A Robust Well- Balanced Finite Volume Scheme for the One Dimensional Shallow Water

The aim of this study was building a finite volume approach for numerically solving one-dimensional shallow water equations, which applies to flat and non-flat terrain. The devised approach exhibits simplicity and accuracy throughout the time integration process. The proposed methodology used a widely recognized Harten Lax-Leer (HLL) solver for flux calculation. The suggested finite volume technique is a well-balanced, conservative, non-oscillatory approach ideal for computing the flow depth in various flow regimes of shallow water equations. The developed finite volume model dealt with the steady state of still water in a lake at rest. In addition, the model was validated by applying it to several benchmark tests. The results showed a high concurrence with analytical solutions based on the statistical tests. For the subcritical condition, the standard deviation was 5.73E-03, the root mean square error was 5.84E-03, and the coefficient of determination was 0.9994. For the supercritical condition, the standard deviation was 3.3E-02, the root mean square error was 3.334E-02, and the coefficient of determination was 0.998.Furthermore, the suggested model effectively simulatesthe Hishkaro River's flow during the flood season.

Institutions

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2024-12-01
DOI
https://doi.org/10.61263/mjes.v3i2.106
Primary Topic
Flood Risk Assessment and Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Robust Well- Balanced Finite Volume Scheme for the One Dimensional Shallow Water

SHILAP Revista de lepidopterología
Flood Risk Assessment and Management
article

A Robust Well- Balanced Finite Volume Scheme for the One Dimensional Shallow Water

article en

Abstract

The aim of this study was building a finite volume approach for numerically solving one-dimensional shallow water equations, which applies to flat and non-flat terrain. The devised approach exhibits simplicity and accuracy throughout the time integration process. The proposed methodology used a widely recognized Harten Lax-Leer (HLL) solver for flux calculation. The suggested finite volume technique is a well-balanced, conservative, non-oscillatory approach ideal for computing the flow depth in various flow regimes of shallow water equations. The developed finite volume model dealt with the steady state of still water in a lake at rest. In addition, the model was validated by applying it to several benchmark tests. The results showed a high concurrence with analytical solutions based on the statistical tests. For the subcritical condition, the standard deviation was 5.73E-03, the root mean square error was 5.84E-03, and the coefficient of determination was 0.9994. For the supercritical condition, the standard deviation was 3.3E-02, the root mean square error was 3.334E-02, and the coefficient of determination was 0.998.Furthermore, the suggested model effectively simulatesthe Hishkaro River's flow during the flood season.

SHILAP Revista de lepidopterología
University of Duhok (IQ)
Openalex Percentile: Top 55%
Flood Risk Assessment and Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.