Articles | Volume 20, issue 3
https://doi.org/10.5194/acp-20-1757-2020
https://doi.org/10.5194/acp-20-1757-2020
Research article
 | 
14 Feb 2020
Research article |  | 14 Feb 2020

Magnitude, trends, and impacts of ambient long-term ozone exposure in the United States from 2000 to 2015

Karl M. Seltzer, Drew T. Shindell, Prasad Kasibhatla, and Christopher S. Malley

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Cited articles

Anenberg, S. C., Horowitz, L. W., Tong, D. Q., and West, J. J.: An estimate of the global burden of anthropogenic ozone and fine particulate matter on premature human mortality using atmospheric modeling, Environ. Health Persp., 118, 1189–1195, https://doi.org/10.1289/ehp.0901220, 2010. 
Apte, J. S., Marshall, J. D., Cohen, A. J., and Brauer, M.: Addressing Global Mortality from Ambient PM2.5, Environ. Sci. Technol., 49, 8057–8066, https://doi.org/10.1021/acs.est.5b01236, 2015. 
Avnery, S., Mauzerall, D. L., Liu, J., and Horowitz, L. W.: Global crop yield reductions due to surface ozone exposure: 1. Year 2000 crop production losses and economic damage, Atmos. Environ., 45, 2284–2296, https://doi.org/10.1016/j.atmosenv.2010.11.045, 2011. 
Bell, M. L.: The use of ambient air quality modeling to estimate individual and population exposure for human health research: A case study of ozone in the Northern Georgia Region of the United States, Environ. Int., 32, 586–593, https://doi.org/10.1016/j.envint.2006.01.005, 2006. 
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Short summary
Long-term exposure to ambient ozone is associated with a variety of impacts, including adverse human-health effects and reduced commercial crop yields. We apply machine learning to empirically model long-term O3 exposure over the continental United States from 2000 to 2015 and generate a measurement-based assessment of impacts on human health and crop yields. Notably, our results illustrate how different conclusions regarding historical impacts can be drawn through the use of varying metrics.
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