This project is focused on the development of cutting-edge efficient simulation and optimization tools for solving complex hydro-morphodynamic surface processes that directly affect the management of natural resources, the evaluation and mitigation of risks and the environment conservation in a context of rapid climate changes. Geophysical surface processes modelling has grown in the last 10 years and this tendency is accelerating and expanding, taking advantage of the new computational technologies and addressing new challenges, especially those related to climate change and sustainable use of natural resources. Under this approach, this proposal, despite being intended as a non-oriented research project, will provide novel solutions to relevant environmental problems by developing novel modelling strategies that allow the accurate characterization of different surface flow processes in realistic temporal and spatial scales. The proposal combines complex mathematical and numerical modelling, high performance computing (HPC) technologies and advanced optimization based on artificial intelligence (AI).
The present project will contribute to the following Sustainable Development Goals (SDG): 6.6 – 11.5 – 13.1 – 15.1 – 15.3.
Participantes:
Pilar Garcia Navarro – Investigadora Principal
Pilar Brufau
Mario Morales
Sergio Martinez
Ignacio Garcia Palacín
Jose Luis Gracia Lozano (Matemática Aplicada, Universidad de Zaragoza)
Ministerio de Ciencia e Innovación. Convocatoria 2022 – «Proyectos de Generación de Conocimiento».