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Variation in Estimated Ozone-Related Health Impacts of Climate Change due to Modeling Choices and Assumptions

Background: Future climate change may cause air quality degradation via climate-induced changes in meteorology, atmospheric chemistry, and emissions into the air. Few studies have explicitly modeled the potential relationships between climate change, air quality, and human health, and fewer still ha...

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Autores principales: Post, Ellen S., Grambsch, Anne, Weaver, Chris, Morefield, Philip, Huang, Jin, Leung, Lai-Yung, Nolte, Christopher G., Adams, Peter, Liang, Xin-Zhong, Zhu, Jin-Hong, Mahoney, Hardee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Institute of Environmental Health Sciences 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3556604/
https://www.ncbi.nlm.nih.gov/pubmed/22796531
http://dx.doi.org/10.1289/ehp.1104271
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author Post, Ellen S.
Grambsch, Anne
Weaver, Chris
Morefield, Philip
Huang, Jin
Leung, Lai-Yung
Nolte, Christopher G.
Adams, Peter
Liang, Xin-Zhong
Zhu, Jin-Hong
Mahoney, Hardee
author_facet Post, Ellen S.
Grambsch, Anne
Weaver, Chris
Morefield, Philip
Huang, Jin
Leung, Lai-Yung
Nolte, Christopher G.
Adams, Peter
Liang, Xin-Zhong
Zhu, Jin-Hong
Mahoney, Hardee
author_sort Post, Ellen S.
collection PubMed
description Background: Future climate change may cause air quality degradation via climate-induced changes in meteorology, atmospheric chemistry, and emissions into the air. Few studies have explicitly modeled the potential relationships between climate change, air quality, and human health, and fewer still have investigated the sensitivity of estimates to the underlying modeling choices. Objectives: Our goal was to assess the sensitivity of estimated ozone-related human health impacts of climate change to key modeling choices. Methods: Our analysis included seven modeling systems in which a climate change model is linked to an air quality model, five population projections, and multiple concentration–response functions. Using the U.S. Environmental Protection Agency’s (EPA’s) Environmental Benefits Mapping and Analysis Program (BenMAP), we estimated future ozone (O(3))-related health effects in the United States attributable to simulated climate change between the years 2000 and approximately 2050, given each combination of modeling choices. Health effects and concentration–response functions were chosen to match those used in the U.S. EPA’s 2008 Regulatory Impact Analysis of the National Ambient Air Quality Standards for O(3). Results: Different combinations of methodological choices produced a range of estimates of national O(3)-related mortality from roughly 600 deaths avoided as a result of climate change to 2,500 deaths attributable to climate change (although the large majority produced increases in mortality). The choice of the climate change and the air quality model reflected the greatest source of uncertainty, with the other modeling choices having lesser but still substantial effects. Conclusions: Our results highlight the need to use an ensemble approach, instead of relying on any one set of modeling choices, to assess the potential risks associated with O(3)-related human health effects resulting from climate change.
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spelling pubmed-35566042013-01-30 Variation in Estimated Ozone-Related Health Impacts of Climate Change due to Modeling Choices and Assumptions Post, Ellen S. Grambsch, Anne Weaver, Chris Morefield, Philip Huang, Jin Leung, Lai-Yung Nolte, Christopher G. Adams, Peter Liang, Xin-Zhong Zhu, Jin-Hong Mahoney, Hardee Environ Health Perspect Research Background: Future climate change may cause air quality degradation via climate-induced changes in meteorology, atmospheric chemistry, and emissions into the air. Few studies have explicitly modeled the potential relationships between climate change, air quality, and human health, and fewer still have investigated the sensitivity of estimates to the underlying modeling choices. Objectives: Our goal was to assess the sensitivity of estimated ozone-related human health impacts of climate change to key modeling choices. Methods: Our analysis included seven modeling systems in which a climate change model is linked to an air quality model, five population projections, and multiple concentration–response functions. Using the U.S. Environmental Protection Agency’s (EPA’s) Environmental Benefits Mapping and Analysis Program (BenMAP), we estimated future ozone (O(3))-related health effects in the United States attributable to simulated climate change between the years 2000 and approximately 2050, given each combination of modeling choices. Health effects and concentration–response functions were chosen to match those used in the U.S. EPA’s 2008 Regulatory Impact Analysis of the National Ambient Air Quality Standards for O(3). Results: Different combinations of methodological choices produced a range of estimates of national O(3)-related mortality from roughly 600 deaths avoided as a result of climate change to 2,500 deaths attributable to climate change (although the large majority produced increases in mortality). The choice of the climate change and the air quality model reflected the greatest source of uncertainty, with the other modeling choices having lesser but still substantial effects. Conclusions: Our results highlight the need to use an ensemble approach, instead of relying on any one set of modeling choices, to assess the potential risks associated with O(3)-related human health effects resulting from climate change. National Institute of Environmental Health Sciences 2012-07-12 2012-11 /pmc/articles/PMC3556604/ /pubmed/22796531 http://dx.doi.org/10.1289/ehp.1104271 Text en http://creativecommons.org/publicdomain/mark/1.0/ Publication of EHP lies in the public domain and is therefore without copyright. All text from EHP may be reprinted freely. Use of materials published in EHP should be acknowledged (for example, ?Reproduced with permission from Environmental Health Perspectives?); pertinent reference information should be provided for the article from which the material was reproduced. Articles from EHP, especially the News section, may contain photographs or illustrations copyrighted by other commercial organizations or individuals that may not be used without obtaining prior approval from the holder of the copyright.
spellingShingle Research
Post, Ellen S.
Grambsch, Anne
Weaver, Chris
Morefield, Philip
Huang, Jin
Leung, Lai-Yung
Nolte, Christopher G.
Adams, Peter
Liang, Xin-Zhong
Zhu, Jin-Hong
Mahoney, Hardee
Variation in Estimated Ozone-Related Health Impacts of Climate Change due to Modeling Choices and Assumptions
title Variation in Estimated Ozone-Related Health Impacts of Climate Change due to Modeling Choices and Assumptions
title_full Variation in Estimated Ozone-Related Health Impacts of Climate Change due to Modeling Choices and Assumptions
title_fullStr Variation in Estimated Ozone-Related Health Impacts of Climate Change due to Modeling Choices and Assumptions
title_full_unstemmed Variation in Estimated Ozone-Related Health Impacts of Climate Change due to Modeling Choices and Assumptions
title_short Variation in Estimated Ozone-Related Health Impacts of Climate Change due to Modeling Choices and Assumptions
title_sort variation in estimated ozone-related health impacts of climate change due to modeling choices and assumptions
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3556604/
https://www.ncbi.nlm.nih.gov/pubmed/22796531
http://dx.doi.org/10.1289/ehp.1104271
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