Víctor Gómez-Escalonilla (et al.)- This paper presents an approach to estimate the effects of a managed recharge experiment in a … Más
Etiqueta: Gómez Escalonilla-V.
Identification of non-conventional groundwater resources by means of machine learning in the Aconcagua basin, Chile
M. Aliaga-Alvarado, V. Gómez-Escalonilla, P. Martínez-Santos- Study regionOur study region is the Aconcagua basin, central Chile. The catchment, home to … Más
Multiclass spatial predictions of borehole yield in southern Mali by means of machine learning classifiers
Gómez-Escalonilla, V. (et al.)- Study regionRegions of Bamako, Kati and Kangaba, southwestern Mali Study focusMachine learning-based mapping of borehole yield. … Más
Delineation of groundwater potential zones by means of ensemble tree supervised classification methods in the Eastern Lake Chad basin
Víctor Gómez-Escalonilla (et al.)- This paper presents a machine learning method to map groundwater potential in crystalline domains. First, a … Más
Preprocessing approaches in machine-learning-based groundwater potential mapping: an application to the Koulikoro and Bamako regions, Mali
Víctor Gómez-Escalonilla, Pedro Martínez-Santos, Miguel Martín-Loeches- Groundwater is crucial for domestic supplies in the Sahel, where the strategic importance of … Más
Mapping groundwater-dependent ecosystems by means of multi-layer supervised classification
P. Martínez-Santos (et al.)- Identifying groundwater-dependent ecosystems is the first step towards their protection. This paper presents a machine learning … Más