Dynamic Coupling of Wave and Surge Models by Eulerian-Lagrangian Method

Li, Yok Sheung; Zhang, M. Y.

doi:10.1061/(asce)0733-950x(1997)123:1(1)

Cited by 18 publications

(5 citation statements)

References 22 publications

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“…The accuracy of overland flood prediction depends on the model resolution. Lots of storm surge model construct model resolution on the order of hundreds of meters or kilometers, which are not sufficient to represent small topographic features [16,17].…”

Section: Introductionmentioning

confidence: 99%

Modeling Flood Inundation Induced by River Flow and Storm Surges over a River Basin

Chen

Liu

2014

Water

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Low-lying coastal regions and their populations are at risk during storm surge events and high freshwater discharges from upriver. An integrated storm surge and flood inundation modeling system was used to simulate storm surge and inundation in the Tsengwen River basin and the adjacent coastal area in southern Taiwan. A three-dimensional hydrodynamic model with an unstructured grid was used, which was driven by the tidal elevation at the open boundaries and freshwater discharge at the upriver boundary. The model was validated against the observed water levels for three typhoon events. The simulation results for the model were in reasonable agreement with the observational data. The model was then applied to investigate the effects of a storm surge, freshwater discharge, and a storm surge combined with freshwater discharge during an extreme typhoon event. The super Typhoon Haiyan (2013) was artificially shifted to hit Taiwan: the modeling results showed that the inundation area and depth would cause severe overbank flow and coastal flooding for a 200 year return period flow. A high-resolution grid model is essential for the accurate simulation of storm surges and inundation. OPEN ACCESSWater 2014, 6 3183

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Section: Introductionmentioning

confidence: 99%

Modeling Flood Inundation Induced by River Flow and Storm Surges over a River Basin

Chen

Liu

2014

Water

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“…Several successful applications of the model have been reported [e.g. Casulli and Cattani, 1994;Stansby and Lloyd, 1997;Li and Zhang, 1997;Lu and Wai, 1998;Chen et al, 2003]. This numerical method together with an operator splitting method [Lu and Wai, 1998] will be employed in the present model to discretize the governing equations in each module.…”

Section: Coupling Proceduresmentioning

confidence: 99%

A 3-D Wave-Current Driven Coastal Sediment Transport Model

Wai

Chen

2004

Coastal Engineering Journal

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Most of the existing sediment transport models are not synchronously driven by both the wave field and the flow field. This paper describes a 3D sediment transport model with waves and currents directly coupled within the model to continuously account for different-scale activities especially those that have significant contribution to local sediment transport processes such as formation of sediment plumes and turbidity maxima. A practical issue in modeling coastal sediment transport, besides the concern of model accuracy, is the efficiency of the model. In the present model, the wave action equation, instead of the computational demanding elliptic mild-slope equation, is used to calculate the wave parameters. The wave action equations take into account wave refraction and diffraction as well as the tidal hydrodynamic modification. The calculation of the wave and current forcing is coupled during the time marching process so that the effects due to short-term activities can be considered. The model has been verified against laboratory measurements and has also been applied to simulate actual sediment transport situations in the Pearl River Estuary (PRE), China. It has been quantitatively shown that the suspended sediment concentration in the PRE increases significantly when waves are present. Sediment deposition occurs at the upstream region of the PRE while erosion takes place mostly at the down-estuary region due to exposure to wave actions.

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“…And the interpretation of sea level fluctuations requires an understanding of the action of complex oceanic elements such as tides, waves, oceanic winds, and sea surface pressure, and the importance of nonlinearity in relation to each element has been proposed by many researchers (Heaps [13]; Wolf et al [14]; Tolman, [15]; Mastenbroek et al [16]). e numerical simulations considering the interaction between the wave model and the storm surge model have been carried out in Li and Zhang [17] and Ozer et al [18]. In addition, Peng et al [19] analyzed the characteristics of storm surge and inundation according to changes of central air pressure, wind speed, and moving speed of each route after selecting 10 virtual storms in North Carolina Sea.…”

Section: Introductionmentioning

confidence: 99%

Forecasting of Hazard Zone due to Storm Surge Using SIND Model

Kim

Yoo

Lee

2021

Advances in Civil Engineering

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We have developed the SIND (scientific interpolation for natural disasters) model to forecast natural hazard zone for storm surge. Most previous studies have been conducted to predict hazard zone with numerical simulations based on various scenarios. It is hard to predict hazard zone for all scenarios and to respond immediately because most numerical models are requested a long simulation time and complicated postprocess, especially in coastal engineering. Thus, in this study, the SIND model was developed to overcome these limitations. The principal developing methods are the scientific interpolation for risk grades and trial and error for parameters embedded in the governing equation. Even designed with hatch files, applying disaster characteristics such as the risk propagation, the governing equation for storm surge in coastal lines was induced from the mathematical solver, COMSOL Multiphysics software that solves partial differential equations for multiple physics using FEM method. The verification process was performed through comparison with the official reference, and the accuracy was calculated with a shape similarity indicating the geometric similarity of the hazard zone. It was composed of position, shape, and area criteria. The accuracy of about 80% in terms of shape similarity was archived. The strength of the model is high accuracy and fast calculation time. It took only less than few seconds to create a hazard map for each scenario. As future works, if the characteristics of other disasters would be understood well, it would be able to present risk propagation induced from each natural disaster in a short term, which should help the decision making for EAP.

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Dynamic Coupling of Wave and Surge Models by Eulerian-Lagrangian Method

Cited by 18 publications

References 22 publications

Modeling Flood Inundation Induced by River Flow and Storm Surges over a River Basin

Modeling Flood Inundation Induced by River Flow and Storm Surges over a River Basin

A 3-D Wave-Current Driven Coastal Sediment Transport Model

Forecasting of Hazard Zone due to Storm Surge Using SIND Model

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