Sediment sorting along tidal sand waves: A comparison between field observations and theoretical predictions

Oyen, T. Van; Blondeaux, Paolo; Eynde, D. Van den

doi:10.1016/j.csr.2013.04.005

Cited by 15 publications

(37 citation statements)

References 34 publications

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“…Higher epibenthos and endobenthos densities in the sand wave troughs could be explained by differences in abiotic conditions between the troughs and crests. Median grain size, for instance, is generally lower in the troughs of sand waves (Baptist et al, 2006;van Lancker & Jacobs, 2000), resulting from an interplay of both hydrodynamics and sediment dynamics (Roos et al, 2007;van Oyen et al, 2013). Whereas sand wave crests are more exposed to both strong tidal currents and surface gravity waves, sand wave troughs are somewhat sheltered, resulting in the sedimentation of smaller grains.…”

Section: Discussionmentioning

confidence: 99%

Video Transects Reveal That Tidal Sand Waves Affect the Spatial Distribution of Benthic Organisms and Sand Ripples

Damveld

Reijden

Cheng

et al. 2018

Geophysical Research Letters

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The sandy seabed of shallow coastal shelf seas displays morphological patterns of various dimensions. The seabed also harbors a rich ecosystem. Increasing pressure from human‐induced disturbances necessitates further study on drivers of benthic community distributions over morphological patterns. Moreover, a greater understanding of the sand ripple distribution over tidal sand waves may improve morphological model predictions. Here we analyzed the biotic abundance and ripple morphology in sand wave troughs and crests using video transects. We found that both the epibenthos and endobenthos are significantly more abundant in sand wave troughs, where ripples are less abundant and more irregularly shaped. Finally, we show that camera systems are relatively quick and effective tools to study biotic spatial patterns in relation to seabed morphology.

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Section: Discussionmentioning

confidence: 99%

Video Transects Reveal That Tidal Sand Waves Affect the Spatial Distribution of Benthic Organisms and Sand Ripples

Damveld

Reijden

Cheng

et al. 2018

Geophysical Research Letters

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“…Finally, following Van Oyen et al (2013), we assume that the sediment composition is normally distributed on the phi‐scale. As a consequence, we define a probability density function (PDF) according to

p_{0} = \frac{1}{σ_{normald} \sqrt{2 π}} \exp ((), - \frac{1}{2} {([], \frac{ϕ - ϕ_{normalm}}{σ_{normald}})}^{2}) .

…”

Section: Model Formulationmentioning

confidence: 99%

Horizontal and Vertical Sediment Sorting in Tidal Sand Waves: Modeling the Finite‐Amplitude Stage

et al. 2020

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The bed of coastal seas displays a large number of rhythmic bed features, of which sand waves are relevant to study from an engineering perspective. Sediments tend to be well sorted over these bed forms, which is so far poorly understood in terms of modeling of finite-amplitude sand waves. Using Delft3D, we employ bed stratigraphy and consider four different grain-size classes, which are normally distributed on the phi scale. The standard deviation (sortedness) is then varied, whereas the geometric mean grain size is kept constant. The results show that, typically, the crests of sand waves are coarser than the troughs. Residual flow causes net sedimentation on the leeside of the crest, and, consequently, the general sorting pattern is distorted. Since larger grains experience a larger settling velocity, they are deposited on the upper lee slope, whereas the smaller grains are found on the lower lee slope. Due to sand wave migration, also, the internal structure of the sand wave is revealed, which follows the same sedimentation pattern as the lee slope surface. These results qualitatively agree with sorting patterns observed offshore. The sorting processes lead to longer wavelengths and lower wave heights, as a function of standard deviation. This relates to the dampening effect of suspended sediment transport for fine grains. Finally, it appears that the modeled wave heights fall in the same range as observations in the North Sea. These results are valuable for, for example, predicting the morphological response after engineering activities and determining suitable aggregates for sand extraction.

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“…e model by Hulscher (1996) was later extended in many other studies, for example by including wind-driven (Németh et al, 2002) and tide-driven (Besio et al, 2004) migra-tion, turbulence formulation (Komarova et al, 2000;Blondeaux et al, 2005b;Blondeaux et al, 2005a), suspended sediment transport (Blondeaux et al, 2005b;Blondeaux et al, 2005a), grain size dependencies (Van der Veen et al, 2006), heterogeneous sediment transport (Van Oyen et al, 2009a;Van Oyen et al, 2009b), biology (Borsje et al, 2009b;Borsje et al, 2009c), sand scarcity (Porcile et al, 2017) and storm processes (Campmans et al, 2017).…”

Section: 1: Linear Stability Analysismentioning

confidence: 99%

“…However, the majority of the current morphological sand wave models neglect the processes to describe sediment sorting over nite-amplitude sand waves. Some studies have investigated these processes in the small-amplitude regime (Van Oyen et al, 2009a;Van Oyen et al, 2013) and have revealed that grain size sorting considerably a ects the initial formation process of sand waves.…”

Section: G4mentioning

confidence: 99%

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The feedbacks among tidal sand waves, benthic organisms and sediment sorting processes

Damveld¹

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Sediment sorting along tidal sand waves: A comparison between field observations and theoretical predictions

Cited by 15 publications

References 34 publications

Video Transects Reveal That Tidal Sand Waves Affect the Spatial Distribution of Benthic Organisms and Sand Ripples

Video Transects Reveal That Tidal Sand Waves Affect the Spatial Distribution of Benthic Organisms and Sand Ripples

Horizontal and Vertical Sediment Sorting in Tidal Sand Waves: Modeling the Finite‐Amplitude Stage

The feedbacks among tidal sand waves, benthic organisms and sediment sorting processes

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