Morphodynamic Acceleration Techniques for Multi-Timescale Predictions of Complex Sandy Interventions

摘要: Thirty one percent (31%) of the world's coastline consists sandy beaches and dunes that form a natural defense protecting hinterland from flooding. A common measure to mitigate erosion along is implementation sand nourishments. The design acceptance such mitigating require information on expected evolution at time scales storms decades. Process-based morphodynamic models are increasingly applied, together with acceleration techniques, obtain detailed this wide scale ranges. This study shows techniques for morphological can have significant impact simulated dispersion interventions. calibrated Delft3D model Sand Engine mega-nourishment applied compare different focusing accuracy computational times. Results show using representative (schematized) wave conditions not capable accurately reproducing response in first two years. best reproduction behavior five years obtained by brute force simulations. Applying input filtering compression factor provides similar yet gain cost. An attractive method medium long scales, which further reduces costs, uses based gross longshore transports, while showing results as benchmark simulation. Erosional captured well all considered variations volumes about 1 million m3 after three spatio-temporal variability predicted alongshore cross-shore distribution however strong dependency selected technique. new technique, called 'brute merged', incorporates full climate, optimal combination phenomenological efficiency (a 20 faster than technique) both short scales. approach, combines realistic series mormerge an flexible efficiently predict complex interventions hours