Morphological modelling of intertidal mudflats: the role of cross-shore tidal currents

Pritchard, David; Hogg, Andrew J.; Roberts, W.

doi:10.1016/s0278-4343(02)00044-4

Cited by 85 publications

(102 citation statements)

References 12 publications

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“…Moreover, when the equilibrium configuration is reached, the tidal flat bottom is below the critical shear stress for erosion for most of the time. The concave-up equilibrium profile of the tidal flat resulting from our simulations is in agreement with the results of tidal flat models and field observations [Pritchard et al, 2002;Waeles et al, 2004].…”

Section: Discussionsupporting

confidence: 89%

A numerical model for the coupled long‐term evolution of salt marshes and tidal flats

2010

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[1] A one-dimensional numerical model for the coupled long-term evolution of salt marshes and tidal flats is presented. The model framework includes tidal currents, wind waves, sediment erosion, and deposition, as well as the effect of vegetation on sediment dynamics. The model is used to explore the evolution of the marsh boundary under different scenarios of sediment supply and sea level rise. Numerical results show that vegetation determines the rate of marsh progradation and regression and plays a critical role in the redistribution of sediments within the intertidal area. Simulations indicate that the scarp between salt marsh and tidal flat is a distinctive feature of marsh retreat. For a given sediment supply the marsh can prograde or erode as a function of sea level rise. A low rate of sea level rise reduces the depth of the tidal flat increasing wave dissipation. Sediment deposition is thus favored, and the marsh boundary progrades. A high rate of sea level rise leads to a deeper tidal flat and therefore higher waves that erode the marsh boundary, leading to erosion. When the rate of sea level rise is too high the entire marsh drowns and is transformed into a tidal flat.Citation: Mariotti, G., and S. Fagherazzi (2010), A numerical model for the coupled long-term evolution of salt marshes and tidal flats,

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Section: Discussionsupporting

confidence: 89%

A numerical model for the coupled long‐term evolution of salt marshes and tidal flats

2010

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“…Numerical models based on nonlinear shallow-water equations (NSWE) have been shown to be capable of simulating the cross-shore hydrodynamics, sediment transport and morphodynamic processes in idealized tidal flats Pritchard et al, 2002;Pritchard and Hogg, 2003). Specifically, Pritchard and Hogg (2003) demonstrate that the NSWE model captures the turbid tidal edge, and the resulting sediment flux and morphodynamics can be explained by the settling-lag effects.…”

Section: Introductionmentioning

confidence: 99%

The landward and seaward mechanisms of fine-sediment transport across intertidal flats in the shallow-water region—A numerical investigation

Hsu

Chen

Ogston

2013

Continental Shelf Research

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“…It is to be noted that tidal flats are intertidal, soft sedimented deposits which are normally found between high-water and mean low-water spring tide datums (Dyer et al 2000) and are generally located in estuaries and associated low-energy marginal marine environments. Mudflat, mixed flat and sandflats are extensively studied by Cacchione et al (2002) and Pritchard et al (2002) that were based on grain size distributions and changes in facies. Muddy and sandy units are generally repeated in vertical section too as shown in Figs.…”

Section: Tidal Flatsmentioning

confidence: 99%

Integrated 3D facies modeling of the Mangahewa Formation, Maui Gas Field, Taranaki Basin, New Zealand

Haque

Islam

Shalaby

et al. 2018

J Petrol Explor Prod Technol

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Abstract3D seismic data, well logs, core-based lithofacies and photographs have been combined to interpret and model the depositional facies of the Mangahewa Formation of the Maui Gas Field, Taranaki Basin, New Zealand. The primary objective of the study is to generate a robust facies model for the Middle to Late Eocene (47-37 Ma) Mangahewa Formation of the field. The facies model has included eighteen depositional facies spatially distributed over the gas field. These facies are further subgrouped into three broad depositional facies associations, namely marginal marine, shallow marine and offshore environment. We have identified that marginal marine is the most dominant facies association (64%) within the model. The model visualizes estuarine and shoreface sand geobodies dominating over other facies within the model. Both geobodies comprise over 40% of all the facies interpreted in the field. The entire modeling process involves a novel stochastic approach using unique workflow that follows 3D gridding, coding of the facies classes and multiple iterations over the interpreted facies. The model therefore realistically visualizes potential facies responsible for "good"-quality reservoir sands in the Mangahewa Formation with possible retrogradation from older to younger succession.

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Morphological modelling of intertidal mudflats: the role of cross-shore tidal currents

Cited by 85 publications

References 12 publications

A numerical model for the coupled long‐term evolution of salt marshes and tidal flats

A numerical model for the coupled long‐term evolution of salt marshes and tidal flats

The landward and seaward mechanisms of fine-sediment transport across intertidal flats in the shallow-water region—A numerical investigation

Integrated 3D facies modeling of the Mangahewa Formation, Maui Gas Field, Taranaki Basin, New Zealand

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