Predicting groundwater level fluctuations with meteorological effect implications-A comparative study among soft computing techniques

► We predict water table depth fluctuations by using genetic programming (GEP). ► GEP results are compared with neuro-fuzzy (ANFIS) and neural networks (NN) methods. ► Comparison results show that the GEP models perform better than the other models. ► The precipitation is found to be an effective variable on water table depth.