Lagoon Sediment Dynamics: A Coupled Model to Study a Medium-Term Silting of Tidal Channels

Petti, Marco; Bosa, Silvia; Pascolo, Sara

doi:10.3390/w10050569

Cited by 35 publications

(74 citation statements)

References 49 publications

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“…The friction slope is calculated with the Keulegan formulation, which is used for calculating the transport rate in the sediment transport and bed variation module. More details regarding the water flow equations can be found in the studies that were conducted by Cui and Parker [15,[17][18][19][20]. The flow module interacts with sediment transport and bed variation module that is based on the mechanism of quasi-steady morphodynamic time-stepping, in which the interaction between the flow and bed profile is considered in two different times.…”

Section: Methodsmentioning

confidence: 99%

Advanced Numerical Modeling of Sediment Transport in Gravel-Bed Rivers

Bui

Rutschmann

2019

Water

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Understanding the alterations of gravel bed structures, sediment transport, and the effects on aquatic habitat play an essential role in eco-hydraulic and sediment transport management. In recent years, the evaluation of changes of void in bed materials has attracted more concern. However, analyzing the morphological changes and grain size distribution that are associated with the porosity variations in gravel-bed rivers are still challenging. This study develops a new model using a multi-layer’s concept to simulate morphological changes and grain size distribution, taking into account the porosity variabilities in a gravel-bed river based on the mass conservation for each size fraction and the exchange of fine sediments between the surface and subsurface layers. The Discrete Element Method (DEM) is applied to model infiltration processes and to confirm the effects of the relative size of fine sediment to gravel on the infiltration depth. Further, the exchange rate and the bed porosity are estimated while using empirical formulae. The new model was tested on three straight channels. Analyzing the calculated results and comparing with the observed data show that the new model can successfully simulate sediment transport, grain sorting processes, and bed change in gravel-bed rivers.

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Section: Methodsmentioning

confidence: 99%

Advanced Numerical Modeling of Sediment Transport in Gravel-Bed Rivers

Bui

Rutschmann

2019

Water

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“…The Marano and Grado lagoon is a transitional environment located in the north-east of Italy (Figure 1a,b), between the river mouths of the Tagliamento river in the west and the Isonzo river in the east. The lagoon spreads over an area of about 160 km 2 , and it extends for 32 km alongside the coastline with an average width of 5 km [20,33]. It is one of the largest lagoons in Italy, second only to the Venice lagoon, and it is connected to the Adriatic Sea through six tidal inlets (Figure 2a), from which a network of channels branches out towards the inner part of the lagoon with progressively The lagoon spreads over an area of about 160 km 2 , and it extends for 32 km alongside the coastline with an average width of 5 km [20,33].…”

Section: Study Site and Historical Analysismentioning

confidence: 99%

“…To this purpose, process-based morphodynamic modeling has shown it is capable of providing better insight into the respective roles of tides and waves in driving morphological changes of tidal inlets and to predict a realistic evolution of the coastline and of the bed morphology. Several modeling systems have been applied to analyze the interaction between currents, waves, and bathymetry in coastal environments numerically [13][14][15][16][17][18][19][20][21][22]. The most widely used methodology consists of coupling different modules: a hydrodynamic model based on the classical shallow water equations, a wind wave model to generate or propagate wave fields nearshore and a morphodynamic model to compute sediment transport and bed evolution [7,13,[15][16][17]19,20,22].…”

Section: Introductionmentioning

confidence: 99%

An Integrated Approach to Study the Morphodynamics of the Lignano Tidal Inlet

Petti

Bosa

Pascolo

et al. 2020

JMSE

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The morphological evolution of a tidal inlet is the combined result of tides and wind waves, which interact in a non-linear manner and over very different time-scales. Likewise, the presence of maritime structures built in the vicinity of the tidal inlet, for coastal or port defense or to stabilize the inlet itself, can greatly affect this dynamic equilibrium, changing erosional and depositional patterns of the adjacent shoreline. In this study, the narrowing phenomenon of the Lignano tidal inlet subsequent to the construction of the related port, is examined through an integrated approach in order to propose and verify a possible form of evolution. This approach is the result of the combination of three methods: the historical reconstruction of the shifting of the coastline, an empirical scheme which describes the qualitative morphology of a mixed-energy tidal inlet, and a process-based morphodynamic modeling, which adopts a bi-dimensional depth averaged (2DH) approach. The application of numerical modeling has required the definition of a reduced input set of data representing an average year, in particular for wind and tidal conditions, including the meteorological component. The magnitude and the directions of the simulated dominant sediment transport are coherent with real processes both from a qualitative and a quantitative point of view.

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“…The extreme weather might significantly affect wave patterns, flow conditions, sediment transport, and bathymetric changes in coastal region-related climate changes [14][15][16]. The tsunami wave, as an example, was found to interact with sea ice flexure and trigger the Sulzberger Ice Shelf calving in…”

Section: Introductionmentioning

confidence: 99%

Tsunami Intrusion and River Ice Movement

Pan

Shen

2019

Water

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A two-dimensional wave model coupled with ice dynamics is developed to evaluate ice effects on shallow water wave propagation on a beach and in a channel. The nonlinear Boussinesq equations with ice effects are derived and solved by the hybrid technique of the Godunov-type finite volume method and finite difference method with the third-order Runge-Kutta method for time integration. The shock capturing method enables the model to simulate complex flows over irregular topography. The model is capable of simulating wave propagations accurately, including non-hydrostatic water pressure and wave dispersions. The ice dynamic module utilizes a Lagrangian discrete parcel method, based on smoothed particle hydrodynamics. The Boussinesq wave model is validated with an analytical solution of water surface oscillation in a parabolic container, an analytical solitary wave propagation in a flat channel, and experimental data on tsunami wave propagations. The validated model is then applied to investigate the interaction between ice and tsunami wave propagation, in terms of ice attenuation on tsunami wave propagations over a beach, ice deposition on the beach driven by the tsunami wave, and ice jam formation and release in a coastal channel with the intrusion of the tsunami wave. The simulated results demonstrated the interactions between tsunami waves and surface ice, including the maximum run up, ice movement along the beach, and ice jamming in a channel.the Honshu earthquake that occurred on 11 March 2011 [17]. The Honshu tsunami wave produced wave run-up heights of 5 m and structure damages from the floating sea ice with thickness of about 0.3 m in the Kuril Islands were observed [18]. Although a tsunami accompanied by floating ice is destructive, the interaction between tsunami wave propagation and floating ice movement has not been quantitatively studied. However, significant progress has been made in ice dynamic studies, especially in terms of mathematical modeling. Shen et al. [19] developed a one-dimensional river ice model to examine the leading-edge propagation for ice jam and potential flooding risks. Later, the two-dimensional ice dynamic model was developed to explore the interactions between unsteady flows and ice movement [20][21][22][23]. Such techniques contributed to the understanding of ice jamming formation and release, and ice cover breakup [20][21][22][23].In the literature, the BE is rarely applied to investigate wave propagations with ice effects, while the ice dynamic models have not been coupled with the tsunami wave. The main objective of this study is to investigate the interaction between surface ice transport and tsunami wave propagation. This paper first proposes a two-dimensional Boussinesq wave model that is coupled with ice dynamics. Then, the model is validated with analytical solutions for oscillatory flows, theoretical solitary wave, and an experimental tsunami wave. The model is finally applied to simulate tsunami wave propagation with ice, including surface ice transport over a beach, i...

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Lagoon Sediment Dynamics: A Coupled Model to Study a Medium-Term Silting of Tidal Channels

Cited by 35 publications

References 49 publications

Advanced Numerical Modeling of Sediment Transport in Gravel-Bed Rivers

Advanced Numerical Modeling of Sediment Transport in Gravel-Bed Rivers

An Integrated Approach to Study the Morphodynamics of the Lignano Tidal Inlet

Tsunami Intrusion and River Ice Movement

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