Challenges and improvements on high-performance river How numerical modelling. Road to a new era of computing using RiverFlow2D GPU
Book Chapter
Lacasta, A, Morales-Hernandez, M, Juez, C et al. (2016). Challenges and improvements on high-performance river How numerical modelling. Road to a new era of computing using RiverFlow2D GPU
. 2397-2400.
Lacasta, A, Morales-Hernandez, M, Juez, C et al. (2016). Challenges and improvements on high-performance river How numerical modelling. Road to a new era of computing using RiverFlow2D GPU
. 2397-2400.
In complex and relatively flat floodplains or where the flow is unconfined, ID models may not provide an adequate solution due to the limitations of uniform water velocity and constant water surface elevation on each cross section. This warrants the use of more accurate two-dimensional (2D) models. Yet, the numerical solution of the 2D dynamic equations and the requirement of flexible meshes to resolve complex terrain characteristics until recently had made 2D models considerably more demanding in computer times than 1D models. However, recent advances in massive parallelization techniques for 2D hydraulic models are able to reduce computer times by orders of magnitude making 2D applications competitive and practical for operational flood prediction in large river reaches. In this paper we highlight the numerical implementation of high-performance GPU algorithms in Riverflow2D, that is a GPU-enabled hydraulic modelling framework that exploits the capabilities of these new computational devices reducing the computational effort. The paper presents an application of the model to the Red River of the North in the USA.
