BreZo

BreZo solves the shallow-water equations using a Godunov-type finite volume algorithm that has been optimized for wetting and drying applications involving natural topography and runs on an unstructured grid of triangular cells.

hydrodynamic flood simulationunstructured grid

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Contributor(s)

Initial contribute: 2019-07-10

Authorship

:  
Department of Civil and Environmental Engineering, University of California, United States
:  
Department of Civil and Environmental Engineering, University of California, United States
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Classification(s)

Application-focused categoriesNatural-perspectiveLand regions

Detailed Description

English {{currentDetailLanguage}} English

Quoted from: http://sanders.eng.uci.edu/brezo.html

BreZo solves the shallow-water equations using a Godunov-type finite volume algorithm that has been optimized for wetting and drying applications involving natural topography and runs on an unstructured grid of triangular cells. There are several versions of BreZo as a result of an ongoing research process, and we have explored the tradeoffs between schemes that are formally first and second-order accurate in space and time as well as schemes that solve scalar transport equations in addition to mass conservation and momentum balance equations. This site presents a scheme for flow simulation only that is formally first-order accurate but achieves close to second-order convergence rates in flooding applications involving natural topography because the model retains a second-order representation of terrain. In field-scale applications, depiction of terrain typically limits model accuracy.

The evolution of BreZo can be traced with several journal papers: Begnudelli and Sanders (2006) present the second-order accurate numerical scheme as well as BreZo's unique wetting and drying method. Begnudelli and Sanders (2007) present an application of BreZo in a dam-break modeling study, Sanders (2007) reports on the utility of on-line digital elevation models (DEMs) for flood inundation modeling, Begnudelli, Sanders and Bradford (2008) presents a novel scheme to improve accuracy by choosing variables for reconstruction at cell faces (required for application of approximate Riemann solver) according to the local Froude number, and Sanders (2008) presents a new local time-stepping scheme that improves run-time efficiency.

模型元数据

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Brett F. Sanders, Lorenzo Begnudelli (2019). BreZo, Model Item, OpenGMS, https://geomodeling.njnu.edu.cn/modelItem/0cb2c4f1-fe0e-4631-86ff-41e3f44dd96e
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Contributor(s)

Initial contribute : 2019-07-10

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Authorship

:  
Department of Civil and Environmental Engineering, University of California, United States
:  
Department of Civil and Environmental Engineering, University of California, United States
Is authorship not correct? Feed back

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