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Using positive matrix factorization, sensitivity analysis, and machine learning models to identify hydrochemical processes and predict groundwater quality in a typical metropolitan city

Crossref DOI link: https://doi.org/10.1007/s00477-025-03065-2

Published Online: 2025-09-29

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

Authors

Xie, Zhan

Huang, Jinhang

Wei, Denghui

Wang, Yangshuang

Chen, Si

Yang, Shiming

Zhang, Xingjun

Yang, Chang

Li, Junyi

Zhang, Yunhui
Funding

Funding for this research was provided by:

Sichuan Provincial Science and Technology Support Program (2025YFHZ0269, 2025ZNSFSC0307, 2025YFHZ0269, 2025ZNSFSC0307)

Scientific program of Yibin City (YBSCXY2023020006, YBSCXY2023020007, YBSCXY2023020006, YBSCXY2023020007)
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Text and Data Mining valid from 2025-09-29

Version of Record valid from 2025-09-29
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Article History

Accepted: 17 July 2025

First Online: 29 September 2025

Declarations

:

: The authors declare no competing interests.

: This paper does not address ethical issues.

: All authors agreed to participate in this paper.

: All authors approved the final manuscript and the submission to this journal.

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