Hydraulic head interpolation using ANFIS-model selection and sensitivity analysis

The aim of this study is to investigate the efficiency of ANFIS (adaptive neuro fuzzy inference system) for interpolating hydraulic head in a 40-km(2) agricultural watershed of the Seine basin (France). Inputs of ANFIS are Cartesian coordinates and the elevation of the ground. Hydraulic head was measured at 73 locations during a snapshot campaign on September 2009, which characterizes low-water-flow regime in the aquifer unit. The clataset was then split into three subsets using a square-based selection method: a calibration one (55%), a training one (27%), and a test one (18%).