How to Cite

A NUMERICAL MODEL FOR THE EFFICIENT SIMULATION OF MULTIPLE LANDSLIDE-TSUNAMI SCENARIOS. (2020). Coastal Engineering Proceedings, 36v, currents.20. https://doi.org/10.9753/icce.v36v.currents.20


Submarine landslides can pose serious tsunami hazard to coastal communities, occurring frequently near the coast itself. The properties of the tsunami and the consequent inundation depend on many factors, such as the geometry, the rheology and the kinematic of the landslide and the local bathymetry. However, when evaluating the risk related to landslide tsunamis, it is very difficult to accurately predict all of the above mentioned parameters. It is therefore useful to carry out many simulations of tsunami generation and propagation, with reference to different landslide scenarios, in order to deal with such uncertainties (see for example the probabilistic approach by Grilli et al. 2009). Accurate computations of landslide tsunami generation, propagation, and inundation, however, is computationally expensive, thus limiting the possible maximum number of scenarios. To partially overcome this difficulty, in the present research, a numerical model is proposed that can efficiently compute a large number of tsunami simulations triggered by different landslides. The main goal is to provide a numerical tool that can be used in a Monte Carlo approach framework. Following the study by Ward (2001), we propose a methodology taking advantage of the linear superposition of elementary tsunami solutions.

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Bellotti, G., Cecioni, C., & de Girolamo, P. (2008). Simulation of small-amplitude frequency-dispersive transient waves by means of the mild-slope equation. Coastal Engineering, 55, 447.

Bellotti G., M. Di Risio, and P. De Girolamo (2009). Feasibility of Tsunami Early Warning Systems for small volcanic islands. Natural Hazards and Earth System Sciences, vol. 9, pp. 1911-1919.

Cecioni, C., & Bellotti, G. (2010a). Modeling tsunamis generated by submerged landslides using depth integrated equations. Applied Ocean Research, 32, 343- 350.

Cecioni, C., & Bellotti, G. (2010b). Inclusion of landslide tsunamis generation into a depth integrated wave model. Natural Hazards and Earth System Sciences, 10, 2259-2268.

Chen, G.-Y., Liu, C.-C., Wijetunge, J. J., & Wang, Y.-F. (2020). Reciprocal green's functions and the quick forecast of submarine landslide tsunamis. Natural Hazards & Earth System Sciences, 20 (3).

Davies, G., Grin, J., Lovholt, F., Glimsdal, S., Harbitz, C., Thio, H. K., and others (2018). A global probabilistic tsunami hazard assessment from earthquaks sources. Geological Society, London, Special Publications, 456 (1), 219-244.

Di Risio, M., De Girolamo, P., Bellotti, G., Panizzo, A., Aristodemo, F., Molfetta, M. G., & Petrillo, A. (2009). Landslide-generated tsunamis runup at the coast of a conical island: New physical model experiments. Journal of Geophysical Research, 114, 1-16.

Enet, F., Grilli, S., & Asce, M. (2007). Experimental study of tsunami generation by three-dimensional rigid underwater landslides. Journal of Waterway Port Coastal and Ocean Engineering-ASCE, 133, 442-454.

Fuhrman, D., & Madsen, P. (2009). Tsunami generation, propagation, and run-up with a high-order boussinesq model. Coastal Engineering, 56, 747-758.

Grezio, A., Babeyko, A., Baptista, M., Behrens, J., Costa, A., Davies, G., Thio, H. (2017). Probabilistic tsunami hazard analysis: Multiple sources and global applications. Reviews of Geophysics, 55 , 1158-1198.

Grezio, A., Sandri, L., Marzocchi, W., Argnani, A., Gasparini, P., & Selva, J. (2012). Probabilistic tsunami hazard assessment for messina strait area (Sicily, Italy). Natural Hazards, 64 (1), 329-358.

Grilli, S., Taylor, O.-D., Baxter, C., & Maretzki, S. (2009). A probabilistic approach for determining submarine landslide tsunami hazard along the upper east coast of the united states. Marine Geology, 74-97.

Kervella, Y., Dutykh, D., & Dias, F. (2007). Comparison between three-dimensional linear and nonlinear tsunami generation models. Theoretical and Computational Fluid Dynamics, 21, 245-269.

Kim, G.-B., Cheng, W., Sunny, R. C., Horrillo, J. J., McFall, B. C., Mohammed, F., Kowalik, Z. (2019). Three dimensional landslide generated tsunamis: Numerical and physical model comparisons. Landslides, 1-17.

Liu, P.-F., Wu, T.-R., Raichlen, F., Synolakis, C., & Borrero, J. (2005). Runup and rundown generated by three-dimensional sliding masses. Journal of Fluid Mechanics, 536 (1), 107-144.

Lovholt, F., Glimsdal, S., Harbitz, C. B., Horspool, N., Smebye, H., De Bono, A., & Nadim, F. (2014). Global tsunami hazard and exposure due to large co-seismic slip. International journal of disaster risk reduction, 10, 406-418.

Lynett, P., & Liu, P. (2002). A numerical study of submarine-landslide-generated waves and run-up. Vol. 458, pp. 2885-2910.

Lynett, P., & Liu, P. (2005). A numerical study of run-up generated by three- dimensional landslides. Journal of Geophysical Research, 110 , C03006.

Lynett, P. J., & Martinez, A. J. (2012). A probabilistic approach for the waves generated by a submarine landslide. Coastal Engineering Proceedings (33), 15-15.

Madsen, P., Murray, R., & Sorensen, O. (1991). A new form of the boussinesq equations with improved linear dispersion characteristics. Coastal Engineering, 15, 371-388.

Maretzki, S., Grilli, S., & Baxter, C. (2007). Probabilistic smf tsunami hazard assessment for the upper east coast of the united states.

Miranda, J., Baptista, M., & Omira, R. (2014). On the use of green's summation for tsunami waveform estimation: a case study. Geophysical Journal International, 199 (1), 459-464.

Montagna, F., Bellotti, G., & Di Risio, M. (2011). 3d numerical modeling of landslide-generated tsunamis around a conical island. Natural hazards, 58 (1), 591-608.

Nwogu, O. (1993). Alternative form of boussinesq equations for nearshore wave propagation. Journal of Waterway, Port, Coastal, and Ocean Engineering, 119, 618-638.

Peregrine, D. (1967). Long waves on beach. Journal of Fluid Mechanics, 27, 815-827.

Romano A., M. Di Risio, G. Bellotti, M. G. Molfetta, L. Damiani, P. De Girolamo (2016). Tsunamis generated by landslides at the coast of conical islands: experimental benchmark dataset for mathematical model validation. Landslides, pp. 1-15.

Romano, A., Lara, J. L., Barajas, G., Di Paolo, B., Bellotti, G., Di Risio, M., De Girolamo, P. (2020). Tsunamis generated by submerged landslides: Numerical analysis of the near-field wave characteristics. Journal of Geophysical Research: Oceans, 125 (7). doi: 10.1029/2020JC016157

Ward, S. (2001). Landslide tsunami. Journal of Geophysical Research, 106. https://doi.org/10.1029/2000JB900450

Watts, P. (2004). Probabilistic predictions of landslide tsunamis of southern california. Marine Geology, 203, 281-301.

Wei, G., Kirby, J., Grilli, S., & Subramanya, R. (1995). A fully nonlinear boussinesq model for surface waves. Journal of Fluid Mechanics, 294 , 71 - 92.

Xu, Z., et al. (2007). The all-source green's function and its applications to tsunami problems. Science of Tsunami Hazards, 26 (1), 59.

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