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

被引：0
作者：
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
机构：
[1] Washington University in St. Louis,Department of Energy, Environmental, and Chemical Engineering
[2] Dalhousie University,Department of Physics and Atmospheric Science
[3] Spadaro Environmental Research Consultants (SERC),Institute for Health Metrics and Evaluation
[4] University of Washington,Joint Global Change Research Institute
[5] Pacific Northwest National Laboratory,Department of Atmospheric Sciences
[6] University of Washington,Atmospheric Sciences Research Center
[7] University at Albany,Department of Atmospheric and Oceanic Sciences, School of Physics
[8] Peking University,School of Population and Public Health
[9] University of British Columbia,Harvard John A. Paulson School of Engineering and Applied Sciences
[10] Harvard University,undefined
来源：
Nature Communications | / 12卷
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摘要：
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 simulations, high-resolution satellite-derived PM2.5 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 PM2.5 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.
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