Evaluaion of Nilüfer creek water pollution with artificial neural network

In the present study, the pollution parameters (pH, Temperature (◦C), Conductivity, Nitrate Nitrojen (NO₃-N) (mg / L), Copper (Cu) (mg / L), Nickel (Ni) (mg / L), Bullet (Pb) (mg / L), Zinc (Zn) (mg / L), İron (Fe) (mg/L), Manganese (Mn) (mg/L) of the Nilufer Stream taken from the Bursa Metropolitan Municipality General Directorate of Water and Sewerage Administration (BUSKI) were evaluated according to Artificial Neural Network (ANN) analysis. In this context, the measurement result of Deliçay stream, Ayvalı stream, Hasanağa stream and Çayönü stream in Bursa. İn the Neurosolution Artificial Neural Network (ANN) program, the pollution parameters in Nilüfer Creek and pH, temperature, NO₃-N and Zn were correlated and their relationships were examined. Since r² result is 1 as a result of Artificial Neural Network (ANN), it is determined that compared independent variables (pH, temperature, NO₃-N and Zn) can explain %100 of pollution parameters.