Determination of Turbidity in Filyos Stream Water by Artificial Neural Network

Year 2019, Volume: 3 Issue: 1, 67 - 72, 27.06.2019

Berna Aksoy , İsmail Hakkı Özölçer , Emrah Doğan , Onur Dündar

Abstract

Water
is in an endless cycle, which is source of life for human beings. During this
cycle, substances that are contaminated in water cause physical, chemical or
biological alteration of the water’s natural features, that leads to water pollution and therefore
causes the environmental balance to deteriorate over time. This quality changes
cause deteriorations in ecosystem. For this reason, it is important to
investigate the water quality in rivers and water reservoirs which are close to
settlement areas. In this study, surface water quality measurements were
carried out at downstream of the Filyos stream, which forms the largest
sub-basin in the Western Karadeniz Basin, at intervals of thirty days in one
year period between September 2015 and August 2016. In the scope of the study,
zinc, chromium, calcium, aluminium, manganese and turbidity parameters measured
in the laboratory and estimation of the turbidity parameter basaed on
parameters of zinc, chromium, calcium, aluminium, manganese was performed by
artificial neural networks.

Keywords

Filyos Stream, Heavy Metal, Turbidity, Artificial Neural Networks

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