Global Spatiotemporal Variation and Death Burden of Compound Heatwave and Ozone Pollution Events

人口 环境科学 环境卫生 空气污染 臭氧 污染 气候变化 超额死亡率 全球变暖 环境保护 地理 疾病负担 全球人口 人类健康 气候学 全球卫生 人口增长 死因 可归因风险 臭氧消耗 风险评估 中东 自然资源经济学 适应(眼睛) 人口健康 全球气候 基线(sea) 人口规模 公共卫生
作者
Rui Xu,Yuxin Bi,Xiaohong Jia,Yi Zheng,Nongping Feng,Sirong Wang,Lu Luo,Ziquan Lv,Suli Huang,Xue-yan Zheng,Hong Sun,Gongbo Chen,Jing Wei,Yuewei Liu
出处
期刊:Environmental Science & Technology [American Chemical Society]
卷期号:60 (11): 8404-8414
标识
DOI:10.1021/acs.est.5c17533
摘要

Heatwaves frequently coincided with ozone to form one of the most imminent health threats under global climate change. Identifying hotspots of compound heatwave and ozone pollution events (CHOEs) has crucial significance in developing targeted mitigation strategies, which is largely unknown. We therefore performed the comprehensive global and regional analyses on the spatiotemporal variation and death burden of CHOEs during 2000-2021. In addition to CHOE exposure, we estimated its population exposure through multiplying the exposure by total population. We observed that the frequency, duration, and intensity of CHOEs and their population exposures significantly increased in most midlatitudes, particularly in the Middle East and North Africa and South Asia. The population exposures increased at an accelerating pace and were mainly driven by the CHOE itself. We estimated that the death burden of CHOEs increased over time especially in the Middle East and North Africa, with a population attributable fraction of 0.99% in 2000 to 2.01% in 2021. Our findings add novel evidence that CHOEs markedly increased and posed substantial death burdens both regionally and globally in the past two decades. This evidence highlights urgent needs to develop regional targeted mitigation and adaptation actions to reduce health risks due to CHOEs, particularly in hotspots.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
裸奔的馒头完成签到,获得积分10
刚刚
2秒前
温梦花雨完成签到 ,获得积分10
3秒前
思源应助Becky采纳,获得10
3秒前
3秒前
七听应助高天雨采纳,获得30
3秒前
淏瀚发布了新的文献求助10
4秒前
今后应助Revision采纳,获得10
5秒前
lzy发布了新的文献求助30
7秒前
炙热行云完成签到,获得积分10
7秒前
Betty发布了新的文献求助30
8秒前
ml完成签到,获得积分10
10秒前
张张发布了新的文献求助10
10秒前
scanker1981完成签到,获得积分10
11秒前
丘比特应助余笑采纳,获得10
11秒前
11秒前
打打应助刻苦的乐枫采纳,获得10
12秒前
Quinn完成签到,获得积分10
13秒前
学术文献互助应助scanker1981采纳,获得100
14秒前
白桃战士完成签到,获得积分10
15秒前
15秒前
Orange应助SKD采纳,获得10
15秒前
华仔应助淏瀚采纳,获得10
16秒前
大米完成签到,获得积分20
16秒前
jessy完成签到,获得积分10
16秒前
徐志豪发布了新的文献求助10
16秒前
17秒前
17秒前
18秒前
子曰完成签到,获得积分10
19秒前
20秒前
科研通AI6.4应助熊大采纳,获得10
21秒前
22秒前
孟琳朋完成签到,获得积分10
23秒前
寒惜发布了新的文献求助10
23秒前
bkagyin应助自由绮兰采纳,获得10
24秒前
Moran发布了新的文献求助10
25秒前
Revision发布了新的文献求助10
25秒前
25秒前
牧风者也发布了新的文献求助10
26秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
An Introduction to Foreign Language Learning and Teaching 750
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Les chinois de jakarta: temples et vie collective 500
The fast track to determining transfer functions of linear circuits: The student guide 500
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7629044
求助须知:如何正确求助?哪些是违规求助? 9203683
关于积分的说明 19735338
捐赠科研通 7198782
什么是DOI,文献DOI怎么找? 3274231
关于科研通互助平台的介绍 2436403
邀请新用户注册赠送积分活动 2270340