Discharge Coefficient Estimation of Arched Labyrinth Weir Using Gene Expression Programming

A weir is an overflow structure that is constructed across or parallel a river or open channel flow to measure or control the discharge. Weirs may be classified based upon their shape, nature of discharge, width of crest, and nature of crest. The crest length of an arched labyrinth weir is extended by the arch and the provision of notches. In this work, gene expression programming (GEP), a substitute for the traditional regression technique, is persented to estimate the coefficient of discharge (Cd). The experimental data collected from literature has been used for training and validation of the GEP model. Utilising a set of statistical metrics, the proposed GEP models outputs for both the training and validation stages are assessed. Performance of the GEP model is compared with traditional equations-based regression model.