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Modification Effects of Population Expansion, Ageing, and Adaptation on Heat-Related Mortality Risks Under Different Climate Change Scenarios in Guangzhou, China

(1) Background: Although the health effects of future climate change have been examined in previous studies, few have considered additive impacts of population expansion, ageing, and adaptation. We aimed to quantify the future heat-related years of life lost (YLLs) under different Representative Con...

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Autores principales: Liu, Tao, Ren, Zhoupeng, Zhang, Yonghui, Feng, Baixiang, Lin, Hualiang, Xiao, Jianpeng, Zeng, Weilin, Li, Xing, Li, Zhihao, Rutherford, Shannon, Xu, Yanjun, Lin, Shao, Nasca, Philip C., Du, Yaodong, Wang, Jinfeng, Huang, Cunrui, Jia, Peng, Ma, Wenjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6388188/
https://www.ncbi.nlm.nih.gov/pubmed/30699991
http://dx.doi.org/10.3390/ijerph16030376
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author Liu, Tao
Ren, Zhoupeng
Zhang, Yonghui
Feng, Baixiang
Lin, Hualiang
Xiao, Jianpeng
Zeng, Weilin
Li, Xing
Li, Zhihao
Rutherford, Shannon
Xu, Yanjun
Lin, Shao
Nasca, Philip C.
Du, Yaodong
Wang, Jinfeng
Huang, Cunrui
Jia, Peng
Ma, Wenjun
author_facet Liu, Tao
Ren, Zhoupeng
Zhang, Yonghui
Feng, Baixiang
Lin, Hualiang
Xiao, Jianpeng
Zeng, Weilin
Li, Xing
Li, Zhihao
Rutherford, Shannon
Xu, Yanjun
Lin, Shao
Nasca, Philip C.
Du, Yaodong
Wang, Jinfeng
Huang, Cunrui
Jia, Peng
Ma, Wenjun
author_sort Liu, Tao
collection PubMed
description (1) Background: Although the health effects of future climate change have been examined in previous studies, few have considered additive impacts of population expansion, ageing, and adaptation. We aimed to quantify the future heat-related years of life lost (YLLs) under different Representative Concentration Pathways (RCP) scenarios and global-scale General Circulation Models (GCMs), and further to examine relative contributions of population expansion, ageing, and adaptation on these projections. (2) Methods: We used downscaled and bias-corrected projections of daily temperature from 27 GCMs under RCP2.6, 4.5, and 8.5 scenarios to quantify the potential annual heat-related YLLs in Guangzhou, China in the 2030s, 2060s, and 2090s, compared to those in the 1980s as a baseline. We also explored the modification effects of a range of population expansion, ageing, and adaptation scenarios on the heat-related YLLs. (3) Results: Global warming, particularly under the RCP8.5 scenario, would lead to a substantial increase in the heat-related YLLs in the 2030s, 2060s, and 2090s for the majority of the GCMs. For the total population, the annual heat-related YLLs under the RCP8.5 in the 2030s, 2060s, and 2090s were 2.2, 7.0, and 11.4 thousand, respectively. The heat effects would be significantly exacerbated by rapid population expansion and ageing. However, substantial heat-related YLLs could be counteracted by the increased adaptation (75% for the total population and 20% for the elderly). (4) Conclusions: The rapid population expansion and ageing coinciding with climate change may present an important health challenge in China, which, however, could be partially counteracted by the increased adaptation of individuals.
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spelling pubmed-63881882019-02-27 Modification Effects of Population Expansion, Ageing, and Adaptation on Heat-Related Mortality Risks Under Different Climate Change Scenarios in Guangzhou, China Liu, Tao Ren, Zhoupeng Zhang, Yonghui Feng, Baixiang Lin, Hualiang Xiao, Jianpeng Zeng, Weilin Li, Xing Li, Zhihao Rutherford, Shannon Xu, Yanjun Lin, Shao Nasca, Philip C. Du, Yaodong Wang, Jinfeng Huang, Cunrui Jia, Peng Ma, Wenjun Int J Environ Res Public Health Article (1) Background: Although the health effects of future climate change have been examined in previous studies, few have considered additive impacts of population expansion, ageing, and adaptation. We aimed to quantify the future heat-related years of life lost (YLLs) under different Representative Concentration Pathways (RCP) scenarios and global-scale General Circulation Models (GCMs), and further to examine relative contributions of population expansion, ageing, and adaptation on these projections. (2) Methods: We used downscaled and bias-corrected projections of daily temperature from 27 GCMs under RCP2.6, 4.5, and 8.5 scenarios to quantify the potential annual heat-related YLLs in Guangzhou, China in the 2030s, 2060s, and 2090s, compared to those in the 1980s as a baseline. We also explored the modification effects of a range of population expansion, ageing, and adaptation scenarios on the heat-related YLLs. (3) Results: Global warming, particularly under the RCP8.5 scenario, would lead to a substantial increase in the heat-related YLLs in the 2030s, 2060s, and 2090s for the majority of the GCMs. For the total population, the annual heat-related YLLs under the RCP8.5 in the 2030s, 2060s, and 2090s were 2.2, 7.0, and 11.4 thousand, respectively. The heat effects would be significantly exacerbated by rapid population expansion and ageing. However, substantial heat-related YLLs could be counteracted by the increased adaptation (75% for the total population and 20% for the elderly). (4) Conclusions: The rapid population expansion and ageing coinciding with climate change may present an important health challenge in China, which, however, could be partially counteracted by the increased adaptation of individuals. MDPI 2019-01-29 2019-02 /pmc/articles/PMC6388188/ /pubmed/30699991 http://dx.doi.org/10.3390/ijerph16030376 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Liu, Tao
Ren, Zhoupeng
Zhang, Yonghui
Feng, Baixiang
Lin, Hualiang
Xiao, Jianpeng
Zeng, Weilin
Li, Xing
Li, Zhihao
Rutherford, Shannon
Xu, Yanjun
Lin, Shao
Nasca, Philip C.
Du, Yaodong
Wang, Jinfeng
Huang, Cunrui
Jia, Peng
Ma, Wenjun
Modification Effects of Population Expansion, Ageing, and Adaptation on Heat-Related Mortality Risks Under Different Climate Change Scenarios in Guangzhou, China
title Modification Effects of Population Expansion, Ageing, and Adaptation on Heat-Related Mortality Risks Under Different Climate Change Scenarios in Guangzhou, China
title_full Modification Effects of Population Expansion, Ageing, and Adaptation on Heat-Related Mortality Risks Under Different Climate Change Scenarios in Guangzhou, China
title_fullStr Modification Effects of Population Expansion, Ageing, and Adaptation on Heat-Related Mortality Risks Under Different Climate Change Scenarios in Guangzhou, China
title_full_unstemmed Modification Effects of Population Expansion, Ageing, and Adaptation on Heat-Related Mortality Risks Under Different Climate Change Scenarios in Guangzhou, China
title_short Modification Effects of Population Expansion, Ageing, and Adaptation on Heat-Related Mortality Risks Under Different Climate Change Scenarios in Guangzhou, China
title_sort modification effects of population expansion, ageing, and adaptation on heat-related mortality risks under different climate change scenarios in guangzhou, china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6388188/
https://www.ncbi.nlm.nih.gov/pubmed/30699991
http://dx.doi.org/10.3390/ijerph16030376
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