Multiple Linear Regression Model for Total Bed Material Load Prediction
Publication: Journal of Hydraulic Engineering
Volume 132, Issue 5
Abstract
A new total bed material load equation that is applicable for rivers in Malaysia was developed using multiple linear regression analyses. A total of 346 hydraulic and sediment data were collected from nine natural and channelized rivers having diverse catchment characteristics in Malaysia. The governing parameters were carefully selected based on literature survey and field experiments, examined and grouped into five categories namely mobility, transport, sediment, shape, and flow resistance parameters. The most influential parameters from each group were selected by using all possible regression model method. The suitable model selection criteria namely the -square, adjusted -square, mean square error, and Mallow’s statistics were employed. The accuracy of the derived model is determined using the discrepancy ratio, which is a ratio of the calculated values to the measured values. The best performing models that give the highest percentage of prediction from the validation data were chosen. In general, the newly derived model is best suited for rivers with uniform sediment size distribution with a value within the range of 0.37–4.0 mm and performs better than the commonly used Graf, Yang, and Ackers–White total bed material load equations.
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Acknowledgments
The writers sincerely acknowledge the National Science Fellowship awarded by Ministry of Science, Technology and Innovation, Malaysia (MOSTI) that has resulted in this paper. They would also like to thank Professor Walter H. Graf, Professor K.G. Ranga Raju, Professor J. J. Peters, Maureen Neging, John R. Gray, and Denis J. O’Halloran for their valuable suggestions and comments at the preliminary stage of this study.
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Published In
Journal of Hydraulic Engineering
Volume 132 • Issue 5 • May 2006
Pages: 521 - 528
Copyright
© 2006 ASCE.
History
Received: Oct 20, 2003
Accepted: Jun 27, 2005
Published online: May 1, 2006
Published in print: May 2006
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