2003
DOI: 10.1016/j.ecss.2003.07.007
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Modeling bed-load transport of coarse sediments in the Great Bay Estuary, New Hampshire

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Cited by 14 publications
(10 citation statements)
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“…However, they are based upon a bed load transport rate not suitable for a Lagrangian description. Consequently, the approach by Bilgili et al [6] has been adopted, which can be directly used in a Lagrangian framework. In this approach, the critical flow velocity defining when the sediment movement starts is:…”
Section: Bed Loadmentioning
confidence: 99%
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“…However, they are based upon a bed load transport rate not suitable for a Lagrangian description. Consequently, the approach by Bilgili et al [6] has been adopted, which can be directly used in a Lagrangian framework. In this approach, the critical flow velocity defining when the sediment movement starts is:…”
Section: Bed Loadmentioning
confidence: 99%
“…Instead of using a characteristic depth, this has been replaced by the local water depth, thus h = H(x, y) , since water depths change in more than one order of magnitude over the model domain. Above the critical velocity, particles are assumed to travel at one-sixth of the depth-averaged current [6]. If the current decreases below V cri the particle stops its movement.…”
Section: Bed Loadmentioning
confidence: 99%
“…In this context, the jump length is the distance that the saltating particle travels over a specific length of time. The speed of a particle undergoing bedload transport has been estimated between 1/4 and 1/7 of the depth-averaged flow velocity (Bilgili et al 2003;Bogardi 1974). A more rigorously derived formula by Niño and García (1998) is based on experimental and numerical analyses that relate the dimensionless streamwise particle velocity, u s , to the dimensionless bed shear, τ * .…”
Section: Jump Lengthmentioning
confidence: 99%
“…This is necessary due to the fact that the hydrodynamics in the main channel and other non-drying areas are directly affected by the water storage on drying basins. The model is discussed extensively and is proven to be numerically robust and to successfully reproduce tidal constituents and morphological features in the Great Bay Estuary, New Hampshire in: (Ip et al 1998;Inoue and Wiseman 2000;Erturk et al 2002;Thompson et al 2002;Bilgili et al 2003b;McLaughlin et al 2003).…”
Section: Model Descriptionmentioning
confidence: 99%