1 / 28

Rhine, Netherlands, flood 4 Nov 1998 (Wilbers & Ten Brinke, 2003)

km. bed level m NAP. The Impact of Variability in Dune Dimensions on Sediment Sorting and Morphodynamics Astrid Blom University of Twente US National Center for Earth-surface Dynamics (NCED). Rhine, Netherlands, flood 4 Nov 1998 (Wilbers & Ten Brinke, 2003). Blom et al., WRR, 2003.

kalare
Download Presentation

Rhine, Netherlands, flood 4 Nov 1998 (Wilbers & Ten Brinke, 2003)

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. km bed level m NAP The Impact ofVariability in Dune Dimensions onSediment Sorting and MorphodynamicsAstrid BlomUniversity of Twente US National Center for Earth-surface Dynamics (NCED) Rhine, Netherlands, flood 4 Nov 1998 (Wilbers & Ten Brinke, 2003)

  2. Blom et al., WRR, 2003

  3. Continuity of non-uniform sediment Existing bed layer models (e.g., Hirano, 1971) • Useful, but… • Inadequate description of sediment fluxes • Ellipticity of set of equations • Problematic definition of active layer Developments • Sediment continuity framework by Parker, Paola & Leclair (2000): active bed described by PDF of bed surface elevations • Extension to dunes (Blom, 2003, Blom & Parker, 2004) • Present research: extension to aggradational / degradational cases

  4. Case study The Ribberink (1987) aggradation experiment Three sediment continuity models: • The Hirano active layer model • The sorting evolution model with regular dunes • The sorting evolution model with irregular dunes • Flow described using formulation backwater curve • Simple power-based and surface-based sub-model ofsediment transport (Ribberink, 1987)

  5. The Hirano active layer model (1971) Faiqa Fmi  active layer ηI FIi substrate Sediment continuity of active layer: cb sediment concentration within the bed (cb= 1 - porosity) Fmi volume fraction content of size fraction i in the active layer Fai volume fraction content of size fraction i in the transported sediment FIi volume fraction content of size fraction i at the interface qa sediment transport rate  thickness of active layer ηI elevation of interface between active layer and substrate

  6. z z z coarse ha fine Fi Ps x The sorting evolution model (Blom, 2003) based on Parker-Paola-Leclair (2000) framework Ci concentration of size fraction i at level z (Ci= cb Ps Fi) Ps probability that the bed level is higher than z Fi volume fraction content of size fraction i at level z Dei Eei deposition and entrainment densities of size fraction i at level z cb sediment concentration within the bed (cb= 1 - porosity)

  7. qtop stoss lee z x The sorting evolution model Sediment fluxes through dune migration • Only bed load transport. • Apply the Einstein step length formulation (Einstein, 1950) to the stoss face: deterministic step lengths • At the lee face entrainment neglected. Lee face deposition determined by alee sorting function.

  8. The sorting evolution model Sediment fluxes through dune migration variability in bedform dimensions (Leclair, 2002)  e.g. E(z) =  Estoss(z) pb dηb

  9. The sorting evolution model Sediment fluxes through net aggradation / degradation • distributed over depth according to exposure to flow • composition of fluxes uniform over bed elevations

  10. The Ribberink aggradation experiment • Experiment E8-E9 by Ribberink (1987) • 2 sand fractions (0.78 mm, 1.29 mm) • Dunes • Start from exp E8 • Over 30h, feed of fines was decreased to 0 • Total feed rate was maintained steady

  11. Active part of the bed • Mean dune height and PDF troughs assumed steady • Hydraulic roughness assumed steady (Ribberink, 1987) • Mean dune height  = 3cm • Active layer thickness  = 1/2 

  12. Results: Net aggradation or degradation

  13. Results: Composition of active part of bed

  14. Results: Composition of bed load transportat downstream end of flume

  15. Results: Vertical sorting

  16. Discussion and conclusions • Note: no parameter tuning • Taking into account the variability in dune dimensions • allows sediment to be ‘stored’ at lower elevations • improves the predicted adaptation time scales • improves the predicted sorting profile • Reduction to a simplified model • Applicable to alternate bars? (data Lanzoni, Miwa) • Model PDF trough elevations (Van der Mark et al., 2005) • New flume experiments at VTCHL

  17. The research project is supported by: The Netherlands Organization for Scientific Research (NWO-STW) University of Twente (Civil Engineering) US National Center for Earth-surface Dynamics (NCED) The following persons have contributed to the work through discussion: Gary Parker, Jan Ribberink, Maarten Kleinhans, Suzanne Hulscher, Suzanne Leclair, Bert Jagers, Kees Sloff, Rolien van der Mark, and David Mohrig.

  18. Case study 1: Results, composition active bed

  19. qtop stoss lee z x The sorting evolution model (Blom, 2003) • Only bed load transport. • Apply the Einstein step length formulation (Einstein, 1950) to the stoss face: deterministic step lengths • At the lee face neglect entrainment. Lee face deposition determined by anewly-developed lee sorting function i.

  20. z mean grain size little coarser than mean grain size coarse proportion ofsize fraction Lee sorting function i

More Related