Estimation of hydrodynamic parameters in the unknown locations in Evan plain using fuzzy logic

Hydrodynamic coefficients of an aquifer are the most important hydrogeological information to describe its characteristics, and most of the research and implementation project depend on the existence of accurate hydrodynamic coefficients data. In this study, while quantitative study of groundwater resources of Evan Plain, the fuzzy inference model was developed to determine the hydrodynamic coefficients of the aquifer.These coefficients include transmissivity (T), storage coefficient (S), and hydraulic conductivity coefficient (K). One of the methods to determine these parameters is to perform a pumping test analysis, which is usually very costly in most areas, especially the arid regions due to increased drilling depth has many limitations.Another objective of this research is to investigate changes in hydrodynamic coefficients of the aquifer over time, which can be used to predict this information at unknown locations. Hydrodynamic parameters can change over time and place. Spatial variations are due to environmental changes. If the changes are due to the effect of recharge, discharge and compaction, this suggests that the use of a general function for the whole region cannot be a suitable method for estimating the parameters.The small difference between the values of the hydrodynamic coefficients estimated by the fuzzy method in comparison with the pumping method, which has an error of less than 0.07, indicates the high accuracy of this method. Using the fuzzy logic method in determining hydrodynamic coefficients can greatly reduce the cost of pumping tests. Therefore, the use of fuzzy inference method to determine and estimate hydrodynamic coefficients can be useful in unspecified regions.