A comparative analysis of machine learning models for predicting groundwater and surface water in a stressed semi-arid watershed: The Khanmirza case study
Crossref DOI link: https://doi.org/10.1007/s12665-025-12801-4
Published Online: 2026-03-17
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Ebrahimzadeh, Zahra
Abdollahi, Khodayar
Bidaki, Rafat Zare
Eslamian, Saeid
Text and Data Mining valid from 2026-03-17
Version of Record valid from 2026-03-17
Article History
Received: 7 March 2025
Accepted: 25 December 2025
First Online: 17 March 2026
Declarations
:
: The authors declare no competing interests.