Publicacións

@article{sanudo_iberswmm_2025,

title = {IberSWMM+: A high-performance computing solver for 2D-1D pluvial flood modelling in urban environments},

author = {Esteban Sañudo-Costoya and Orlando García-Feal and L. Hagen and Luis Cea-Gómez and Jerónimo Puertas-Agudo and Carlos I. Montalvo-Montenegro and Reginald Alvarado-Vicencio and Julian Hofmann},

url = {https://www.sciencedirect.com/science/article/pii/S0022169424019991},

doi = {10.1016/j.jhydrol.2024.132603},

issn = {0022-1694},

year  = {2025},

date = {2025-04-01},

urldate = {2025-04-01},

journal = {Journal of Hydrology},

volume = {651},

pages = {132603},

abstract = {Urban drainage modelling is essential for effective city planning and flood management. The increasing complexity of urban environments and the growing availability of high-resolution data have led to the need to develop more sophisticated and freely accessible urban drainage models. This paper presents the parallel implementation of Iber-SWMM, a freely distributed integrated 2D/1D urban drainage model for modelling surface and sewer flows and their interactions. Iber-SWMM constitutes an advance in the field by incorporating a fully distributed hydrological approach, advanced roof modelling tools, and GIS interoperability, offering a comprehensive solution for urban hydrodynamics. Originally designed for research in small urban drainage models due to CPU limitations, Iber-SWMM has now been enhanced with High Performance Computing (HPC) techniques. This allows for the simulation of high-resolution urban models with fine meshes comprising millions of elements, essential for accurate representation of complex urban geometries. We validated the model through laboratory-scale tests and two city-scale scenarios, providing detailed input data and demonstrating the applicability of the model in real-world situations. Our results show that the GPU-accelerated version achieves simulation speeds up to 200 times faster than the sequential version for large models. For instance, in a city-scale scenario with approximately 6 million cells, 3000 nodes, and 3000 links, simulation time was reduced from 72 h to just 20 min. To ensure result consistency and assess convergence, we conducted simulations using low, medium, and high-resolution computational meshes for each case study. Our findings indicate that both parallel and sequential versions produce consistent results, with convergence typically achieved at medium to high resolutions. Notably, we observed that for very large models, the computation of the drainage network in SWMM can become a bottleneck, suggesting an area for future optimization. By enabling the simulation of high-resolution urban models with millions of elements up to 200 times faster than sequential versions, this study bridges the gap between academic research and practical urban planning, empowering stakeholders to conduct more detailed, city-wide simulations, and ultimately contributing to faster urban flood risk management.},

keywords = {Dual drainage modelling, High performance computing, Iber - SWMM, Urban drainage, Urban flooding, Urban hydrology},

pubstate = {published},

tppubtype = {article}

}

@article{cea_implementation_2024,

title = {Implementation of a GPU-enhanced multiclass soil erosion model based on the 2D shallow water equations in the software Iber},

author = {Luis Cea-Gómez and Orlando García-Feal and Guillaume Nord and Guillaume Piton and Cédric Legoût},

url = {https://www.sciencedirect.com/science/article/pii/S1364815224001592},

doi = {10.1016/j.envsoft.2024.106098},

issn = {1364-8152},

year  = {2024},

date = {2024-08-01},

urldate = {2026-04-21},

journal = {Environmental Modelling & Software},

volume = {179},

pages = {106098},

abstract = {We present the implementation of a new fully distributed multiclass soil erosion module. The model is based on a 2D finite volume solver (Iber+) for the 2D shallow water equations that computes the overland flow water depths and velocities. From these, the model evaluates the transport of sediment particles due to bed load and suspended load, including rainfall-driven and runoff-driven erosion processes, and using well-established physically-based formulations. The evolution of the mass of sediment particles in the soil layer is computed from a mass conservation equation for each sediment class. The solver is implemented using High Performance Computing techniques that take advantage of the computational capabilities of standard Graphical Processing Units, achieving speed-ups of two orders of magnitude relative to a sequential implementation on the CPU. We show the application and validation of the model at different spatial scales, ranging from laboratory experiments to meso-scale catchments.},

keywords = {Distributed numerical modelling, High performance computing, Sediment transport, shallow water equations, Soil erosion},

pubstate = {published},

tppubtype = {article}

}