globalchange  > 气候变化事实与影响
DOI: 10.1289/ehp.1306954
论文题名:
Variability in Temperature-Related Mortality Projections under Climate Change
作者: Tarik Benmarhnia; 1; 2; 3 Marie-France Sottile; 4; 5 Céline Plante; 6 Allan Br; 3; 7 Barbara Casati; 4 Michel Fournier; 6; Audrey Smargiassi1; 3; 7
刊名: Environmental Health Perspectives
ISSN: 0091-7560
出版年: 2014
卷: Volume 122, 期:Issue 12
起始页码: 1293
语种: 英语
英文摘要: Background: Most studies that have assessed impacts on mortality of future temperature increases have relied on a small number of simulations and have not addressed the variability and sources of uncertainty in their mortality projections.

Objectives: We assessed the variability of temperature projections and dependent future mortality distributions, using a large panel of temperature simulations based on different climate models and emission scenarios.

Methods: We used historical data from 1990 through 2007 for Montreal, Quebec, Canada, and Poisson regression models to estimate relative risks (RR) for daily nonaccidental mortality in association with three different daily temperature metrics (mean, minimum, and maximum temperature) during June through August. To estimate future numbers of deaths attributable to ambient temperatures and the uncertainty of the estimates, we used 32 different simulations of daily temperatures for June–August 2020–2037 derived from three global climate models (GCMs) and a Canadian regional climate model with three sets of RRs (one based on the observed historical data, and two on bootstrap samples that generated the 95% CI of the attributable number (AN) of deaths). We then used analysis of covariance to evaluate the influence of the simulation, the projected year, and the sets of RRs used to derive the attributable numbers of deaths.

Results: We found that < 1% of the variability in the distributions of simulated temperature for June–August of 2020–2037 was explained by differences among the simulations. Estimated ANs for 2020–2037 ranged from 34 to 174 per summer (i.e., June–August). Most of the variability in mortality projections (38%) was related to the temperature–mortality RR used to estimate the ANs.

Conclusions: The choice of the RR estimate for the association between temperature and mortality may be important to reduce uncertainty in mortality projections.
URL: https://ehp.niehs.nih.gov/1306954
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/12889
Appears in Collections:气候变化事实与影响
气候变化与战略

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作者单位: 1Département de santé environnementale et santé au travail (DSEST), Université de Montréal, Montréal, Québec, Canada; 2EHESP School of Public Health (École des hautes études en santé publique), Rennes, Sorbonne-Paris Cité, Rennes, France; 3Chaire sur la pollution de l’air, les changements climatiques et la santé, DSEST, Université de Montréal, Montréal, Québec, Canada; 4Consortium Ouranos, Montréal, Québec, Canada; 5Ministère du Développement durable, de l’Environnement et des Parcs, Québec, Canada; 6Direction de santé publique de l’Agence de la santé et des services sociaux de Montréal, Québec, Canada; 7Institut National de Santé Publique du Québec, Montréal, Québec, Canada

Recommended Citation:
Tarik Benmarhnia,1,2,et al. Variability in Temperature-Related Mortality Projections under Climate Change[J]. Environmental Health Perspectives,2014-01-01,Volume 122(Issue 12):1293
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