Dataset Information

Source sector and fuel contributions to ambient PM_2.5 and attributable mortality across multiple spatial scales.

ABSTRACT: 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.

SUBMITTER: McDuffie EE

PROVIDER: S-EPMC8203641 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature

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

McDuffie Erin E EE Martin Randall V RV Spadaro Joseph V JV Burnett Richard R Smith Steven J SJ O'Rourke Patrick P Hammer Melanie S MS van Donkelaar Aaron A Bindle Liam L Shah Viral V Jaeglé Lyatt L Luo Gan G Yu Fangqun F Adeniran Jamiu A JA Lin Jintai J Brauer Michael M

Nature communications 20210614 1

Ambient fine particulate matter (PM2.5) is the world's leading environmental health risk factor. Reducing the PM2.5 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 ...[more]

PMID: 34127654

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Dataset Information

Source sector and fuel contributions to ambient PM_2.5 and attributable mortality across multiple spatial scales.

Publications

Source sector and fuel contributions to ambient PM<sub>2.5</sub> and attributable mortality across multiple spatial scales.

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