Articles | Volume 23, issue 7
https://doi.org/10.5194/acp-23-4501-2023
© Author(s) 2023. 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-23-4501-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Global warming will largely increase waste treatment CH4 emissions in Chinese megacities: insight from the first city-scale CH4 concentration observation network in Hangzhou, China
College of Biology and the Environment, Joint Center for Sustainable
Forestry in Southern China, Nanjing Forestry University, Nanjing 210037,
China
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters (CIC-FEMD), Nanjing University of Information
Science & Technology, Nanjing 210044, China
Junqing Zhang
College of Biology and the Environment, Joint Center for Sustainable
Forestry in Southern China, Nanjing Forestry University, Nanjing 210037,
China
Hangzhou Meteorological Bureau, Hangzhou 310051, China
Zhejiang Lin'an Atmospheric Background National Observation and
Research Station, Hangzhou 311300, China
Rongguang Du
CORRESPONDING AUTHOR
Hangzhou Meteorological Bureau, Hangzhou 310051, China
Xiaofei Xu
Zhejiang Lin'an Atmospheric Background National Observation and
Research Station, Hangzhou 311300, China
Haoyu Xiong
Zhejiang Innovative Institute of Carbon Neutrality, Zhejiang University of Technology, Hangzhou 310014, China
Huili Liu
College of Biology and the Environment, Joint Center for Sustainable
Forestry in Southern China, Nanjing Forestry University, Nanjing 210037,
China
Xinyue Ai
College of Biology and the Environment, Joint Center for Sustainable
Forestry in Southern China, Nanjing Forestry University, Nanjing 210037,
China
Yiyi Peng
College of Biology and the Environment, Joint Center for Sustainable
Forestry in Southern China, Nanjing Forestry University, Nanjing 210037,
China
Wei Xiao
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters (CIC-FEMD), Nanjing University of Information
Science & Technology, Nanjing 210044, China
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Cited
9 citations as recorded by crossref.
- Observed CO2 concentration reveals steep decrease of anthropogenic emissions in winters of 2021 and 2022 in Hangzhou and Yangtze River Delta region, China C. Hu et al. 10.1016/j.scitotenv.2025.178884
- Implementation of a satellite-based tool for the quantification of CH4 emissions over Europe (AUMIA v1.0) – Part 1: forward modelling evaluation against near-surface and satellite data A. Vara-Vela et al. 10.5194/gmd-16-6413-2023
- Multiple-model based simulation of urban atmospheric methane concentration and the attributions to its seasonal variations: A case study in Hangzhou megacity, China J. Zhang et al. 10.1016/j.envpol.2024.124781
- Using urban-suburban difference of atmospheric CO2 to evaluate carbon neutrality capacity in Hangzhou, China B. Qi et al. 10.1016/j.jes.2024.10.027
- Towards verifying and improving estimations of China's CO2 and CH4 budgets using atmospheric inversions Y. Wang et al. 10.1093/nsr/nwaf090
- A WRF-Chem study of the greenhouse gas column and in situ surface concentrations observed in Xianghe, China – Part 1: Methane (CH4) S. Callewaert et al. 10.5194/acp-25-9519-2025
- Screening and Functional Prediction of Rumen Microbiota Associated with Methane Emissions in Dairy Cows J. Bao et al. 10.3390/ani14223195
- Evaluation of methane emission from MSW landfills in China, India, and the U.S. from space using a two-tier approach S. Zhang et al. 10.1016/j.jenvman.2025.124705
- A Review of City-Scale Methane Flux Inversion Based on Top-Down Methods X. Li et al. 10.3390/rs17183152
9 citations as recorded by crossref.
- Observed CO2 concentration reveals steep decrease of anthropogenic emissions in winters of 2021 and 2022 in Hangzhou and Yangtze River Delta region, China C. Hu et al. 10.1016/j.scitotenv.2025.178884
- Implementation of a satellite-based tool for the quantification of CH4 emissions over Europe (AUMIA v1.0) – Part 1: forward modelling evaluation against near-surface and satellite data A. Vara-Vela et al. 10.5194/gmd-16-6413-2023
- Multiple-model based simulation of urban atmospheric methane concentration and the attributions to its seasonal variations: A case study in Hangzhou megacity, China J. Zhang et al. 10.1016/j.envpol.2024.124781
- Using urban-suburban difference of atmospheric CO2 to evaluate carbon neutrality capacity in Hangzhou, China B. Qi et al. 10.1016/j.jes.2024.10.027
- Towards verifying and improving estimations of China's CO2 and CH4 budgets using atmospheric inversions Y. Wang et al. 10.1093/nsr/nwaf090
- A WRF-Chem study of the greenhouse gas column and in situ surface concentrations observed in Xianghe, China – Part 1: Methane (CH4) S. Callewaert et al. 10.5194/acp-25-9519-2025
- Screening and Functional Prediction of Rumen Microbiota Associated with Methane Emissions in Dairy Cows J. Bao et al. 10.3390/ani14223195
- Evaluation of methane emission from MSW landfills in China, India, and the U.S. from space using a two-tier approach S. Zhang et al. 10.1016/j.jenvman.2025.124705
- A Review of City-Scale Methane Flux Inversion Based on Top-Down Methods X. Li et al. 10.3390/rs17183152
Latest update: 14 Sep 2025
Short summary
We build the first city-scale tower-based atmospheric CH4 concentration observation network in China. The a priori total annual anthropogenic CH4 emissions and emissions from waste treatment were overestimated by 36.0 % and 47.1 %, respectively, in Hangzhou. Global warming will largely enhance the CH4 emission factor of waste treatment, which will increase by 17.6 %, 9.6 %, 5.6 % and 4.0 % for Representative Concentration Pathway (RCP) 8.5, RCP6.0, RCP4.5 and RCP2.6, respectively, by 2100.
We build the first city-scale tower-based atmospheric CH4 concentration observation network in...
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