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Conference Paper

Understanding tsunami resonance at bay scales through stochastic simulations

Authors

Catalan,  Patricio
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Diaz,  Mauricio
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Zamora,  Natalia
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Cienfuegos,  Rodrigo
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Carvajal,  Matias
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

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Citation

Catalan, P., Diaz, M., Zamora, N., Cienfuegos, R., Carvajal, M. (2023): Understanding tsunami resonance at bay scales through stochastic simulations, XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) (Berlin 2023).
https://doi.org/10.57757/IUGG23-4074


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5021514
Abstract
The role of resonance has been long recognized as a relevant aspect in controlling the duration and other inundation metrics of tsunami response. However, whether their site-specific behavior is controlled by the source or the morphology is challenging to be determined owing to several reasons. First, in situ data to carry out the characterization can be only obtained during tsunami events, and it is usually spatially sparse, thereby limiting generalization. Moreover, distinguishing between source and bathymetric control is possible in these cases even though both signals are intermingled, but whether the resulting amplification will be similar for other events is debatable. Alternatively, analytical or numerical methods can identify multiple modes dominated by the bathymetry. However, distinguishing which ones would dominate the actual response remains a challenge because earthquake source characteristics are usually absent.In this work, we take advantage of using a large number of stochastic earthquake simulations to drive a NLSWE numerical model to identify response trends on a set of different bays in Central Chile. We couple these results with a free oscillation model and historical data to validate some cases. Results show that bays can be classified as being bathymetry-controlled, source-controlled, or a mixture of both, depending on how consistent their response is when magnitudes and rupture distributions are varied. Such characterization could help in understanding site-specific hazards, as a first step to mitigation.