Articles | Volume 21, issue 1
https://doi.org/10.5194/acp-21-147-2021
© 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-21-147-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
08 Jan 2021
Research article |
| 08 Jan 2021
| 08 Jan 2021
Direct measurements of black carbon fluxes in central Beijing using the eddy covariance method
Rutambhara Joshi
CORRESPONDING AUTHOR
School of Earth and Environmental Science, University of Manchester, Manchester, United Kingdom
Dantong Liu
School of Earth and Environmental Science, University of Manchester, Manchester, United Kingdom
now at: Department of Atmospheric Sciences, School of Earth
Sciences, Zhejiang University, Hangzhou, Zhejiang, 310027 China
Eiko Nemitz
UK Centre for Ecology and Hydrology, Penicuik, United Kingdom
Ben Langford
UK Centre for Ecology and Hydrology, Penicuik, United Kingdom
Neil Mullinger
UK Centre for Ecology and Hydrology, Penicuik, United Kingdom
Freya Squires
Department of Chemistry, University of York, York, United Kingdom
James Lee
Department of Chemistry, University of York, York, United Kingdom
National Centre for Atmospheric Science, University of York, York,
United Kingdom
Yunfei Wu
Institute of Atmospheric Science, Chinese Academy of Sciences,
Beijing, China
Xiaole Pan
Institute of Atmospheric Science, Chinese Academy of Sciences,
Beijing, China
Pingqing Fu
Institute of Atmospheric Science, Chinese Academy of Sciences,
Beijing, China
Simone Kotthaus
Department of Meteorology, University of Reading, Reading, United
Kingdom
now at: Institut Pierre Simon Laplace, École Polytechnique,
Palaiseau, France
Sue Grimmond
Department of Meteorology, University of Reading, Reading, United
Kingdom
Qiang Zhang
Ministry of Education Key Laboratory for Earth System Modelling,
Department of Earth System Science, Tsinghua University, Beijing, China
Ministry of Education Key Laboratory for Earth System Modelling,
Department of Earth System Science, Tsinghua University, Beijing, China
Oliver Wild
Lancaster Environment Centre, Lancaster University, Lancaster, UK
Michael Flynn
School of Earth and Environmental Science, University of Manchester, Manchester, United Kingdom
School of Earth and Environmental Science, University of Manchester, Manchester, United Kingdom
School of Earth and Environmental Science, University of Manchester, Manchester, United Kingdom
National Centre for Atmospheric Science, University of Manchester,
Manchester, United Kingdom
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Cited
7 citations as recorded by crossref.
- Quantifying black carbon emissions from traffic and construction in central London using eddy covariance Z. Cheng et al. 10.1039/D5EA00039D
- Dry Deposition of Atmospheric Aerosols: Approaches, Observations, and Mechanisms D. Farmer et al. 10.1146/annurev-physchem-090519-034936
- An intercomparison of weather normalization of PM2.5 concentration using traditional statistical methods, machine learning, and chemistry transport models H. Zheng et al. 10.1038/s41612-023-00536-7
- Tracing Atmospheric Anthropogenic Black Carbon and Its Potential Radiative Response Over Pan‐Third Pole Region: A Synoptic‐Scale Analysis Using WRF‐Chem M. Rai et al. 10.1029/2021JD035772
- Exploring Boundary Layer Physics and Atmospheric Chemistry in Megacities: Insights from the Beijing 325 m Meteorological Tower Y. Sun et al. 10.1007/s00376-024-4112-z
- Long‐Term Variation and Source Apportionment of Black Carbon at Mt. Waliguan, China M. Dai et al. 10.1029/2021JD035273
- Aerodynamic size-resolved composition and cloud condensation nuclei properties of aerosols in a Beijing suburban region C. Yu et al. 10.5194/acp-22-4375-2022
7 citations as recorded by crossref.
- Quantifying black carbon emissions from traffic and construction in central London using eddy covariance Z. Cheng et al. 10.1039/D5EA00039D
- Dry Deposition of Atmospheric Aerosols: Approaches, Observations, and Mechanisms D. Farmer et al. 10.1146/annurev-physchem-090519-034936
- An intercomparison of weather normalization of PM2.5 concentration using traditional statistical methods, machine learning, and chemistry transport models H. Zheng et al. 10.1038/s41612-023-00536-7
- Tracing Atmospheric Anthropogenic Black Carbon and Its Potential Radiative Response Over Pan‐Third Pole Region: A Synoptic‐Scale Analysis Using WRF‐Chem M. Rai et al. 10.1029/2021JD035772
- Exploring Boundary Layer Physics and Atmospheric Chemistry in Megacities: Insights from the Beijing 325 m Meteorological Tower Y. Sun et al. 10.1007/s00376-024-4112-z
- Long‐Term Variation and Source Apportionment of Black Carbon at Mt. Waliguan, China M. Dai et al. 10.1029/2021JD035273
- Aerodynamic size-resolved composition and cloud condensation nuclei properties of aerosols in a Beijing suburban region C. Yu et al. 10.5194/acp-22-4375-2022
Latest update: 29 Jul 2025
Short summary
Black carbon (BC) is a component of particulate matter which has significant effects on climate and human health. Sources of BC include biomass burning, transport, industry and domestic cooking and heating. In this study, we measured BC emissions in Beijing, finding a dominance of traffic emissions over all other sources. The quantitative method presented here has benefits for revising widely used emissions inventories and for understanding BC sources with impacts on air quality and climate.
Black carbon (BC) is a component of particulate matter which has significant effects on climate...
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