Integration of artificial neural networks into TELEMAC-MASCARET system, new concepts for hydromorphodynamic modeling

摘要

In this study, two new calculation schemes were proposed for hydromorphological changes in fluvial rivers, where artificial neural network (ANN) models have been integrated into a hydromorphological model system. For this purpose, the open-source finite-element system TELEMAC-MASCARET has been applied to simulate two complex hydro-morphological models including the evolution of a 3D isolated bump in a straight channel and the evolution of the bed in a 180 degrees channel bend. The simulated results were used as input-data in ANN models to obtain ANN-based approximator for the new proposed schemes. The novelty of the proposed models is that they reduced the computation costs significantly in the prediction of both hydrodynamics variables and morphodynamics. To evaluate the prediction qualities of the proposed models, a comparative study has been carried out for these models by estimating several parameters that describe the errors associated with the model in terms of statistical measures of goodness-of-fit between the estimated bed change and TELEMAC-MASCARET simulation.