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China’s process-related greenhouse gas emission dataset 1990–2020
China’s industrial process-related Greenhouse Gas (GHG) emissions are growing rapidly and are already equivalent to 13–19% of energy-related emissions in the past three decades. Previous studies mainly focused on emissions from fossil fuel combustion, however, there are a broad range of misconceptio...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9876993/ https://www.ncbi.nlm.nih.gov/pubmed/36697420 http://dx.doi.org/10.1038/s41597-023-01957-y |
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author | Yu, Xiang Tan, Chang |
author_facet | Yu, Xiang Tan, Chang |
author_sort | Yu, Xiang |
collection | PubMed |
description | China’s industrial process-related Greenhouse Gas (GHG) emissions are growing rapidly and are already equivalent to 13–19% of energy-related emissions in the past three decades. Previous studies mainly focused on emissions from fossil fuel combustion, however, there are a broad range of misconceptions regarding the trend and source of process-related emissions. To effectively implement emission reduction policies, it is necessary to compile an accurate accounting of process-related GHG emissions. However, the incompleteness in scope, unsuitable emission factor, and delay in updates in the current emission inventory have led to inaccurate emission estimates and inefficient mitigation actions. Following the methodology provided by Intergovernmental Panel on Climate Change (IPCC), we constructed a time series inventory of process-related GHG emissions for 15 industrial products from 1990–2020 in China. This emission inventory covers more than 90% of China’s process-related GHG emissions. In our study, emission factors were adjusted to refer to the industrial production process, technology, and raw material structure in China, which has led to increased accuracy of emission accounting. The dataset can help identify the sources of process-related GHG emissions in China and provide a data base for further policy implications. |
format | Online Article Text |
id | pubmed-9876993 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-98769932023-01-27 China’s process-related greenhouse gas emission dataset 1990–2020 Yu, Xiang Tan, Chang Sci Data Data Descriptor China’s industrial process-related Greenhouse Gas (GHG) emissions are growing rapidly and are already equivalent to 13–19% of energy-related emissions in the past three decades. Previous studies mainly focused on emissions from fossil fuel combustion, however, there are a broad range of misconceptions regarding the trend and source of process-related emissions. To effectively implement emission reduction policies, it is necessary to compile an accurate accounting of process-related GHG emissions. However, the incompleteness in scope, unsuitable emission factor, and delay in updates in the current emission inventory have led to inaccurate emission estimates and inefficient mitigation actions. Following the methodology provided by Intergovernmental Panel on Climate Change (IPCC), we constructed a time series inventory of process-related GHG emissions for 15 industrial products from 1990–2020 in China. This emission inventory covers more than 90% of China’s process-related GHG emissions. In our study, emission factors were adjusted to refer to the industrial production process, technology, and raw material structure in China, which has led to increased accuracy of emission accounting. The dataset can help identify the sources of process-related GHG emissions in China and provide a data base for further policy implications. Nature Publishing Group UK 2023-01-25 /pmc/articles/PMC9876993/ /pubmed/36697420 http://dx.doi.org/10.1038/s41597-023-01957-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Yu, Xiang Tan, Chang China’s process-related greenhouse gas emission dataset 1990–2020 |
title | China’s process-related greenhouse gas emission dataset 1990–2020 |
title_full | China’s process-related greenhouse gas emission dataset 1990–2020 |
title_fullStr | China’s process-related greenhouse gas emission dataset 1990–2020 |
title_full_unstemmed | China’s process-related greenhouse gas emission dataset 1990–2020 |
title_short | China’s process-related greenhouse gas emission dataset 1990–2020 |
title_sort | china’s process-related greenhouse gas emission dataset 1990–2020 |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9876993/ https://www.ncbi.nlm.nih.gov/pubmed/36697420 http://dx.doi.org/10.1038/s41597-023-01957-y |
work_keys_str_mv | AT yuxiang chinasprocessrelatedgreenhousegasemissiondataset19902020 AT tanchang chinasprocessrelatedgreenhousegasemissiondataset19902020 |