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      Co-benefits of Global Greenhouse Gas Mitigation for Future Air Quality and Human Health

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          Abstract

          Actions to reduce greenhouse gas (GHG) emissions often reduce co-emitted air pollutants, bringing co-benefits for air quality and human health. Past studies 16 typically evaluated near-term and local co-benefits, neglecting the long-range transport of air pollutants 79 , long-term demographic changes, and the influence of climate change on air quality 1012 . Here we simulate the co-benefits of global GHG reductions on air quality and human health using a global atmospheric model and consistent future scenarios, via two mechanisms: a) reducing co-emitted air pollutants, and b) slowing climate change and its effect on air quality. We use new relationships between chronic mortality and exposure to fine particulate matter 13 and ozone 14 , global modeling methods 15 , and new future scenarios 16 . Relative to a reference scenario, global GHG mitigation avoids 0.5±0.2, 1.3±0.5, and 2.2±0.8 million premature deaths in 2030, 2050, and 2100. Global average marginal co-benefits of avoided mortality are $50–380 (ton CO 2) −1, which exceed previous estimates, exceed marginal abatement costs in 2030 and 2050, and are within the low range of costs in 2100. East Asian co-benefits are 10–70 times the marginal cost in 2030. Air quality and health co-benefits, especially as they are mainly local and near-term, provide strong additional motivation for transitioning to a low-carbon future.

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          RCP4.5: a pathway for stabilization of radiative forcing by 2100

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            Long-term ozone exposure and mortality.

            Although many studies have linked elevations in tropospheric ozone to adverse health outcomes, the effect of long-term exposure to ozone on air pollution-related mortality remains uncertain. We examined the potential contribution of exposure to ozone to the risk of death from cardiopulmonary causes and specifically to death from respiratory causes. Data from the study cohort of the American Cancer Society Cancer Prevention Study II were correlated with air-pollution data from 96 metropolitan statistical areas in the United States. Data were analyzed from 448,850 subjects, with 118,777 deaths in an 18-year follow-up period. Data on daily maximum ozone concentrations were obtained from April 1 to September 30 for the years 1977 through 2000. Data on concentrations of fine particulate matter (particles that are < or = 2.5 microm in aerodynamic diameter [PM(2.5)]) were obtained for the years 1999 and 2000. Associations between ozone concentrations and the risk of death were evaluated with the use of standard and multilevel Cox regression models. In single-pollutant models, increased concentrations of either PM(2.5) or ozone were significantly associated with an increased risk of death from cardiopulmonary causes. In two-pollutant models, PM(2.5) was associated with the risk of death from cardiovascular causes, whereas ozone was associated with the risk of death from respiratory causes. The estimated relative risk of death from respiratory causes that was associated with an increment in ozone concentration of 10 ppb was 1.040 (95% confidence interval, 1.010 to 1.067). The association of ozone with the risk of death from respiratory causes was insensitive to adjustment for confounders and to the type of statistical model used. In this large study, we were not able to detect an effect of ozone on the risk of death from cardiovascular causes when the concentration of PM(2.5) was taken into account. We did, however, demonstrate a significant increase in the risk of death from respiratory causes in association with an increase in ozone concentration. 2009 Massachusetts Medical Society
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              Description and evaluation of the Model for Ozone and Related chemical Tracers, version 4 (MOZART-4)

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                Author and article information

                Journal
                101557419
                39051
                Nat Clim Chang
                Nat Clim Chang
                Nature climate change
                1758-678X
                1758-6798
                16 May 2014
                22 September 2013
                1 October 2013
                10 June 2014
                : 3
                : 10
                : 885-889
                Affiliations
                [1 ]University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
                [2 ]Joint Global Change Research Institute, Pacific Northwest National Laboratory, College Park, MD 20740, USA
                [3 ]UCAR/NOAA Geophysical Fluid Dynamics Laboratory, Princeton, NJ 08540, USA
                [4 ]US Environmental Protection Agency, Washington, DC 20004, USA
                [5 ]NOAA Geophysical Fluid Dynamics Laboratory, Princeton, NJ 08540, USA
                [6 ]National Center for Atmospheric Research, Boulder, CO 80301, USA
                Author notes
                Correspondence should be addressed to JJW ( jasonwest@ 123456unc.edu )
                Article
                NIHMS569403
                10.1038/NCLIMATE2009
                4051351
                24926321
                f5ad9c91-8428-4874-811b-22d23a33dd81
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