The effects of dispersion and non-linearity on the simulation of landslide-generated waves using the reduced two-layer non-hydrostatic model

IF 2.1 3区 地球科学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Dede Tarwidi, Sri Redjeki Pudjaprasetya, Didit Adytia
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引用次数: 0

Abstract

This paper revisits the previously developed NH-2LR (reduced two-layer non-hydrostatic) model. The governing equations and numerical schemes are written in terms of normalized variables, with two dimensionless parameters representing dispersion and non-linearity. By utilizing analytical solutions and laboratory experiments, this study aims to validate the numerical NH-2LR model and investigate the effects of dispersion and non-linearity on the resulting waves. The first validation employs the analytical solution of the linear and fully dispersive model of a landslide moving with constant velocity on a flat bottom. The second validation involves a landslide hump sliding over a constant beach slope. A closer look at the run-up height reveals that this case is non-dispersive. Furthermore, we found that the dispersion effect was evident from the beginning of the wave formation process. Finally, we compare our numerical results to experiments on submarine landslides on sloping beaches. We found that dispersion is essential in the early generation and propagation of waves in off-shore regions. Moreover, non-linearity significantly influences the maximum run-up of landslide-generated waves.

用简化的两层非水静力模型模拟滑坡波时,频散和非线性的影响
本文回顾了以前开发的NH-2LR(简化两层非流体静力)模型。控制方程和数值格式用归一化变量表示,用两个无量纲参数表示色散和非线性。通过解析解和室内实验,验证了数值NH-2LR模型,并研究了色散和非线性对所得波的影响。第一次验证采用了滑坡在平坦底部匀速运动的线性和完全分散模型的解析解。第二个验证涉及一个在恒定海滩斜坡上滑动的滑坡驼峰。仔细观察助跑高度可以发现,这种情况是非弥散的。此外,我们发现色散效应从波形成过程开始就很明显。最后,将数值计算结果与斜坡滩海底滑坡试验结果进行了比较。我们发现,在近海地区波浪的早期产生和传播中,色散是必不可少的。此外,非线性对滑坡波的最大爬高有显著影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Computational Geosciences
Computational Geosciences 地学-地球科学综合
CiteScore
6.10
自引率
4.00%
发文量
63
审稿时长
6-12 weeks
期刊介绍: Computational Geosciences publishes high quality papers on mathematical modeling, simulation, numerical analysis, and other computational aspects of the geosciences. In particular the journal is focused on advanced numerical methods for the simulation of subsurface flow and transport, and associated aspects such as discretization, gridding, upscaling, optimization, data assimilation, uncertainty assessment, and high performance parallel and grid computing. Papers treating similar topics but with applications to other fields in the geosciences, such as geomechanics, geophysics, oceanography, or meteorology, will also be considered. The journal provides a platform for interaction and multidisciplinary collaboration among diverse scientific groups, from both academia and industry, which share an interest in developing mathematical models and efficient algorithms for solving them, such as mathematicians, engineers, chemists, physicists, and geoscientists.
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