Design of alluvial Egyptian irrigation canals using artificial neural networks method

(in lingua inglese)

In this paper, ANNs have been used for estimating stable alluvial channel dimensions. The ANN model relates hydraulic radius, wetted perimeter, and water surface slope to the channel discharge and mean bed grain size. In developing the ANN model, 311 sets of field data collected from 61 manmade irrigation canals and drains ranging from distributary canals to carriers canals were used. The ANN estimates were compared with the outputs of three existing methods, frequently used to predict Egyptian canals dimensions, based on three different statistical methods.