TY  - JOUR
AU  - Gómez-Escalonilla Canales, Víctor
AU  - Martínez Santos, Pedro
PY  - 2024
DO  - 10.3390/hydrology11090153
UR  - https://hdl.handle.net/20.500.14352/109040
T2  - Hydrology
AB  - Groundwater contamination poses a major challenge to water supplies around the world. Assessing groundwater vulnerability is crucial to protecting human livelihoods and the environment. This research explores a machine learning-based variation of the...
LA  - eng
PB  - MDPI
KW  - Groundwater vulnerability
KW  - Artificial intelligence
KW  - DRASTIC
KW  - MLMapper
KW  - Duero
TI  - A machine learning approach to map the vulnerability of groundwater resources to agricultural contamination
TY  - journal article
VL  - 11
ER  -