Causal-inference machine learning reveals the drivers of China's 2022 ozone rebound

Causal-inference machine learning reveals the drivers of China's 2022 ozone rebound

Ground-level ozone concentrations rebounded significantly across China in 2022, challenging air quality management and public health. Identifying the drivers of this rebound is crucial for designing effective mitigation strategies. Commonly used methods, such as chemical transport models and machine...

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Bibliographic Details
Main Authors: Lin Wang, Baihua Chen, Jingyi Ouyang, Yanshu Mu, Ling Zhen, Lin Yang, Wei Xu, Lina Tang
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Environmental Science and Ecotechnology
Subjects:
Ground-level ozone
Interpretable machine learning
Causal forest
Ozone rebound
Online Access:http://www.sciencedirect.com/science/article/pii/S266649842500002X
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