Subaerial landslides falling
into reservoirs or open seas generate impulsive water waves, that
are usually referred to as a class of tsunamis waves. It is important
to study landslide generated waves occurring both in closed water
basins, where the waves interact with the shorelines and eventually
the dam, and in open seas, where the generated waves can travel
and deliver devastating damages hundreds of kilometers away. In
order to gain insight on subaerial landslide generated waves,
the Italian National Dam Offce recently funded an experimental
and numerical research program geared to better understand and
forecast tsunamis waves.
This paper introduces the experimental work which has been carried
out in order to define empirical formulations able to forecast
the principal features of the generated waves in a three dimensional
water body, as a function of the landslide movement. Wave types
observed during the experiments are here characterized using a
wavelet analysis approach, new forecasting formulations are defined
on the basis of the experimental study and tested using an Artificial
Neural Network model. Results are finally compared to those presented
in past experimental studies. |