Estimation of stream temperature in Firtina Creek (Rize-Turkiye) using artificial neural network model

SİVRİ N. , Kılıç N. , UÇAN O. N.

JOURNAL OF ENVIRONMENTAL BIOLOGY, cilt.28, sa.1, ss.67-72, 2007 (SCI İndekslerine Giren Dergi) identifier identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 28 Konu: 1
  • Basım Tarihi: 2007
  • Sayfa Sayıları: ss.67-72


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 Creek in 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.