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Measured Canadian oil sands CO(2) emissions are higher than estimates made using internationally recommended methods
The oil and gas (O&G) sector represents a large source of greenhouse gas (GHG) emissions globally. However, estimates of O&G emissions rely upon bottom-up approaches, and are rarely evaluated through atmospheric measurements. Here, we use aircraft measurements over the Canadian oil sands (OS...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6478833/ https://www.ncbi.nlm.nih.gov/pubmed/31015411 http://dx.doi.org/10.1038/s41467-019-09714-9 |
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author | Liggio, John Li, Shao-Meng Staebler, Ralf M. Hayden, Katherine Darlington, Andrea Mittermeier, Richard L. O’Brien, Jason McLaren, Robert Wolde, Mengistu Worthy, Doug Vogel, Felix |
author_facet | Liggio, John Li, Shao-Meng Staebler, Ralf M. Hayden, Katherine Darlington, Andrea Mittermeier, Richard L. O’Brien, Jason McLaren, Robert Wolde, Mengistu Worthy, Doug Vogel, Felix |
author_sort | Liggio, John |
collection | PubMed |
description | The oil and gas (O&G) sector represents a large source of greenhouse gas (GHG) emissions globally. However, estimates of O&G emissions rely upon bottom-up approaches, and are rarely evaluated through atmospheric measurements. Here, we use aircraft measurements over the Canadian oil sands (OS) to derive the first top-down, measurement-based determination of the their annual CO(2) emissions and intensities. The results indicate that CO(2) emission intensities for OS facilities are 13–123% larger than those estimated using publically available data. This leads to 64% higher annual GHG emissions from surface mining operations, and 30% higher overall OS GHG emissions (17 Mt) compared to that reported by industry, despite emissions reporting which uses the most up to date and recommended bottom-up approaches. Given the similarity in bottom-up reporting methods across the entire O&G sector, these results suggest that O&G CO(2) emissions inventory data may be more uncertain than previously considered. |
format | Online Article Text |
id | pubmed-6478833 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-64788332019-04-25 Measured Canadian oil sands CO(2) emissions are higher than estimates made using internationally recommended methods Liggio, John Li, Shao-Meng Staebler, Ralf M. Hayden, Katherine Darlington, Andrea Mittermeier, Richard L. O’Brien, Jason McLaren, Robert Wolde, Mengistu Worthy, Doug Vogel, Felix Nat Commun Article The oil and gas (O&G) sector represents a large source of greenhouse gas (GHG) emissions globally. However, estimates of O&G emissions rely upon bottom-up approaches, and are rarely evaluated through atmospheric measurements. Here, we use aircraft measurements over the Canadian oil sands (OS) to derive the first top-down, measurement-based determination of the their annual CO(2) emissions and intensities. The results indicate that CO(2) emission intensities for OS facilities are 13–123% larger than those estimated using publically available data. This leads to 64% higher annual GHG emissions from surface mining operations, and 30% higher overall OS GHG emissions (17 Mt) compared to that reported by industry, despite emissions reporting which uses the most up to date and recommended bottom-up approaches. Given the similarity in bottom-up reporting methods across the entire O&G sector, these results suggest that O&G CO(2) emissions inventory data may be more uncertain than previously considered. Nature Publishing Group UK 2019-04-23 /pmc/articles/PMC6478833/ /pubmed/31015411 http://dx.doi.org/10.1038/s41467-019-09714-9 Text en © Crown 2019, corrected publication 2022 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 | Article Liggio, John Li, Shao-Meng Staebler, Ralf M. Hayden, Katherine Darlington, Andrea Mittermeier, Richard L. O’Brien, Jason McLaren, Robert Wolde, Mengistu Worthy, Doug Vogel, Felix Measured Canadian oil sands CO(2) emissions are higher than estimates made using internationally recommended methods |
title | Measured Canadian oil sands CO(2) emissions are higher than estimates made using internationally recommended methods |
title_full | Measured Canadian oil sands CO(2) emissions are higher than estimates made using internationally recommended methods |
title_fullStr | Measured Canadian oil sands CO(2) emissions are higher than estimates made using internationally recommended methods |
title_full_unstemmed | Measured Canadian oil sands CO(2) emissions are higher than estimates made using internationally recommended methods |
title_short | Measured Canadian oil sands CO(2) emissions are higher than estimates made using internationally recommended methods |
title_sort | measured canadian oil sands co(2) emissions are higher than estimates made using internationally recommended methods |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6478833/ https://www.ncbi.nlm.nih.gov/pubmed/31015411 http://dx.doi.org/10.1038/s41467-019-09714-9 |
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