Within the framework of research on erosion phenomena, this internship work aims to deepen the understanding of soil erosion processes through an advanced experimental approach. It is based on improving the current capabilities of the Erosion Function Apparatus (EFA) by simultaneously integrating several measurement instruments and techniques, such as Particle Image Velocimetry (PIV), high-speed cameras, and photogrammetry. In parallel, soil characterization tests (water content, particle size distribution, Atterberg limits, etc.) will be carried out to establish a correlation between the geotechnical properties of soils and their erosion behavior. All these data will form a reference experimental database, which will later be used to develop a neural network model aimed at accelerating and automating the assessment of soil erosion risk.

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