmos. Environ., 40,
287–298, https://doi.org/10.1016/j.atmosenv.2006.03.064, 2006.
Gysel, M., McFiggans, G. B., and Coe, H.: Inversion of tandem differential
mobility analyser (TDMA) measurements, J. Aerosol Sci., 40,
134–151, https://doi.org/10.1016/j.jaerosci.2008.07.013, 2009.
Hakala, J., Mikkilä, J., Hong, J., Ehn, M., and Petäjä, T.:
VH-TDMA: A description and verification of an instrument to measure aerosol
particle hygroscopicity and volatility, Aerosol Sci. Technol., 51,
97–107, https://doi.org/10.1080/02786826.2016.1255712, 2017.
Häkkinen, S. A. K., Äijälä, M., Lehtipalo, K., Junninen, H., Backman, J., Virkkula, A., Nieminen, T., Vestenius, M., Hakola, H., Ehn, M., Worsnop, D. R., Kulmala, M., Petäjä, T., and Riipinen, I.: Long-term volatility measurements of submicron atmospheric aerosol in Hyytiälä, Finland, Atmos. Chem. Phys., 12, 10771–10786, https://doi.org/10.5194/acp-12-10771-2012, 2012.
Huffman, J. A., Docherty, K. S., Aiken, A. C., Cubison, M. J., Ulbrich, I. M., DeCarlo, P. F., Sueper, D., Jayne, J. T., Worsnop, D. R., Ziemann, P. J., and Jimenez, J. L.: Chemically-resolved aerosol volatility measurements from two megacity field studies, Atmos. Chem. Phys., 9, 7161–7182, https://doi.org/10.5194/acp-9-7161-2009, 2009.
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.
Jiang, S., Ye, X., Wang, R., Tao, Y., Ma, Z., Yang, X., and Chen, J.:
Measurements of nonvolatile size distribution and its link to traffic soot
in urban Shanghai, Sci. Total Environ., 615, 452–461,
https://doi.org/10.1016/j.scitotenv.2017.09.176, 2018.
Kuhn, T., Krudysz, M., Zhu, Y., Fine, P. M., Hinds, W. C., Froines, J., and
Sioutas, C.: Volatility of indoor and outdoor ultrafine particulate matter
near a freeway, J. Aerosol Sci., 36, 291–302,
https://doi.org/10.1016/j.jaerosci.2004.09.006, 2005.
Lack, D. A. and Cappa, C. D.: Impact of brown and clear carbon on light absorption enhancement, single scatter albedo and absorption wavelength dependence of black carbon, Atmos. Chem. Phys., 10, 4207–4220, https://doi.org/10.5194/acp-10-4207-2010, 2010.
Levy, M. E., Zhang, R., Zheng, J., Tan, H., Wang, Y., Molina, L. T.,
Takahama, S., Russell, L. M., and Li, G.: Measurements of submicron aerosols
at the California–Mexico border during the Cal–Mex 2010 field campaign,
Atmos. Environ., 88, 308–319,
https://doi.org/10.1016/j.atmosenv.2013.08.062, 2014.
Liu, D., Joshi, R., Wang, J., Yu, C., Allan, J. D., Coe, H., Flynn, M. J., Xie, C., Lee, J., Squires, F., Kotthaus, S., Grimmond, S., Ge, X., Sun, Y., and Fu, P.: Contrasting physical properties of black carbon in urban Beijing between winter and summer, Atmos. Chem. Phys., 19, 6749–6769, https://doi.org/10.5194/acp-19-6749-2019, 2019.
Meyer, M. B., Patashnick, H., Ambs, J. L., and Rupprecht, E.: Development of
a sample equilibration system for the TEOM continuous PM monitor, J. Air Waste Manage., 50, 1345–1349, https://doi.org/10.1080/10473289.2000.10464180, 2000.
Moffet, R. C. and Prather, K. A.: In-situ measurements of the mixing state
and optical properties of soot with implications for radiative forcing
estimates, P. Natl. Acad. Sci. USA, 106, 11872, https://doi.org/10.1073/pnas.0900040106, 2009.
Nordmann, S., Cheng, Y. F., Carmichael, G. R., Yu, M., Denier van der Gon, H. A. C., Zhang, Q., Saide, P. E., Pöschl, U., Su, H., Birmili, W., and Wiedensohler, A.: Atmospheric black carbon and warming effects influenced by the source and absorption enhancement in central Europe, Atmos. Chem. Phys., 14, 12683–12699, https://doi.org/10.5194/acp-14-12683-2014, 2014.
Park, K., Kim, J.-S., and Miller, A. L.: A study on effects of size and
structure on hygroscopicity of nanoparticles using a tandem differential
mobility analyzer and TEM, J. Nanopart. Res., 11, 175–183, https://doi.org/10.1007/s11051-008-9462-4, 2009.
Philippin, S., Wiedensohler, A., and Stratmann, F.: Measurements of
non-volatile fractions of pollution aerosols with an eight-tube volatility
tandem differential mobility analyzer (VTDMA-8), J. Aerosol Sci.,
35, 185–203, https://doi.org/10.1016/j.jaerosci.2003.07.004, 2004.
Poulain, L., Birmili, W., Canonaco, F., Crippa, M., Wu, Z. J., Nordmann, S., Spindler, G., Prévôt, A. S. H., Wiedensohler, A., and Herrmann, H.: Chemical mass balance of 300 °C non-volatile particles at the tropospheric research site Melpitz, Germany, Atmos. Chem. Phys., 14, 10145–10162, https://doi.org/10.5194/acp-14-10145-2014, 2014.
Pöschl, U.: Atmospheric Aerosols: Composition, Transformation, Climate
and Health Effects, Angew. Chem. Int. Edit., 44, 7520–7540, https://doi.org/10.1002/anie.200501122, 2005.
Riipinen, I., Yli-Juuti, T., Pierce, J. R., Petäjä, T., Worsnop, D.
R., Kulmala, M., and Donahue, N. M.: The contribution of organics to
atmospheric nanoparticle growth, Nat. Geosci., 5, 453–458, https://doi.org/10.1038/ngeo1499, 2012.
Rose, D., Wehner, B., Ketzel, M., Engler, C., Voigtländer, J., Tuch, T., and Wiedensohler, A.: Atmospheric number size distributions of soot particles and estimation of emission factors, Atmos. Chem. Phys., 6, 1021–1031, https://doi.org/10.5194/acp-6-1021-2006, 2006.
Saha, P. K., Khlystov, A., and Grieshop, A. P.: Downwind evolution of the volatility and mixing state of near-road aerosols near a US interstate highway, Atmos. Chem. Phys., 18, 2139–2154, https://doi.org/10.5194/acp-18-2139-2018, 2018.
Sakurai, H., Park, K., McMurry, P. H., Zarling, D. D., Kittelson, D. B., and
Ziemann, P. J.: Size-Dependent Mixing Characteristics of Volatile and
Nonvolatile Components in Diesel Exhaust Aerosols, Environ. Sci.
Technol., 37, 5487–5495, https://doi.org/10.1021/es034362t, 2003.
Sakurai, H., Fink, M. A., McMurry, P. H., Mauldin, L., Moore, K. F., Smith,
J. N., and Eisele, F. L.: Hygroscopicity and volatility of 4–10 nm
particles during summertime atmospheric nucleation events in urban Atlanta,
J. Geophys. Res.-Atmos., 110, D22S04,
https://doi.org/10.1029/2005JD005918, 2005.
Sun, Y., Chen, C., Zhang, Y., Xu, W., Zhou, L., Cheng, X., Zheng, H., Ji,
D., Li, J., Tang, X., Fu, P., and Wang, Z.: Rapid formation and evolution of
an extreme haze episode in Northern China during winter 2015, Sci.
Rep., 6, 27151, https://doi.org/10.1038/srep27151, 2016a.
Sun, Y., Wang, Z., Wild, O., Xu, W., Chen, C., Fu, P., Du, W., Zhou, L.,
Zhang, Q., Han, T., Wang, Q., Pan, X., Zheng, H., Li, J., Guo, X., Liu, J.,
and Worsnop, D. R.: “APEC Blue”: Secondary Aerosol Reductions from
Emission Controls in Beijing, Sci. Rep., 6, 20668, https://doi.org/10.1038/srep20668, 2016b.
Tan, H., Xu, H., Wan, Q., Li, F., Deng, X., Chan, P. W., Xia, D., and Yin,
Y.: Design and Application of an Unattended Multifunctional H-TDMA System,
J. Atmos. Ocean. Tech., 30, 1136–1148, https://doi.org/10.1175/jtech-d-12-00129.1, 2013.
Villani, P., Picard, D., Marchand, N., and Laj, P.: Design and Validation
of a 6-Volatility Tandem Differential Mobility Analyzer (VTDMA), Aerosol
Sci. Tech., 41, 898–906, https://doi.org/10.1080/02786820701534593, 2007.
Wang, L., Liu, Z., Sun, Y., Ji, D., and Wang, Y.: Long-range transport and
regional sources of PM2.5 in Beijing based on long-term observations from
2005 to 2010, Atmos. Res., 157, 37–48,
https://doi.org/10.1016/j.atmosres.2014.12.003, 2015.
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, X., Shen, X. J., Sun, J. Y., Zhang, X. Y., Wang, Y. Q., Zhang, Y. M.,
Wang, P., Xia, C., Qi, X. F. and Zhong, J. T.: Size-resolved hygroscopic
behavior of atmospheric aerosols during heavy aerosol pollution episodes in
Beijing in December 2016, Atmos. Environ., 194, 188–197,
https://doi.org/10.1016/j.atmosenv.2018.09.041, 2018.
Wang, Y., Zhang, F., Li, Z., Tan, H., Xu, H., Ren, J., Zhao, J., Du, W., and Sun, Y.: Enhanced hydrophobicity and volatility of submicron aerosols under severe emission control conditions in Beijing, Atmos. Chem. Phys., 17, 5239–5251, https://doi.org/10.5194/acp-17-5239-2017, 2017.
Wang, Y. Q., Zhang, X. Y., and Draxler, R. R.: TrajStat: GIS-based software
that uses various trajectory statistical analysis methods to identify
potential sources from long-term air pollution measurement data,
Environ. Model. Softw., 24, 938–939,
https://doi.org/10.1016/j.envsoft.2009.01.004, 2009.
Wang, Z., Birmili, W., Hamed, A., Wehner, B., Spindler, G., Pei, X., Wu, Z.,
Cheng, Y., Su, H., and Wiedensohler, A.: Contributions of volatile and
nonvolatile compounds (at 300 ∘C) to condensational growth of
atmospheric nanoparticles: An assessment based on 8.5 years of observations
at the Central Europe background site Melpitz, J. Geophys.
Res.-Atmos., 122, 485–497, https://doi.org/10.1002/2016JD025581,
2017.
Wehner, B., Philippin, S., Wiedensohler, A., Scheer, V., and Vogt, R.:
Variability of non-volatile fractions of atmospheric aerosol particles with
traffic influence, Atmos. Environ., 38, 6081–6090,
https://doi.org/10.1016/j.atmosenv.2004.08.015, 2004.
Wehner, B., Berghof, M., Cheng, Y. F., Achtert, P., Birmili, W., Nowak, A.,
Wiedensohler, A., Garland, R. M., Pöschl, U., Hu, M., and Zhu, T.:
Mixing state of nonvolatile aerosol particle fractions and comparison with
light absorption in the polluted Beijing region, J. Geophys. Res.-Atmos., 122, 485–497, https://doi.org/10.1029/2008jd010923,
2009.
Wu, H., Li, Z., Li, H., Luo, K., Wang, Y., Yan, P., Hu, F., Zhang, F., Sun,
Y., Shang, D., Liang, C., Zhang, D., Wei, J., Wu, T., Jin, X., Fan, X.,
Cribb, M., Fischer, M. L., Kulmala, M., and Petäjä, T.: The impact
of the atmospheric turbulence-development tendency on new particle
formation: a common finding on three continents, Nat. Sci. Rev., 8, nwaa157, https://doi.org/10.1093/nsr/nwaa157, 2020.
Wu, Z. J., Ma, N., Größ, J., Kecorius, S., Lu, K. D., Shang, D. J.,
Wang, Y., Wu, Y. S., Zeng, L. M., Hu, M., Wiedensohler, A., and Zhang, Y.
H.: Thermodynamic properties of nanoparticles during new particle formation
events in the atmosphere of North China Plain, Atmos. Res., 188,
55–63, https://doi.org/10.1016/j.atmosres.2017.01.007, 2017.
Yeung, M. C., Lee, B. P., Li, Y. J., and Chan, C. K.: Simultaneous HTDMA and
HR-ToF-AMS measurements at the HKUST Supersite in Hong Kong in 2011, J.
Geophys. Res.-Atmos., 119, 9864–9883, https://doi.org/10.1002/2013JD021146,
2014.
Xu, L., Williams, L. R., Young, D. E., Allan, J. D., Coe, H., Massoli, P., Fortner, E., Chhabra, P., Herndon, S., Brooks, W. A., Jayne, J. T., Worsnop, D. R., Aiken, A. C., Liu, S., Gorkowski, K., Dubey, M. K., Fleming, Z. L., Visser, S., Prévôt, A. S. H., and Ng, N. L.: Wintertime aerosol chemical composition, volatility, and spatial variability in the greater London area, Atmos. Chem. Phys., 16, 1139–1160, https://doi.org/10.5194/acp-16-1139-2016, 2016.
Zhang, F., Wang, Y., Peng, J., Chen, L., Sun, Y., Duan, L., Ge, X., Li, Y.,
Zhao, J., Liu, C., Zhang, X., Zhang, G., Pan, Y., Wang, Y., Zhang, A. L.,
Ji, Y., Wang, G., Hu, M., Molina, M. J., and Zhang, R.: An unexpected
catalyst dominates formation and radiative forcing of regional haze,
P. Natl. Acad. Sci. USA, 117, 3960, https://doi.org/10.1073/pnas.1919343117, 2020.
Zhang, S. L., Ma, N., Kecorius, S., Wang, P. C., Hu, M., Wang, Z. B.,
Größ, J., Wu, Z. J., and Wiedensohler, A.: Mixing state of
atmospheric particles over the North China Plain, Atmos. Environ.,
125, 152–164, https://doi.org/10.1016/j.atmosenv.2015.10.053, 2016.
Zhang, Y., Zhang, Q., Cheng, Y., Su, H., Kecorius, S., Wang, Z., Wu, Z., Hu, M., Zhu, T., Wiedensohler, A., and He, K.: Measuring the morphology and density of internally mixed black carbon with SP2 and VTDMA: new insight into the absorption enhancement of black carbon in the atmosphere, Atmos. Meas. Tech., 9, 1833–1843, https://doi.org/10.5194/amt-9-1833-2016, 2016.
Zhang, Y., Su, H., Kecorius, S., Wang, Z., Hu, M., Zhu, T., He, K., Wiedensohler, A., Zhang, Q., and Cheng, Y.: Mixing State of Refractory Black Carbon of the North China Plain Regional Aerosol Combining a Single Particle Soot Photometer and a Volatility Tandem Differential Mobility Analyzer, Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2017-222, 2017.
Zhang, Y., Zhang, Q., Cheng, Y., Su, H., Li, H., Li, M., Zhang, X., Ding, A., and He, K.: Amplification of light absorption of black carbon associated with air pollution, Atmos. Chem. Phys., 18, 9879–9896, https://doi.org/10.5194/acp-18-9879-2018, 2018.
Short summary
Understanding the volatility and mixing state of atmospheric aerosols is important for elucidating their formation. Here, the size-resolved volatility of fine particles is characterized using field measurements. On average, the particles are more volatile in the summer. The retrieved mixing state shows that black carbon (BC)-containing particles dominate and contribute 67–77 % toward the total number concentration in the winter, while the non-BC particles accounted for 52–69 % in the summer.
Understanding the volatility and mixing state of atmospheric aerosols is important for...
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