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Integrated experimental and machine learning analysis for modeling desorption attenuation of petroleum hydrocarbon in soils with varying particle sizes

Crossref DOI link: https://doi.org/10.1007/s11368-026-04318-5

Published Online: 2026-03-27

Published Print: 2026-04

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

Authors

Ammar, Ali

Akram, Waseem

Zhang, Yanmeng

Liao, Zhangjiu

Zhang, Yanfeng https://orcid.org/0009-0007-2486-6772
Zhu, Lingyan
Funding

Funding for this research was provided by:

Ministry of Science and Technology of the People's Republic of China (2024YFC3713203)

Ministry of Science and Technology of the People's Republic of China (2022YFC3703202)
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Text and Data Mining valid from 2026-03-27

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Article History

Received: 26 September 2025

Accepted: 16 March 2026

First Online: 27 March 2026

Declarations

:

: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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