首页> 外文期刊>International Journal of Biometeorology: Journal of the International Society of Biometeorology >Heat stress and mortality in Lisbon Part II. An assessment of the potential impacts of climate change
【24h】

Heat stress and mortality in Lisbon Part II. An assessment of the potential impacts of climate change

机译:里斯本的热应激和死亡率第二部分。评估气候变化的潜在影响

获取原文
获取原文并翻译 | 示例
       

摘要

Global environmental change, in particular climate change, will have adverse effects on public health. The increased frequency/intensity of heat waves is expected to increase heat-related mortality and illness. To quantify the climatic risks of heat-related mortality in Lisbon an empirical-statistical model was developed in Part I, based on the climate-mortality relationship of the summer months of 1980-1998. In Part II, scenarios of climate and population change are applied to the model to assess the potential impacts on public health in the 2020s and 2050s, in terms of crude heat-related mortality rates. Two regional climate models (RCMs) were used and different assumptions about seasonality, acclimatisation and the estimation of excess deaths were made in order to represent uncertainty explicitly. An exploratory Bayesian analysis was used to investigate the sensitivity of the result to input assumptions. Annual heat-related death rates are estimated to increase from between 5.4 and 6 (per 100,000) for 1980-1998 to between 5.8 and 15.1 for the 2020s. By the 2050s, the potential increase ranges from 7.3 to 35.6. The burden of deaths is decreased if acclimatisation is factored in. Through a Bayesian analysis it is shown that, for the tested variables, future heat-related mortality is most sensitive to the choice of RCM and least to the method of calculating the excess deaths.
机译:全球环境变化,特别是气候变化,将对公共卫生产生不利影响。预计热波频率/强度的增加会增加与热相关的死亡率和疾病。为了量化里斯本与热相关的死亡率的气候风险,在第一部分中,基于1980-1998年夏季气候与死亡率的关系,建立了经验统计模型。在第二部分中,将气候和人口变化的情景应用到该模型中,以与生热有关的死亡率来评估2020年代和2050年代对公共卫生的潜在影响。为了明确表示不确定性,使用了两个区域气候模型(RCM),并对季节,适应性和超额死亡人数做出了不同的假设。探索性贝叶斯分析用于调查结果对输入假设的敏感性。每年与热量有关的死亡率估计将从1980-1998年的5.4至6(每100,000)增加到2020年代的5.8至15.1。到2050年代,潜在增长范围为7.3至35.6。如果考虑到适应环境,死亡的负担会减少。通过贝叶斯分析,对于测试变量,未来与热有关的死亡率对RCM的选择最敏感,而对额外死亡的计算方法则最不敏感。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号