首次近距离了解全球每日无间隙1公里的PM2.5污染,变化和健康影响
Jing Wei1, Zhanqing Li2, Alexei Lyapustin3
1Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA. weijing_rs@163.com.
Nature communications
|December 15, 2023
概括
全球每日细颗粒物 (PM2.5) 污染数据显示,人们普遍暴露在不健康的空气中. 存在显著的差异,在COVID-19封锁期间,空气质量变化明显可见.
科学领域:
- 环境科学 环境科学
- 公共卫生 公共卫生
- 数据科学数据科学数据科学
背景情况:
- 空气质量监测对于公共卫生和气候变化研究至关重要.
- 以前的数据缺乏空间时间细节,无法捕捉PM2.5.5的每日全球变化.
- 了解细颗粒物 (PM2.5) 暴露对于评估健康风险至关重要.
研究的目的:
- 通过机器学习和大数据生成全球每日1公里无间隙的PM2.5度.
- 以史无前例的分辨率揭示PM2.5的时空变异性.
- 评估人口暴露风险及其差异.
主要方法:
- 利用了机器学习算法.
- 利用大数据分析.
- 处理全球卫星数据,用于从2017年到2022年的每日PM2.5估计.
主要成果:
- 96%,82%和53%的人口居住区在2022年分别经历了至少一天,一周和一个月的不健康空气.
- 在发达国家和发展中国家,城市和农村地区之间观察到暴露风险和持续时间的显著差异.
- 在COVID-19封锁期间发现了空气质量的巨大变化,这对死亡率有影响.
- 许多国家还没有恢复到大流行前的污染水平;自然诱导的事件,如生物质燃烧也被确定.
结论:
- 高分辨率的全球PM2.5数据为空气质量和公共卫生提供了关键的见解.
- 空气污染的暴露范围广泛且分布不均,突出了环境正义问题.
- 该研究为制定空气质量管理,气候变化减缓和公共卫生干预政策提供了有价值的数据.
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