Volume 2, Number 3 (2012 autumn 2012)                   E.E.R. 2012, 2(3): 29-43 | Back to browse issues page


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sepahvand A, hezarkhani N. Comprising the Empirical Equations of Runoff- Sediment Resulted from Sediment Rating Curves and Artificial Neural Network (Case Study: Ghadarkhosh Watershed, Ilam Province) . E.E.R. . 2012; 2 (3) :29-43
URL: http://magazine.hormozgan.ac.ir/article-1-112-en.html

, sepahvand1982@yahoo.com
Abstract:   (6545 Views)

Being available the accurate data on carried sediment has accounted as an important factor for making decision about constructing of river structures and determining of dam life. To accomplish this object, a number methods have been proposed so that sediment rate curving as a hydrological method has been developed for doing it. Ignoring differences between season's values causes to lower the precision of this method. So, present research has been programmed for evaluation of classified discharge to two categories including high water and low water on suspended sediment calculated by sediment rating curve in comparison with Artificial Neural Network (ANN). For acquiring this object, by means of flow duration curve and USBR method, daily suspended sediment and sediment rating curve were resulted. Finally, some statistical criteria including Relative Error (RE), Model Efficiency (EF), Root Mean Square Error (RMSE) and Descriptive Coefficient (R2) were applied for comparing the results outcome of sediment rating curve method and ANN method. Results showed that ANN method has as higher capability in comparison with sediment rating curve on basis of Descriptive Coefficient and Model Efficiency 0/903 and 0/89 respectively moreover Root Mean Square Error and Relative Error 0/322 and 6/22 respectively.

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Type of Study: Research |
Received: 2014/05/3 | Published: 2014/05/3

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