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Analysis of the hydrogeochemical characteristics of groundwater and identification of pollution sources in facility agriculture areas using self-organizing neural networks

Crossref DOI link: https://doi.org/10.1007/s12665-025-12114-6

Published Online: 2025-03-10

Published Print: 2025-03

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

Authors

Liu, Hui

Hu, Xiaonong

Zhu, Henghua

Xing, Liting

Han, Zhong

Hu, Kai

Wang, Xinze

Huang, Linxian
Funding

Funding for this research was provided by:

project of Jinan Science and Technology Bureau (2021GXRC070)

the National Natural Science Foundation of China (42272288)

supported by Shandong Provincial Natural Science Foundation (ZR2024MD009)

Key Research & Development Program of Shandong Province (2024CXGC010912)
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Text and Data Mining valid from 2025-03-01

Version of Record valid from 2025-03-01
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Article History

Received: 30 September 2024

Accepted: 23 January 2025

First Online: 10 March 2025

Declarations

:

: The authors declare that there are no conflicts of interest.

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