Evaluation of quality of groundwater in irrigation using fuzzy logic in the Bafra Plain, Northern Turkey

Authors : Bilal CEMEK, Recai OKTAŞ

Pages : 339-348

Doi:10.18393/ejss.783470

View : 14 | Download : 5

Publication Date : 2020-10-01

Article Type : Research Paper

Abstract :The quality of groundwater plays an important role in irrigation management and planning. The most commonly used method when classifying the irrigation water quality is the United States Soil Laboratory insert ignore into journalissuearticles values(USSL); diagram. Fuzzy logic approach is one of the widely used methods produced more precise and accurate results according to the USSL diagram. A rule-based, fuzzy logic irrigation water quality insert ignore into journalissuearticles values(FL-IWQ); were evaluated by using electrical conductivity insert ignore into journalissuearticles values(EC);, sodium adsorption ratio insert ignore into journalissuearticles values(SAR);, and residual sodium carbonate insert ignore into journalissuearticles values(RSC); values of groundwater in irrigation, in Bafra plain. The FL-IWQ defuzzification methods-center of area insert ignore into journalissuearticles values(COA);, mean of maxima insert ignore into journalissuearticles values(MOM);, least of maxima insert ignore into journalissuearticles values(LOM);, and insert ignore into journalissuearticles values(SOM); were selected and compared with quality values of groundwater in irrigation. Based on the results of the FL-IWQ defuzzification methods with quality values of groundwater in irrigation, the determination of coefficients for COA, MOM, SOM and LOM were 0.9874, 0.9755, 0,9574 and 0.9453, respectively. Results obtained from FL-IWQ revealed that there has been 93% general agreement with the results obtained from the USSL diagram and RSC classification. The developed fuzzy model produced more reliable results for groundwater in irrigation than that of the USSL-diagram and RSC classification. The study suggests using proposed fuzzy model as a promising alternative to the traditional ones for classifying the quality of groundwater in irrigation under uncertain conditions.
Keywords : Fuzzy, irrigation, water quality, EC, SAR, Bafra Plain