Forecasting the seepage loss for lined and un-lined canals using artificial neural network and gene expression programming

Canal lining is customarily used to raise water-use effectiveness and reduce seepage loss. The major water losses in an irrigation channel are due leakage evaporation. Egyptian General Integrated Management for Water Resources Irrigation introduced a proposal the Al-Hagar canal based on these losses. This study investigates effect of flow characteristics, compares before after introducing lining. Additionally, it discusses most common type loss, namely, seepage. Fieldwork was conducted canal, Al-Saff Center, South Helwan city, Egypt. result revealed that discharge approximately 1.362–1.573 times greater than un-lined section. were 38.736% when but decreased 29.253% lined. conveyance which 61.26%, increased 70.75% entire lined, means 9.483% improvement conveyance. New relations using Artificial Neural Network Gene Expression Programming forecast loss lined as function Manning’s coefficient, Froude number hydraulic radius. consequences better GEP program ANN canals. value determination coefficient 0.98, Correlation factor 0.99, RMSE 0.0017 canals 1, 0.0003