Time filter

Source Type

Borah T.,Assam Engineering College Guwahati | Das M.,Assam Engineering College Guwahati
Geotechnical Special Publication | Year: 2016

The sediment concentration is one of the important parameter in the area dealing with sediment transport. High sediment load is an integral component of Bhogdoi River, Assam, India and its role, despite being critical in the overall systemic behavior of the river, is little understood. Due to the sheer amount and the complex behavior of the sediment transport, its managements have remained a challenge. It is also essential to know the amount of sediment load carried by river system to manage it properly. In this study, an attempt has been made to estimate the sediment load by using artificial neural network (ANN) and multi-linear regression (MLR) models. For this purpose samples were collected from five different places and conducted laboratory test to know the physical and fluid properties of the sediments. In this study, it was preferred to implement a simple model to identify a direct mapping between the inputs and outputs without detailed consideration of the internal structure of the physical process. The main aim was to identify the best technique that could be adequately predicting the sediment load to a desired accuracy. The ANN and MLR was developed using 100 series of measured data, and data from Water Resources Department. ANN was developed using RBF network and also compared with results of MLR models. The result obtained by ANN model gives better prediction than the regression model. © ASCE.

Loading Assam Engineering College Guwahati collaborators
Loading Assam Engineering College Guwahati collaborators