Atmospheric health burden across the century and the accelerating impact of temperature compared to pollution.


Journal

Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555

Informations de publication

Date de publication:
30 Oct 2024
Historique:
received: 30 01 2024
accepted: 16 10 2024
medline: 31 10 2024
pubmed: 31 10 2024
entrez: 31 10 2024
Statut: epublish

Résumé

Anthropogenic emissions alter atmospheric composition and therefore the climate, with implications for air pollution- and climate-related human health. Mortality attributable to air pollution and non-optimal temperature is a major concern, expected to shift under future climate change and socioeconomic scenarios. In this work, results from numerical simulations are used to assess future changes in mortality attributable to long-term exposure to both non-optimal temperature and air pollution simultaneously. Here we show that under a realistic scenario, end-of-century mortality could quadruple from present-day values to around 30 (95% confidence level:12-53) million people/year. While pollution-related mortality is projected to increase five-fold, temperature-related mortality will experience a seven-fold rise, making it a more important health risk factor than air pollution for at least 20% of the world's population. These findings highlight the urgent need to implement stronger climate policies to prevent future loss of life, outweighing the benefits of air quality improvements alone.

Identifiants

pubmed: 39477938
doi: 10.1038/s41467-024-53649-9
pii: 10.1038/s41467-024-53649-9
doi:

Substances chimiques

Air Pollutants 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

9379

Subventions

Organisme : EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020)
ID : 101057131

Informations de copyright

© 2024. The Author(s).

Références

Lelieveld, J., Evans, J., Fnais, M., Giannadaki, D. & Pozzer, A. The contribution of outdoor air pollution sources to premature mortality on a global scale. Nature 525, 367–371 (2015).
doi: 10.1038/nature15371 pubmed: 26381985
Burkart, K. G. et al. Estimating the cause-specific relative risks of non-optimal temperature on daily mortality: a two-part modelling approach applied to the Global Burden of Disease Study. Lancet 398, 685–697 (2021).
doi: 10.1016/S0140-6736(21)01700-1 pubmed: 34419204 pmcid: 8387975
Murray, C. J. L. et al. Global burden of 87 risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet 396, 1223–1249 (2020).
doi: 10.1016/S0140-6736(20)30752-2
Pozzer, A. et al. Mortality attributable to ambient air pollution: A review of global estimates. GeoHealth 7, e2022GH000711 (2023).
doi: 10.1029/2022GH000711 pubmed: 36636746 pmcid: 9828848
Fang, Y., Mauzerall, D. L., Liu, J., Fiore, A. M. & Horowitz, L. W. Impacts of 21st century climate change on global air pollution-related premature mortality. Climatic Change 121, 239–253 (2013).
doi: 10.1007/s10584-013-0847-8
Chen, K., Vicedo-Cabrera, A. M. & Dubrow, R. Projections of ambient temperature- and air pollution-related mortality burden under combined climate change and population aging scenarios: a review. Curr. Environ. Health Rep. 7, 243–255 (2020).
doi: 10.1007/s40572-020-00281-6 pubmed: 32542573
Singh, N., Singh, S. & Mall, R. in Chapter 17 - urban ecology and human health: implications of urban heat island, air pollution and climate change nexus (eds Verma, P. et al.) Urban Ecology 317–334 (Elsevier, 2020).
Ayejoto, D. A., Agbasi, J. C., Nwazelibe, V. E., Egbueri, J. C. & Alao, J. O. Understanding the connections between climate change, air pollution, and human health in africa: Insights from a literature review. J. Environ. Sci. Health, Part C. 41, 77–120 (2023).
doi: 10.1080/26896583.2023.2267332
Masson-Delmotte, V. et al. Climate change 2021: the physical science basis. Contribution of working group I to the sixth assessment report of the intergovernmental panel on climate change 2 (2021).
Weber, E., Downward, G. S., Ebi, K. L., Lucas, P. L. & van Vuuren, D. The use of environmental scenarios to project future health effects: a scoping review. Lancet Planet. Health 7, e611–e621 (2023).
doi: 10.1016/S2542-5196(23)00110-9 pubmed: 37438002
Flato, G. M. Earth system models: an overview. Wiley Interdiscip. Rev.: Clim. Change 2, 783–800 (2011).
Collins, W. J. et al. AerChemMIP: quantifying the effects of chemistry and aerosols in CMIP6. Geoscientific Model Dev. 10, 585–607 (2017).
doi: 10.5194/gmd-10-585-2017
Riahi, K. et al. The shared socioeconomic pathways and their energy, land use, and greenhouse gas emissions implications: An overview. Glob. Environ. change 42, 153–168 (2017).
doi: 10.1016/j.gloenvcha.2016.05.009
Hausfather, Z. & Peters, G. Emissions – the ’businessas usual’ story is misleading. Nature 577, 618–620 (2020).
doi: 10.1038/d41586-020-00177-3 pubmed: 31996825
Turnock, S. T. et al. Historical and future changes in air pollutants from CMIP6 models. Atmos. Chem. Phys. 20, 14547–14579 (2020).
doi: 10.5194/acp-20-14547-2020
Rummukainen, M. Changes in climate and weather extremes in the 21st century. Wiley Interdiscip. Rev.: Clim. Change 3, 115–129 (2012).
Waha, K. et al. Climate change impacts in the middle east and northern Africa (MENA) region and their implications for vulnerable population groups. Regional Environ. Change 17, 1623–1638 (2017).
doi: 10.1007/s10113-017-1144-2
Zhao, Q. et al. Global, regional, and national burden of mortality associated with non-optimal ambient temperatures from 2000 to 2019: a three-stage modelling study. Lancet Planet. Health 5, e415–e425 (2021).
doi: 10.1016/S2542-5196(21)00081-4 pubmed: 34245712
Gasparrini, A. et al. Mortality risk attributable to high and low ambient temperature: a multicountry observational study. Lancet 386, 369–375 (2015).
doi: 10.1016/S0140-6736(14)62114-0 pubmed: 26003380 pmcid: 4521077
Son, J.-Y., Liu, J. C. & Bell, M. L. Temperature-related mortality: a systematic review and investigation of effect modifiers. Environ. Res. Lett. 14, 073004 (2019).
doi: 10.1088/1748-9326/ab1cdb
Burnett, R. T., Spadaro, J. V., Garcia, G. R. & Pope, C. A. Designing health impact functions to assess marginal changes in outdoor fine particulate matter. Environ. Res. 204, 112245 (2022).
doi: 10.1016/j.envres.2021.112245 pubmed: 34687750
DeLang, M. N. et al. Mapping yearly fine resolution global surface ozone through the Bayesian maximum entropy data fusion of observations and model output for 1990-2017. Environ. Sci. Technol. 55, 4389–4398 (2021).
doi: 10.1021/acs.est.0c07742 pubmed: 33682412
Turnock, S. T., Reddington, C. L., West, J. J. & O’Connor, F. M. The air pollution human health burden in different future scenarios that involve the mitigation of near-term climate forcers, climate and land-use. Geohealth 7, e2023GH000812 (2023).
doi: 10.1029/2023GH000812 pubmed: 37593109 pmcid: 10427835
Chen, H. et al. Projections of heatwave-attributable mortality under climate change and future population scenarios in China. The Lancet Reg. Health–Western Pacific 28, 100582 (2022).
Akritidis, D. et al. Strong increase in mortality attributable to ozone pollution under a climate change and demographic scenario. Environ. Res. Lett. 19, 024041 (2024).
doi: 10.1088/1748-9326/ad2162
Rao, S. et al. Future air pollution in the shared socio-economic pathways. Glob. Environ. Change 42, 346–358 (2017).
doi: 10.1016/j.gloenvcha.2016.05.012
Silva, R. A. et al. Future global mortality from changes in air pollution attributable to climate change. nature climate change. Nat. Clim. Change 7, 647–651 (2017).
doi: 10.1038/nclimate3354
Danabasoglu, G. et al. The community earth system model version 2 (CESM2). J. Adv. Modeling Earth Syst. 12, e2019MS001916 (2020).
doi: 10.1029/2019MS001916
Gettelman, A. et al. The whole atmosphere community climate model version 6 (WACCM6). J. Geophys. Res.: Atmospheres 124, 12380–12403 (2019).
doi: 10.1029/2019JD030943
Dunne, J. P. et al. The GFDL earth system model version 4.1 (GFDL-ESM 4.1): Overall coupled model description and simulation characteristics. J. Adv. Modeling Earth Syst. 12, e2019MS002015 (2020).
doi: 10.1029/2019MS002015
Horowitz, L. W. et al. The GFDL global atmospheric chemistry-climate model AM4.1: Model description and simulation characteristics. J. Adv. Modeling Earth Syst. 12, e2019MS002032 (2020).
doi: 10.1029/2019MS002032
Yukimoto, S. et al. The Meteorological Research Institute earth system model version 2.0, MRI-ESM2. 0: Description and basic evaluation of the physical component. J. Meteorological Soc. Jpn. Ser. II 97, 931–965 (2019).
doi: 10.2151/jmsj.2019-051
Oshima, N. et al. Global and arctic effective radiative forcing of anthropogenic gases and aerosols in mri-esm2. 0. Prog. Earth Planet. Sci. 7, 1–21 (2020).
doi: 10.1186/s40645-020-00348-w
Cucchi, M. et al. WFDE5: bias-adjusted ERA5 reanalysis data for impact studies. Earth Syst. Sci. Data 12, 2097–2120 (2020).
doi: 10.5194/essd-12-2097-2020
Hajat, S., Proestos, Y., Araya-Lopez, J.-L., Economou, T. & Lelieveld, J. Current and future trends in heat-related mortality in the MENA region: a health impact assessment with bias-adjusted statistically downscaled CMIP6 (SSP-based) data and Bayesian inference. Lancet Planet. Health 7, e282–e290 (2023).
doi: 10.1016/S2542-5196(23)00045-1 pubmed: 37019569
Cannon, A. J. Selecting GCM scenarios that span the range of changes in a multimodel ensemble: Application to CMIP5 climate extremes indices. J. Clim. 28, 1260–1267 (2015).
doi: 10.1175/JCLI-D-14-00636.1
Hiebert, J., Cannon, A. J., Murdock, T., Sobie, S. & Werner, A. Climdown: Climate downscaling in r. J. Open Source Softw. 3, 360 (2018).
doi: 10.21105/joss.00360
van Donkelaar, A. et al. Monthly global estimates of fine particulate matter and their uncertainty. Environ. Sci. Technol. 55, 15287–15300 (2021).
doi: 10.1021/acs.est.1c05309 pubmed: 34724610
Tarín-Carrasco, P., Im, U., Geels, C., Palacios-Peña, L. & Jiménez-Guerrero, P. Reducing future air-pollution-related premature mortality over Europe by mitigating emissions from the energy sector: assessing an 80 % renewable energies scenario. Atmos. Chem. Phys. 22, 3945–3965 (2022).
doi: 10.5194/acp-22-3945-2022
Chen, D. et al. Framing, Context, and Methods, 147-286 (Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 2021).
Jones, B. & O’Neill, B. C. Spatially explicit global population scenarios consistent with the shared socioeconomic pathways. Environ. Res. Lett. 11, 084003 (2016).
doi: 10.1088/1748-9326/11/8/084003

Auteurs

Andrea Pozzer (A)

Atmospheric Chemistry Department, Max Planck Institute for Chemistry, Hahn-Meitner weg, Mainz, 55128, Germany. andrea.pozzer@mpic.de.
Climate and Atmosphere Research Center, The Cyprus Institute, 20 Konstantinou Kavafi Street, Nicosia, 2121, Cyprus. andrea.pozzer@mpic.de.

Brendan Steffens (B)

Atmospheric Chemistry Department, Max Planck Institute for Chemistry, Hahn-Meitner weg, Mainz, 55128, Germany.

Yiannis Proestos (Y)

Climate and Atmosphere Research Center, The Cyprus Institute, 20 Konstantinou Kavafi Street, Nicosia, 2121, Cyprus.

Jean Sciare (J)

Climate and Atmosphere Research Center, The Cyprus Institute, 20 Konstantinou Kavafi Street, Nicosia, 2121, Cyprus.

Dimitris Akritidis (D)

Atmospheric Chemistry Department, Max Planck Institute for Chemistry, Hahn-Meitner weg, Mainz, 55128, Germany.
Department of Meteorology and Climatology, School of Geology, Aristotle University of Thessaloniki, Thessaloniki, 54124, Greece.

Sourangsu Chowdhury (S)

CICERO Center for International Climate Research, Oslo, 0349, Norway.

Katrin Burkart (K)

Department of Health Metrics Sciences, University of Washington, 15th Ave NE, 3980, Seattle, 98195, WA, USA.

Sara Bacer (S)

Atmospheric Chemistry Department, Max Planck Institute for Chemistry, Hahn-Meitner weg, Mainz, 55128, Germany.

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