1 research outputs found
The Al-BoranĂ submarine landslide and associated tsunami. A modeling approach
The key goals to studying submarine landslides and associated tsunamis are to better assess the magnitude
information of palaeo-tsunamis and to contribute to assessing future tsunami risks. The numerical modelling
of submarine landslides and the tsunamis thus generated comprises important interdisciplinary research that
requires knowledge of both geology and numerical modelling. Models are capable of delineating the time
evolution of tsunami hydrodynamics, sediment transport, and the resulting morphological changes associated
with deposition. To advance towards the ultimate goal of improved tsunami risk assessment, modellers and
geologists need to develop an in-depth mutual understanding of the advantages, limitations, and uncertainties
in both numerical modelling and geological records. In this work, seafloor features related to former submarine
landslides in the Alboran Sea basin have been identified through multibeam bathymetry data and high- to very
high-resolution seismic profiles. Themathematicalmodelling and hindcasting have been performed through numerical
simulation of a hypothetical submarine landslide and the associated tsunami that could have originated
one of the submarine landslides identified. This system, on the southern Alboran Ridge slope, is currently
reworked by turbidite processes, forming a submarine canyon-sedimentary fan system known as the Al-Borani
System. The HySEA numerical model simulates the submarine landslide triggering the tsunami and the water
mass evolution, wave propagation, and the final penetration of the tsunami waves onto the coast, reproducing
initial and subsequent tsunami wave impacts by means of a single coupled numerical model. This numerical
model allows an analysis of the influence of basin morphology on the tsunami propagation features, such as
shape and propagation patterns, speed or wave amplitude and, finally, its impact on the coast (in this case
South Iberia and North Africa). This model can also be used as a prediction tool for the simulation of potential
landslides, many of which generate tsunamis. Monitoring of critical areas, where landslides are more probable,
and modelling their consequences will allow a choice of the appropriate mitigation strategies. Therefore,
monitoring and modelling are areas of key scientific and socio-economic interests.VersiĂłn del edito