TY  - JOUR
AU  - Gómez-Escalonilla Canales, Víctor
AU  - Montero González, Esperanza
AU  - Díaz Alcaide, Silvia
AU  - Martín Loeches, Miguel Martín
AU  - Rodríguez del Rosario, M.
AU  - Martínez Santos, Pedro
PY  - 2024
DO  - 10.1007/s13201-024-02320-1
SN  - 2190-5487
UR  - https://hdl.handle.net/20.500.14352/119301
T2  - Applied Water Science
AB  - Effective monitoring of groundwater contamination is crucial to protect human livelihoods and ecosystems. This paper presents a machine learning-based approach to improve groundwater monitoring networks by providing predictions of groundwater...
LA  - eng
PB  - Springer
KW  - Aquifer
KW  - Contamination
KW  - Artifcial intelligence
KW  - Machine learning
KW  - MLMapper
KW  - Extra trees algorithm
KW  - GIS
TI  - A machine learning approach to site groundwater contamination monitoring wells
TY  - journal article
VL  - 14
ER  -