Articles | Volume 23, issue 11
https://doi.org/10.5194/acp-23-6545-2023
https://doi.org/10.5194/acp-23-6545-2023
Research article
 | 
14 Jun 2023
Research article |  | 14 Jun 2023

Black carbon content of traffic emissions significantly impacts black carbon mass size distributions and mixing states

Fei Li, Biao Luo, Miaomiao Zhai, Li Liu, Gang Zhao, Hanbing Xu, Tao Deng, Xuejiao Deng, Haobo Tan, Ye Kuang, and Jun Zhao

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Cited articles

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Canonaco, F., Tobler, A., Chen, G., Sosedova, Y., Slowik, J. G., Bozzetti, C., Daellenbach, K. R., El Haddad, I., Crippa, M., Huang, R.-J., Furger, M., Baltensperger, U., and Prévôt, A. S. H.: A new method for long-term source apportionment with time-dependent factor profiles and uncertainty assessment using SoFi Pro: application to 1 year of organic aerosol data, Atmos. Meas. Tech., 14, 923–943, https://doi.org/10.5194/amt-14-923-2021, 2021. 
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Short summary
A field campaign was conducted to study black carbon (BC) mass size distributions and mixing states connected to traffic emissions using a system that combines a differential mobility analyzer and single-particle soot photometer. Results showed that the black carbon content of traffic emissions has a considerable influence on both BC mass size distributions and mixing states, which has crucial implications for accurately representing BC from various sources in regional and climate models.
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