Vipinkumar Yadav, Dr. Sanjay M Yadav, Sahita Waikhom
Wednesday 1 july 2015
12:45 - 12:48h at Mississippi (level 1)
Themes: (T) Sediment management and morphodynamics, (ST) Sediment transport mechanisms and modelling, Poster pitches
Parallel session: Poster pitches: 8A. Sediment - Erosion
Sediment transport is one of the most dynamic and consistent phenomenon of open channel flow. Water, under various flow conditions, carries different quantity and quality of sediments over great distances. Immense quantities of sediment of various sizes, shapes and density move across the flow terrain. Most sediment load transport relationships are either based on calculating separately the suspended load and bed load and adding them to find total load (indirect methods) or finding total load treating mode of whole sediment movement as one phenomenon. Most engineering applications call for finding total load, which the practicing engineers resort to, while designing a hydraulic structure. Recent research has explored the connection between sediment transport and various dimensionless parameters. Duan Jeniffer G has proposed a simple total load formula based on this concept. Duan has correlated various dimensionless parameters proposed by other researchers like Van Rijn, Yang, etc with sediment transport rate. Also Duan proposed a dimensionless parameter _d, incorporating both shear stress and fall velocity and correlated it with sediment transport rate. Duan performed analysis based on huge data sets and experimental results and found that dimensionless parameter, _d has very high correlation and thus predicts sediment transport rate better than other dimensionless parameters. Present paper submits the analysis carried out in the similar way for various data sets like Samaga et al, Soni J P, etc. to simulate the outcome of Duan. However, authors found mixed result and _d was found to be best prediction parameter (correlation about 0.9) only in 50 percent cases with other dimensionless parameters having considerably good correlation too (0.8).The analysis gives high correlation with _d for M1 and M4 data of Samaga et al.For data set of Soni J P the next best correlation is obtained for _b (Bagnold’s power parameter, 1966).