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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

Published Print: 2025-12

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)

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

Scientific program of Yibin City (YBSCXY2023020006, YBSCXY2023020007)

Scientific program of Yibin City (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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