Groundwater Quality Assessment using Takagi-Sugeno-Kant Fuzzy Water Quality Index (TSKFWQI) Approach

Authors

Department of Geology, Faculty of Earth Sciences, Kharazmi University

Abstract

     In this study, the drinking groundwater quality of the Lenjanat plain, Iran, is classified based on Takagi-Sugeno-Kant Fuzzy Water Quality Index (TSKFWQI). In this research, physicochemical parameters including: As, Pb, Cr, Ni, Cu, NO3, Na, K, F, Cl, Ba, Ca, Mg, Fe, SO4 and TDS were used to calculate the drinking quality rank of water samples using TSKFWQI method. In this way 79 samples were analyzed for classification. Among  these ,  15.18%  of  the  samples  showed  excellent  water, 24.05%    of  the samples  was  good  quality,  34.17% of  the  samples  showed  medium  water category, 18.98% of the samples showed poor water  category  and  7.59%  have  poor  water quality. In TSKFWQI, the final rank of any sample is very much affected by toxic parameters. It means that, a sample with acceptable range of all parameters, except one toxic parameter, falls in the unacceptable rank.Water chemistry shows the presence of some toxic elements in the groundwater resources, TSKFWQI classification of water with regard to drinking purposes gives more reliable results.
 

Keywords

References

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