Rainfall intensity-duration-frequency (IDF) model using an artificial neural network approach

ACAR R., ÇELİK S., ŞENOCAK S.

JOURNAL OF SCIENTIFIC & INDUSTRIAL RESEARCH, cilt.67, sa.3, ss.198-202, 2008 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 67 Sayı: 3
  • Basım Tarihi: 2008
  • Dergi Adı: JOURNAL OF SCIENTIFIC & INDUSTRIAL RESEARCH
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.198-202
  • Anahtar Kelimeler: artificial neural network, intensity-duration-frequency (IDF), modelling, nonlinear regression
  • Atatürk Üniversitesi Adresli: Evet

Özet

Multilayer perceptron (MLP) artificial neural network (ANN) model was trained and used to model rainfall intensity duration-frequency (IDF) relationship for short duration rainfall (SDR), in a catchment located in a semiarid climate in Turkey. Trained ANN model has been found more suitable to predict SDR than classical statistical model.