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Source Attribution

This category encompasses research aimed at identifying the relative contribution of different sectors, activities, and entities to global climate change. It includes research on the respective contributions of national governments and private corporations to increases in global greenhouse gas concentrations (through both emissions and land use changes). It also includes research on the respective obligations of different entities to mitigate their contributions to climate change.

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Attribution of production-stage methane emissions to assess spatial variability in the climate intensity of US natural gas consumption

April 2021
Diana Burns, Emily Grubert
Institute of Physics
This article presents first-order estimates of the production-stage methane emissions intensity of natural gas consumed in the United States. Read More →

(Micro)plastic crisis: Un-ignorable contribution to global greenhouse gas emissions and climate change

March 2021
Maocai Shen, Wei Huang, Ming Chen, Biao Song, Guangming Zeng, Yaxin Zhang
Elsevier
An assessment of the plastic industry's contribution to greenhouse gas emissions.Read More →

Greenhouse gases (CO2 and CH4) at an urban background site in Athens, Greece: Levels, sources and impact of atmospheric circulation

March 2021
K. Dimitriou, A. Bougiatioti, M. Ramonet, F. Pierros, P. Michalopoulos, E. Liakakou, S. Solomos, P.-Y. Quehe, M. Delmotte, E. Gerasopoulos, M. Kanakidou, N. Mihalopoulos
Elsevier
Year-round carbon dioxide and methane concentration measurements, performed for the first time in the city of Athens, Greece from December 21, 2018 to December 31, 2019, are presented in this study and analyzed in relation to atmospheric circulation.Read More →

Food systems are responsible for a third of global anthropogenic GHG emissions

March 2021
M. Crippa, E. Solazzo, D. Guizzardi, F. Monforti-Ferrario, F. N. Tubiello, A. Leip
Nature
In 2015, food-system emissions amounted to 18 Gt CO2 equivalent per year globally, representing 34% of total GHG emissions. Read More →

Spatiotemporal patterns of industrial carbon emissions at the city level

February 2021
Lei Chena, Linyu Xu, Yanpeng Cai, Zhifeng Yang
Elsevier
This study aimed to measure the industrial carbon emissions by energy consumption and the cement production process in Guangdong from 2005–2015.Read More →

Nonlinear influence of urbanization on China’s urban residential building carbon emissions: New evidence from panel threshold model

February 2021
Tengfei Huo, Ruijiao Cao, Hongyan Du, Jing Zhang, Weiguang Cai, Bingsheng Liu
Elsevier
This study explores the dynamic influence mechanism of the urbanization on urban residential building CO2 emissions.Read More →

Assessment of pre-industrial to present-day anthropogenic climate forcing in UKESM1

January 2021
O'Connor, F. M., Abraham, N. L., Dalvi, M., Folberth, G. A., Griffiths, P. T., Hardacre, C., Johnson, B. T., Kahana, R., Keeble, J., Kim, B., Morgenstern, O., Mulcahy, J. P., Richardson, M., Robertson, E., Seo, J., Shim, S., Teixeira, J. C., Turnock, S. T., Williams, J., Wiltshire, A. J., Woodward, S., and Zeng, G
European Geosciences Union
The authors quantify and analyse a wide range of present-day anthropogenic effective radiative forcings with the UK's Earth System Model, UKESM1.Read More →

Study on the Quantitative Evaluation of Greenhouse Gas (GHG) Emissions in Sewage-Sludge Treatment System

November 2020
Zhiyi Liang, Toru Matsumoto, Lei Zhang, Bing Liu
Springer
This study contains estimates of greenhouse gas emissions from sewage-sludge treatment considering CO2 emissions from sewage treatment and N2O emissions from sludge treatment.Read More →

The global scale, distribution and growth of aviation: Implications for climate change

November 2020
Stefan Gössling, Andreas Humpe
Science Direct
This study discusses the scale, distribution and growth of aviation until 2018, also with a view to consider the climate change implications of a return to volume growthRead More →

COLE – Carbon Online Estimator

October 2020
United States Department of Agriculture
COLE is a program that draws from US Forest Service FIA Data and allows users to generate estimates for forest carbon inventory and carbon growth-and-yield curves within a user-defined region of the continental United States or Alaska. Read More →

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