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Regression analysis and driving force model building of CO(2) emissions in China

In recent years, global warming has become increasingly devastating, leading to severe consequences, such as extreme weather events and sea-level rise. To reduce carbon dioxide emissions, it is essential to recognize different emission sources and key driving factors. Three main carbon emission sour...

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Detalles Bibliográficos
Autores principales: Zhou, Yi, Zhang, Jinyan, Hu, Shanying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7991645/
https://www.ncbi.nlm.nih.gov/pubmed/33762626
http://dx.doi.org/10.1038/s41598-021-86183-5
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author Zhou, Yi
Zhang, Jinyan
Hu, Shanying
author_facet Zhou, Yi
Zhang, Jinyan
Hu, Shanying
author_sort Zhou, Yi
collection PubMed
description In recent years, global warming has become increasingly devastating, leading to severe consequences, such as extreme weather events and sea-level rise. To reduce carbon dioxide emissions, it is essential to recognize different emission sources and key driving factors. Three main carbon emission sources from the period between 1990 and 2017 were identified in China: the energy industry, fuel combustion in other industries, and industrial process. For each source, a driving force model was developed via multiple linear regression. Based on these models, forecasts of the carbon intensity and total CO(2) emissions were obtained from 2018 to 2030. The results demonstrate that the CO(2) emission intensity and total emissions will continue to decrease but more effort will be required to achieve the goal of Paris Agreement.
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spelling pubmed-79916452021-03-26 Regression analysis and driving force model building of CO(2) emissions in China Zhou, Yi Zhang, Jinyan Hu, Shanying Sci Rep Article In recent years, global warming has become increasingly devastating, leading to severe consequences, such as extreme weather events and sea-level rise. To reduce carbon dioxide emissions, it is essential to recognize different emission sources and key driving factors. Three main carbon emission sources from the period between 1990 and 2017 were identified in China: the energy industry, fuel combustion in other industries, and industrial process. For each source, a driving force model was developed via multiple linear regression. Based on these models, forecasts of the carbon intensity and total CO(2) emissions were obtained from 2018 to 2030. The results demonstrate that the CO(2) emission intensity and total emissions will continue to decrease but more effort will be required to achieve the goal of Paris Agreement. Nature Publishing Group UK 2021-03-24 /pmc/articles/PMC7991645/ /pubmed/33762626 http://dx.doi.org/10.1038/s41598-021-86183-5 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Zhou, Yi
Zhang, Jinyan
Hu, Shanying
Regression analysis and driving force model building of CO(2) emissions in China
title Regression analysis and driving force model building of CO(2) emissions in China
title_full Regression analysis and driving force model building of CO(2) emissions in China
title_fullStr Regression analysis and driving force model building of CO(2) emissions in China
title_full_unstemmed Regression analysis and driving force model building of CO(2) emissions in China
title_short Regression analysis and driving force model building of CO(2) emissions in China
title_sort regression analysis and driving force model building of co(2) emissions in china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7991645/
https://www.ncbi.nlm.nih.gov/pubmed/33762626
http://dx.doi.org/10.1038/s41598-021-86183-5
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