OKKAN, Umut Balıkesir Üniversitesi - Mühendislik Fakültesi - İnşaat Mühendisliği Bölümü, Turkey , MOLLAMAHMUTOĞLU, Ayşe Balıkesir Üniversitesi - Mühendislik Fakültesi - İnşaat Mühendisliği Bölümü, Turkey

Daily Runoff Prediction of Coruh River by Artificial Neural Networks

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It is very important to make reliable runoff predictions and runoff modeling studies when planning and designing of water resources. In the study presented, an artificial neural network (ANN) model is improved and applied to the daily runoff values of Coruh River which is located in the Coruh basin. The ANN model which requires one day and two days ahead runoff values as the input data is trained by using the runoff data depending on the records that spreads to a time frame of 1643 days, made between 03.10.1991 and 01.04.1996, and then tested by the 1643 days of runoff data set which recorded between 02.04.1996 and 30.09.2000. The ANN model was also compared with autoregressive stochastic AR(2) model structure. After analysis, it was noticed that the results of each model are approximately similar but ANN is more successful than the autoregressive model. When the statistics of the long term recorded and modeled runoff values are compared, it can be seen that the ANN model structure that has been developed, successfully represents the daily runoff values of the Coruh River and can be also used to forecast the daily runoff values of the other river basin.

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Daily Runoff Prediction , Artificial Neural Networks , Autoregressive models , Coruh River

Journal Of Natural an‎d Applied Sciences

261