Author(s): Mario Morales-Hernandez; Sergio Martinez-Aranda; Pablo Valles; Jose Segovia-Burillo; Pilar Brufau; Pilar Garcia-Navarro

Linked Author(s): Mario Morales-Hernández, Pilar García-Navarro, Sergio Martínez-aranda

Keywords: Lagrangian transport; High performance computing; Hydrodynamic modeling; Sediment transport; SERGHEI

Abstract: In the realm of environmental science, accurate simulation of hydrodynamic phenomena is essential. The SERGHEI framework stands out for its innovative modules that improve modeling of hydrological, environmental, and geomorphological processes. Our study introduces three new modules - Lagrangian Particle Tracking (LPT), Advection-Diffusion-Equation (ADE), and Sediment Transport (ST) - to enhance SERGHEI's capabilities. SERGHEI, an open-source toolkit for high-performance computing, is designed for performance portability and leverages CPU and GPU parallel processing, with the code available at https: //gitlab. com/serghei-model/serghei. The LPT module enhances modeling precision by tracking particles in fluid flows, useful for analyzing debris movement during floods. The ADE module expands SERGHEI's capabilities to simulate pollutant diffusion and nutrient distribution, crucial for assessing environmental impacts. Lastly, the ST module enables the simulation of sediment movement, to simulate erosion control and habitat preservation. Despite these advancements, integrating these modules poses computational challenges, which our research addresses through optimization techniques to maintain high efficiency.

DOI: https://doi.org/10.3850/iahr-hic2483430201-331

Year: 2024