Explanatory Machine Learning Model to Associate All-Cause Mortality with PM <sub>2.5</sub> by Sources and Components: A Nationwide Difference-in-Differences Study

differ considerably by the source sector and chemical component. Industrial black carbon exhibits higher toxicity and should be given priority when designing the air-pollution-control strategies.

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Publication Details

Journal
Environmental Science & Technology
Published
2026-04-14
DOI
https://doi.org/10.1021/acs.est.6c00976
Primary Topic
Air Quality and Health Impacts
Type
article
Field-Weighted Citation Impact
0.00

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article

Explanatory Machine Learning Model to Associate All-Cause Mortality with PM 2.5 by Sources and Components: A Nationwide Difference-in-Differences Study

Ning Kang, Tao Xue, Mingkun Tong, Hong Lu et al.
Environmental Science & Technology
Air Quality and Health Impacts
article

Explanatory Machine Learning Model to Associate All-Cause Mortality with PM 2.5 by Sources and Components: A Nationwide Difference-in-Differences Study

Ning Kang, Tao Xue, Mingkun Tong, Hong Lu, Jun Liu
article en

Abstract

differ considerably by the source sector and chemical component. Industrial black carbon exhibits higher toxicity and should be given priority when designing the air-pollution-control strategies.

Environmental Science & TechnologyVol. 60(16)
Peking University (CN), Ministry of Ecology and Environment (CN), National Health and Family Planning Commission (CN), Beijing Municipal Government (CN), National Institute of Health (AM), Ministry of Health (OM), Environmental Energy & Engineering (US), University of Science and Technology Beijing (CN)
National Natural Science Foundation of China, National Outstanding Youth Science Fund Project of National Natural Science Foundation of China
Good health and well-being
Openalex Percentile: Top 17%
Air Quality and Health Impacts
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Explanatory Machine Learning Model to Associate All-Cause Mortality with PM <sub>2.5</sub> by Sources and Components: A Nationwide Difference-in-Differences Study — Ning Kang, Tao Xue, et al. · Environmental Science & Technology (2026) | TGRS Research Map | TGRS