Author(s): Habtamu G. Tolossa; Silke Wieprecht; Matthias Schneider
Keywords: No Keywords
Abstract: Computation of sediment transport rates in natural rivers is necessary for successful implementation of sustainable projects in hydraulic engineering. There are many equations available which are derived based on probabilistic deterministic and regression approaches. Prediction errors of the existing equations are usually very high for practica applications, and show significant discrepancy from observed transport rates. There is a very large degree o uncertainty and fuzziness associated with the prediction o sediment transport. A data-driven fuzzy logic approach is a powerful alternative to model complicated processes, where computation of sediment transport is a focus area.