Department of Geography, Kent State University, Kent, OH 44242, USA.
Department of Political Science and Geography, Old Dominion University, Norfolk, VA 23529, USA.
Int J Environ Res Public Health. 2019 Apr 27;16(9):1493. doi: 10.3390/ijerph16091493.
While the impact of absolute extreme temperatures on human health has been amply studied, far less attention has been given to relative temperature extremes, that is, events that are highly unusual for the time of year but not necessarily extreme relative to a location's overall climate. In this research, we use a recently defined extreme temperature event metric to define absolute extreme heat events (EHE) and extreme cold events (ECE) using absolute thresholds, and relative extreme heat events (REHE) and relative extreme cold events (RECE) using relative thresholds. All-cause mortality outcomes using a distributed lag nonlinear model are evaluated for the largest 51 metropolitan areas in the US for the period 1975-2010. Both the immediate impacts and the cumulative 20-day impacts are assessed for each of the extreme temperature event types. The 51 metropolitan areas were then grouped into 8 regions for meta-analysis. For heat events, the greatest mortality increases occur with a 0-day lag, with the subsequent days showing below-expected mortality (harvesting) that decreases the overall cumulative impact. For EHE, increases in mortality are still statistically significant when examined over 20 days. For REHE, it appears as though the day-0 increase in mortality is short-term displacement. For cold events, both relative and absolute, there is little mortality increase on day 0, but the impacts increase on subsequent days. Cumulative impacts are statistically significant at more than half of the stations for both ECE and RECE. The response to absolute ECE is strongest, but is also significant when using RECE across several southern locations, suggesting that there may be a lack of acclimatization, increasing mortality in relative cold events both early and late in winter.
虽然绝对极端温度对人类健康的影响已经得到了充分的研究,但相对极端温度的影响却很少受到关注,即那些对一年中的时间来说非常不寻常但相对于一个地区的整体气候来说并不一定极端的事件。在这项研究中,我们使用最近定义的极端温度事件指标,使用绝对阈值来定义绝对极端高温事件(EHE)和极端低温事件(ECE),并使用相对阈值来定义相对极端高温事件(REHE)和相对极端低温事件(RECE)。使用分布式滞后非线性模型评估了 1975 年至 2010 年期间美国最大的 51 个大都市区的全因死亡率结果。评估了每种极端温度事件类型的即时影响和累积 20 天影响。然后将 51 个大都市区分为 8 个区域进行荟萃分析。对于高温事件,最大的死亡率增加发生在 0 天滞后,随后的几天显示出低于预期的死亡率(收获),从而降低了整体累积影响。对于 EHE,在 20 天内检查时,死亡率的增加仍然具有统计学意义。对于 REHE,似乎第 0 天死亡率的增加是短期的转移。对于寒冷事件,无论是相对还是绝对的,第 0 天的死亡率几乎没有增加,但随后几天的影响增加。在超过一半的站点,ECE 和 RECE 的累积影响具有统计学意义。绝对 ECE 的反应最强,但在南部的几个地点使用 RECE 时也具有统计学意义,这表明可能存在缺乏适应的情况,导致相对寒冷事件中早期和晚期的死亡率增加。