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Journal of Environmental Hydrology
ISSN 1058-3912 |
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Electronic Journal of the International Association for
Environmental Hydrology
JEH Volume 16 (2008), Paper 30 Posted September 29, 2008 ARTIFICIAL NEURAL NETWORK MODELS FOR ESTIMATION OF SEDIMENT LOAD IN AN ALLUVIAL RIVER IN INDIA
Archana Sarkar ABSTRACT 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. Reference: Sarkar, A., R. Kumar, S.K. Jain, and R.D. Singh. 2008. Artificial neural network models for estimation of sediment load in an alluvial river in India. Journal of Environmental Hydrology, Vol. 16, Paper 30. CONTACT: Archana Sarkar National Institute of Hydrology Roorkee-247667 India E-mail: archana_nih@yahoo.co.in |
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