Articles | Volume 19, issue 14
https://doi.org/10.5194/acp-19-9663-2019
© Author(s) 2019. 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-19-9663-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
31 Jul 2019
Research article |
| 31 Jul 2019
| 31 Jul 2019
Modeling the aging process of black carbon during atmospheric transport using a new approach: a case study in Beijing
Yuxuan Zhang
Department of Earth System Science, Tsinghua University, Beijing
100084, China
Multiphase Chemistry Department, Max Planck Institute for Chemistry, 55128
Mainz, Germany
Multiphase Chemistry Department, Max Planck Institute for Chemistry, 55128
Mainz, Germany
Yafang Cheng
Multiphase Chemistry Department, Max Planck Institute for Chemistry, 55128
Mainz, Germany
Guannan Geng
Department of Environmental Health, Rollins School of Public Health,
Emory University, Atlanta, GA 30322, USA
Chaopeng Hong
Department of Earth System Science, University of California, Irvine,
CA 92697, USA
Haiyan Li
Department of Earth System Science, Tsinghua University, Beijing
100084, China
Department of Environmental Science and Engineering, Beijing
Technology and Business University, Beijing 100048, China
Dan Tong
Department of Earth System Science, University of California, Irvine,
CA 92697, USA
Nana Wu
Department of Earth System Science, Tsinghua University, Beijing
100084, China
Xin Zhang
Department of Earth System Science, Tsinghua University, Beijing
100084, China
Laboratoire des Sciences du Climate et de l'Environnement LSCE,
Batiment 706, Pte 25, Orme de Merisiers, 91191 Gif-sur-Yvette, France
Yixuan Zheng
Department of Global Ecology, Carnegie Institution for Science, CA
94305, USA
Yu Bo
CORRESPONDING AUTHOR
Department of Earth System Science, Tsinghua University, Beijing
100084, China
RCE-TEA, Institute of Atmospheric Physics, Chinese Academy of Science,
Beijing 100029, China
Multiphase Chemistry Department, Max Planck Institute for Chemistry, 55128
Mainz, Germany
Qiang Zhang
CORRESPONDING AUTHOR
Department of Earth System Science, Tsinghua University, Beijing
100084, China
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Cited
16 citations as recorded by crossref.
- The impact of atmospheric motions on source-specific black carbon and the induced direct radiative effects over a river-valley region H. Liu et al. 10.5194/acp-22-11739-2022
- Bayesian Proxy Modelling for Estimating Black Carbon Concentrations using White-Box and Black-Box Models M. Zaidan et al. 10.3390/app9224976
- Reduced light absorption of black carbon (BC) and its influence on BC-boundary-layer interactions during “APEC Blue” M. Gao et al. 10.5194/acp-21-11405-2021
- Particle Size and Mixing State of Freshly Emitted Black Carbon from Different Combustion Sources in China Y. Zhang et al. 10.1021/acs.est.9b07373
- Measurement report: quantifying source contribution of fossil fuels and biomass-burning black carbon aerosol in the southeastern margin of the Tibetan Plateau H. Liu et al. 10.5194/acp-21-973-2021
- Source apportionment of black carbon aerosols from light absorption observation and source-oriented modeling: an implication in a coastal city in China J. Deng et al. 10.5194/acp-20-14419-2020
- Impact of biomass burnings in Southeast Asia on air quality and pollutant transport during the end of the 2019 dry season H. Duc et al. 10.1007/s10661-021-09259-9
- Strong Haze‐Black Carbon‐Climate Connections Observed Across Northern and Eastern China Y. Zhang et al. 10.1029/2023JD038505
- Structural Collapse and Coating Composition Changes of Soot Particles During Long‐Range Transport J. Zhang et al. 10.1029/2023JD038871
- The vertical profiles of carbonaceous aerosols and key influencing factors during wintertime over western Sichuan Basin, China D. Yin et al. 10.1016/j.atmosenv.2020.117269
- Single particle diversity and mixing state of carbonaceous aerosols in Guangzhou, China C. Cheng et al. 10.1016/j.scitotenv.2020.142182
- Investigation of the wet removal rate of black carbon in East Asia: validation of a below- and in-cloud wet removal scheme in FLEXible PARTicle (FLEXPART) model v10.4 Y. Choi et al. 10.5194/acp-20-13655-2020
- Retrieval of refractive index and water content for the coating materials of aged black carbon aerosol based on optical properties: a theoretical analysis J. Liu et al. 10.5194/acp-24-12341-2024
- Evaluation of white-box versus black-box machine learning models in estimating ambient black carbon concentration P. Fung et al. 10.1016/j.jaerosci.2020.105694
- Numerical investigation on retrieval errors of mixing states of fractal black carbon aerosols using single-particle soot photometer based on Mie scattering and the effects on radiative forcing estimation J. Liu et al. 10.5194/amt-16-4961-2023
- Increased Fire Activity in Alaska Since the 1980s: Evidence From an Ice Core‐Derived Black Carbon Record M. Sierra‐Hernández et al. 10.1029/2021JD035668
16 citations as recorded by crossref.
- The impact of atmospheric motions on source-specific black carbon and the induced direct radiative effects over a river-valley region H. Liu et al. 10.5194/acp-22-11739-2022
- Bayesian Proxy Modelling for Estimating Black Carbon Concentrations using White-Box and Black-Box Models M. Zaidan et al. 10.3390/app9224976
- Reduced light absorption of black carbon (BC) and its influence on BC-boundary-layer interactions during “APEC Blue” M. Gao et al. 10.5194/acp-21-11405-2021
- Particle Size and Mixing State of Freshly Emitted Black Carbon from Different Combustion Sources in China Y. Zhang et al. 10.1021/acs.est.9b07373
- Measurement report: quantifying source contribution of fossil fuels and biomass-burning black carbon aerosol in the southeastern margin of the Tibetan Plateau H. Liu et al. 10.5194/acp-21-973-2021
- Source apportionment of black carbon aerosols from light absorption observation and source-oriented modeling: an implication in a coastal city in China J. Deng et al. 10.5194/acp-20-14419-2020
- Impact of biomass burnings in Southeast Asia on air quality and pollutant transport during the end of the 2019 dry season H. Duc et al. 10.1007/s10661-021-09259-9
- Strong Haze‐Black Carbon‐Climate Connections Observed Across Northern and Eastern China Y. Zhang et al. 10.1029/2023JD038505
- Structural Collapse and Coating Composition Changes of Soot Particles During Long‐Range Transport J. Zhang et al. 10.1029/2023JD038871
- The vertical profiles of carbonaceous aerosols and key influencing factors during wintertime over western Sichuan Basin, China D. Yin et al. 10.1016/j.atmosenv.2020.117269
- Single particle diversity and mixing state of carbonaceous aerosols in Guangzhou, China C. Cheng et al. 10.1016/j.scitotenv.2020.142182
- Investigation of the wet removal rate of black carbon in East Asia: validation of a below- and in-cloud wet removal scheme in FLEXible PARTicle (FLEXPART) model v10.4 Y. Choi et al. 10.5194/acp-20-13655-2020
- Retrieval of refractive index and water content for the coating materials of aged black carbon aerosol based on optical properties: a theoretical analysis J. Liu et al. 10.5194/acp-24-12341-2024
- Evaluation of white-box versus black-box machine learning models in estimating ambient black carbon concentration P. Fung et al. 10.1016/j.jaerosci.2020.105694
- Numerical investigation on retrieval errors of mixing states of fractal black carbon aerosols using single-particle soot photometer based on Mie scattering and the effects on radiative forcing estimation J. Liu et al. 10.5194/amt-16-4961-2023
- Increased Fire Activity in Alaska Since the 1980s: Evidence From an Ice Core‐Derived Black Carbon Record M. Sierra‐Hernández et al. 10.1029/2021JD035668
Latest update: 14 Dec 2024
Short summary
In this work, we developed a new approach to simulate BC mixing state based on an emissions inventory and back-trajectory analysis. The model tracks the evolution of BC aging degree during atmospheric transport. Our simulations identified the important roles of extensive emission regions in the BC aging process during atmospheric transport, which provided more clues for improving air pollution and climate change.
In this work, we developed a new approach to simulate BC mixing state based on an emissions...
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