Modeling of rainfall-runoff relationship at the semi-arid small catchments using artificial neural networks

Tombul M., Ogul E.

INTELLIGENT CONTROL AND AUTOMATION, cilt.344, ss.309-318, 2006 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 344
  • Basım Tarihi: 2006
  • Dergi Adı: INTELLIGENT CONTROL AND AUTOMATION
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED)
  • Sayfa Sayıları: ss.309-318
  • Anadolu Üniversitesi Adresli: Evet

Özet

The artificial neural networks (ANNs) have been applied to various hydrologic problems in recently. In this paper, the artificial neural network (ANN) model is employed in the application of rainfall-runoff process on a semi-arid catchment, namely the Kurukavak catchment. The Kurukavak catchment, a sub-basin of the Sakarya basin in NW Turkey, has a drainage area of 4.25 km(2). The performance of the developed neural network based model was compared with multiple linear regression based model using the same observed data. It was found that the neural network model consistently gives good predictions. The conclusion is drawn that the ANN model can be used for prediction of flow for small semi-arid catchments.