Encyclopedia of Hydrological Sciences 2005
DOI: 10.1002/0470848944.hsa025a
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Numerical Flood Simulation

Abstract: This contribution describes the state of the art of numerical flood simulation, in particular, the models based upon hydraulic laws. Both theory and practical aspects are discussed. In the introduction, various types of applications of these models are listed with their requirements in terms of robustness, accuracy, speed of operation, and engineering staff time. After introducing the 1D Saint Venant unsteady flow equations and describing the meaning of their terms, the concepts of kinematic and diffusive wave… Show more

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Cited by 27 publications
(17 citation statements)
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“…This is further discussed in Section 2.3. We employ a solver that combines Gaussian elimination and conjugate gradients that was developed earlier as part of the SOBEK1D2D system (Stelling and Verwey 2005). The solver is discussed in detail in Section 2.4.…”
Section: Numerical Approachmentioning
confidence: 99%
“…This is further discussed in Section 2.3. We employ a solver that combines Gaussian elimination and conjugate gradients that was developed earlier as part of the SOBEK1D2D system (Stelling and Verwey 2005). The solver is discussed in detail in Section 2.4.…”
Section: Numerical Approachmentioning
confidence: 99%
“…(1)-(3) are available in Stelling and Duinmeijer (2003), Stelling and Verwey (2005) and Dhondia and Stelling (2002). Adding a detailed description on the advanced numeric solver is ignored here since such is outside the scope of this work.…”
Section: Model Approachmentioning
confidence: 99%
“…In the calculation it is assumed that the resistance relation for steady flow is also applicable to unsteady flow (e.g. Stelling and Verwey, 2005), for instance a flood. Upstream and downstream boundary conditions, for instance, the upstream discharge as a function of time and the downstream water depth, need to be known, just as the initial flow conditions for each spatial step.…”
Section: How To Apply the Form Drag Model In A Morphodynamic Model Symentioning
confidence: 99%