Filyos Nehri’ndeki Askıda Katı Madde Miktarının Yapay Sinir Ağları İle Belirlenmesi

Living beings need water to continue their life. Water is in an endless cycle and during this cycle, substances which are mixed with water for various reasons cause properties of water to change. Both the use of water and the surrounding areas cause changes in the quality of water. For this reason, it is important to investigate the water quality in rivers and water reservoirs. In this study, Filyos Stream, which is located in the largest sub-basin of the Western Black Sea Basin, was estimated to suspended solids parameters by using artificial neural networks. Water samples were taking from three selected points on the main line of the Filyos Stream. In the laboratory, suspended solids, turbidity, iron and chromium analyzes of water quality parameters were carried out. After, the estimation of the Suspended Solids parameter based on parameters turbidity, flow, iron and chromium was performed by artificial neural networks.