National School of Public Health, Carlos III Institute of Health, Avda. Monforte de Lemos, 5, 28029 Madrid, Spain.
Research Group on Statistics, Econometrics and Health (GRECS), University of Girona, Calle de la Universitat de Girona 10, Campus de Montilivi, 17003 Girona, Spain; Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública /CIBERESP), Avda. Monforte de Lemos, 5, Pabellón 11, Planta Baja, 28029 Madrid, Spain.
Environ Res. 2019 May;172:475-485. doi: 10.1016/j.envres.2019.02.041. Epub 2019 Feb 27.
In recent years, a number of studies have been conducted with the aim of analysing the impact that high temperatures will have on mortality over different time horizons under different climate scenarios. Very few of these studies take into account the fact that the threshold temperature used to define a heat wave will vary over time, and there are practically none which calculate this threshold temperature for each geographical area on the assumption that there will be variations at a country level.
To analyse the impact that high temperatures will have on mortality across the periods 2021-2050 and 2051-2100 under a high-emission climate scenario (RCP8.5), in a case: (a) where adaptation processes are not taken into account; and (b) where complete adaptation processes are taken into account.
Based on heat-wave definition temperature (T) values previously calculated for the reference period, 2000-2009, for each Spanish provincial capital, and their impact on daily mortality as measured by population attributable risk (PAR), the impact of high temperatures on mortality will be calculated for the above-mentioned future periods. Two hypotheses will be considered, namely: (a) that T does not vary over time (scenario without adaptation to heat); and, (b) that T does vary over time, with the percentile to which said T corresponds being assumed to remain constant (complete adaptation to heat). The temperature data were sourced from projections generated by Coupled Model Intercomparison Project (CMIP5) climate models adapted to each region's local characteristics by the State Meteorological Agency (Agencia Estatal de Meteorología/AEMET). Population-growth projections were obtained from the National Statistics Institute (Instituto Nacional de Estadística/INE). In addition, an economic estimate of the resulting impact will be drawn up.
The mean value of maximum daily temperatures will rise, in relation to those of the reference period (2000-2009), by 1.6⁰C across the period 2021-2050 and by 3.3⁰C across the period 2051-2100. In a case where there is no heat-adaptation process, overall annual mortality attributable to high temperatures in Spain would amount to 1414 deaths/year (95% CI: 1089-1771) in the period 2021-2050, rising to 12,896 deaths/year (95% CI: 9852-15,976) in the period 2051-2100. In a case where there is a heat-adaptation process, annual mortality would be 651 deaths/year (95% CI: 500-807) in the period 2021-2050, and 931 deaths per year (95% CI: 770-1081) in the period 2051-2100. These results display a high degree of heterogeneity. The savings between a situation that does envisage and one that does not envisage an adaptive process is €49,100 million/year over the 2051-2100 time horizon.
A non-linear increase in maximum daily temperatures was observed, which varies widely from some regions to others, with an increase in mean values for Spain as a whole that is not linear over time. The high degree of heterogeneity found in heat-related mortality by region and the great differences observed on considering an adaptive versus a non-adaptive process render it necessary for adaptation plans to be implemented at a regional level.
近年来,许多研究旨在分析在不同气候情景下,不同时间跨度内高温对死亡率的影响。这些研究很少考虑到用于定义热浪的阈值温度会随时间变化,而且几乎没有研究根据国家层面的变化,为每个地理区域计算这个阈值温度。
在高排放气候情景(RCP8.5)下,分析 2021-2050 年和 2051-2100 年期间高温对死亡率的影响,假设(a)不考虑适应过程;(b)完全考虑适应过程。
基于之前为参考期(2000-2009 年)计算的每个西班牙省会的热浪定义温度(T)值及其对每日死亡率的影响(归因于风险 PAR),计算上述未来时期高温对死亡率的影响。将考虑两种假设,即:(a)T 不随时间变化(没有适应高温的情况);(b)T 随时间变化,假设 T 所对应的百分位保持不变(完全适应高温)。温度数据来源于耦合模式比较计划(CMIP5)气候模型的预测,这些模型由国家气象局(Agencia Estatal de Meteorología/AEMET)根据每个地区的当地特点进行了调整。人口增长预测数据来源于国家统计局(Instituto Nacional de Estadística/INE)。此外,还将制定由此产生的经济影响的估算。
与参考期(2000-2009 年)相比,2021-2050 年期间日最高温度的平均值将上升 1.6°C,2051-2100 年期间将上升 3.3°C。在没有高温适应过程的情况下,西班牙因高温导致的总年度死亡人数将从 2021-2050 年的 1414 人(95%置信区间:1089-1771)增加到 2051-2100 年的 12896 人(95%置信区间:9852-15976)。在有高温适应过程的情况下,2021-2050 年期间的年死亡人数将为 651 人(95%置信区间:500-807),2051-2100 年期间的年死亡人数将为 931 人(95%置信区间:770-1081)。这些结果显示出高度的异质性。在 2051-2100 年的时间范围内,考虑到适应性和非适应性过程之间的差异,每年节省 4.91 亿欧元。
观察到日最高温度呈非线性增长,不同地区差异很大,西班牙整体平均温度随时间呈非线性增长。按地区划分,与热有关的死亡率的高度异质性,以及在考虑适应与非适应过程时观察到的巨大差异,使得有必要在地区层面实施适应计划。