Articles | Volume 21, issue 13
https://doi.org/10.5194/acp-21-10015-2021
© 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-21-10015-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Anthropogenic and natural controls on atmospheric δ13C-CO2 variations in the Yangtze River delta: insights from a carbon isotope modeling framework
Cheng Hu
CORRESPONDING AUTHOR
College of Biology and the Environment, Joint Center for sustainable
Forestry in Southern China, Nanjing Forestry University, Nanjing, 210037,
China
Yale-NUIST Center on Atmospheric Environment, International Joint
Laboratory on Climate and Environment Change (ILCEC), Nanjing University of
Information Science and Technology, Nanjing, 210044, China
Jiaping Xu
Jiangsu Climate Center, China Meteorological Administration,
Nanjing, 210009, China
Cheng Liu
Jiangxi Province Key Laboratory of the Causes and Control of
Atmospheric Pollution, East China University of Technology, Nanchang,
330013, China
Yan Chen
Jiangsu Climate Center, China Meteorological Administration,
Nanjing, 210009, China
Dong Yang
Ningbo Meteorological Observatory, Ningbo, 315012, China
Wenjing Huang
Yale-NUIST Center on Atmospheric Environment, International Joint
Laboratory on Climate and Environment Change (ILCEC), Nanjing University of
Information Science and Technology, Nanjing, 210044, China
Lichen Deng
Ecological Meteorology Center, Jiangxi Meteorological Bureau,
Nanchang, 330096, China
Shoudong Liu
Yale-NUIST Center on Atmospheric Environment, International Joint
Laboratory on Climate and Environment Change (ILCEC), Nanjing University of
Information Science and Technology, Nanjing, 210044, China
Timothy J. Griffis
CORRESPONDING AUTHOR
Department of Soil, Water, and Climate, University of
Minnesota-Twin Cities, St. Paul, Minnesota, USA
Xuhui Lee
School of Forestry and Environmental Studies, Yale University, New
Haven, Connecticut, USA
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Cited
8 citations as recorded by crossref.
- Estimation of Anthropogenic CH4 and CO2 Emissions in Taiyuan‐Jinzhong Region: One of the World's Largest Emission Hotspots C. Hu et al. 10.1029/2022JD037915
- Tracing CO2 emission characteristics in Central China based on the simultaneous measurements of atmospheric CO2, CO and δ13C L. Xia et al. 10.1016/j.jes.2024.09.024
- Feedback Mechanisms Between Atmospheric and Oceanic Factors on Atmospheric CO2 Concentration Over Tropical Coastal Waters M. Sigid et al. 10.1007/s41748-024-00448-3
- Anthropogenic CO2 emission reduction during the COVID-19 pandemic in Nanchang City, China C. Hu et al. 10.1016/j.envpol.2022.119767
- 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 C. Hu et al. 10.5194/acp-23-4501-2023
- Improvements of Simulating Urban Atmospheric CO2 Concentration by Coupling with Emission Height and Dynamic Boundary Layer Variations in WRF-STILT Model Y. Peng et al. 10.3390/atmos14020223
- Temporal dynamics and controlling factors of CO2 and CH4 variability in the urban atmosphere of Wroclaw, Poland Y. Bezyk et al. 10.1016/j.scitotenv.2023.164771
- Anthropogenic CO <sub>2</sub> Emission Reduction During the COVID-19 Pandemic: Evidence from Three Years of Urban Atmospheric Observations in Eastern China C. Hu et al. 10.2139/ssrn.3978864
8 citations as recorded by crossref.
- Estimation of Anthropogenic CH4 and CO2 Emissions in Taiyuan‐Jinzhong Region: One of the World's Largest Emission Hotspots C. Hu et al. 10.1029/2022JD037915
- Tracing CO2 emission characteristics in Central China based on the simultaneous measurements of atmospheric CO2, CO and δ13C L. Xia et al. 10.1016/j.jes.2024.09.024
- Feedback Mechanisms Between Atmospheric and Oceanic Factors on Atmospheric CO2 Concentration Over Tropical Coastal Waters M. Sigid et al. 10.1007/s41748-024-00448-3
- Anthropogenic CO2 emission reduction during the COVID-19 pandemic in Nanchang City, China C. Hu et al. 10.1016/j.envpol.2022.119767
- 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 C. Hu et al. 10.5194/acp-23-4501-2023
- Improvements of Simulating Urban Atmospheric CO2 Concentration by Coupling with Emission Height and Dynamic Boundary Layer Variations in WRF-STILT Model Y. Peng et al. 10.3390/atmos14020223
- Temporal dynamics and controlling factors of CO2 and CH4 variability in the urban atmosphere of Wroclaw, Poland Y. Bezyk et al. 10.1016/j.scitotenv.2023.164771
- Anthropogenic CO <sub>2</sub> Emission Reduction During the COVID-19 Pandemic: Evidence from Three Years of Urban Atmospheric Observations in Eastern China C. Hu et al. 10.2139/ssrn.3978864
Latest update: 22 Nov 2024
Short summary
Seventy percent of global CO2 emissions were emitted from urban landscapes. The Yangtze River delta (YRD) ranks as one of the most densely populated regions in the world and is an anthropogenic CO2 hotspot. Besides anthropogenic factors, natural ecosystems and croplands act as significant CO2 sinks and sources. Independent quantification of the fossil and cement CO2 emission and assessment of their impact on atmospheric δ13C-CO2 have potential to improve our understanding of urban CO2 cycling.
Seventy percent of global CO2 emissions were emitted from urban landscapes. The Yangtze River...
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