Predicting saturated hydraulic conductivity from particle size distributions using machine learning
Crossref DOI link: https://doi.org/10.1007/s00477-024-02861-6
Published Online: 2025-01-19
Published Print: 2025-02
Update policy: https://doi.org/10.1007/springer_crossmark_policy
de Rijk, Valerie
Buma, Jelle
Veldkamp, Hans
Zech, Alraune
Text and Data Mining valid from 2025-01-19
Version of Record valid from 2025-01-19
Article History
Accepted: 5 November 2024
First Online: 19 January 2025
Declarations
:
: The authors declare no conflict of interest.