Author(s): Luis Cea; Carlos A. Figueroa; Juan F. Farfan-Duran; Jeronimo Puertas; Javier Sopelana; Paula Camus; Jared Ortiz-Angulo; Fernando Mendez
Linked Author(s): Jerónimo Puertas Agudo, Luis Cea Gómez, Juan Fernando Farfán Durán
Keywords: No Keywords
Abstract: Catastrophic floods often manifest a compound dimension, with the interaction of various climatic factors like astronomical tides, storm surges, waves, rainfall and river flow. While these elements may act independently, they are frequently interconnected sharing the same meteorological origin. Several efforts have been performed at regional, continental, or global scale to quantify the flooding potential using statistical approaches that quantify the dependence among drivers (Bevacqua et al., 2019; Ward et al., 2015; Couasnon et al., 2020; Camus et al., 2021). These approaches serve as an initial screening tool, providing insights that inform more detailed risk assessments. However, at the local level, a more intricate framework comes into play, involving the integration of diverse hydrologic, ocean and hydraulic numerical models. This integration follows a one-way nesting approach, where each model operates independently, utilizing specific data inputs that then feed into subsequent models. Despite the effectiveness of this linking model approach, its application has been largely limited to specific/historical events due to the substantial computational demands involved. Furthermore, the computational efforts required for probabilistic risk assessments, which rely on multi-year simulations, are notably time-consuming, adding an additional layer of complexity to the overall modeling process.
Year: 2024