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Estimation Of Aquifer Transmissivity Using Kriging, Artificial Neural Network, And Neuro-Fuzzy Models
Journal of Spatial Hydrology
In interpolation of groundwater properties such as transmissivity, due to the unknown distributed values of the variables and heterogenity, the best and the unbiased aspects are frequently difficult to obtain. Therefore, applying a modern technique is necessary to obtain a real estimation of transmissivity. To gain the transmissivity values as an input data in groundwater modelling, the ordinary log kriging method has been used. In this study, the efficiency of the Adaptive Network based Fuzzy Inference System (ANFIS), artificial neural networks and ordinary kriging are investigated for interpolation of transmissivity in an unconfined aquifer. The results indicate that ANFIS model …