Open Access
Issue
E3S Web Conf.
Volume 40, 2018
River Flow 2018 - Ninth International Conference on Fluvial Hydraulics
Article Number 02036
Number of page(s) 7
Section River morphodynamics and restoration
DOI https://doi.org/10.1051/e3sconf/20184002036
Published online 05 September 2018
  1. S. J. Bennett, P. Ashmore and C.M. Neuman, Transformative geomorphic researchusing laboratory experimentation. Geomorphology, 244, 1-8 (2015) [Google Scholar]
  2. J. R. Gray, J.B. Laronne, J.D.G. Marr, Bedload-surrogate monitoring technologies:US Geological Survey Scientific Investigations Report 2010-5091, 37 p. (2010) [Google Scholar]
  3. R. De Sutter, R. Verhoeven, A. Krein, Simulation of sediment transport duringflood events: laboratory work and field experiments. Hydrological SciencesJournal, 46(4), 599-610 (2001) [CrossRef] [Google Scholar]
  4. K. T. Lee, L. Y. Liu, K. H. Cheng, Experimental investigation of bedload transportprocesses under unsteady flow conditions. Hydrological Processes, 18(13), 2439-2454 (2004) [CrossRef] [Google Scholar]
  5. K. P. Pathrina, P. C. Ranasinghe, U. R. Ratnayake, ). Influence of reference bed level on computation of bed shear stress in open channel flow. Engineer: Journal of the Institution of Engineers, Sri Lanka, 39(3) (2006) [Google Scholar]
  6. M. K. Tabarentani, R. A. Zarrati, Sediment transport during flood event: a review. International Journal of Environmental Science and Technology, 12(2), 775-788 (2015) [CrossRef] [Google Scholar]
  7. M. Emmett, T. B. Moodie, Dam-break flows with resistance as agents of sediment transport. Physics of Fluids, 20(8), (2008) [Google Scholar]
  8. Y. Zech, S. Soares-Frazão, B. Spinewine, N. Le Grelle, Dam-break induced sediment movement: experimental approaches and numerical modelling. Journal of Hydraulic Research, 46 (2), 176-190 (2008) [CrossRef] [Google Scholar]
  9. R. Barzilai, J. B. Laronne, I. Reid, Effect of changes in fine-grained matrix on bedload sediment transport in a gravel-bed river. Earth Surface Processes & Landforms, 38(5), 441-448 (2012) [CrossRef] [Google Scholar]
  10. H. Cohen, J. B. Laronne, I. Reid, Simplicity and complexity of bed load response during flash floods in a gravel bed ephemeral river: a 10 year field study. Water Resources Research, 46(11) (2010) [Google Scholar]
  11. T. Mizuyama, J. B. Laronne, M. Nonaka, T. Sawada, Y. Satofuka, M. Matsuoka, S. Yamashita, Y. Sako, S. Tamaki, M. Watari, S. Yamaguchi, K. Tsuruta, Calibration of a passive acoustic bedload monitoring system in Japanese mountain rivers. U.S. Geological Survey Scientific Investigations Report SIR 2010-5091, 296-318 (2010) [Google Scholar]
  12. T. Mizuyama, A. Oda, J.B. Laronne, M. Nonaka, M. Matsuoka, Laboratory tests of a Japanese pipe geophone for continuous acoustic monitoring of coarse bedload. U.S. Geological Survey Scientific Investigations Report, 5091, 319-335 (2010) [Google Scholar]
  13. L. Meirovich, J. B. Laronne, I. Reid, The variation of water-surface slope and its significance for bedload transport during floods in gravel-bed streams. Journal of Hydraulic Research, 36(2), 147-157 (1998) [CrossRef] [Google Scholar]
  14. H. Tu, W. H. Graph, Vertical distribution of shear stress in unsteady open-channel flow. Proceedings of the Institution of Civil Engineers: Water Maritime and Energy, 96, 63-9 (1992) [CrossRef] [Google Scholar]
  15. K. P. Pathirana, P. C. Ranasinghe, U. R. Ratnayake, Bed shear stress in unsteady open channel flow over rough beds. Engineer: Journal of the Institution of Engineers, Sri Lanka, 41(1) (2008) [Google Scholar]
  16. S. Day, Fluvial Hydrodynamics: Hydrodynamic and Sediment Transport Phenomena. Springer (2014) [Google Scholar]
  17. J. B. Laronne, I. Reid, Y. Yitshak, L. E. Frostick, The non-layering of gravel streambeds under ephemeral flood regimes. Journal of Hydrology, 159, 353-363 (1994) [Google Scholar]

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