Oak Ridge Institute for Science and Education (ORISE) Fellowship
Participant at US Environmental Protection Agency, Research Triangle Park, NC
27711, USA
now at: Nicholas
School of the Environment, Duke University, Durham, NC 27710, USA
Computational Exposure Division, National Exposure
Research Laboratory, Office of Research and Development, US
Environmental Protection Agency, Research Triangle Park, NC 27711, USA
Jia Xing
State Key Joint Laboratory of Environmental Simulation and
Pollution Control, School of Environment, Tsinghua University,
Beijing 100084, China
Computational Exposure Division, National Exposure
Research Laboratory, Office of Research and Development, US
Environmental Protection Agency, Research Triangle Park, NC 27711, USA
Shawn J. Roselle
Computational Exposure Division, National Exposure
Research Laboratory, Office of Research and Development, US
Environmental Protection Agency, Research Triangle Park, NC 27711, USA
Computational Exposure Division, National Exposure
Research Laboratory, Office of Research and Development, US
Environmental Protection Agency, Research Triangle Park, NC 27711, USA
Jonathan E. Pleim
Computational Exposure Division, National Exposure
Research Laboratory, Office of Research and Development, US
Environmental Protection Agency, Research Triangle Park, NC 27711, USA
Chuen-Meei Gan
CSC Government Solutions LLC, A CSRA
Company, Research Triangle Park, NC 27709, USA
David C. Wong
Computational Exposure Division, National Exposure
Research Laboratory, Office of Research and Development, US
Environmental Protection Agency, Research Triangle Park, NC 27711, USA
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9,233
1,978
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729
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Total article views: 12,521 (including HTML, PDF, and XML)
Thereof 12,054 with geography defined
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Total article views: 11,387 (including HTML, PDF, and XML)
Thereof 10,918 with geography defined
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Total article views: 1,134 (including HTML, PDF, and XML)
Thereof 1,134 with geography defined
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Here we use a fine-resolution (36 km) self-consistent 21-year air quality simulation from 1990 to 2010, a health impact function, and annual county-level population and baseline mortality rate estimates to estimate annual mortality burdens from PM2.5 and O3 in the US, and also the contributions to the trends. We found that the PM2.5-related mortality burden has steadily decreased by 53 %, while the O3-related mortality burden has increased by 13 %, with larger inter-annual variabilities.
Here we use a fine-resolution (36 km) self-consistent 21-year air quality simulation from 1990...
