Estimation of stream temperature in firtina creek (Rize-Turkiye) using artificial neural network model.
Water temperature is one of the most important environmental variables in aquatic ecosystem. Temperature changes may have positive or negative effects on organisms. High water temperatures have caused mortalities in salmonid fishes. Therefore, monitoring and prediction of potential adverse changes in water temperature is very important. Here, we have developed and tested an artificial neural network (ANN) model to predict stream temperature of Firtina Creekin Black Sea region; using local water temperature, dissolved oxygen, pH and other available meteorological data (air temperature, rainfall). Thus, enabling define suitable habitat for native Sea Trout (Salmo trutta labrax, Pallas 1811) under past drought or other adverse envIronmental conditions.
Sivri
Nuket
N
Istanbul University, Engineering Faculty, Environmental Eng. Dep., 34320 Istanbul, Turkiye. sivrin@yahoo.com
Kilic
Niyazi
N
Ucan
Osman N
ON
D017756:Aquaculture; D004784:Environmental Monitoring; D006863:Hydrogen-Ion Concentration; D016571:Neural Networks, Computer; D010100:Oxygen / Q000032:analysis; D011891:Rain; D015203:Reproducibility of Results; D045483:Rivers; D013696:Temperature; D014421:Turkey
D010100:Oxygen