A survey on spatial and temporal variations of Agricultural water quality in Gorganrood River using fuzzy rules

in this research, the development of a fuzzy model is proposed to enhance the Wilcox classification system.

The data recorded by the regional water organization of Golestan province in the years 1961 to 2014 at eight stations of the Gorganrood River were used for two inputs (SAR and EC), one output (water quality class) and 16 fuzzy rules developed in this research.

The obtained results showed that the proposed developed model has a good compatibility with the Wilcox model and it is good in determining the agricultural water quality classes. It is expected that the possibility of predicting the risk of river water for use in the agricultural sector based on the proposed system will enable users to have a proper explanation for the changes in water quality during the study period. In addition, you can see temporal and spatial changes in water quality classes ahead of time and early forecast.

The proposed system is capable of classifying water quality into 16 classes and assigns a grade to each class, which is created in a fuzzy form between the interval [0,1]. While in Wilcox's model, he classifies them in only one class. In other words, the 16 different water quality classes of the Wilcox model have overlapping boundaries in the real world, which is clearly shown by the proposed fuzzy system.