First close insight into global daily gapless 1 km PM2.5 pollution, variability, and health impact

Jing Wei; Zhanqing Li; Alexei Lyapustin; Jun Wang; Oleg Dubovik; Joel Schwartz; Lin Sun; Chi Li; Song Liu; Tong Zhu

doi:10.1038/s41467-023-43862-3

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First close insight into global daily gapless 1 km PM2.5 pollution, variability, and health impact

Journal article

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First close insight into global daily gapless 1 km PM2.5 pollution, variability, and health impact

Jing Wei, Zhanqing Li, Alexei Lyapustin, Jun Wang, Oleg Dubovik, Joel Schwartz, Lin Sun, Chi Li, Song Liu and Tong Zhu

Nature communications, Vol.14(1), 8349

12/01/2023

DOI: 10.1038/s41467-023-43862-3

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Abstract

Here we retrieve global daily 1 km gapless PM2.5 concentrations via machine learning and big data, revealing its spatiotemporal variability at an exceptionally detailed level everywhere every day from 2017 to 2022, valuable for air quality monitoring, climate change, and public health studies. We find that 96%, 82%, and 53% of Earth’s populated areas are exposed to unhealthy air for at least one day, one week, and one month in 2022, respectively. Strong disparities in exposure risks and duration are exhibited between developed and developing countries, urban and rural areas, and different parts of cities. Wave-like dramatic changes in air quality are clearly seen around the world before, during, and after the COVID-19 lockdowns, as is the mortality burden linked to fluctuating air pollution events. Encouragingly, only approximately one-third of all countries return to pre-pandemic pollution levels. Many nature-induced air pollution episodes are also revealed, such as biomass burning.AI-driven daily 1-km gapless PM2.5 data reveal the dynamics of unhealthy air around the world, stark disparities exist between nations and among neighbourhoods. Drastic air quality changes are associated with implementation and lifting of lockdown policies.

Air Pollution

Air Quality

Big Data

Climate Change

Machine Learning

Public Health

Air monitoring

Biomass burning

COVID-19

Developing countries

LDCs

Outdoor air quality

Pandemics

Particulate matter

Pollution levels

Rural areas

Variability

Details

Title: Subtitle: First close insight into global daily gapless 1 km PM2.5 pollution, variability, and health impact
Creators: Jing Wei
Zhanqing Li
Alexei Lyapustin
Jun Wang
Oleg Dubovik
Joel Schwartz
Lin Sun
Chi Li
Song Liu
Tong Zhu
Resource Type: Journal article
Publication Details: Nature communications, Vol.14(1), 8349
DOI: 10.1038/s41467-023-43862-3
ISSN: 2041-1723
eISSN: 2041-1723
Publisher: Nature Publishing Group
Grant note: DOI: 10.13039/100000104, name: National Aeronautics and Space Administration, award: 80NSSC21K1980, 80NSSC21K0428
Language: English
Date published: 12/01/2023
Academic Unit: Electrical and Computer Engineering; Civil and Environmental Engineering; Iowa Technology Institute; Physics and Astronomy; Chemical and Biochemical Engineering
Record Identifier: 9984533450902771

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