Various inference systems for classification of water quality status: A case study

Authors : Olcay HİSAR, Adem Yavuz SÖNMEZ, Hasan KAYA, Şükriye Aras Hisar

Pages : 7-11

View : 15 | Download : 6

Publication Date : 2012-12-20

Article Type : Research Paper

Abstract :Water quality is considered one of the main factors controlling health and the disease state of humans and animals. Four assessment methods insert ignore into journalissuearticles values(two pollution indexes and two fuzzy mathematical models); were used to understand the water quality parameter levels and characteristic accurately. Several physico-chemical parameters such as dissolved oxygen, nitrate, nitrite, phosphate, chlor, sulphure and total organic carbon were measured in Karasu River, Turkey. Water quality was assessed as class IV insert ignore into journalissuearticles values(heavy polluted); in A, B, C and D stations and class III insert ignore into journalissuearticles values(polluted); in station E with single-factor index method. It was also identified as class III insert ignore into journalissuearticles values(polluted); for waters in A, B, C and D stations and class II insert ignore into journalissuearticles values(slightly polluted); for water in station E with the comprehensive index model. Using the two fuzzy mathematical methods insert ignore into journalissuearticles values(single-factor deciding and weighted average models);, the water quality was determined as II, II, III, III and II classes for waters in A, B, C, D and E stations, respectively. In conclusion, it can be proposed that fuzzy logic assessment methods may also be used as an alternative tool for decision-making in environmental management.
Keywords : Water quality, Fuzzy logic, Physico chemical parameters, Karasu River