Analysis of Stream Power Approach for Predicting Suspended Load Transport Rate
Ankita C. Upadhyay, S & S S Ghandhy GEC, Surat; S. I. Waikhom ,S & S S Ghandhy GEC, Surat; Dr. S. M. Yadav ,SVNIT, Surat
Bagnold, Stream Power Approach, River Data, Suspended Sediment Transport Rate, Statistical Analysis
The present paper discusses the outcome of the detailed analysis to check the applicability of Bagnold (1966) Stream Power approach for river data. Statistical parameters such as Mean Percentage Error (MPE), Root Mean Square Error (RMSE), Discrepancy Ratio (DR) and Inequality Coefficient (U) have been computed for evaluating the performance of selected formula. Graphical comparisons are done to demonstrate the performance and variations for different data sets. Score in terms of percentage of discrepancy ratio within the range 0.5 to 2.0 are calculated for comparison. Bagnold (1966) approach is tested for various river data sets. Analytical evaluation reveals that Bagnold (1966) approach for suspended load transport rate over-predicts for Chulitna River, Susitna River near Alaska and Sacremento Butte City and under predicts for Susitna River near Talkeetna and Sacramento Colusa City in the present study. Comparison between the predicted sediment transport rate and observed values indicates acceptable discrepancy ratio. Best predictability is observed for Sacremento Colusa City data set. It can be concluded that Bagnold’s suspended sediment transport function predicts well for low to mild range of slope.
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Paper ID: GRDCF001093
Published in: Conference : Recent Advances in Civil Engineering for Global Sustainability (RACEGS-2016)
Page(s): 569 - 573
Published in: Conference : Recent Advances in Civil Engineering for Global Sustainability (RACEGS-2016)
Page(s): 569 - 573