Technical Papers
Jan 29, 2015

Overland Flow Modeling with the Shallow Water Equations Using a Well-Balanced Numerical Scheme: Better Predictions or Just More Complexity

Publication: Journal of Hydrologic Engineering
Volume 20, Issue 10

Abstract

In the last decades, several physically based hydrological modeling approaches of various complexities have been developed that solve shallow water equations or their approximations using various numerical methods. Users of the model may not necessarily know the different hypotheses underlying these development and simplifications, and it might therefore be difficult to judge if a code is well adapted to their objectives and test case configurations. This paper aims to compare the predictive abilities of different models and evaluate potential gain by using an advanced numerical scheme for modeling runoff. Four different codes are presented, each based on either shallow water or kinematic wave equations, and using either the finite volume or finite difference method. These four numerical codes are compared with different test cases, allowing to emphasize their main strengths and weaknesses. Results show that, for relatively simple configurations, kinematic wave equations solved with the finite volume method represent an interesting option. Nevertheless, as it appears to be limited in case of discontinuous topography or strong spatial heterogeneities, for these cases they advise the use of shallow water equations solved with the finite volume method.

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Go to Journal of Hydrologic Engineering
Journal of Hydrologic Engineering
Volume 20Issue 10October 2015

History

Received: May 23, 2014
Accepted: Dec 8, 2014
Published online: Jan 29, 2015
Discussion open until: Jun 29, 2015
Published in print: Oct 1, 2015

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M. Rousseau [email protected]
BRGM, 45060 Orléans Cedex 2, France (corresponding author). E-mail: [email protected]
BRGM, 45060 Orléans Cedex 2, France. E-mail: [email protected]
O. Delestre [email protected]
Laboratoire de Mathématiques J.A. Dieudonné & EPU Nice–Sophia Antipolis, Université de Nice–Sophia Antipolis, Parc Valrose, 06108 Nice Cedex 02, France. E-mail: [email protected]
BRGM, 45060 Orléans Cedex 2, France. E-mail: [email protected]
Professor, MAPMO UMR CNRS 6628, Université, UFR Siences, Bâtiment de mathématiques, B.PB 6759 45067 Orléans Cedex 2, France. E-mail: [email protected]
Professor, MAPMO UMR CNRS 6628, Université, UFR Siences, Bâtiment de mathématiques, B.PB 6759 45067 Orléans Cedex 2, France. E-mail: [email protected]

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