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Evaluation of surface water quality for drinking purposes using fuzzy inference system

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Evaluation of surface water quality for drinking purposes using fuzzy inference

system

Authors

Ammar Tiri, Lazhar Belkhiri, Lotfi Mouni

Publication date

2018/3/1

Journal

Groundwater for Sustainable Development

Volume 6 Pages 235-244 Publisher Elsevier Description

The aim of this research is to propose a surface water quality index using fuzzy inference system. Three stations and ten of Algeria to develop the ) are selected from Oued El Hai Basin

3 and HCO 4 , SO 4 SO parameters (pH, TDS, Ca, Mg, Na, K, Cl,

approach. The results show that calcium and sulfate are the dominate ions in the three stations. TDS is strongly and positively there are no significant differences for all parameters except Ca and K in . From ANOVA test,

3

and HCO

4

correlated with SO

terms of their temporal variation. Water-rock interactions and anthropogenic process are the main factors that are controlling the surface water quality. The water quality index is assessed with the FWQI index, and the results show that the values of WQI and FWQI have similar characteristics regarding the water quality index.

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