期刊名称：Journal of Environmental Hydrology (ältere Jahrgänge)
印刷版ISSN：1058-3912
电子版ISSN：1996-7918
出版年度：2008
卷号：16
出版社：IAEH
摘要：The magnitude of sediment transport by rivers is a major concern for water resources planning and management. The methods available for sediment estimation are largely empirical, with sediment rating curves being the most widely used in India. In this study, sediment rating curve and artificial neural network (ANN) techniques have been applied to model the sediment-discharge relationship of an alluvial river. Daily data of sediment load and discharge of the Kosi River in India have been used. A comparison has been made between the results obtained using ANNs and sediment rating curves. The sediment load estimations in the river obtained by ANNs have been found to be significantly superior to the corresponding classical sediment rating curve ones. Also, an ANN approach can give information about the structure of events (e.g., hysteresis in the sediment-discharge relationship) which is not possible to achieve with sediment rating curves.
