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Machine learning-driven geochemical fingerprinting and risk characterization of mineral dust across different operational settings in El-Gedida Iron Mine, Egypt

Crossref DOI link: https://doi.org/10.1007/s10653-025-02850-w

Published Online: 2025-11-17

Published Print: 2025-12

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

Authors

Mostafa, Mouataz T.

Abdelaal, Ahmed

Osman, Madiha S M

Farhat, Hassan I.

Zakaria, Mariam Y.

Abu Elwafa, Reham Y.

Abd El-Bakey, Sahar M.
Funding

Funding for this research was provided by:

Arish University
License Information

Text and Data Mining valid from 2025-11-17

Version of Record valid from 2025-11-17
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Article History

Received: 3 August 2025

Accepted: 21 October 2025

First Online: 17 November 2025

Declarations

:

: The authors declare no competing interests.

: All authors have read, understood, and have complied as applicable with the statement on "Ethical responsibilities of Authors" as found in the Instructions for Authors.

: This article does not contain any studies on animals performed by any authors.

: No human participants were involved in this study.

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