Policy Analysis
Intercontinental Impacts of Ozone Pollution on Human Mortality
University of North Carolina at Chapel Hill.
, ‡NOAA Geophysical Fluid Dynamics Laboratory.
, §University of Washington-Bothell.
,
University of California, Irvine.
,
Lawrence Livermore National Laboratory.
, #European Commission, DG-Joint Research Centre, Institute for Environment and Sustainability.
,
NASA Goddard Space Flight Center.
,University of Oslo.
, &Norwegian Meteorological Institute.
,
National Center for Atmospheric Research.
, ¶Cornell University.
, +Norwegian Meteorological Institute.
,York University.
, ●University of Edinburgh.
, ▲Harvard University; now at Seoul National University, Korea.
,Met Office Hadley Centre.
, $ICG-2.
, βNASA Goddard Institute for Space Studies and Columbia University.
, &Laboratoire des Sciences du Climat et de l’Environnement, CEA/CNRS/UVSQ/IPSL.
, +CIEMAT.
, εLancaster Environment Centre.
, @University of Cambridge; now at National Institute of Water and Atmospheric Research Ltd., Lauder, New Zealand.
Abstract
Ozone exposure is associated with negative health impacts, including premature mortality. Observations and modeling studies demonstrate that emissions from one continent influence ozone air quality over other continents. We estimate the premature mortalities avoided from surface ozone decreases obtained via combined 20% reductions of anthropogenic nitrogen oxide, nonmethane volatile organic compound, and carbon monoxide emissions in North America (NA), East Asia (EA), South Asia (SA), and Europe (EU). We use estimates of ozone responses to these emission changes from several atmospheric chemical transport models combined with a health impact function. Foreign emission reductions contribute approximately 30%, 30%, 20%, and >50% of the mortalities avoided by reducing precursor emissions in all regions together in NA, EA, SA, and EU, respectively. Reducing emissions in NA and EU avoids more mortalities outside the source region than within, owing in part to larger populations in foreign regions. Lowering the global methane abundance by 20% reduces mortality most in SA, followed by EU, EA, and NA. For some source−receptor pairs, there is greater uncertainty in our estimated avoided mortalities associated with the modeled ozone responses to emission changes than with the health impact function parameters.
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History
- Published In Issue September 01, 2009
- Article ASAPAugust 10, 2009
- Received: February 21, 2009
Revised: July 19, 2009
Accepted: July 21, 2009
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