SMODERP2D - Distributed event-based model for surface and subsurface runoff and erosion
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Updated
Apr 13, 2026 - Python
SMODERP2D - Distributed event-based model for surface and subsurface runoff and erosion
The fingR package is designed to support sediment source fingerprinting studies: dataset characterisation, tracer selection from analysed properties using the three-step method, modelling of source contributions using the Bayesian Mixing Model (BMM), and evaluation of model predictions using virtual mixtures, and it supports BMM and MixSIAR models.
A Python-based Decision Support System (DSS) that predicts soil erosion risk in tons/hectare using Multiple Linear Regression on rainfall and slope data, with automated risk classification and engineering recommendations. Built for Ghanaian terrain.
Página web orientada a la muestra de la evolución de la erosión del suelo en la región de Piura,Perú.
Customisable Tools to Calculate Precipitation Event Rainfall Erosivity Index
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