Akademik Veri Yönetim Sistemi
10th International Conference on Image Processing Wavelet and Applications, IWW2019, 18-20 October 2019, Kocaeli, Türkiye, 18 - 20 Ekim 2019, ss.211-216
Water quality management has become an important issue in public policies and agricultural activities
throughout the world. Proper assessment of water quality status in surface water resources based on different
observations and also analyses of chemical parameters. Various classification methods have been used for estimating
of usability of surface water resources. This paper presents a comparative study, a methodology based on fuzzy
inference system to assess water quality is proposed. Using fuzzy logic system was compared the output generated by
fuzzy with that of conventional methods. Three variables are employed for the quality assessment in terms of six
different surface water resources in Yalova region. Fuzzification unit will produce fuzzy set, based on fuzzy variable
namely magnesium (Mg+2), calcium (Ca+2) and sodium (Na+2). Magnesium (Mg+2), calsium (Ca+2) and sodium (Na+2)
values were taken as input variables as they are factors which directly effect the usability of agricultural activities and
soil productivity. For this reason, usability was taken as an output variable in return.This study aims to determine the
quality of water resources used in agricultural areas selected in surface water resources of Yalova vicinity in Turkey
and find out the effects of these waters on productivity using Fuzzy Logic which have recently been used in the world.