Global premature mortality due to anthropogenic outdoor air pollution and the contribution of past climate change

Increased concentrations of ozone and fine particulate matter (PM2.5) since preindustrial times reflect increased emissions, but also contributions of past climate change. Here we use modeled concentrations from an ensemble of chemistry-climate models to estimate the global burden of anthropogenic o...

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Published inEnvironmental research letters Vol. 8; no. 3; pp. 1 - 11
Main Authors Silva, Raquel A, West, J Jason, Zhang, Yuqiang, Anenberg, Susan C, Lamarque, Jean-François, Shindell, Drew T, Collins, William J, Dalsoren, Stig, Faluvegi, Greg, Folberth, Gerd, Horowitz, Larry W, Nagashima, Tatsuya, Naik, Vaishali, Rumbold, Steven, Skeie, Ragnhild, Sudo, Kengo, Takemura, Toshihiko, Bergmann, Daniel, Cameron-Smith, Philip, Cionni, Irene, Doherty, Ruth M, Eyring, Veronika, Josse, Beatrice, MacKenzie, I A, Plummer, David, Righi, Mattia, Stevenson, David S, Strode, Sarah, Szopa, Sophie, Zeng, Guang
Format Journal Article
LanguageEnglish
Published Goddard Space Flight Center IOP Publishing 01.09.2013
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Abstract Increased concentrations of ozone and fine particulate matter (PM2.5) since preindustrial times reflect increased emissions, but also contributions of past climate change. Here we use modeled concentrations from an ensemble of chemistry-climate models to estimate the global burden of anthropogenic outdoor air pollution on present-day premature human mortality, and the component of that burden attributable to past climate change. Using simulated concentrations for 2000 and 1850 and concentration-response functions (CRFs), we estimate that, at present, 470 000 (95% confidence interval, 140 000 to 900 000) premature respiratory deaths are associated globally and annually with anthropogenic ozone, and 2.1 (1.3 to 3.0) million deaths with anthropogenic PM2.5-related cardiopulmonary diseases (93%) and lung cancer (7%). These estimates are smaller than ones from previous studies because we use modeled 1850 air pollution rather than a counterfactual low concentration, and because of different emissions. Uncertainty in CRFs contributes more to overall uncertainty than the spread of model results. Mortality attributed to the effects of past climate change on air quality is considerably smaller than the global burden: 1500 (−20 000 to 27 000) deaths yr−1 due to ozone and 2200 (−350 000 to 140 000) due to PM2.5. The small multi-model means are coincidental, as there are larger ranges of results for individual models, reflected in the large uncertainties, with some models suggesting that past climate change has reduced air pollution mortality.
AbstractList Increased concentrations of ozone and fine particulate matter (PM _2.5 ) since preindustrial times reflect increased emissions, but also contributions of past climate change. Here we use modeled concentrations from an ensemble of chemistry–climate models to estimate the global burden of anthropogenic outdoor air pollution on present-day premature human mortality, and the component of that burden attributable to past climate change. Using simulated concentrations for 2000 and 1850 and concentration–response functions (CRFs), we estimate that, at present, 470 000 (95% confidence interval, 140 000 to 900 000) premature respiratory deaths are associated globally and annually with anthropogenic ozone, and 2.1 (1.3 to 3.0) million deaths with anthropogenic PM _2.5 -related cardiopulmonary diseases (93%) and lung cancer (7%). These estimates are smaller than ones from previous studies because we use modeled 1850 air pollution rather than a counterfactual low concentration, and because of different emissions. Uncertainty in CRFs contributes more to overall uncertainty than the spread of model results. Mortality attributed to the effects of past climate change on air quality is considerably smaller than the global burden: 1500 (−20 000 to 27 000) deaths yr ^−1 due to ozone and 2200 (−350 000 to 140 000) due to PM _2.5 . The small multi-model means are coincidental, as there are larger ranges of results for individual models, reflected in the large uncertainties, with some models suggesting that past climate change has reduced air pollution mortality.
Increased concentrations of ozone and fine particulate matter (PM2.5) since preindustrial times reflect increased emissions, but also contributions of past climate change. Here we use modeled concentrations from an ensemble of chemistry–climate models to estimate the global burden of anthropogenic outdoor air pollution on present-day premature human mortality, and the component of that burden attributable to past climate change. Using simulated concentrations for 2000 and 1850 and concentration–response functions (CRFs), we estimate that, at present, 470 000 (95% confidence interval, 140 000 to 900 000) premature respiratory deaths are associated globally and annually with anthropogenic ozone, and 2.1 (1.3 to 3.0) million deaths with anthropogenic PM2.5-related cardiopulmonary diseases (93%) and lung cancer (7%). These estimates are smaller than ones from previous studies because we use modeled 1850 air pollution rather than a counterfactual low concentration, and because of different emissions. Uncertainty in CRFs contributes more to overall uncertainty than the spread of model results. Mortality attributed to the effects of past climate change on air quality is considerably smaller than the global burden: 1500 (−20 000 to 27 000) deaths yr−1 due to ozone and 2200 (−350 000 to 140 000) due to PM2.5. The small multi-model means are coincidental, as there are larger ranges of results for individual models, reflected in the large uncertainties, with some models suggesting that past climate change has reduced air pollution mortalit
Increased concentrations of ozone and fine particulate matter (PM sub(2.5)) since preindustrial times reflect increased emissions, but also contributions of past climate change. Here we use modeled concentrations from an ensemble of chemistry-climate models to estimate the global burden of anthropogenic outdoor air pollution on present-day premature human mortality, and the component of that burden attributable to past climate change. Using simulated concentrations for 2000 and 1850 and concentration-response functions (CRFs), we estimate that, at present, 470000 (95% confidence interval, 140000 to 900000) premature respiratory deaths are associated globally and annually with anthropogenic ozone, and 2.1 (1.3 to 3.0) million deaths with anthropogenic PM sub(2.5)-related cardiopulmonary diseases (93%) and lung cancer (7%). These estimates are smaller than ones from previous studies because we use modeled 1850 air pollution rather than a counterfactual low concentration, and because of different emissions. Uncertainty in CRFs contributes more to overall uncertainty than the spread of model results. Mortality attributed to the effects of past climate change on air quality is considerably smaller than the global burden: 1500 (-20000 to 27000) deaths yr super(-1) due to ozone and 2200 (-350000 to 140000) due to PM sub(2.5). The small multi-model means are coincidental, as there are larger ranges of results for individual models, reflected in the large uncertainties, with some models suggesting that past climate change has reduced air pollution mortality.
Increased concentrations of ozone and fine particulate matter (PM2.5) since preindustrial times reflect increased emissions, but also contributions of past climate change. Here we use modeled concentrations from an ensemble of chemistry–climate models to estimate the global burden of anthropogenic outdoor air pollution on present-day premature human mortality, and the component of that burden attributable to past climate change. Using simulated concentrations for 2000 and 1850 and concentration–response functions (CRFs), we estimate that, at present, 470 000 (95% confidence interval, 140 000 to 900 000) premature respiratory deaths are associated globally and annually with anthropogenic ozone, and 2.1 (1.3 to 3.0) million deaths with anthropogenic PM2.5-related cardiopulmonary diseases (93%) and lung cancer (7%). These estimates are smaller than ones from previous studies because we use modeled 1850 air pollution rather than a counterfactual low concentration, and because of different emissions. Uncertainty in CRFs contributes more to overall uncertainty than the spread of model results. Mortality attributed to the effects of past climate change on air quality is considerably smaller than the global burden: 1500 (−20 000 to 27 000) deaths yr−1 due to ozone and 2200 (−350 000 to 140 000) due to PM2.5. The small multi-model means are coincidental, as there are larger ranges of results for individual models, reflected in the large uncertainties, with some models suggesting that past climate change has reduced air pollution mortality.
Increased concentrations of ozone and fine particulate matter (PM2.5) since preindustrial times reflect increased emissions, but also contributions of past climate change. Here we use modeled concentrations from an ensemble of chemistry–climate models to estimate the global burden of anthropogenic outdoor air pollution on present-day premature human mortality, and the component of that burden attributable to past climate change. Using simulated concentrations for 2000 and 1850 and concentration–response functions (CRFs), we estimate that, at present, 470 000 (95% confidence interval, 140 000 to 900 000) premature respiratory deaths are associated globally and annually with anthropogenic ozone, and 2.1 (1.3 to 3.0) million deaths with anthropogenic PM2.5-related cardiopulmonary diseases (93%) and lung cancer (7%). These estimates are smaller than ones from previous studies because we use modeled 1850 air pollution rather than a counterfactual low concentration, and because of different emissions. Uncertainty in CRFs contributes more to overall uncertainty than the spread of model results. Mortality attributed to the effects of past climate change on air quality is considerably smaller than the global burden: 1500 (−20 000 to 27 000) deaths yr (exp -1) due to ozone and 2200 (−350 000 to 140 000) due to PM2.5. The small multi-model means are coincidental, as there are larger ranges of results for individual models, reflected in the large uncertainties, with some models suggesting that past climate change has reduced air pollution mortality.
Audience PUBLIC
Author Nagashima, Tatsuya
Shindell, Drew T
Horowitz, Larry W
Skeie, Ragnhild
MacKenzie, I A
Collins, William J
Josse, Beatrice
Faluvegi, Greg
Doherty, Ruth M
West, J Jason
Dalsoren, Stig
Stevenson, David S
Folberth, Gerd
Cionni, Irene
Anenberg, Susan C
Righi, Mattia
Zhang, Yuqiang
Cameron-Smith, Philip
Lamarque, Jean-François
Bergmann, Daniel
Sudo, Kengo
Plummer, David
Strode, Sarah
Takemura, Toshihiko
Eyring, Veronika
Szopa, Sophie
Silva, Raquel A
Naik, Vaishali
Zeng, Guang
Rumbold, Steven
Author_xml – sequence: 1
  givenname: Raquel A
  surname: Silva
  fullname: Silva, Raquel A
  organization: University of North Carolina Environmental Sciences and Engineering, Chapel Hill, NC 27599, USA
– sequence: 2
  givenname: J Jason
  surname: West
  fullname: West, J Jason
  email: jjwest@email.unc.edu
  organization: University of North Carolina Environmental Sciences and Engineering, Chapel Hill, NC 27599, USA
– sequence: 3
  givenname: Yuqiang
  surname: Zhang
  fullname: Zhang, Yuqiang
  organization: University of North Carolina Environmental Sciences and Engineering, Chapel Hill, NC 27599, USA
– sequence: 4
  givenname: Susan C
  surname: Anenberg
  fullname: Anenberg, Susan C
  organization: US Environmental Protection Agency , Washington, DC 20004, USA
– sequence: 5
  givenname: Jean-François
  surname: Lamarque
  fullname: Lamarque, Jean-François
  organization: National Center for Atmospheric Research NCAR Earth System Laboratory, Boulder, CO 80301, USA
– sequence: 6
  givenname: Drew T
  surname: Shindell
  fullname: Shindell, Drew T
  organization: NASA Goddard Institute for Space Studies and Columbia Earth Institute , New York, NY, USA
– sequence: 7
  givenname: William J
  surname: Collins
  fullname: Collins, William J
  organization: University of Reading Department of Meteorology, Reading, UK
– sequence: 8
  givenname: Stig
  surname: Dalsoren
  fullname: Dalsoren, Stig
  organization: Center for International Climate and Environmental Research-Oslo CICERO, Oslo, Norway
– sequence: 9
  givenname: Greg
  surname: Faluvegi
  fullname: Faluvegi, Greg
  organization: NASA Goddard Institute for Space Studies and Columbia Earth Institute , New York, NY, USA
– sequence: 10
  givenname: Gerd
  surname: Folberth
  fullname: Folberth, Gerd
  organization: Hadley Centre for Climate Prediction, Met Office , Exeter, UK
– sequence: 11
  givenname: Larry W
  surname: Horowitz
  fullname: Horowitz, Larry W
  organization: NOAA Geophysical Fluid Dynamics Laboratory , Princeton, NJ 08540, USA
– sequence: 12
  givenname: Tatsuya
  surname: Nagashima
  fullname: Nagashima, Tatsuya
  organization: National Institute for Environmental Studies , Tsukuba, Japan
– sequence: 13
  givenname: Vaishali
  surname: Naik
  fullname: Naik, Vaishali
  organization: UCAR/NOAA Geophysical Fluid Dynamics Laboratory , Princeton, NJ 08540, USA
– sequence: 14
  givenname: Steven
  surname: Rumbold
  fullname: Rumbold, Steven
  organization: Hadley Centre for Climate Prediction, Met Office , Exeter, UK
– sequence: 15
  givenname: Ragnhild
  surname: Skeie
  fullname: Skeie, Ragnhild
  organization: Center for International Climate and Environmental Research-Oslo CICERO, Oslo, Norway
– sequence: 16
  givenname: Kengo
  surname: Sudo
  fullname: Sudo, Kengo
  organization: Nagoya University Earth and Environmental Science, Graduate School of Environmental Studies, Nagoya, Japan
– sequence: 17
  givenname: Toshihiko
  surname: Takemura
  fullname: Takemura, Toshihiko
  organization: Kyushu University Research Institute for Applied Mechanics, Fukuoka, Japan
– sequence: 18
  givenname: Daniel
  surname: Bergmann
  fullname: Bergmann, Daniel
  organization: Lawrence Livermore National Laboratory , Livermore, CA, USA
– sequence: 19
  givenname: Philip
  surname: Cameron-Smith
  fullname: Cameron-Smith, Philip
  organization: Lawrence Livermore National Laboratory , Livermore, CA, USA
– sequence: 20
  givenname: Irene
  surname: Cionni
  fullname: Cionni, Irene
  organization: l'Energia e lo Sviluppo Economico Sostenibile (ENEA) Agenzia Nazionale per le Nuove Tecnologie, Bologna, Italy
– sequence: 21
  givenname: Ruth M
  surname: Doherty
  fullname: Doherty, Ruth M
  organization: University of Edinburgh School of GeoSciences, Edinburgh, UK
– sequence: 22
  givenname: Veronika
  surname: Eyring
  fullname: Eyring, Veronika
  organization: Deutsches Zentrum für Luft- und Raumfahrt (DLR) Institut für Physik der Atmosphäre , Oberpfaffenhofen, Germany
– sequence: 23
  givenname: Beatrice
  surname: Josse
  fullname: Josse, Beatrice
  organization: CNRS-Centre National de Recherches Meteorologiques, Toulouse GAME/CNRM, Meteo-France, France
– sequence: 24
  givenname: I A
  surname: MacKenzie
  fullname: MacKenzie, I A
  organization: University of Edinburgh School of GeoSciences, Edinburgh, UK
– sequence: 25
  givenname: David
  surname: Plummer
  fullname: Plummer, David
  organization: Environment Canada Canadian Centre for Climate Modeling and Analysis, Victoria, BC, Canada
– sequence: 26
  givenname: Mattia
  surname: Righi
  fullname: Righi, Mattia
  organization: Deutsches Zentrum für Luft- und Raumfahrt (DLR) Institut für Physik der Atmosphäre , Oberpfaffenhofen, Germany
– sequence: 27
  givenname: David S
  surname: Stevenson
  fullname: Stevenson, David S
  organization: University of Edinburgh School of GeoSciences, Edinburgh, UK
– sequence: 28
  givenname: Sarah
  surname: Strode
  fullname: Strode, Sarah
  organization: Universities Space Research Association , Columbia, MD, USA
– sequence: 29
  givenname: Sophie
  surname: Szopa
  fullname: Szopa, Sophie
  organization: LSCE-CEA-CNRS-UVSQ Laboratoire des Sciences du Climat et de l'Environnement, Gif-sur-Yvette, France
– sequence: 30
  givenname: Guang
  surname: Zeng
  fullname: Zeng, Guang
  organization: National Institute of Water and Atmospheric Research , Lauder, New Zealand
BackLink https://hal.science/hal-03048280$$DView record in HAL
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Issue 3
Keywords Particulate Matter
Ozone
Premature Mortality
Air Pollution
Climate Change
Human Health
premature mortality
particulate matter
air pollution
ozone
human health
climate change
Language English
License Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
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Snippet Increased concentrations of ozone and fine particulate matter (PM2.5) since preindustrial times reflect increased emissions, but also contributions of past...
Increased concentrations of ozone and fine particulate matter (PM sub(2.5)) since preindustrial times reflect increased emissions, but also contributions of...
Increased concentrations of ozone and fine particulate matter (PM _2.5 ) since preindustrial times reflect increased emissions, but also contributions of past...
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SubjectTerms Air pollution
Air quality
Anthropogenic factors
Atmospheric chemistry
Bioclimatology
Climate change
Climate effects
Climate models
Confidence intervals
Death
Ecology, environment
Environment Pollution
Estimates
Fatalities
Health
human health
Life Sciences
Lung cancer
Lung diseases
Meteorology And Climatology
Mortality
Ozone
Particulate emissions
Particulate matter
Pollution control
Premature mortality
Response functions
Santé publique et épidémiologie
Uncertainty
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Title Global premature mortality due to anthropogenic outdoor air pollution and the contribution of past climate change
URI https://iopscience.iop.org/article/10.1088/1748-9326/8/3/034005
https://ntrs.nasa.gov/citations/20180006536
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https://search.proquest.com/docview/1705086981
https://search.proquest.com/docview/1730058429
https://hal.science/hal-03048280
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Volume 8
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