Cross-shore sediment transport estimation using fuzzy inference system in the swash zone

Abstract

The interactions between fluid and sediment in the swash zone dominate the erosion or accretion of the beach, and they act as boundary conditions for nearshore hydrodynamic and morphodynamic models. Thus, the evaluation of sediment transport is of particular importance for many coastal processes and the design of coastal structures. In this paper, unlike conventional approaches, Fuzzy Inference System (FIS) and Adaptive-Network-Based Fuzzy Inference System (ANFIS) methods are used for the prediction and simulation of cross-shore sediment transport in the swash zone. The ANFIS and FIS are established using the free stream velocity time series, Shields parameter and antecedent cross-shore sediment transport of the available swash experimental data. Statistical measures were used to evaluate the performance of the models. Numerical experiments showed that the neuro-fuzzy approach provided satisfactory predictions in sediment transport modeling without incorporating different multipliers for uprush and backwash. Furthermore, the numerical results revealed that the ANFIS-based predictions are slightly superior to the FIS-based predictions.