Suitability of different modelling strategies in predicting of solid load discharge of an alluvial river

Kiyoumars Roushangar, Farhad Alizadeh

Thursday 2 july 2015

12:48 - 12:51h at Oceania Foyer (level 0)

Themes: (T) Water resources and hydro informatics (WRHI), (ST) Surface and subsurface flow interactions, Poster pitches

Parallel session: Poster pitches: 11L. WRHI - FlowInteractions

Inaccuracies of sediment transport models largely originate from our limitation to describe the process in precise mathematical terms. Numerous models for predicting sediment transport rates have been developed over time. Nevertheless, the predictive accuracy of these models is often questionable. The transport mechanism is complex, and the deterministic transport models are based on simplifying assumptions that often lead to large prediction errors. In this study Artificial Intelligence Techniques are adopted to predicting of solid discharge input to reservoir of Shahriar dam. The ANN and ANFIS models are compared with the models due to Ackers and White, Yang, Engelund and Hansen, Toffaleti and sediment rating curve. A conclusion is reached that Artificial Intelligence Techniques approach is suitable for modeling sediment transport