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浅水方程中包含变地形和水平温度梯度的动力学通量向量分裂格式。

A kinetic flux vector splitting scheme for shallow water equations incorporating variable bottom topography and horizontal temperature gradients.

机构信息

COMSATS Institute of Information Technology, Park Road, Chak Shahzad Islamabad, Pakistan.

Institute of Space Technology, Islamabad, Pakistan.

出版信息

PLoS One. 2018 May 31;13(5):e0197500. doi: 10.1371/journal.pone.0197500. eCollection 2018.

Abstract

This paper is concerned with the derivation of a well-balanced kinetic scheme to approximate a shallow flow model incorporating non-flat bottom topography and horizontal temperature gradients. The considered model equations, also called as Ripa system, are the non-homogeneous shallow water equations considering temperature gradients and non-uniform bottom topography. Due to the presence of temperature gradient terms, the steady state at rest is of primary interest from the physical point of view. However, capturing of this steady state is a challenging task for the applied numerical methods. The proposed well-balanced kinetic flux vector splitting (KFVS) scheme is non-oscillatory and second order accurate. The second order accuracy of the scheme is obtained by considering a MUSCL-type initial reconstruction and Runge-Kutta time stepping method. The scheme is applied to solve the model equations in one and two space dimensions. Several numerical case studies are carried out to validate the proposed numerical algorithm. The numerical results obtained are compared with those of staggered central NT scheme. The results obtained are also in good agreement with the recently published results in the literature, verifying the potential, efficiency, accuracy and robustness of the suggested numerical scheme.

摘要

本文致力于推导一个平衡的动力学方案,以近似包含非平坦底部地形和水平温度梯度的浅层流动模型。所考虑的模型方程,也称为 Ripa 系统,是非均匀浅水方程,考虑了温度梯度和不均匀的底部地形。由于存在温度梯度项,从物理角度来看,静止时的稳态是主要关注的问题。然而,对于应用数值方法来说,捕捉这个稳态是一个具有挑战性的任务。所提出的平衡动力学通量向量分裂(KFVS)方案是非振荡的,并且是二阶精确的。通过考虑 MUSCL 型初始重建和龙格-库塔时间步长方法,获得了方案的二阶精度。该方案应用于一维和二维空间中模型方程的求解。进行了几个数值案例研究来验证所提出的数值算法。所得到的数值结果与交错中心 NT 方案的结果进行了比较。所得到的结果也与文献中最近发表的结果非常吻合,验证了所建议的数值方案的潜力、效率、准确性和鲁棒性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d486/5979031/d8d06da55120/pone.0197500.g001.jpg

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