Effect of changes in fine-grained matrix on bedload sediment transport in a gravel-bed river

2012 ◽  
Vol 38 (5) ◽  
pp. 441-448 ◽  
Author(s):  
Ronel Barzilai ◽  
Jonathan B. Laronne ◽  
Ian Reid
Geomorphology ◽  
2007 ◽  
Vol 83 (1-2) ◽  
pp. 152-182 ◽  
Author(s):  
Simon C. Reid ◽  
Stuart N. Lane ◽  
Jessica M. Berney ◽  
Joseph Holden

2013 ◽  
Vol 61 (3) ◽  
pp. 241-249 ◽  
Author(s):  
Arman Haddadchi ◽  
Mohammad H. Omid ◽  
Amir A. Dehghani

Abstract Twelve predictive bedload sediment transport equations are rated against 14 sets of gravel-bed river field data collected by handheld bedload sampler in Narmab River, northeastern Iran. To evaluate these formulas two types of grain size namely bedload and bed material were used. The results show that the equations of Engelund and Hansen, Van Rijn and Einstein perform well with bed material grain size, while Shocklitsch, Meyer-Peter and Mueller, and Frijlink yield the best results using the bedload grain size.


Geografie ◽  
2012 ◽  
Vol 117 (1) ◽  
pp. 95-109 ◽  
Author(s):  
Tomáš Galia ◽  
Václav Škarpich ◽  
Jan Hradecký

This paper summarizes the results of bedload transport research in the Morávka, Mohelnice and Ostravice basins, conducted using the BAGS (Bedload Assessment for Gravel-bed Streams) spreadsheet-based program and unit stream power empirical formulas. The presented results only show the potential rate of bedload transport, because sediment inputs and barriers were not included in the model. Trends in the potential bedload transport rate represent a good instrument for identifying the range of disconnected sediment transport along the longitudinal profile. Modelling on cross-sections with a high rate of fluvial erosion shows an increase in potential bedload transport and larger diameters of the largest possible transported particles, calculated using unit stream power empirical formulas. The results may be applied to improve local watershed management.


2017 ◽  
Vol 43 ◽  
pp. 57-63 ◽  
Author(s):  
Monica Papini ◽  
Vladislav Ivov Ivanov ◽  
Davide Brambilla ◽  
Diego Arosio ◽  
Laura Longoni

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