چکیده مقاله
As one of the most important hydrological processes, Runoff modeling is highly dominant in accurate study of a watershed Many models are yet being developed in order to define such a complex process, therefore using a measure to scope relative complexity of a watershed results in choosing more appropriate model related to its characteristics In this study, the runoff process of five different watersheds, which are different in land use, population growth and complexity, are modeled In order to consider relative complexities, Wavelet Entropy measure is introduced as a new complexity measurement tool It is deduced that only in areas with higher complexity levels, Complex modeling structures are needed such as ANN and WANN and in those with respective lower wavelet entropy measure, auto regressive models such as ARIMA and ARIMAX can be consumed efficiently, therefore using complex models are not necessary
کلیدواژهها
نویسندگان
وحید نورانی
Professor, Faculty of Civil Engineering, University of Tabriz, Tabriz, Iran
Faranak Tootoonchi
M Sc Student, Faculty of Civil Engineering, University of Tabriz, Tabriz, Iran
Sevil Ranjbar
Vahid Nourani Professor, Faculty of Civil Engineering, University of Tabriz, Tabriz, IranFaranak Tootoonchi M.Sc. Student, Faculty of Civil Engineering, University of Tabriz, Tabriz, Iran
شیوه ارجاع
Nourani, Vahid and Tootoonchi, Faranak and Ranjbar, Sevil,1394,Selection of the Robust Streamflow Forecasting Model Using Wavelet-Entropy Complexity Criterion,10th International Congress on Civil Engineering,Tabriz
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