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Regional disparities in the exposure to heat-related mortality risk under 1.5 °C and 2 °C global warming

Bibliographic Data

ID15548588
AuthorsYuwen Fan (0000-0001-8767-9084, Hong Kong University of Science and Technology), Liao Pei-Syuan (National Taiwan University), Eun‐Soon Im (0000-0002-8953-7538, Hong Kong University of Science and Technology, corresponding author), Min‐Hui Lo (0000-0002-8653-143X, National Taiwan University)
Year2022
Volume17
Issue5
Pages054009-054009
Publication date2022-03-04
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEnvironmental Research Letters (JOURNAL)
Journal identifiersISSN: 1748-9326 • E-ISSN: 1748-9326
PublisherIOP Publishing (PUBLISHER • GB)
DOI10.1088/1748-9326/ac5adf
OpenAlexW4221054224
LanguageEN
Citations received2
References cited55

An increase in heat-related mortality risk has emerged to accompany the ravages of climate change, but its unambiguous assessment remains an onerous task, owing to the non-linear associations between the severity of hot temperatures and human body response. The present study assesses the future heat-related mortality risk under different levels of warming (1.5 °C vs. 2 °C) using the multi-models’ large ensemble simulations. In order to augment the robustness of the patterns for future changes in heat-related mortality risk, multiple indices representing the excess mortality risk solely attributed to higher temperature are estimated from different meteorological variables (maximum temperature, maximum wet-bulb temperature and mean temperature). The ensemble projections reveal a worldwide surge in heat-related mortality risk, albeit with a regionally diverse pattern. Although comparisons of the different indices show some quantitative differences, they provide remarkably consistent regional hotspots, thus amplifying the possible benefit of a mitigation equivalent to 0.5 °C less warming in the equatorial region. In addition to the severity of hot temperatures, the demographic changes evolving along the different shared socio-economic pathways also determine the exposure to heat-related mortality risk. Based on multiple indices and large ensemble simulations, this study contributes to the identification of regional hotspots in terms of the exposure of (the elderly) population to heat-related mortality risk, underscoring the necessity of regionally-tailored adaptation strategies

Biology · Climate change · Climatology · Economics · Environmental health · Excess mortality · Extreme heat · Geography · Global warming · Mortality rate · Population · Risk assessment · Robustness (evolution · Air Quality and Health Impacts · Climate Change and Health Impacts · Environmental Science · Global Health Care Issues · Medicine · Demography · Ecology

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Unique citing works2
Citations per year2
Citation span2025 - 2025 (1)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 2

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