Rainfall intensity-duration-frequency (IDF) model using an artificial neural network approach
JOURNAL OF SCIENTIFIC & INDUSTRIAL RESEARCH, cilt.67, sa.3, ss.198-202, 2008 (SCI-Expanded, Scopus)
- 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.