ESTIMATION OF REPRESENTATIVE GROUNDWATER HYDROGRAPH USING FUZZY CALCULATIONS AND KRIGING ALGORITHM

Preparing representative groundwater hydrograph (RGH) is an important and effective step in estimation of the storage capacity and groundwater budget as well as the optimum management of water resources in an aquifer. Now, in Iran, RGH is calculated using classical Thiessen polygon method (TPM) whereas the interpolation methods with higher precision are available. This study compares the results of TPM, usual Kriging and fuzzy Kriging methods to explore their precision in estimating the groundwater unit hydrograph. For this goal, Gillan plain characteristics by high resolution and dense piezometric network are examined. In our presented approach, uncertainty of data along with the usual Kriging method is modeled by fuzzy calculations. The results indicate that fuzzy Kriging has a greater precision in comparison with usual Kriging and Thiessen polygon methods although fuzzy Kriging is more complex and time-consuming.