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Quantifying contributions of anthropogenic emissions and meteorology to ozone trends in the Pearl River Delta (2015–2024): insights from interpretable machine learning

Crossref DOI link: https://doi.org/10.1007/s11869-026-02029-x

Published Online: 2026-06-03

Published Print: 2026-06

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Wang, Liuming

Li, Guangzong

Liu, Xiaoyong

Luo, Yinhao

Zhan, Mingjin https://orcid.org/0000-0002-3757-2307
Funding

Funding for this research was provided by:

China Meteorological Administration (No. CMA2024QN15)
License Information

Text and Data Mining valid from 2026-06-01

Version of Record valid from 2026-06-01
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Article History

Received: 9 March 2026

Accepted: 26 May 2026

First Online: 3 June 2026

Declarations

:

: The authors declared no potential conflicts of interest with respect to the research, authorship, or publication of this article.

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