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Volume 16, issue 5
Atmos. Chem. Phys., 16, 3499–3523, 2016
https://doi.org/10.5194/acp-16-3499-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Atmos. Chem. Phys., 16, 3499–3523, 2016
https://doi.org/10.5194/acp-16-3499-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 17 Mar 2016

Research article | 17 Mar 2016

Exploring the uncertainty associated with satellite-based estimates of premature mortality due to exposure to fine particulate matter

Bonne Ford and Colette L. Heald

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Cited articles

Abbey, D. E., Ostro, B. E., Petersen, F., and Burchette, R. J.: Chronic respiratory symptoms associated with estimated long-term ambient concentrations of fine particulates less than 2.5 microns in aerodynamic diameter (PM2.5) and other air pollutants, J. Expo. Anal. Environ. Epidemiol., 5, 137–159, 1995.
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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 – Environmental Science & Technology (ACS Publications), Environ. Sci. Technol., 49, 8057–8066, 2015.
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As motivation for air quality research, many studies cite the fact that exposure to particulate matter is associated with premature mortality. Recently, more studies have also tried to quantify this burden; however, there are many data sets that can be used and many different methodological choices to be made. In this paper, we seek to explain the different sources of uncertainty in health impact assessments through the example of using model and satellite-based PM2.5 concentrations.
As motivation for air quality research, many studies cite the fact that exposure to particulate...
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