Open Access Green: Postprint online available 05/2025
as soon as is submitted to ZB.
Projection of mortality burden attributable to nonoptimum temperature with high spatial resolution in China.
Environ. Sci. Technol. 58, 6226–6235 (2024)
The updated climate models provide projections at a fine scale, allowing us to estimate health risks due to future warming after accounting for spatial heterogeneity. Here, we utilized an ensemble of high-resolution (25 km) climate simulations and nationwide mortality data from 306 Chinese cities to estimate death anomalies attributable to future warming. Historical estimation (1986-2014) reveals that about 15.5% [95% empirical confidence interval (eCI):13.1%, 17.6%] of deaths are attributable to nonoptimal temperature, of which heat and cold corresponded to attributable fractions of 4.1% (eCI:2.4%, 5.5%) and 11.4% (eCI:10.7%, 12.1%), respectively. Under three climate scenarios (SSP126, SSP245, and SSP585), the national average temperature was projected to increase by 1.45, 2.57, and 4.98 °C by the 2090s, respectively. The corresponding mortality fractions attributable to heat would be 6.5% (eCI:5.2%, 7.7%), 7.9% (eCI:6.3%, 9.4%), and 11.4% (eCI:9.2%, 13.3%). More than half of the attributable deaths due to future warming would occur in north China and cardiovascular mortality would increase more drastically than respiratory mortality. Our study shows that the increased heat-attributable mortality burden would outweigh the decreased cold-attributable burden even under a moderate climate change scenario across China. The results are helpful for national or local policymakers to better address the challenges of future warming.
Altmetric
Additional Metrics?
Edit extra informations
Login
Publication type
Article: Journal article
Document type
Scientific Article
Keywords
Climate Change ; Mortality Burden ; Nonoptimal Temperature; Excess Mortality; Climate; Time
ISSN (print) / ISBN
0013-936X
e-ISSN
1520-5851
Quellenangaben
Volume: 58,
Issue: 14,
Pages: 6226–6235
Publisher
ACS
Publishing Place
Washington, DC
Non-patent literature
Publications
Reviewing status
Peer reviewed
Institute(s)
Institute of Epidemiology II (EPI2)
Grants
National Natural Science Foundation of China
National Key Research and Development Program of China
Shanghai International Science and Technology Partnership Project
Shanghai Committee of Science and Technology
Alexander von Humboldt Foundation
National Key Research and Development Program of China
Shanghai International Science and Technology Partnership Project
Shanghai Committee of Science and Technology
Alexander von Humboldt Foundation