Magnitude, trends, and impacts of ambient long-term ozone exposure in the United States from 2000 to 2015

<p>Long-term exposure to ambient ozone (<span class="inline-formula">O<sub>3</sub></span>) is associated with a variety of impacts, including adverse human-health effects and reduced yields in commercial crops. Ground-level <span class="inline-formula&...

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Main Authors: K. M. Seltzer, D. T. Shindell, P. Kasibhatla, C. S. Malley
Format: Article
Language:English
Published: Copernicus Publications 2020-02-01
Series:Atmospheric Chemistry and Physics
Online Access:https://www.atmos-chem-phys.net/20/1757/2020/acp-20-1757-2020.pdf
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spelling doaj-6cace8d29c724d88a79fd77021fbb56d2020-11-25T01:45:14ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242020-02-01201757177510.5194/acp-20-1757-2020Magnitude, trends, and impacts of ambient long-term ozone exposure in the United States from 2000 to 2015K. M. Seltzer0D. T. Shindell1D. T. Shindell2P. Kasibhatla3C. S. Malley4Nicholas School of the Environment, Duke University, Durham, NC, USANicholas School of the Environment, Duke University, Durham, NC, USADuke Global Health Initiative, Duke University, Durham, NC, USANicholas School of the Environment, Duke University, Durham, NC, USAStockholm Environmental Institute, Department of Environment and Geography, University of York, York, UK<p>Long-term exposure to ambient ozone (<span class="inline-formula">O<sub>3</sub></span>) is associated with a variety of impacts, including adverse human-health effects and reduced yields in commercial crops. Ground-level <span class="inline-formula">O<sub>3</sub></span> concentrations for assessments are typically predicted using chemical transport models; however such methods often feature biases that can influence impact estimates. Here, we develop and apply artificial neural networks to empirically model long-term <span class="inline-formula">O<sub>3</sub></span> exposure over the continental United States from 2000 to 2015, and we generate a measurement-based assessment of impacts on human-health and crop yields. Notably, we found that two commonly used human-health averaging metrics, based on separate epidemiological studies, differ in their trends over the study period. The population-weighted, April–September average of the daily 1&thinsp;h maximum concentration peaked in 2002 at 55.9&thinsp;ppb and decreased by <span class="inline-formula">0.43</span> [95&thinsp;% CI: <span class="inline-formula">0.28</span>, <span class="inline-formula">0.57</span>]&thinsp;ppb&thinsp;yr<span class="inline-formula"><sup>−1</sup></span> between 2000 and 2015, yielding an <span class="inline-formula">∼18</span>&thinsp;% decrease in normalized human-health impacts. In contrast, there was little change in the population-weighted, annual average of the maximum daily 8&thinsp;h average concentration between 2000 and 2015, which resulted in a <span class="inline-formula">∼5</span>&thinsp;% increase in normalized human-health impacts. In both cases, an aging population structure played a substantial role in modulating these trends. Trends of all agriculture-weighted crop-loss metrics indicated yield improvements, with reductions in the estimated national relative yield loss ranging from 1.7&thinsp;% to 1.9&thinsp;% for maize, 5.1&thinsp;% to 7.1&thinsp;% for soybeans, and 2.7&thinsp;% for wheat. Overall, these results provide a measurement-based estimate of long-term <span class="inline-formula">O<sub>3</sub></span> exposure over the United States, quantify the historical trends of such exposure, and illustrate how different conclusions regarding historical impacts can be made through the use of varying metrics.</p>https://www.atmos-chem-phys.net/20/1757/2020/acp-20-1757-2020.pdf
collection DOAJ
language English
format Article
sources DOAJ
author K. M. Seltzer
D. T. Shindell
D. T. Shindell
P. Kasibhatla
C. S. Malley
spellingShingle K. M. Seltzer
D. T. Shindell
D. T. Shindell
P. Kasibhatla
C. S. Malley
Magnitude, trends, and impacts of ambient long-term ozone exposure in the United States from 2000 to 2015
Atmospheric Chemistry and Physics
author_facet K. M. Seltzer
D. T. Shindell
D. T. Shindell
P. Kasibhatla
C. S. Malley
author_sort K. M. Seltzer
title Magnitude, trends, and impacts of ambient long-term ozone exposure in the United States from 2000 to 2015
title_short Magnitude, trends, and impacts of ambient long-term ozone exposure in the United States from 2000 to 2015
title_full Magnitude, trends, and impacts of ambient long-term ozone exposure in the United States from 2000 to 2015
title_fullStr Magnitude, trends, and impacts of ambient long-term ozone exposure in the United States from 2000 to 2015
title_full_unstemmed Magnitude, trends, and impacts of ambient long-term ozone exposure in the United States from 2000 to 2015
title_sort magnitude, trends, and impacts of ambient long-term ozone exposure in the united states from 2000 to 2015
publisher Copernicus Publications
series Atmospheric Chemistry and Physics
issn 1680-7316
1680-7324
publishDate 2020-02-01
description <p>Long-term exposure to ambient ozone (<span class="inline-formula">O<sub>3</sub></span>) is associated with a variety of impacts, including adverse human-health effects and reduced yields in commercial crops. Ground-level <span class="inline-formula">O<sub>3</sub></span> concentrations for assessments are typically predicted using chemical transport models; however such methods often feature biases that can influence impact estimates. Here, we develop and apply artificial neural networks to empirically model long-term <span class="inline-formula">O<sub>3</sub></span> exposure over the continental United States from 2000 to 2015, and we generate a measurement-based assessment of impacts on human-health and crop yields. Notably, we found that two commonly used human-health averaging metrics, based on separate epidemiological studies, differ in their trends over the study period. The population-weighted, April–September average of the daily 1&thinsp;h maximum concentration peaked in 2002 at 55.9&thinsp;ppb and decreased by <span class="inline-formula">0.43</span> [95&thinsp;% CI: <span class="inline-formula">0.28</span>, <span class="inline-formula">0.57</span>]&thinsp;ppb&thinsp;yr<span class="inline-formula"><sup>−1</sup></span> between 2000 and 2015, yielding an <span class="inline-formula">∼18</span>&thinsp;% decrease in normalized human-health impacts. In contrast, there was little change in the population-weighted, annual average of the maximum daily 8&thinsp;h average concentration between 2000 and 2015, which resulted in a <span class="inline-formula">∼5</span>&thinsp;% increase in normalized human-health impacts. In both cases, an aging population structure played a substantial role in modulating these trends. Trends of all agriculture-weighted crop-loss metrics indicated yield improvements, with reductions in the estimated national relative yield loss ranging from 1.7&thinsp;% to 1.9&thinsp;% for maize, 5.1&thinsp;% to 7.1&thinsp;% for soybeans, and 2.7&thinsp;% for wheat. Overall, these results provide a measurement-based estimate of long-term <span class="inline-formula">O<sub>3</sub></span> exposure over the United States, quantify the historical trends of such exposure, and illustrate how different conclusions regarding historical impacts can be made through the use of varying metrics.</p>
url https://www.atmos-chem-phys.net/20/1757/2020/acp-20-1757-2020.pdf
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