Publications by authors named "Ercan Gemici"
Article Synopsis
- The study focused on the impact of 2-array submerged vane structures on flow regulation in river meanders to prevent scouring during floods.
- Both laboratory experiments and numerical simulations were conducted, showing that using submerged vanes effectively reduced flow velocities.
- Results indicated that the maximum flow velocity was decreased by 22-27% along the depth, and in the outer meander, the vanes reduced flow velocity by 26-29% behind the structures.
Application of artificial neural networks to predict the heavy metal contamination in the Bartin River.
Environ Sci Pollut Res Int
December 2020
In this study, copper (Cu), iron (Fe), zinc (Zn), manganese (Mn), nickel (Ni), and lead (Pb) analyses were performed, and the results were modelled by artificial neural networks (ANN) and adaptive neuro-fuzzy inference system (ANFIS). Samples were taken from 3 stations selected on the Bartin River for 1 year between December 2012 and December 2013. Radial basis neural network (RBANN), multilayer perceptron (MLP) neural networks models, and adaptive neuro-fuzzy inference system (ANFIS) were applied to the data in order to predict the heavy metal concentrations.
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