Case Studies

River Flood Predictions



Development of a model for river flow prediction is a fundamental problem in hydrology to inform decision making process by competent authorities to prevent and manage associated risks. NOSEM® technology was applied to the prediction of Dora Baltea river, for design the model we used the daily data gotten by the river. The prediction results were compared with other methods (neural networks and just in time predictors) normally used in literature for such applications.


Predictions obtained by NOSEM® provided good performances and good robustness versus imprecise knowledge of involved nonlinearities and noise properties. Moreover the applied method compared extremely well with respect to neural networks and just in time predictors.


# Sustainability
# Simulation and Models
# Predictions
# Non-Linear Modeling