A numerical model to simulate the formation and subsequent evolution of tidal channel networks

Maanen, Barend van; Coco, Giovanni; Bryan, Karin R

doi:10.1080/14488353.2011.11463969

Cited by 18 publications

(11 citation statements)

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“…In the case of a tidal basin based on the Ameland inlet, the tool predicts a maximum depth at the mouth of 20 m below the high water level. This seems appropriate when compared with modelled [31,57] and measured values [29] (Figure A8). Flow velocities at the mouth are in the order of 1 ms −1 , which is comparable with measured and modelled values for tidal basins in equilibrium [57,58].…”

Section: Applicability To End-member Systems: a River An Ideal Estuamentioning

confidence: 82%

“…It should be noted that, in the last case, along-channel width is measured perpendicular to the tidal channels, which means that the transects for an idealised tidal basin are semicircles. The predictions for the Tran De branch were compared with measured data [54][55][56] and the predictions for the tidal basin were compared with numerical model results [31,57].…”

Section: Tool Application To End-member Casesmentioning

confidence: 99%

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Empirical Assessment Tool for Bathymetry, Flow Velocity and Salinity in Estuaries Based on Tidal Amplitude and Remotely-Sensed Imagery

et al. 2018

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Hydromorphological data for many estuaries worldwide is scarce and usually limited to offshore tidal amplitude and remotely-sensed imagery. In many projects, information about morphology and intertidal area is needed to assess the effects of human interventions and rising sea-level on the natural depth distribution and on changing habitats. Habitat area depends on the spatial pattern of intertidal area, inundation time, peak flow velocities and salinity. While numerical models can reproduce these spatial patterns fairly well, their data need and computational costs are high and for each case a new model must be developed. Here, we present a Python tool that includes a comprehensive set of relations that predicts the hydrodynamics, bed elevation and the patterns of channels and bars in mere seconds. Predictions are based on a combination of empirical relations derived from natural estuaries, including a novel predictor for cross-sectional depth distributions, which is dependent on the along-channel width profile. Flow velocity, an important habitat characteristic, is calculated with a new correlation between depth below high water level and peak tidal flow velocity, which was based on spatial numerical modelling. Salinity is calculated from estuarine geometry and flow conditions. The tool only requires an along-channel width profile and tidal amplitude, making it useful for quick assessments, for example of potential habitat in ecology, when only remotely-sensed imagery is available.

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Section: Applicability To End-member Systems: a River An Ideal Estuamentioning

confidence: 82%

Section: Tool Application To End-member Casesmentioning

confidence: 99%

Empirical Assessment Tool for Bathymetry, Flow Velocity and Salinity in Estuaries Based on Tidal Amplitude and Remotely-Sensed Imagery

et al. 2018

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“…Some studies have confirmed that TA and its associated residual sediment transport are gradually reduced when an evolving tidal system is approaching a morphologically stable state (e.g. Lanzoni and Seminara, 2002;van der Wegen and Roelvink, 2008;van Maanen et al, 2011;Guo et al, 2014). Recent studies based on numerical models also confirm that morphological equilibrium requires that the system adjusts itself towards reducing flood or ebb dominance (Dastgheib et al, 2008;Toffolon and Lanzoni, 2010;van der Wegen, 2013;Zhou et al, 2014b).…”

Section: Introductionmentioning

confidence: 93%

On the stability relationships between tidal asymmetry and morphologies of tidal basins and estuaries

Zhou

Coco

Townend

et al. 2018

Earth Surf Processes Landf

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Simple stability relationships are practically useful to provide a rapid assessment of coastal and estuarine landforms in response to human interventions and long‐term climate change. In this contribution, we review a variety of simple stability relationships which are based on the analysis of tidal asymmetry (TA). Most of the existing TA‐based stability relationships are derived using the one‐dimensional tidal flow equations assuming a certain regular shape of the tidal channel cross‐sections. To facilitate analytical solutions, specific assumptions inevitably need to be made, for example by linearizing the friction term and dropping some negligible terms in the tidal flow equations. We find that three major types of TA‐based stability relationships have been proposed between three non‐dimensional channel geometric ratios (represented by the ratio of channel widths, ratio of wet surface areas and ratio of storage volumes) and the tide‐related parameter a/h (i.e. the ratio between tidal amplitude and mean water depth). Based on established geometric relations, we use these non‐dimensional ratios to restate the existing relationships so that they are directly comparable. Available datasets are further extended to examine the utility of these TA‐based relationships. Although a certain agreement is shown for these relationships, we also observe a large scatter of data points which are collected in different types of landscape, hydrodynamic and sedimentological settings over the world. We discuss in detail the potential reasons for this large scatter and subsequently elaborate on the limited applicability of the various TA‐based stability relationships for practical use. We highlight the need to delve further into what constitutes equilibrium and what is needed to develop more robust measures to determine the morphological state of these systems. Copyright © 2018 John Wiley & Sons, Ltd.

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“…With a highly schematized model setup, realistic reproduction of morphological patterns and morphodynamic behavior is possible over timescales of centuries to millennia [Hibma et al 2003b, Gelleynse et al, 2010. Others described successful modeling efforts of characteristic morphological features such as inlet channel orientation , Dissanayake et al, 2009, pattern development [Marciano et al, 2005, Van Maanen et al, 2011, Van der Wegen and Roelvink, 2012, and the relationship between tidal prism and crosssectional area [Van der Wegen et al, 2010a]. Ganju et al [2009] with ROMS and Van der Wegen et al, [2010b with Delft3D showed that a process-based modeling approach can lead to significant skill in predicting decadal morphological development in a complex estuarine environment.…”

Section: Modeling Effortsmentioning

confidence: 99%

“…, , Van der Wegen and Roelvink , , Van der Wegen et al ., , Gelleynse et al ., ]. Others described successful modeling efforts of characteristic morphological features such as inlet channel orientation [ Dastgheib et al ., , Dissanayake et al ., ], pattern development [ Marciano et al ., , Van Maanen et al ., , Van der Wegen and Roelvink , ], and the relationship between tidal prism and cross‐sectional area [ Van der Wegen et al ., ]. Ganju et al .…”

Section: Introductionmentioning

confidence: 99%

Numerical modeling of the impact of sea level rise on tidal basin morphodynamics

Wegen

2013

JGR Earth Surface

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[1] The morphod ynamic adaptation of estuaries to sea level fluctuations has been subject of geological studies based on sediment core analysis and qualitative modeling efforts. Limited attention has been paid to understanding bathymetric evolution based on a detailed process level. The current study aims to explore governing morphodynamic processes and timescales by application of a 2D, process-based modeling approach. The starting point of the analysis is an 80 km long and 2.5 km wide basin. Starting from a sandy flat bed, stable channel-shoal patterns emerge within a century under semidiurnal tidal forcing. We impose a gradual rise in sea level (up to 0.67 m per century) and compare the results with a run excluding sea level rise (SLR). Model results show that SLR drowns the basin so that intertidal area disappears. This process generates tidal asymmetry reflected by an emerging M 4 tidal constituent. The basin shifts from exporting to importing sediment reflected by shoal patterns migrating in the landward direction. The landward sediment transport remains too limited to compensate for the loss in intertidal area and to restore equilibrium within a millennial time scale. Further sensitivity tests on initial bathymetry, tidal amplitude forcing, and rate of SLR show that shallow basins with limited tidal forcing are most vulnerable to SLR.

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A numerical model to simulate the formation and subsequent evolution of tidal channel networks

Cited by 18 publications

References 1 publication

Empirical Assessment Tool for Bathymetry, Flow Velocity and Salinity in Estuaries Based on Tidal Amplitude and Remotely-Sensed Imagery

Empirical Assessment Tool for Bathymetry, Flow Velocity and Salinity in Estuaries Based on Tidal Amplitude and Remotely-Sensed Imagery

On the stability relationships between tidal asymmetry and morphologies of tidal basins and estuaries

Numerical modeling of the impact of sea level rise on tidal basin morphodynamics

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