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J. Mar. Sci. Eng. 2018, 6(3), 84;

Capturing Physical Dispersion Using a Nonlinear Shallow Water Model

Department of Ocean Engineering, Texas A&M University at Galveston, Galveston, TX 77554, USA
Laboratory of Computing Hydromechanics and Oceanography, Special Research Bureau for Automation of Marine Researches, Far Eastern Branch of Russian Academy of Sciences, Yuzhno-Sakhalinsk 693023, Russia
Department of Applied Mathematics, Nizhny Novgorod State Technical University n.a. R.E. Alekseeva, Nizhny Novgorod 603950, Russia
Department of Civil Engineering, Ocean Engineering Research Center, Ankara 06800, Turkey
Author to whom correspondence should be addressed.
Received: 9 May 2018 / Revised: 3 July 2018 / Accepted: 4 July 2018 / Published: 9 July 2018
(This article belongs to the Special Issue Tsunami Science and Engineering II)
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Predicting the arrival time of natural hazards such as tsunamis is of very high importance to the coastal community. One of the most effective techniques to predict tsunami propagation and arrival time is the utilization of numerical solutions. Numerical approaches of Nonlinear Shallow Water Equations (NLSWEs) and nonlinear Boussinesq-Type Equations (BTEs) are two of the most common numerical techniques for tsunami modeling and evaluation. BTEs use implicit schemes to achieve more accurate results compromising computational time, while NLSWEs are sometimes preferred due to their computational efficiency. Nonetheless, the term accounting for physical dispersion is not inherited in NLSWEs, calling for their consideration and evaluation. In the present study, the tsunami numerical model NAMI DANCE, which utilizes NLSWEs, is applied to previously reported problems in the literature using different grid sizes to investigate dispersion effects. Following certain conditions for grid size, time step and water depth, the simulation results show a fairly good agreement with the available models showing the capability of NAMI DANCE to capture small physical dispersion. It is confirmed that the current model is an acceptable alternative for BTEs when small dispersion effects are considered. View Full-Text
Keywords: Nonlinear Shallow Water Equations; NAMI DANCE model; Boussinesq-Type Equations; grid size Nonlinear Shallow Water Equations; NAMI DANCE model; Boussinesq-Type Equations; grid size

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Kian, R.; Horrillo, J.; Zaytsev, A.; Yalciner, A.C. Capturing Physical Dispersion Using a Nonlinear Shallow Water Model. J. Mar. Sci. Eng. 2018, 6, 84.

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