A critical assessment of the performance of standard 2D flood models based on results of 3D URANS simulations

D. V.Horna Munoz, S. G. Constantinescu

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

Evaluating the accuracy of 2D depth-averaged solvers to predict flood propagation in natural environments is one of the most important challenges to mitigate floods. This paper discusses the performance of SRH-2D, a standard 2D flood propagation solver in terms of predicted flood extent and depth-averaged velocity profiles in a complex bathymetry river reach for high flow conditions. The accuracy of the 2D solver is mainly evaluated based on comparison with results obtained using a 3D URANS two-phase flow model developed using the commercial software STAR-CCM+. The 2D model performance is evaluated for a steady-state test case. The domain contains a 7-km reach of the Iowa River near Iowa City and 2 river dams. Even though the SRH-2D depth-averaged velocities show the same pattern as the 3D depth-averaged results, the 2D model tends to underpredict the location and magnitude of the peak unit discharge inside the channel, especially in the regions where 3D effects are significant.

Idioma originalInglés
Título de la publicación alojadaRiver Flow - Proceedings of the International Conference on Fluvial Hydraulics, RIVER FLOW 2016
EditoresGeorge Constantinescu, Marcelo Garcia, Dan Hanes
EditorialCRC Press/Balkema
Páginas1885-1890
Número de páginas6
ISBN (versión impresa)9781138029132
DOI
EstadoPublicada - 2016
Publicado de forma externa
EventoInternational Conference on Fluvial Hydraulics, RIVER FLOW 2016 - St. Louis, Estados Unidos
Duración: 11 jul. 201614 jul. 2016

Serie de la publicación

NombreRiver Flow - Proceedings of the International Conference on Fluvial Hydraulics, RIVER FLOW 2016

Conferencia

ConferenciaInternational Conference on Fluvial Hydraulics, RIVER FLOW 2016
País/TerritorioEstados Unidos
CiudadSt. Louis
Período11/07/1614/07/16

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