Tsunami run-up estimation based on a hybrid numerical flume and a parameterization of real topobathymetric profiles
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Identificadores
URI: http://hdl.handle.net/10902/15894DOI: 10.5194/nhess
ISSN: 1561-8633
ISSN: 1684-9981
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Aniel-Quiroga Zorrilla, Íñigo; Gutiérrez Gutiérrez, Omar Quetzalcóatl; González Rodríguez, Ernesto Mauricio
Date
2018-05Derechos
Atribución 3.0 España
Publicado en
Natural hazards and earth system sciences Volume 18, issue 5 1469-1491
Publisher
European Geosciences Union (EGU) ; Copernicus Publications (editor comercial)
Abstract:
Tsunami run-up is a key value to determine when calculating and assessing the tsunami hazard in a tsunami-prone area. Run-up can be accurately calculated by means of numerical models, but these models require high-resolution topobathymetric data, which are not always available, and long computational times. These drawbacks restrict the application of these models to the assessment of small areas. As an alternative method, to address large areas empirical formulae are commonly applied to estimate run-up. These formulae are based on numerical or physical experiments on idealized geometries. In this paper, a new methodology is presented to calculate tsunami hazard at large scales. This methodology determines the tsunami flooding by using a coupled model that combines a nonlinear shallow water model (2D-H) and a volume-of-fluid model (RANS 2D-V) and applies the optimal numerical models in each phase of the tsunami generation?propagation?inundation process. The hybrid model has been widely applied to build a tsunami run-up database (TRD). The aim of this database is to form an interpolation domain with which to estimate the tsunami run-up of new scenarios without running a numerical simulation. The TRD was generated by simulating the propagation of parameterized tsunami waves on real non-scaled profiles. A database and hybrid numerical model were validated using real and synthetic scenarios. The new methodology provides feasible estimations of the tsunami run-up; engineers and scientists can use this methodology to address tsunami hazard at large scales.
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