The synergistic effect of high temperature and relative humidity on non-accidental deaths at different urbanization levels

相对湿度 湿度 城市化 表观温度 环境科学 湿球球温度 偶然的 人口学 地理 气象学 生物 生态学 物理 声学 社会学
作者
Y. Bu,Zhaobin Sun,Tao Yan,Xiuge Zhao,Yuxin Zhao,Yinglin Liang,Xiaoyi Hang,Ling Han
出处
期刊:Science of The Total Environment [Elsevier BV]
卷期号:940: 173612-173612
标识
DOI:10.1016/j.scitotenv.2024.173612
摘要

Numerous studies have examined the impact of temperature on mortality, yet research on the combined effect of temperature and humidity on non-accidental deaths remains limited. This study investigates the synergistic impact of high temperature and humidity on non-accidental deaths in China, assessing the influence of urban development and urbanization level. Utilizing the distributed lag nonlinear model (DLNM) of quasi-Poisson regression, we analyzed the relationship between Wet Bulb Globe Temperature (WBGT) and non-accidental deaths in 30 Chinese cities from 2010 to 2016, including Guangzhou during 2012-2016. We stratified temperature and humidity across these cities to evaluate the influence of varying humidity levels on deaths under high temperatures. Then, we graded the duration of heat and humidity in these cities to assess the impact of deaths with different durations. Additionally, the cities were categorized based on gross domestic product (GDP), and a vulnerability index was calculated to examine the impact of urban development and urbanization level on non-accidental deaths. Our findings reveal a pronounced synergistic effect of high temperature and humidity on non-accidental deaths, particularly at elevated humidity levels. The synergies of high temperature and humidity are extremely complex. Moreover, the longer the duration of high temperature and humidity, the higher the risk of non-accidental death. Furthermore, areas with higher urbanization exhibited lower relative risks (RR) associated with the synergistic effects of heat and humidity. Consequently, it is imperative to focus on damp-heat related mortality among vulnerable populations in less developed regions.
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