Dataset Information

Variation in estimated ozone-related health impacts of climate change due to modeling choices and assumptions.

ABSTRACT:

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.

SUBMITTER: Post ES

PROVIDER: S-EPMC3556604 | biostudies-literature | 2012 Nov

REPOSITORIES: biostudies-literature

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Publications

Variation in estimated ozone-related health impacts of climate change due to modeling choices and assumptions.

Post Ellen S ES Grambsch Anne A Weaver Chris C Morefield Philip P Huang Jin J Leung Lai-Yung LY Nolte Christopher G CG Adams Peter P Liang Xin-Zhong XZ Zhu Jin-Hong JH Mahoney Hardee H

Environmental health perspectives 20120712 11

<h4>Background</h4>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.<h4>Objectives</h4>Our goal was to assess the sensitivity of estimated ozone-related human health impacts of clim ...[more]

PMID: 22796531

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Dataset Information

Variation in estimated ozone-related health impacts of climate change due to modeling choices and assumptions.

Background

Objectives

Methods

Results

Conclusions

Publications

Variation in estimated ozone-related health impacts of climate change due to modeling choices and assumptions.

Similar Datasets

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