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Source sector and fuel contributions to ambient PM(2.5) and attributable mortality across multiple spatial scales
Ambient fine particulate matter (PM(2.5)) is the world’s leading environmental health risk factor. Reducing the PM(2.5) disease burden requires specific strategies that target dominant sources across multiple spatial scales. We provide a contemporary and comprehensive evaluation of sector- and fuel-...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8203641/ https://www.ncbi.nlm.nih.gov/pubmed/34127654 http://dx.doi.org/10.1038/s41467-021-23853-y |
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author | McDuffie, Erin E. Martin, Randall V. Spadaro, Joseph V. Burnett, Richard Smith, Steven J. O’Rourke, Patrick Hammer, Melanie S. van Donkelaar, Aaron Bindle, Liam Shah, Viral Jaeglé, Lyatt Luo, Gan Yu, Fangqun Adeniran, Jamiu A. Lin, Jintai Brauer, Michael |
author_facet | McDuffie, Erin E. Martin, Randall V. Spadaro, Joseph V. Burnett, Richard Smith, Steven J. O’Rourke, Patrick Hammer, Melanie S. van Donkelaar, Aaron Bindle, Liam Shah, Viral Jaeglé, Lyatt Luo, Gan Yu, Fangqun Adeniran, Jamiu A. Lin, Jintai Brauer, Michael |
author_sort | McDuffie, Erin E. |
collection | PubMed |
description | Ambient fine particulate matter (PM(2.5)) is the world’s leading environmental health risk factor. Reducing the PM(2.5) disease burden requires specific strategies that target dominant sources across multiple spatial scales. We provide a contemporary and comprehensive evaluation of sector- and fuel-specific contributions to this disease burden across 21 regions, 204 countries, and 200 sub-national areas by integrating 24 global atmospheric chemistry-transport model sensitivity simulations, high-resolution satellite-derived PM(2.5) exposure estimates, and disease-specific concentration response relationships. Globally, 1.05 (95% Confidence Interval: 0.74–1.36) million deaths were avoidable in 2017 by eliminating fossil-fuel combustion (27.3% of the total PM(2.5) burden), with coal contributing to over half. Other dominant global sources included residential (0.74 [0.52–0.95] million deaths; 19.2%), industrial (0.45 [0.32–0.58] million deaths; 11.7%), and energy (0.39 [0.28–0.51] million deaths; 10.2%) sectors. Our results show that regions with large anthropogenic contributions generally had the highest attributable deaths, suggesting substantial health benefits from replacing traditional energy sources. |
format | Online Article Text |
id | pubmed-8203641 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-82036412021-07-01 Source sector and fuel contributions to ambient PM(2.5) and attributable mortality across multiple spatial scales McDuffie, Erin E. Martin, Randall V. Spadaro, Joseph V. Burnett, Richard Smith, Steven J. O’Rourke, Patrick Hammer, Melanie S. van Donkelaar, Aaron Bindle, Liam Shah, Viral Jaeglé, Lyatt Luo, Gan Yu, Fangqun Adeniran, Jamiu A. Lin, Jintai Brauer, Michael Nat Commun Article Ambient fine particulate matter (PM(2.5)) is the world’s leading environmental health risk factor. Reducing the PM(2.5) disease burden requires specific strategies that target dominant sources across multiple spatial scales. We provide a contemporary and comprehensive evaluation of sector- and fuel-specific contributions to this disease burden across 21 regions, 204 countries, and 200 sub-national areas by integrating 24 global atmospheric chemistry-transport model sensitivity simulations, high-resolution satellite-derived PM(2.5) exposure estimates, and disease-specific concentration response relationships. Globally, 1.05 (95% Confidence Interval: 0.74–1.36) million deaths were avoidable in 2017 by eliminating fossil-fuel combustion (27.3% of the total PM(2.5) burden), with coal contributing to over half. Other dominant global sources included residential (0.74 [0.52–0.95] million deaths; 19.2%), industrial (0.45 [0.32–0.58] million deaths; 11.7%), and energy (0.39 [0.28–0.51] million deaths; 10.2%) sectors. Our results show that regions with large anthropogenic contributions generally had the highest attributable deaths, suggesting substantial health benefits from replacing traditional energy sources. Nature Publishing Group UK 2021-06-14 /pmc/articles/PMC8203641/ /pubmed/34127654 http://dx.doi.org/10.1038/s41467-021-23853-y Text en © The Author(s) 2021 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 McDuffie, Erin E. Martin, Randall V. Spadaro, Joseph V. Burnett, Richard Smith, Steven J. O’Rourke, Patrick Hammer, Melanie S. van Donkelaar, Aaron Bindle, Liam Shah, Viral Jaeglé, Lyatt Luo, Gan Yu, Fangqun Adeniran, Jamiu A. Lin, Jintai Brauer, Michael Source sector and fuel contributions to ambient PM(2.5) and attributable mortality across multiple spatial scales |
title | Source sector and fuel contributions to ambient PM(2.5) and attributable mortality across multiple spatial scales |
title_full | Source sector and fuel contributions to ambient PM(2.5) and attributable mortality across multiple spatial scales |
title_fullStr | Source sector and fuel contributions to ambient PM(2.5) and attributable mortality across multiple spatial scales |
title_full_unstemmed | Source sector and fuel contributions to ambient PM(2.5) and attributable mortality across multiple spatial scales |
title_short | Source sector and fuel contributions to ambient PM(2.5) and attributable mortality across multiple spatial scales |
title_sort | source sector and fuel contributions to ambient pm(2.5) and attributable mortality across multiple spatial scales |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8203641/ https://www.ncbi.nlm.nih.gov/pubmed/34127654 http://dx.doi.org/10.1038/s41467-021-23853-y |
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