Claudia Cecioni
Roma Tre University
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Publication
Featured researches published by Claudia Cecioni.
Journal of Geophysical Research | 2015
Ali Abdolali; Claudia Cecioni; Giorgio Bellotti; James T. Kirby
Detection of low-frequency hydro-acoustic waves as precursor components of destructive tsunamis can enhance the promptness and the accuracy of Tsunami Early Warning Systems (TEWS). We reconstruct the hydro-acoustic wave field generated by the 2012 Haida Gwaii tsunamigenic earthquake using a 2-D horizontal numerical model based on the integration over the depth of the compressible fluid wave equation and considering a mild sloped rigid seabed. Spectral analysis of the wave field obtained at different water depths and distances from the source revealed the frequency range of low-frequency elastic oscillations of sea water. The resulting 2-D numerical model gave us the opportunity to study the hydro-acoustic wave propagation in a large-scale domain with available computers and to support the idea of deep-sea observatory and data interpretation. The model provides satisfactory results, compared with in situ measurements, in the reproduction of the long-gravitational waves. Differences between numerical results and field data are probably due to the lack of exact knowledge of sea bottom motion and to the rigid seabed approximation, indicating the need for further study of poro-elastic bottom effects.
Pure and Applied Geophysics | 2018
Claudia Cecioni; Giorgio Bellotti
Tsunamigenic earthquakes trigger pressure waves in the ocean, given the weak compressibility of the sea water. For particular conditions, a resonant behavior of the water layer can occur, which influences the energy transfer from the sea-bed motion to the ocean. In this paper, the resonance conditions are explained and analyzed, focusing on the hydro-acoustic waves in the proximity of the earthquake area. A preliminary estimation of the generation parameters (sea-bed rising time, velocity) is given, by means of parametric numerical simulations for simplified conditions. The results confirm the importance of measuring, modeling, and interpreting such waves for tsunami early detection and warning.
Archive | 2011
Claudia Cecioni; Giorgio Bellotti
Tsunami are long water waves generated by sudden disturbances of the sea floor or sea water surface, which is usually caused by earthquakes, landslides or volcanic eruptions. Once triggered the tsunami can propagate over long distances, carrying destruction even on far coasts, hours after the impulsive generating event. The tragic consequences of the tsunami occurred the 26th December 2004 in the Indian Ocean, involved the scientific community to develop models able to reproduce the tsunami generation and their evolution, with the aim of building Tsunami Early Warning Systems. A single model is not able to treat adequately the generation, propagation and inundation phase of tsunami scenarios, because it can not be at the same time accurate and computational efficient. The tsunami generation most of the times requires the solution of the full three dimensional equations of the hydrodynamics (Grilli et al., 2002; Liu et al., 2005), in order to accurately reproduce the complex sea floor motion and therefore the consequent wave field. A mathematical problem which solves the three dimensional equations is especially needed when tsunami are generated by landslides or small submarine earthquakes. An other important feature which has to be taken into account when modelling the tsunami generation, are the nonlinear terms, which allow the reproduction of waves with a wave height of the same order of the water depth. The nonlinear equations have to be solved when the generating seismic event occurs close to the coast in shallow water, which represents the most dangerous threat for people and structures. When the tsunami propagates far from the generating source it can reach high celerity, of the order of thousands of m/s. Tsunamis in deep water are long waves (wave length of the order of hundreds kilometres) with wave height of the order of one meter; therefore, if compared to the water depth (thousands of metres), can be considered small amplitude water waves. The tsunami propagation phase can therefore be accurately modelled using linear equations. When the wave propagation is to be studied over large geographical areas it appears natural to apply simplified equations in order to reduce the computational costs. These are the depth-integrated equations which reduce the full three-dimensional problem to a two-dimensional one, making the resulting model applicable over oceanic length scales. The most widely equations used are the long wave equations, named also Nonlinear Shallow Water Equations (NSWE). One weak point of the NSWE is that they are not able to reproduce properly the celerity at which each component of the wave field propagates.
PROC. 31ST INTERNATIONAL CONFERENCE ON COASTAL ENGINEERING, | 2009
Claudia Cecioni; Giorgio Bellotti; P. De Girolamo; Leopoldo Franco
Numerical models able to reproduce transient water waves are tools of the utmost importance in all those engineering activities aimed at mitigating the effects of the tsunamis. Traditionally these models have been based on the Nonlinear Shallow Waters Equations (NSWE), in view of the fact that tsunamis were considered as extremely long, single waves able of devastating the coast. However in the recent past it has become well accepted that this kind of waves is a wave packet, that in most cases may exhibit a frequency-dispersive behaviour (Kulikov et al., 2005). The models based on the Boussinesq-type equations have therefore become the standard tool to study tsunamis.
Applied Ocean Research | 2010
Claudia Cecioni; Giorgio Bellotti
Journal of Fluid Mechanics | 2013
P. Sammarco; Claudia Cecioni; Giorgio Bellotti; Ali Abdolali
Coastal Engineering | 2008
Giorgio Bellotti; Claudia Cecioni; Paolo De Girolamo
Natural Hazards and Earth System Sciences | 2014
Claudia Cecioni; Ali Abdolali; Giorgio Bellotti; P. Sammarco
Procedia Engineering | 2014
Claudia Cecioni; Giorgio Bellotti; A. Romano; A. Abdolali; P. Sammarco; Leopoldo Franco
Natural Hazards and Earth System Sciences | 2010
Claudia Cecioni; Giorgio Bellotti