Articles | Volume 11, issue 4
https://doi.org/10.5194/os-11-643-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/os-11-643-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Simulation of tsunami generation, propagation and coastal inundation in the Eastern Mediterranean
CIRI – EC, Fluid Dynamics Unit, University of Bologna, Via del Lazzaretto 15/5, Bologna 40131, Italy
Th. V. Karambas
Department of Civil Engineering, Aristotle University of Thessaloniki, University Campus, Thessaloniki 54124, Greece
R. Archetti
Department of Civil, Chemical, Environmental and Materials Engineering, University of Bologna, Viale Risorgimento 2, Bologna 40136, Italy
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This article is included in the Encyclopedia of Geosciences
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Cited articles
Antuono, M. and Brocchini, M.: Beyond Boussinesq-type equations: Semi-integrated models for coastal dynamics, Phys. Fluids, 25, 016603, https://doi.org/10.1063/1.4774343, 2013.
Antuono, M., Liapidevskii, V., and Brocchini, M.: Dispersive Nonlinear Shallow-Water Equations, Stud. Appl. Maths., 122, 1–28, https://doi.org/10.1111/j.1467-9590.2008.00422.x, 2009.
Apotsos, A., Gelfenbaum, G., and Jaffe, B.: Process-based modeling of tsunami inundation and sediment transport, J. Geophys. Res.-Earth, 116, F01006, https://doi.org/10.1029/2010jf001797, 2011.
Ataie-Ashtiani, B. and Najafi Jilani, A.: A higher-order Boussinesq-type model with moving bottom boundary: applications to submarine landslide tsunami waves, Int. J. Numer. Meth. Fl., 53, 1019–1048, https://doi.org/10.1002/fld.1354, 2007.
Bernard, E. N.: The US National Tsunami Hazard Mitigation Program: a successful state–federal partnership, Nat. Hazards, 35, 5–24, https://doi.org/10.1007/s11069-004-2401-5, 2005.
Borrero, J. C., Sieh, K., Chlieh, M., and Synolakis, C. E.: Tsunami inundation modeling for western Sumatra, P. Natl. Acad. Sci. USA, 103, 19673–19677, https://doi.org/10.1098/rspa.2013.0496, 2006.
Briggs, M., Synolakis, C., Harkins, G., and Green, D.: Laboratory experiments of tsunami runup on a circular island, Pure Appl. Geophys., 144, 569–593, https://doi.org/10.1007/bf00874384, 1995.
Brocchini, M.: A reasoned overview on Boussinesq-type models: the interplay between physics, mathematics and numerics, P. Roy. Soc. A-Math. Phy., 469, 20130496, https://doi.org/10.1098/rspa.2013.0496, 2013.
Chen, Q., Kirby, J., Dalrymple, R., Kennedy, A., and Chawla, A.: Boussinesq modeling of wave transformation, breaking, and runup. II: 2-D, J. Waterw. Port C. Div., 126, 48–56, https://doi.org/10.1061/(asce)0733-950x(2000)126:1(48), 2000.
Dawson, A. G., Lockett, P., and Shi, S.: Tsunami hazards in Europe, Environ. Int., 30, 577–585, https://doi.org/10.1016/j.envint.2003.10.005, 2004.
Demetracopoulos, A. C., Hadjitheodorou, C., and Antonopoulos, J. A.: Statistical and numerical analysis of tsunami wave heights in confined waters, Ocean Eng., 21, 629–643, https://doi.org/10.1016/0029-8018(94)90042-6, 1994.
El-Sayed, A., Korrat, I., and Hussein, H. M.: Seismicity and seismic hazard in Alexandria (Egypt) and its surroundings, Pure Appl. Geophys., 161, 1003–1019, https://doi.org/10.1007/s00024-003-2488-8, 2004.
EMODnet Portal for Bathymetry: available at: http://portal.emodnet-bathymetry.eu/, last access: 11 February 2015.
Fuhrman, D. R. and Madsen, P. A.: Tsunami generation, propagation, and run-up with a high-order Boussinesq model, Coast. Eng., 56, 747–758, https://doi.org/10.1016/j.coastaleng.2009.02.004, 2009.
Gayer, G., Leschka, S., Nöhren, I., Larsen, O., and Günther, H.: Tsunami inundation modelling based on detailed roughness maps of densely populated areas, Nat. Hazards Earth Syst. Sci., 10, 1679–1687, https://doi.org/10.5194/nhess-10-1679-2010, 2010.
Gobbi, M. F. and Kirby, J. T.: Wave evolution over submerged sills: tests of a high-order Boussinesq model, Coast. Eng., 37, 57–96, https://doi.org/10.1016/S0378-3839(99)00015-0, 1999.
Gobbi, M. F., Iacute, Cio, F., Kirby, J. T., and Wei, G.: A fully nonlinear Boussinesq model for surface waves. Part 2. Extension to O(kh)4, J. Fluid Mech., 405, 181–210, https://doi.org/10.1017/S0022112099007247, 2000
González, F. I., Geist, E. L., Jaffe, B., Kânoglu, U., Mofjeld, H., Synolakis, C. E., Titov, V. V., Areas, D., Bellomo, D., Carlton, D., Horning, T., Johnson, J., Newman, J., Parsons, T., Peters, R., Peterson, C., Priest, G., Venturato, A., Weber, J., Wong, F., and Yalciner, A.: Probabilistic tsunami hazard assessment at Seaside, Oregon, for near- and far-field seismic sources, J. Geophys. Res.-Oceans, 114, C11023, https://doi.org/10.1029/2008jc005132, 2009.
González-Riancho, P., Aguirre-Ayerbe, I., García-Aguilar, O., Medina, R., González, M., Aniel-Quiroga, I., Gutiérrez, O. Q., Álvarez-Gómez, J. A., Larreynaga, J., and Gavidia, F.: Integrated tsunami vulnerability and risk assessment: application to the coastal area of El Salvador, Nat. Hazards Earth Syst. Sci., 14, 1223–1244, https://doi.org/10.5194/nhess-14-1223-2014, 2014.
Google Earth: Image \textsuperscript©2015 Landsat, Data SIO, NOAA, US Navy, NGA, GEBCO, 2015.
Grosso, G., Antuono, M., and Brocchini, M.: Dispersive nonlinear shallow-water equations: some preliminary numerical results, J. Eng. Math., 67, 71–84, https://doi.org/10.1007/s10665-009-9328-5, 2010.
Hammack, J. L.: A note on tsunamis: their generation and propagation in an ocean of uniform depth, J. Fluid Mech., 60, 769–799, https://doi.org/10.1017/S0022112073000479, 1973.
Karakaisis, G. F.: Contribution to the Study of the Seismic Sequences in the Aegean and Surrounding Areas, PhD thesis, Aristotle University of Thessaloniki, Thessaloniki, Greece, 1984.
Karambas, T. V. and Karathanassi, E. K.: Longshore sediment transport by nonlinear waves and currents, J. Waterw. Port C. Div., 130, 277–286, https://doi.org/10.1061/(ASCE)0733-950X(2004)130:6(277), 2004.
Karambas, T. V. and Koutitas, C.: Surf and swash zone morphology evolution induced by nonlinear waves, J. Waterw. Port C. Div., 128, 102–113, https://doi.org/10.1061/(ASCE)0733-950X(2002)128:3(102), 2002.
Karambas, T. V. and Samaras, A. G.: Soft shore protection methods: the use of advanced numerical models in the evaluation of beach nourishment, Ocean Eng., 92, 129–136, https://doi.org/10.1016/j.oceaneng.2014.09.043, 2014.
Kumar, T. S., Mahendra, R. S., Nayak, S., Radhakrishnan, K., and Sahu, K. C.: Coastal vulnerability assessment for Orissa State, east coast of India, J. Coastal Res., 26, 523–534, https://doi.org/10.2112/09-1186.1, 2010.
Liu, P. L., Woo, S.-B., and Cho, Y.-S.: Computer Programs for Tsunami Propagation and Inundation, Cornell University Press, Ithaca, NY, USA, 1998.
Lorito, S., Tiberti, M. M., Basili, R., Piatanesi, A., and Valensise, G.: Earthquake-generated tsunamis in the Mediterranean Sea: scenarios of potential threats to Southern Italy, J. Geophys. Res.-Sol. Ea., 113, B01301, https://doi.org/10.1029/2007jb004943, 2008.
Løvholt, F., Kaiser, G., Glimsdal, S., Scheele, L., Harbitz, C. B., and Pedersen, G.: Modeling propagation and inundation of the 11 March 2011 Tohoku tsunami, Nat. Hazards Earth Syst. Sci., 12, 1017–1028, https://doi.org/10.5194/nhess-12-1017-2012, 2012.
Mitsotakis, D. E.: Boussinesq systems in two space dimensions over a variable bottom for the generation and propagation of tsunami waves, Math. Comput. Simulat., 80, 860–873, https://doi.org/10.1016/j.matcom.2009.08.029, 2009.
National Oceanic and Atmospheric Administration/National Geophysical Data Center: available at: http://www.ngdc.noaa.gov/mgg/shorelines/, last access: 11 February 2015.
Omira, R., Baptista, M. A., Miranda, J. M., Toto, E., Catita, C., and Catalão, J.: Tsunami vulnerability assessment of Casablanca-Morocco using numerical modelling and GIS tools, Nat. Hazards, 54, 75–95, https://doi.org/10.1007/s11069-009-9454-4, 2010.
Papadopoulos, G. A.: Tsunami hazard in the Eastern Mediterranean: strong earthquakes and tsunamis in the Corinth Gulf, Central Greece, Nat. Hazards, 29, 437–464, https://doi.org/10.1023/a:1024703531623, 2003.
Papadopoulos, G. A.: Tsunamis, in: The Physical Geography of the Mediterranean, edited by: Woodward, J., Oxford University Press, Oxford, 493–512, 2009.
Papadopoulos, G. A. and Chalkis, B. J.: Tsunamis observed in Greece and the surrounding area from antiquity up to the present times, Mar. Geol., 56, 309–317, https://doi.org/10.1016/0025-3227(84)90022-7, 1984.
Papadopoulos, G. A. and Fokaefs, A.: Strong tsunamis in the mediterranean sea: a re-evaluation, ISET Journal of Earthquake Technology, 42, 159–170, 2005.
Papadopoulos, G. A., Gràcia, E., Urgeles, R., Sallares, V., De Martini, P. M., Pantosti, D., González, M., Yalciner, A. C., Mascle, J., Sakellariou, D., Salamon, A., Tinti, S., Karastathis, V., Fokaefs, A., Camerlenghi, A., Novikova, T., and Papageorgiou, A.: Historical and pre-historical tsunamis in the Mediterranean and its connected seas: geological signatures, generation mechanisms and coastal impacts, Mar. Geol., 354, 81–109, https://doi.org/10.1016/j.margeo.2014.04.014, 2014.
Papazachos, B. C. and Papazachou, C.: The Earthquakes of Greece, Ziti Publications, Thessaloniki, Greece, 1998.
Papazachos, B. C., Koutitas, C., Hatzidimitriou, P. M., Karakostas, B. G., and Papaioannou, C. A.: Tsunami hazard in Greece and the surrounding area, Ann. Geophys., 4, 79–90, 1986.
Periáñez, R. and Abril, J. M.: Modelling tsunamis in the Eastern Mediterranean Sea. Application to the Minoan Santorini tsunami sequence as a potential scenario for the biblical Exodus, J. Marine Syst., 139, 91–102, https://doi.org/10.1016/j.jmarsys.2014.05.016, 2014.
Post, J., Wegscheider, S., Mück, M., Zosseder, K., Kiefl, R., Steinmetz, T., and Strunz, G.: Assessment of human immediate response capability related to tsunami threats in Indonesia at a sub-national scale, Nat. Hazards Earth Syst. Sci., 9, 1075–1086, https://doi.org/10.5194/nhess-9-1075-2009, 2009.
Press, H. W., Teukolsky, S. A., Vetterling, W. T., and Flannery, B. P.: Numerical Recipes in Fortran 77, 2nd edn., Fortran Numerical Recipes, 1, Cambridge University Press, Cambridge, UK, 1992.
Ribberink, J. S.: Bed-load transport for steady flows and unsteady oscillatory flows, Coast. Eng., 34, 59–82, https://doi.org/10.1016/S0378-3839(98)00013-1, 1998.
Sakellariou, D., Lykousis, V., Alexandri, S., Nomikou, P., and Rousakis, G.: Identification of Tsunami Source Areas in the Eastern Mediterranean that May Trigger Tsunamis in the Future, "Prevention and Management of Sea Originated Risks to the Coastal Zone" – CORI Project, INTERREG IIIB/ARCHIMED, Deliverable 1.1, University of the Aegean, Mytilene, Greece, 2007.
Salamon, A., Rockwell, T., Ward, S. N., Guidoboni, E., and Comastri, A.: Tsunami hazard evaluation of the eastern Mediterranean: historical analysis and selected modeling, B. Seismol. Soc. Am., 97, 705–724, https://doi.org/10.1785/0120060147, 2007.
Schäffer, H. A., Madsen, P. A., and Deigaard, R.: A Boussinesq model for waves breaking in shallow water, Coast. Eng., 20, 185–202, https://doi.org/10.1016/0378-3839(93)90001-O, 1993.
Soloviev, S. L., Solovieva, O. N., Go, C. N., Kim, K. S., and Shchetnikov, N. A.: Tsunamis in the Mediterranean Sea 2000 B.C.–200 A.D., Advances in Natural and Technological Hazards Research, Kluwer Academic Publishers, Dordrecht, the Netherlands, 2000.
Sørensen, M. B., Spada, M., Babeyko, A., Wiemer, S., and Grünthal, G.: Probabilistic tsunami hazard in the Mediterranean Sea, J. Geophys. Res.-Sol. Ea., 117, B01305, https://doi.org/10.1029/2010jb008169, 2012.
Stefatos, A., Charalambakis, M., Papatheodorou, G., and Ferentinos, G.: Tsunamigenic sources in an active European half-graben (Gulf of Corinth, Central Greece), Mar. Geol., 232, 35–47, https://doi.org/10.1016/j.margeo.2006.06.004, 2006.
Synolakis, C. E.: The runup of solitary waves, J. Fluid Mech., 185, 523–545, 1987.
Tinti, S., Maramai, A., and Graziani, L.: The new catalogue of Italian Tsunamis, Nat. Hazards, 33, 439–465, https://doi.org/10.1023/b:nhaz.0000048469.51059.65, 2004.
Tinti, S., Armigliato, A., Pagnoni, G., and Zaniboni, F.: Scenarios of giant tsunamis of tectonic origin in the mediterranean, ISET Journal of Earthquake Technology, 42, 171–188, 2005.
Titov, V. and González, F.: Implementation and testing of the method of splitting tsunami (MOST) model, NOAA/Pacific Marine Environmental Laboratory, Seattle, WA, NOAA Technical Memorandum ERL PMEL-112, UNIDATA, Seattle, WA, USA, 11 pp., 1997.
US Geological Survey/Global Data Explorer (USGS/GDE), available at: http://gdex.cr.usgs.gov/gdex/, last access: 17 February, 2015.
Wei, G. and Kirby, J.: Time-dependent numerical code for extended Boussinesq equations, J. Waterw. Port C. Div., 121, 251–261, https://doi.org/10.1061/(asce)0733-950x(1995)121:5(251), 1995.
Yolsal, S., Taymaz, T., and Yalçiner, A. C.: Understanding tsunamis, potential source regions and tsunami-prone mechanisms in the Eastern Mediterranean, Geol. Soc. Spec. Publ., 291, 201–230, https://doi.org/10.1144/sp291.10, 2007.
Zhan, J. M., Li, Y. S., and Wai, O. W. H.: Numerical modeling of multi-directional irregular waves incorporating 2-D numerical wave absorber and subgrid turbulence, Ocean Eng., 30, 23–46, https://doi.org/10.1016/S0029-8018(02)00005-7, 2003.
Zhou, H. and Teng, M.: Extended fourth-order depth-integrated model for water waves and currents generated by submarine landslides, J. Eng. Mech.-ASCE, 136, 506–516, https://doi.org/10.1061/(asce)em.1943-7889.0000087, 2009.
Zhou, H., Moore, C. W., Wei, Y., and Titov, V. V.: A nested-grid Boussinesq-type approach to modelling dispersive propagation and runup of landslide-generated tsunamis, Nat. Hazards Earth Syst. Sci., 11, 2677–2697, https://doi.org/10.5194/nhess-11-2677-2011, 2011.
Zou, Z. L.: Higher order Boussinesq equations, Ocean Eng., 26, 767–792, https://doi.org/10.1016/S0029-8018(98)00019-5, 1999.
Short summary
An advanced tsunami generation, propagation and coastal inundation model is applied to simulate representative earthquake-induced tsunami scenarios in the Eastern Mediterranean. Two areas of interest were selected after evaluating tsunamigenic zones and possible sources in the region: one at the SE of Crete (Greece) and one at the E of Sicily (Italy). Results are indicative of the model’s capabilities, as well of how areas in the Eastern Mediterranean would be affected by eventual larger events.
An advanced tsunami generation, propagation and coastal inundation model is applied to simulate...