Estimation of Ground Water Parameters by Developing a New Fuzzy Optimized Simulation Model
Proper groundwater management is considered as one of the main sources of accurate groundwater parameters. Groundwater parameters are usually ignored in order to simplify the equations and uncertainty of seepage testing. In this research, an optimized simulation model has been developed to consider uncertainties in determining groundwater parameters. The optimized simulation model can accurately estimate the parameters of ground water due to the minimization of the difference between observation reduction and computational reduction loss. The proposed method is compared to the actual seepage test in the enclosed groundwater and its results are compared with the Thies method. Statistical error based on the results of proposed modeling simulation and the Thies method is solved by comparing the performance of two methods. For example, the average absolute relative error of the suggested simulation model and the Thies curve solution is respectively 0.69 and 1.13%, which indicates the accuracy of the proposed simulation model to the Thies solution. In the second section, due to the amount of discharge as an uncertain parameter, an optimized fuzzy simulated model is developed based on the fuzzy transformation method. Based on the results of this fuzzy method, the effect of this uncertainty on the optimal estimation of enclosed groundwater parameters has been investigated and the variation of groundwater parameters has been determined in different fuzzy sections. The results of two developed fuzzy methods show that the effect of discharge uncertainty on the estimation of the groundwater T parameter is higher than S.
KeywordsGroundwater parameters Fuzzy transform method Genetic algorithm Seepage phenomenon
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