Articles | Volume 24, issue 11
https://doi.org/10.5194/acp-24-6593-2024
© Author(s) 2024. 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-24-6593-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
06 Jun 2024
Research article |
| 06 Jun 2024
| 06 Jun 2024
Long-term variability in black carbon emissions constrained by gap-filled absorption aerosol optical depth and associated premature mortality in China
Wenxin Zhao
State Key Laboratory of Pollution Control and Resource Reuse, School of Environment, Nanjing University, 163 Xianlin Rd., Nanjing, Jiangsu 210023, China
Yu Zhao
CORRESPONDING AUTHOR
State Key Laboratory of Pollution Control and Resource Reuse, School of Environment, Nanjing University, 163 Xianlin Rd., Nanjing, Jiangsu 210023, China
Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Information Science and Technology, Nanjing, Jiangsu 210044, China
Yu Zheng
Key Laboratory of Atmospheric Chemistry of CMA (LAC), Chinese Academy of Meteorological Sciences, Beijing 100081, China
Dong Chen
Jiangsu Provincial Academy of Environmental Science, 176 North Jiangdong Rd., Nanjing, Jiangsu 210036, China
Jinyuan Xin
LAPC, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
Kaitao Li
School of Information, Space Engineering University, Beijing 101416, China
Huizheng Che
Key Laboratory of Atmospheric Chemistry of CMA (LAC), Chinese Academy of Meteorological Sciences, Beijing 100081, China
Zhengqiang Li
State Environmental Protection Key Laboratory of Satellite Remote Sensing, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
Mingrui Ma
State Key Laboratory of Pollution Control and Resource Reuse, School of Environment, Nanjing University, 163 Xianlin Rd., Nanjing, Jiangsu 210023, China
Yun Hang
Gangarosa Department of Environment Health, Rollins School of Public Health, Emory University, 1518 Clifton Road NE, Atlanta, GA 30322, USA
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Cited
13 citations as recorded by crossref.
- Aerosol Black Carbon Emissions from Domestic Biomass Fuel Burning Installations E. Dzenajavičienė et al. https://doi.org/10.3390/en19092164
- Dust over Saudi Arabia from multisource data: case studies in winter and spring M. Assiri et al. https://doi.org/10.1007/s11869-024-01660-w
- Anthropogenic black carbon as short-lived climate pollutants: Critical advancements in global-regional monitoring, characterization, emission inventory, and impact analysis S. Abdillah et al. https://doi.org/10.1016/j.rser.2025.116284
- Spatial deep learning for PM2.5 estimation during extreme pollution events: Quantifying uncertainty and training with sparse datasets S. Wei et al. https://doi.org/10.1088/3049-4753/ae3c12
- Retrieval of satellite-derived black carbon concentration and mitigation approaches for Karnataka, India N. Kayet et al. https://doi.org/10.1016/j.atmosenv.2025.121591
- Insight into the Formation of Winter Black Carbon and Brown Carbon over Xi’an in Northwestern China D. Li et al. https://doi.org/10.3390/toxics14010093
- Revisiting black carbon emission estimates in the Third Pole: a hierarchical Bayesian synthesis inversion perspective C. Roychoudhury et al. https://doi.org/10.1088/2515-7620/ae4858
- Interpretation of particle number size distribution, ultrafine particles and black carbon concentrations in Istanbul Z. Çolak et al. https://doi.org/10.1016/j.envres.2025.123300
- Light absorbing carbon in atmospheric particulate matter in Lagos A. Odu-Onikosi et al. https://doi.org/10.1016/j.apr.2025.102875
- Health burdens related to emission sources and cross-provincial air pollution in China W. Hu et al. https://doi.org/10.1038/s41612-024-00869-x
- Efficient stacking ensemble machine learning for 1 km daily PM2.5 and PM10 mapping in Beijing-Tianjin-Hebei Y. Li et al. https://doi.org/10.1016/j.atmosenv.2026.121804
- Multi-Source Remote Sensing-Constrained Evaluation of CMAQ Aerosol Optical Depth over Major Urban Clusters in China Z. Peng et al. https://doi.org/10.3390/rs18081134
- The warming effect of black carbon must be reassessed in light of observational constraints G. Myhre et al. https://doi.org/10.1016/j.crsus.2025.100428
13 citations as recorded by crossref.
- Aerosol Black Carbon Emissions from Domestic Biomass Fuel Burning Installations E. Dzenajavičienė et al. https://doi.org/10.3390/en19092164
- Dust over Saudi Arabia from multisource data: case studies in winter and spring M. Assiri et al. https://doi.org/10.1007/s11869-024-01660-w
- Anthropogenic black carbon as short-lived climate pollutants: Critical advancements in global-regional monitoring, characterization, emission inventory, and impact analysis S. Abdillah et al. https://doi.org/10.1016/j.rser.2025.116284
- Spatial deep learning for PM2.5 estimation during extreme pollution events: Quantifying uncertainty and training with sparse datasets S. Wei et al. https://doi.org/10.1088/3049-4753/ae3c12
- Retrieval of satellite-derived black carbon concentration and mitigation approaches for Karnataka, India N. Kayet et al. https://doi.org/10.1016/j.atmosenv.2025.121591
- Insight into the Formation of Winter Black Carbon and Brown Carbon over Xi’an in Northwestern China D. Li et al. https://doi.org/10.3390/toxics14010093
- Revisiting black carbon emission estimates in the Third Pole: a hierarchical Bayesian synthesis inversion perspective C. Roychoudhury et al. https://doi.org/10.1088/2515-7620/ae4858
- Interpretation of particle number size distribution, ultrafine particles and black carbon concentrations in Istanbul Z. Çolak et al. https://doi.org/10.1016/j.envres.2025.123300
- Light absorbing carbon in atmospheric particulate matter in Lagos A. Odu-Onikosi et al. https://doi.org/10.1016/j.apr.2025.102875
- Health burdens related to emission sources and cross-provincial air pollution in China W. Hu et al. https://doi.org/10.1038/s41612-024-00869-x
- Efficient stacking ensemble machine learning for 1 km daily PM2.5 and PM10 mapping in Beijing-Tianjin-Hebei Y. Li et al. https://doi.org/10.1016/j.atmosenv.2026.121804
- Multi-Source Remote Sensing-Constrained Evaluation of CMAQ Aerosol Optical Depth over Major Urban Clusters in China Z. Peng et al. https://doi.org/10.3390/rs18081134
- The warming effect of black carbon must be reassessed in light of observational constraints G. Myhre et al. https://doi.org/10.1016/j.crsus.2025.100428
Saved (final revised paper)
Latest update: 09 Jun 2026
Short summary
We evaluate the long-term (2000–2020) variabilities of aerosol absorption optical depth, black carbon emissions, and associated health risks in China with an integrated framework that combines multiple observations and modeling techniques. We demonstrate the remarkable emission abatement resulting from the implementation of national pollution controls and show how human activities affected the emissions with a spatiotemporal heterogeneity, thus supporting differentiated policy-making by region.
We evaluate the long-term (2000–2020) variabilities of aerosol absorption optical depth, black...
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