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Implications for workability and survivability in populations exposed to extreme heat under climate change: a modelling study

BACKGROUND: Changes in temperature and humidity due to climate change affect living and working conditions. An understanding of the effects of different global temperature changes on population health is needed to inform the continued implementation of the Paris Climate Agreement and to increase glo...

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Autores principales: Andrews, Oliver, Le Quéré, Corinne, Kjellstrom, Tord, Lemke, Bruno, Haines, Andy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6358125/
https://www.ncbi.nlm.nih.gov/pubmed/30526940
http://dx.doi.org/10.1016/S2542-5196(18)30240-7
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author Andrews, Oliver
Le Quéré, Corinne
Kjellstrom, Tord
Lemke, Bruno
Haines, Andy
author_facet Andrews, Oliver
Le Quéré, Corinne
Kjellstrom, Tord
Lemke, Bruno
Haines, Andy
author_sort Andrews, Oliver
collection PubMed
description BACKGROUND: Changes in temperature and humidity due to climate change affect living and working conditions. An understanding of the effects of different global temperature changes on population health is needed to inform the continued implementation of the Paris Climate Agreement and to increase global ambitions for greater cuts in emissions. By use of historical and projected climate conditions, we aimed to investigate the effects of climate change on workability (ie, the ability to work) and survivability (the ability to survive). METHODS: In this modelling study, we estimated the changes in populations exposed to excessive heat stress between the recent past (ie, 1986–2005) and 2100. We used climate data from four models to calculate the wet-bulb globe temperature, an established heat exposure index that can be used to assess the effects of temperature, humidity, and other environmental factors on humans. We defined and applied thresholds for risks to workability (where the monthly mean of daily maximum wet-bulb globe temperature exceeds 34°C) and survivability (where the maximum daily wet-bulb globe temperature exceeds 40°C for 3 consecutive days), and we used population projections to quantify changes in risk associated with different changes to the global temperature. FINDINGS: The risks to workability increase substantially with global mean surface temperature in all four climate models, with approximately 1 billion people affected globally after an increase in the global temperature of about 2·5°C above pre-industrial levels. There is greater variability between climate models for exposures above the threshold for risks to survivability than for risks to workability. The number of people who are likely to be exposed to heat stress exceeding the survivability threshold increases with global temperature change, to reach around 20 million people globally after an increase of about 2·5°C, estimated from the median of the models, but with a large model uncertainty. More people are likely to be exposed to heat stress in urban than in rural areas. Population exposure can fluctuate over time and change substantially within one decade. INTERPRETATION: Exposure to excessive heat stress is projected to be widespread in tropical or subtropical low-income and middle-income countries, highlighting the need to build on the Paris Agreement regarding global temperature targets, to protect populations who have contributed little to greenhouse gas emissions. The non-linear dependency of heat exposure risk on temperature highlights the importance of understanding thresholds in coupled human-climate systems. FUNDING: Wellcome Trust.
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spelling pubmed-63581252019-02-08 Implications for workability and survivability in populations exposed to extreme heat under climate change: a modelling study Andrews, Oliver Le Quéré, Corinne Kjellstrom, Tord Lemke, Bruno Haines, Andy Lancet Planet Health Article BACKGROUND: Changes in temperature and humidity due to climate change affect living and working conditions. An understanding of the effects of different global temperature changes on population health is needed to inform the continued implementation of the Paris Climate Agreement and to increase global ambitions for greater cuts in emissions. By use of historical and projected climate conditions, we aimed to investigate the effects of climate change on workability (ie, the ability to work) and survivability (the ability to survive). METHODS: In this modelling study, we estimated the changes in populations exposed to excessive heat stress between the recent past (ie, 1986–2005) and 2100. We used climate data from four models to calculate the wet-bulb globe temperature, an established heat exposure index that can be used to assess the effects of temperature, humidity, and other environmental factors on humans. We defined and applied thresholds for risks to workability (where the monthly mean of daily maximum wet-bulb globe temperature exceeds 34°C) and survivability (where the maximum daily wet-bulb globe temperature exceeds 40°C for 3 consecutive days), and we used population projections to quantify changes in risk associated with different changes to the global temperature. FINDINGS: The risks to workability increase substantially with global mean surface temperature in all four climate models, with approximately 1 billion people affected globally after an increase in the global temperature of about 2·5°C above pre-industrial levels. There is greater variability between climate models for exposures above the threshold for risks to survivability than for risks to workability. The number of people who are likely to be exposed to heat stress exceeding the survivability threshold increases with global temperature change, to reach around 20 million people globally after an increase of about 2·5°C, estimated from the median of the models, but with a large model uncertainty. More people are likely to be exposed to heat stress in urban than in rural areas. Population exposure can fluctuate over time and change substantially within one decade. INTERPRETATION: Exposure to excessive heat stress is projected to be widespread in tropical or subtropical low-income and middle-income countries, highlighting the need to build on the Paris Agreement regarding global temperature targets, to protect populations who have contributed little to greenhouse gas emissions. The non-linear dependency of heat exposure risk on temperature highlights the importance of understanding thresholds in coupled human-climate systems. FUNDING: Wellcome Trust. Elsevier B.V 2018-12 /pmc/articles/PMC6358125/ /pubmed/30526940 http://dx.doi.org/10.1016/S2542-5196(18)30240-7 Text en © 2018 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Andrews, Oliver
Le Quéré, Corinne
Kjellstrom, Tord
Lemke, Bruno
Haines, Andy
Implications for workability and survivability in populations exposed to extreme heat under climate change: a modelling study
title Implications for workability and survivability in populations exposed to extreme heat under climate change: a modelling study
title_full Implications for workability and survivability in populations exposed to extreme heat under climate change: a modelling study
title_fullStr Implications for workability and survivability in populations exposed to extreme heat under climate change: a modelling study
title_full_unstemmed Implications for workability and survivability in populations exposed to extreme heat under climate change: a modelling study
title_short Implications for workability and survivability in populations exposed to extreme heat under climate change: a modelling study
title_sort implications for workability and survivability in populations exposed to extreme heat under climate change: a modelling study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6358125/
https://www.ncbi.nlm.nih.gov/pubmed/30526940
http://dx.doi.org/10.1016/S2542-5196(18)30240-7
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