Tsunami run-up estimation based on a hybrid numerical flume and a parameterization of real topobathymetric profiles
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Published:2018-05-29
Issue:5
Volume:18
Page:1469-1491
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ISSN:1684-9981
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Container-title:Natural Hazards and Earth System Sciences
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language:en
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Short-container-title:Nat. Hazards Earth Syst. Sci.
Author:
Aniel-Quiroga ÍñigoORCID, Quetzalcóatl OmarORCID, González MauricioORCID, Guillou Louise
Abstract
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.
Funder
European Commission
Publisher
Copernicus GmbH
Subject
General Earth and Planetary Sciences
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