Literature DB >> 28120830

Characterizing the impact of projected changes in climate and air quality on human exposures to ozone.

Kathie L Dionisio1, Christopher G Nolte1, Tanya L Spero1, Stephen Graham2, Nina Caraway1, Kristen M Foley1, Kristin K Isaacs1.   

Abstract

The impact of climate change on human and environmental health is of critical concern. Population exposures to air pollutants both indoors and outdoors are influenced by a wide range of air quality, meteorological, behavioral, and housing-related factors, many of which are also impacted by climate change. An integrated methodology for modeling changes in human exposures to tropospheric ozone (O3) owing to potential future changes in climate and demographics was implemented by linking existing modeling tools for climate, weather, air quality, population distribution, and human exposure. Human exposure results from the Air Pollutants Exposure Model (APEX) for 12 US cities show differences in daily maximum 8-h (DM8H) exposure patterns and levels by sex, age, and city for all scenarios. When climate is held constant and population demographics are varied, minimal difference in O3 exposures is predicted even with the most extreme demographic change scenario. In contrast, when population is held constant, we see evidence of substantial changes in O3 exposure for the most extreme change in climate. Similarly, we see increases in the percentage of the population in each city with at least one O3 exposure exceedance above 60 p.p.b and 70 p.p.b thresholds for future changes in climate. For these climate and population scenarios, the impact of projected changes in climate and air quality on human exposure to O3 are much larger than the impacts of changing demographics. These results indicate the potential for future changes in O3 exposure as a result of changes in climate that could impact human health.

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Year:  2017        PMID: 28120830      PMCID: PMC8958429          DOI: 10.1038/jes.2016.81

Source DB:  PubMed          Journal:  J Expo Sci Environ Epidemiol        ISSN: 1559-0631            Impact factor:   5.563


  18 in total

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Authors:  Fernando Garcia-Menendez; Rebecca K Saari; Erwan Monier; Noelle E Selin
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2.  Identifying housing and meteorological conditions influencing residential air exchange rates in the DEARS and RIOPA studies: development of distributions for human exposure modeling.

Authors:  Kristin Isaacs; Janet Burke; Luther Smith; Ronald Williams
Journal:  J Expo Sci Environ Epidemiol       Date:  2013-02-27       Impact factor: 5.563

3.  Characterizing the spatial distribution of multiple pollutants and populations at risk in Atlanta, Georgia.

Authors:  John L Pearce; Lance A Waller; Stefanie E Sarnat; Howard H Chang; Mitch Klein; James A Mulholland; Paige E Tolbert
Journal:  Spat Spatiotemporal Epidemiol       Date:  2016-03-24

4.  Temporal variability of microenvironmental time budgets in Maryland.

Authors:  S L Echols; D L MacIntosh; K A Hammerstrom; P B Ryan
Journal:  J Expo Anal Environ Epidemiol       Date:  1999 Sep-Oct

5.  The national exposure research laboratory's consolidated human activity database.

Authors:  T McCurdy; G Glen; L Smith; Y Lakkadi
Journal:  J Expo Anal Environ Epidemiol       Date:  2000 Nov-Dec

6.  Influence of human activity patterns, particle composition, and residential air exchange rates on modeled distributions of PM2.5 exposure compared with central-site monitoring data.

Authors:  Lisa K Baxter; Janet Burke; Melissa Lunden; Barbara J Turpin; David Q Rich; Kelly Thevenet-Morrison; Natasha Hodas; Halûk Ökaynak
Journal:  J Expo Sci Environ Epidemiol       Date:  2013-01-16       Impact factor: 5.563

7.  Understanding variability in time spent in selected locations for 7-12-year old children.

Authors:  Jianping Xue; Thomas McCurdy; John Spengler; Hâluk Ozkaynak
Journal:  J Expo Anal Environ Epidemiol       Date:  2004-05

8.  Developing meaningful cohorts for human exposure models.

Authors:  Stephen E Graham; Thomas McCurdy
Journal:  J Expo Anal Environ Epidemiol       Date:  2004-01

9.  Climate variability modulates western US ozone air quality in spring via deep stratospheric intrusions.

Authors:  Meiyun Lin; Arlene M Fiore; Larry W Horowitz; Andrew O Langford; Samuel J Oltmans; David Tarasick; Harald E Rieder
Journal:  Nat Commun       Date:  2015-05-12       Impact factor: 14.919

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

Authors:  Ellen S Post; Anne Grambsch; Chris Weaver; Philip Morefield; Jin Huang; Lai-Yung Leung; Christopher G Nolte; Peter Adams; Xin-Zhong Liang; Jin-Hong Zhu; Hardee Mahoney
Journal:  Environ Health Perspect       Date:  2012-07-12       Impact factor: 9.031

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  3 in total

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Authors:  Nicholas Nassikas; Keith Spangler; Neal Fann; Christopher G Nolte; Patrick Dolwick; Tanya L Spero; Perry Sheffield; Gregory A Wellenius
Journal:  Environ Res       Date:  2020-01-31       Impact factor: 6.498

2.  Ozone Concentration Levels in Urban Environments-Upper Silesia Region Case Study.

Authors:  Joanna Kobza; Mariusz Geremek; Lechosław Dul
Journal:  Int J Environ Res Public Health       Date:  2021-02-04       Impact factor: 3.390

3.  Ozone exposure upregulates the expression of host susceptibility protein TMPRSS2 to SARS-CoV-2.

Authors:  Thao Vo; Kshitiz Paudel; Ishita Choudhary; Sonika Patial; Yogesh Saini
Journal:  Sci Rep       Date:  2022-01-25       Impact factor: 4.379

  3 in total

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