TY  - JOUR
AU  - Martínez Santos, Pedro
AU  - Gómez-Escalonilla Canales, Víctor
AU  - Díaz Alcaide, Silvia
AU  - Rodríguez del Rosario, Manuel
AU  - Aguilera Alonso, Héctor
PY  - 2025
DO  - 10.1007/s13201-025-02572-5
SN  - 2190-5487
UR  - https://hdl.handle.net/20.500.14352/123031
T2  - Applied Water Science
AB  - Groundwater is a crucial resource for humans and the environment. Protection of groundwater supplies requires tools to explore and understand the behavior of aquifers. This research presents a machine learning approach to predict groundwater levels in...
LA  - eng
PB  - Sprnger
KW  - Regression
KW  - Machine learning
KW  - Groundwater modeling
KW  - Tree algorithms
KW  - Surrogate models
KW  - Black box
TI  - A surrogate approach to model groundwater level in time and space based on tree regressors
TY  - journal article
VL  - 15
ER  -