Evaluation of Hashtgerd aquifer groundwater quality using fuzzy method

Document Type : Research paper

Authors

1 Academic Faculty member, Department of Water Engineering and Sciences, The School of Agriculture, Water, Food, & Functional Foods, Islamic Azad University, Tehran Science and Research Branch, Tehran, Iran.

2 Master of Science in Water Resources Engineering, Department of Water Engineering and Sciences, The School of Agriculture, Water, Food, & Functional Foods, Islamic Azad University, Tehran Science and Research Branch, Tehran, Iran.

3 Associate Professor, Department of New Energies and Environment, Faculty of Modern Sciences and Technologies, University of Tehran, Tehran, Iran.

Abstract

Classification and identification of groundwater quality is one of the important goals in water resources management. In recent years, the ability of methods based on fuzzy logic to account for uncertainties in various environmental issues has been proven. The purpose of this study is to apply a method based on fuzzy logic instead of the definitive decision method about drinking water quality. In this method, membership functions of qualitative parameters based on fuzzy rules were introduced and then the fuzzy logic toolbox of MATLAB software was used. In the present study, a new method based on Mamdani fuzzy inference system was used to evaluate the groundwater quality in Hashtgerd aquifer. In this method, out of 10 groundwater quality parameters including total soluble solids, total alkalinity, chlorine, sulfate, pH, total hardness, calcium, magnesium, fluoride and nitrate due to the importance of determining water quality in terms of drinking, in 28 groundwater samples used. These parameters, based on their importance in water quality in terms of drinking, were divided into three groups of desirable, acceptable and unacceptable. Total soluble solids, total alkalinity, chlorine and sulfate were in the first group. The second group also included pH, total hardness, calcium and magnesium. Fluoride and nitrate were studied in the third group due to their importance in determining water quality in terms of drinking, along with the outputs of the first and second groups. These groups were then combined according to fuzzy if-then rules and the final water quality was determined. The results of the study showed that 18 of these samples with a confidence level between 34 to 100% in the desired category, 7 samples with a confidence level between 45 to 95% in the acceptable group and 3 samples with a confidence level between 76 to 92% in the unfavorable range they are for drinking.

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References

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Hydrogeology
Volume 9, Issue 1
Publisher
June 2024
Pages 16-27

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