Source sector and fuel contributions to ambient PM2.5 and attributable mortality across multiple spatial scales

Ambient fine particulate matter (PM2.5) is one of the most important environmental health risk factors in many regions. Here, the authors present an assessment of PM2.5 emission sources and the related health impacts across global to sub-national scales and find that over 1 million deaths were avoid...

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Autores principales: Erin E. McDuffie, Randall V. Martin, Joseph V. Spadaro, Richard Burnett, Steven J. Smith, Patrick O’Rourke, Melanie S. Hammer, Aaron van Donkelaar, Liam Bindle, Viral Shah, Lyatt Jaeglé, Gan Luo, Fangqun Yu, Jamiu A. Adeniran, Jintai Lin, Michael Brauer
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Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/af996bbbd53c4f399c3f4d36e2ff9bf4
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spelling oai:doaj.org-article:af996bbbd53c4f399c3f4d36e2ff9bf42021-12-02T16:04:29ZSource sector and fuel contributions to ambient PM2.5 and attributable mortality across multiple spatial scales10.1038/s41467-021-23853-y2041-1723https://doaj.org/article/af996bbbd53c4f399c3f4d36e2ff9bf42021-06-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-23853-yhttps://doaj.org/toc/2041-1723Ambient fine particulate matter (PM2.5) is one of the most important environmental health risk factors in many regions. Here, the authors present an assessment of PM2.5 emission sources and the related health impacts across global to sub-national scales and find that over 1 million deaths were avoidable in 2017 by eliminating PM2.5 mass associated with fossil fuel combustion emissions.Erin E. McDuffieRandall V. MartinJoseph V. SpadaroRichard BurnettSteven J. SmithPatrick O’RourkeMelanie S. HammerAaron van DonkelaarLiam BindleViral ShahLyatt JaegléGan LuoFangqun YuJamiu A. AdeniranJintai LinMichael BrauerNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-12 (2021)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Erin E. McDuffie
Randall V. Martin
Joseph V. Spadaro
Richard Burnett
Steven J. Smith
Patrick O’Rourke
Melanie S. Hammer
Aaron van Donkelaar
Liam Bindle
Viral Shah
Lyatt Jaeglé
Gan Luo
Fangqun Yu
Jamiu A. Adeniran
Jintai Lin
Michael Brauer
Source sector and fuel contributions to ambient PM2.5 and attributable mortality across multiple spatial scales
description Ambient fine particulate matter (PM2.5) is one of the most important environmental health risk factors in many regions. Here, the authors present an assessment of PM2.5 emission sources and the related health impacts across global to sub-national scales and find that over 1 million deaths were avoidable in 2017 by eliminating PM2.5 mass associated with fossil fuel combustion emissions.
format article
author Erin E. McDuffie
Randall V. Martin
Joseph V. Spadaro
Richard Burnett
Steven J. Smith
Patrick O’Rourke
Melanie S. Hammer
Aaron van Donkelaar
Liam Bindle
Viral Shah
Lyatt Jaeglé
Gan Luo
Fangqun Yu
Jamiu A. Adeniran
Jintai Lin
Michael Brauer
author_facet Erin E. McDuffie
Randall V. Martin
Joseph V. Spadaro
Richard Burnett
Steven J. Smith
Patrick O’Rourke
Melanie S. Hammer
Aaron van Donkelaar
Liam Bindle
Viral Shah
Lyatt Jaeglé
Gan Luo
Fangqun Yu
Jamiu A. Adeniran
Jintai Lin
Michael Brauer
author_sort Erin E. McDuffie
title Source sector and fuel contributions to ambient PM2.5 and attributable mortality across multiple spatial scales
title_short Source sector and fuel contributions to ambient PM2.5 and attributable mortality across multiple spatial scales
title_full Source sector and fuel contributions to ambient PM2.5 and attributable mortality across multiple spatial scales
title_fullStr Source sector and fuel contributions to ambient PM2.5 and attributable mortality across multiple spatial scales
title_full_unstemmed Source sector and fuel contributions to ambient PM2.5 and attributable mortality across multiple spatial scales
title_sort source sector and fuel contributions to ambient pm2.5 and attributable mortality across multiple spatial scales
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/af996bbbd53c4f399c3f4d36e2ff9bf4
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