A non-uniform efficient grid type for GPU-parallel Shallow Water Equations models

Integration of a Levee Breach Erosion Model in a GPU‐Accelerated 2D Shallow Water Equations Code

“…The proposed model couples three modules: a hydrodynamic model (already presented in previous work; see Vacondio et al, , ) and two newly developed models for erosion and bank failure simulations. Moreover, a sediment transport model was implemented for comparison purposes (see Appendix ).…”

“…The model is implemented in a CUDA/C++ code, which exploits the intrinsic parallelization of computations on GPU devices, thus guaranteeing fast execution times compared to serial codes. More details on the scheme and implementation can be found in Vacondio et al (, ).…”

“…On the contrary, when both the river and the floodable area are simulated using fully 2D shallow water equations (SWE) models (e.g., Teng et al, ), these features can inherently be taken into account. In the past, the choice of using 1D‐2D models was often necessary to reduce the computational effort, but the same outcome can now be achieved by using modern high‐performance computing clusters and/or adopting parallelization techniques, such as implementing codes able to run on graphics processing units (GPUs; Dazzi et al, ; Vacondio et al, , ).…”

“…The present work aims at introducing an efficient numerical tool for the simulation of inundations generated by levee breaches, including a physically based prediction of the breach evolution (instead of a geometric approach) and avoiding the necessity of defining its characteristics a priori. The GPU‐accelerated 2D SWE numerical code PARFLOOD (Vacondio et al, , ) was coupled with an erosion model, in which an excess shear‐stress law is employed to predict the time evolution of the bottom elevation at the levee breach site as a function of the local hydrodynamic conditions and of the material characteristics. The model can be used for either noncohesive or cohesive embankment.…”

Hydraulic Characterization of River Networks Based on Flow Patterns Simulated by 2‐D Shallow Water Modeling: Scaling Properties, Multifractal Interpretation, and Perspectives for Channel Heads Detection

“…The use of these equations in rainfall‐runoff modeling has been limited in the past essentially for three reasons: stability problems of the numerical schemes used for the solution of the SWEs, prohibitive computational times required to run the numerical models, and the lack of high‐resolution data which, therefore, did not completely justify the use of such complex modeling and, in particular, the presence of the inertial terms. Nowadays, no particular limitation seems to exist in the application of the 2‐D SWEs for the simulation of surface runoff at a basin scale due to the development of more and more accurate numerical schemes, often running in parallel computing environments (e.g., Juez et al, ; Petaccia et al, ; Vacondio et al, ; Wittmann et al, ), reducing dramatically the computational costs of the simulations. Moreover, the increasing availability of high‐topographic detail offered by Light Detection and Ranging (LiDAR) surveys allows the use of fine meshes that, in turn, gives the opportunity for the resolution of small‐scale flow patterns, increasing the relevance of inertial terms in the hydrodynamic simulation of the surface runoff (Cea & Bladé, ).…”