The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
Rapid aerosol particle growth and increase of cloud condensation nucleus activity by secondary aerosol formation and condensation: A case study for regional air pollution in northeastern China
Open accessAbstract
This study was part of the international field measurement Campaigns of Air Quality Research in Beijing and Surrounding Region 2006 (CAREBeijing‐2006). We investigated a new particle formation event in a highly polluted air mass at a regional site south of the megacity Beijing and its impact on the abundance and properties of cloud condensation nuclei (CCN). During the 1‐month observation, particle nucleation followed by significant particle growth on a regional scale was observed frequently (∼30%), and we chose 23 August 2006 as a representative case study. Secondary aerosol mass was produced continuously, with sulfate, ammonium, and organics as major components. The aerosol mass growth rate was on average 19 μ g m−3 h−1 during the late hours of the day. This growth rate was observed several times during the 1‐month intensive measurements. The nucleation mode grew very quickly into the size range of CCN, and the CCN size distribution was dominated by the growing nucleation mode (up to 80% of the total CCN number concentration) and not as usual by the accumulation mode. At water vapor supersaturations of 0.07–0.86%, the CCN number concentrations reached maximum values of 4000–19,000 cm−3 only 6–14 h after the nucleation event. During particle formation and growth, the effective hygroscopicity parameter κ increased from about 0.1–0.3 to 0.35–0.5 for particles with diameters of 40–90 nm, but it remained nearly constant at ∼0.45 for particles with diameters of ∼190 nm. This result is consistent with aerosol chemical composition data, showing a pronounced increase of sulfate.
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Cites
A single parameter representation of hygroscopic growth and cloud condensation nucleus activity
Petters, M. D., & Kreidenweis, S. M. (2007) · Atmospheric Chemistry and Physics · doi:10.5194/acp-7-1961-2007 · Cited by 2,665
Climate Effects of Black Carbon Aerosols in China and India
Menon, S., Hansen, J., Nazarenko, L., & Luo, Y. (2002) · Science · doi:10.1126/science.1075159 · Cited by 2,124
Turpin, B. J., & Lim, H.-J. (2001) · Aerosol Science and Technology · doi:10.1080/02786820119445 · Cited by 2,036
Aerosol–cloud–precipitation interactions. Part 1. The nature and sources of cloud-active aerosols
Andreae, M. O., & Rosenfeld, D. (2008) · Earth-Science Reviews · doi:10.1016/j.earscirev.2008.03.001 · Cited by 1,660
Development of an Aerosol Mass Spectrometer for Size and Composition Analysis of Submicron Particles
Jayne, J. T., Leard, D. C., Zhang, X., Davidovits, P., Smith, K. A., Kolb, C. E., & Worsnop, D. R. (2000) · Aerosol Science and Technology · doi:10.1080/027868200410840 · Cited by 1,604
Aerosol measurement: Principles, techniques, and applications
Gutfinger, C. (1996) · International Journal of Multiphase Flow · doi:10.1016/0301-9322(96)00006-7 · Cited by 887
A Continuous-Flow Streamwise Thermal-Gradient CCN Chamber for Atmospheric Measurements
Roberts, G. C., & Nenes, A. (2005) · Aerosol Science and Technology · doi:10.1080/027868290913988 · Cited by 840
Rose, D., Gunthe, S. S., Mikhailov, E., Frank, G. P., Dusek, U., Andreae, M. O., & Pöschl, U. (2008) · Atmospheric Chemistry and Physics · doi:10.5194/acp-8-1153-2008 · Cited by 534
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Streets, D. G., Fu, J. S., Jang, C. J., et al. (2006) · Atmospheric Environment · doi:10.1016/j.atmosenv.2006.08.046 · Cited by 510
Andreae, M. O. (2009) · Atmospheric Chemistry and Physics · doi:10.5194/acp-9-543-2009 · Cited by 340
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Self-citationAnimals and the zoogeochemistry of the carbon cycle
Schmitz, O. J., Wilmers, C. C., Leroux, S. J., Doughty, C. E., Atwood, T. B., Galetti, M., Davies, A. B., & Goetz, S. J. (2018) · Science · doi:10.1126/science.aar3213 · Cited by 372
Particulate matter pollution over China and the effects of control policies
Wang, J., Zhao, B., Wang, S., Yang, F., Xing, J., Morawska, L., Ding, A., Kulmala, M., Kerminen, V.-M., Kujansuu, J., et al. (2017) · Science of The Total Environment · doi:10.1016/j.scitotenv.2017.01.027 · Cited by 355
Metadata
- Authors
- Wiedensohler, A., Cheng, Y. F., Nowak, A., Wehner, B., Achtert, P., Berghof, M., Birmili, W., Wu, Z. J., Hu, M., Zhu, T., Takegawa, N., Kita, K., Kondo, Y., Lou, S. R., Hofzumahaus, A., Holland, F., Wahner, A., Gunthe, S. S., Rose, D., Su, H., & Pöschl, U.
- Venue
- Journal of Geophysical Research: Atmospheres
- Publisher
- American Geophysical Union (AGU)
- Published
- 2009-01-27
- Volume
- 114
- Issue
- D2
- ISSN
- 0148-0227 (ISSN-L)
- OpenAlex
- W2007841777
- Cited by
- 398
- References
- 27
- FWCI
- 13.59
- Type
- journal article
- Language
- en
- Open access
- green
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- The paper
- Wiedensohler, A., Cheng, Y. F., Nowak, A., Wehner, B., Achtert, P., Berghof, M., Birmili, W., Wu, Z. J., Hu, M., Zhu, T., Takegawa, N., Kita, K., Kondo, Y., Lou, S. R., Hofzumahaus, A., Holland, F., Wahner, A., Gunthe, S. S., Rose, D., . . . Pöschl, U. (2009). Rapid aerosol particle growth and increase of cloud condensation nucleus activity by secondary aerosol formation and condensation: A case study for regional air pollution in northeastern China. Journal of Geophysical Research: Atmospheres. https://doi.org/10.1029/2008jd010884
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
