The main goal of machine learning is the creation of self-learning algorithms in many areas
of human activity. It allows a replacement of a person with artificial intelligence in seeking to …

Hydrological forecasting plays a crucial role in mitigating flood risks and managing water
resources. Data-driven hydrological models demonstrate exceptional fitting capabilities and …

Abstract Study Region: The present study was conducted in 24 watersheds located in the
region of Galicia, in the northwest of Spain, covering an extension of approximately 13,000 …

Distributed hydrological models based on shallow water equations have gained popularity
in recent years for the simulation of storm events, due to their robust and physically based …

Accurate hourly streamflow prediction is crucial for managing water resources, particularly in
smaller basins with short response times. This study evaluates six deep learning (DL) …

The study area is in a subtropical semi-arid climatic zone, where people suffer due to the low
availability of surface and subsurface water. Hence, advanced mathematical modeling for …

ABSTRACT Landsat-9 Panchromatic (PAN) band images are 7 times finer than land surface
temperature (LST) photos of the Thermal Infrared (TIR) band. PAN bands have superior …

The expected change in rainfall patterns and the increase in evapotranspiration due to
climate change leads to earlier droughts, which aggravate water shortages. To ensure the …

Se estima que en España hay alrededor de 70.000 balsas. Según la legislación vigente,
usuarios y administraciones tienen la obligación de clasificarlas en función del riesgo …