Articles | Volume 17, issue 2
https://doi.org/10.5194/acp-17-1227-2017
https://doi.org/10.5194/acp-17-1227-2017
Research article
 | 
25 Jan 2017
Research article |  | 25 Jan 2017

Variations of China's emission estimates: response to uncertainties in energy statistics

Chaopeng Hong, Qiang Zhang, Kebin He, Dabo Guan, Meng Li, Fei Liu, and Bo Zheng

Related authors

Reduced-complexity air quality intervention modeling over China: the development of InMAPv1.6.1-China and a comparison with CMAQv5.2
Ruili Wu, Christopher W. Tessum, Yang Zhang, Chaopeng Hong, Yixuan Zheng, Xinyin Qin, Shigan Liu, and Qiang Zhang
Geosci. Model Dev., 14, 7621–7638, https://doi.org/10.5194/gmd-14-7621-2021,https://doi.org/10.5194/gmd-14-7621-2021, 2021
Short summary
Decadal changes in anthropogenic source contribution of PM2.5 pollution and related health impacts in China, 1990–2015
Jun Liu, Yixuan Zheng, Guannan Geng, Chaopeng Hong, Meng Li, Xin Li, Fei Liu, Dan Tong, Ruili Wu, Bo Zheng, Kebin He, and Qiang Zhang
Atmos. Chem. Phys., 20, 7783–7799, https://doi.org/10.5194/acp-20-7783-2020,https://doi.org/10.5194/acp-20-7783-2020, 2020
Short summary
Modeling the aging process of black carbon during atmospheric transport using a new approach: a case study in Beijing
Yuxuan Zhang, Meng Li, Yafang Cheng, Guannan Geng, Chaopeng Hong, Haiyan Li, Xin Li, Dan Tong, Nana Wu, Xin Zhang, Bo Zheng, Yixuan Zheng, Yu Bo, Hang Su, and Qiang Zhang
Atmos. Chem. Phys., 19, 9663–9680, https://doi.org/10.5194/acp-19-9663-2019,https://doi.org/10.5194/acp-19-9663-2019, 2019
Short summary
Persistent growth of anthropogenic non-methane volatile organic compound (NMVOC) emissions in China during 1990–2017: drivers, speciation and ozone formation potential
Meng Li, Qiang Zhang, Bo Zheng, Dan Tong, Yu Lei, Fei Liu, Chaopeng Hong, Sicong Kang, Liu Yan, Yuxuan Zhang, Yu Bo, Hang Su, Yafang Cheng, and Kebin He
Atmos. Chem. Phys., 19, 8897–8913, https://doi.org/10.5194/acp-19-8897-2019,https://doi.org/10.5194/acp-19-8897-2019, 2019
Short summary
Trends in China's anthropogenic emissions since 2010 as the consequence of clean air actions
Bo Zheng, Dan Tong, Meng Li, Fei Liu, Chaopeng Hong, Guannan Geng, Haiyan Li, Xin Li, Liqun Peng, Ji Qi, Liu Yan, Yuxuan Zhang, Hongyan Zhao, Yixuan Zheng, Kebin He, and Qiang Zhang
Atmos. Chem. Phys., 18, 14095–14111, https://doi.org/10.5194/acp-18-14095-2018,https://doi.org/10.5194/acp-18-14095-2018, 2018
Short summary

Related subject area

Subject: Gases | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Chemistry (chemical composition and reactions)
Changes in South American surface ozone trends: exploring the influences of precursors and extreme events
Rodrigo J. Seguel, Lucas Castillo, Charlie Opazo, Néstor Y. Rojas, Thiago Nogueira, María Cazorla, Mario Gavidia-Calderón, Laura Gallardo, René Garreaud, Tomás Carrasco-Escaff, and Yasin Elshorbany
Atmos. Chem. Phys., 24, 8225–8242, https://doi.org/10.5194/acp-24-8225-2024,https://doi.org/10.5194/acp-24-8225-2024, 2024
Short summary
Evaluating NOx stack plume emissions using a high-resolution atmospheric chemistry model and satellite-derived NO2 columns
Maarten Krol, Bart van Stratum, Isidora Anglou, and Klaas Folkert Boersma
Atmos. Chem. Phys., 24, 8243–8262, https://doi.org/10.5194/acp-24-8243-2024,https://doi.org/10.5194/acp-24-8243-2024, 2024
Short summary
NOx emissions in France in 2019–2021 as estimated by the high-spatial-resolution assimilation of TROPOMI NO2 observations
Robin Plauchu, Audrey Fortems-Cheiney, Grégoire Broquet, Isabelle Pison, Antoine Berchet, Elise Potier, Gaëlle Dufour, Adriana Coman, Dilek Savas, Guillaume Siour, and Henk Eskes
Atmos. Chem. Phys., 24, 8139–8163, https://doi.org/10.5194/acp-24-8139-2024,https://doi.org/10.5194/acp-24-8139-2024, 2024
Short summary
Aggravated surface O3 pollution primarily driven by meteorological variations in China during the 2020 COVID-19 pandemic lockdown period
Zhendong Lu, Jun Wang, Yi Wang, Daven K. Henze, Xi Chen, Tong Sha, and Kang Sun
Atmos. Chem. Phys., 24, 7793–7813, https://doi.org/10.5194/acp-24-7793-2024,https://doi.org/10.5194/acp-24-7793-2024, 2024
Short summary
Identifying decadal trends in deweathered concentrations of criteria air pollutants in Canadian urban atmospheres with machine learning approaches
Xiaohong Yao and Leiming Zhang
Atmos. Chem. Phys., 24, 7773–7791, https://doi.org/10.5194/acp-24-7773-2024,https://doi.org/10.5194/acp-24-7773-2024, 2024
Short summary

Cited articles

Aden, N.: Initial Assessment of NBS Energy Data Revisions, Ernest Orlando Lawrence Berkeley National Laboratory, China Energy Group, 2010.
Akimoto, H., Ohara, T., Kurokawa, J., and Horii, N.: Verification of energy consumption in China during 1996–2003 by using satellite observational data, Atmos. Environ., 40, 7663–7667, https://doi.org/10.1016/j.atmosenv.2006.07.052, 2006.
Berezin, E. V., Konovalov, I. B., Ciais, P., Richter, A., Tao, S., Janssens-Maenhout, G., Beekmann, M., and Schulze, E.-D.: Multiannual changes of CO2 emissions in China: indirect estimates derived from satellite measurements of tropospheric NO2 columns, Atmos. Chem. Phys., 13, 9415–9438, https://doi.org/10.5194/acp-13-9415-2013, 2013.
Guan, D. B., Liu, Z., Geng, Y., Lindner, S., and Hubacek, K.: The gigatonne gap in China's carbon dioxide inventories, Nat. Clim. Change, 2, 672–675, https://doi.org/10.1038/nclimate1560, 2012.
International Energy Agency (IEA): World Energy Statistics and Balances (2012 edition), IEA, Paris, 2012.
Download
Short summary
We found that the apparent uncertainties in China’s energy consumption increased from 2004 to 2012. SO2 emissions are most sensitive to energy uncertainties because of the high contributions from industrial coal combustion. The energy-induced emission uncertainties for some species are comparable to total uncertainties of emissions as estimated by previous studies, indicating variations in energy consumption could be an important source of China’s emission uncertainties.
Altmetrics
Final-revised paper
Preprint