Víctor Gómez-Escalonilla (et al.)- This paper presents an approach to estimate the effects of a managed recharge experiment in a … Más
Etiqueta: Martínez Santos-P.
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
An Initial Framework for Understanding the Resilience of Aquifers to Groundwater Pumping
África de la Hera-Portillo (et al.)- Groundwater stored in aquifers experiences a wide variety of natural, induced and/or anthropogenic disturbances. … 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
Mapping Ground Water Access in Two Rural Communes of Burkina Faso
Silvia Díaz-Alcaide (et al.)- Granting safe water access worldwide is a major objective of the Sustainable Development Goals. Water access … Más
Predictive mapping of aquatic ecosystems by means of support vector machines and random forests
P. Martínez-Santos (et al.)- In a context of rapid change, mapping aquatic ecosystems is crucial for their protection, particularly in … Más
Integrating current and historical water chemistry data with long-term piezometric records to develop a regional-scale conceptual flow model: Las Salinas spring, Medina del Campo, Spain
A. De la Hera-Portillo (et al.)- Study region Old Las Salinas spring in Medina del Campo, Duero river basin, central … Más
Hydrogeochemistry of granitic mountain zones and the influence of adjacent sedimentary basins at their tectonic borders: the case of the Spanish Central System batholith
Miguel Martín-Loeches (et al.)- The hydrogeochemical characteristics of springs in the granites of the Spanish Central System (SCS), a mountain … Más
Manual Borehole Drilling as a Cost-Effective Solution for Drinking Water Access in Low-Income Contexts
Pedro Martínez-Santos (et al.)- Water access remains a challenge in rural areas of low-income countries. Manual drilling technologies have the … Más
Review: Advances in groundwater potential mapping
S. Díaz-Alcaide , P. Martínez-Santos- Groundwater resources can be expected to be increasingly relied upon in the near future, as … Más
Modelling the effects of climate change and population growth in four intensively exploited Mediterranean aquifers. The Mijas range, southern Spain
Javier Martín-Arias, Pedro Martínez-Santos, BartoloméAndreo- Groundwater is key to economic growth in the Mediterranean region. This is particularly true of … Más
Mapping Groundwater Potential Through an Ensemble of Big Data Methods
P. Martínez‐Santos, P. Renard- Groundwater resources are crucial to safe drinking supplies in sub‐Saharan Africa, and will be increasingly relied … Más