Abstract
Recent submarine mass failures that generated tsunami have caused people to pay more attention because of the resultant casualties. A submarine landslide tsunami requires more computer time for the simulation because of the high spatial resolution and associated short time steps even though the computational domain is smaller than that of a seismic tsunami. To reduce the resources to forecast tsunamis, reciprocal Green’s functions have been proposed and the forecast results are verified by comparing with direct numerical simulations of a tsunami model COMCOT. However, due to features different to seismic tsunamis, some precautions should be taken in applying this approach in submarine landslide tsunamis. Possible solutions to overcome difficulties using this approach are also recommended. Finally, suggestions based on reciprocal Green’s functions are advanced to build a practical forecast system for submarine landslide tsunamis.
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References
Caplan-Auerbach J, Fox CG, Duennebier FK (2001) Hydroacoustic detection of submarine landslides on Kilauea Volcano. Geophys Res Lett 28(9):1811–1813. 10.1029/2000GL012545
Chen G-Y, Chien C-C, Su C-H, Tseng H-M (2004) Resonance induced by edge waves in Hua-Lien Harbor. J Oceanogr 60(6):1035–1043
Chen G-Y, Lin C-H, Liu C-C (2012) Quick evaluation of runup height and inundation area for early warning of tsunami. J Earthq Tsunami 1250005:1–23. https://doi.org/10.1142/S1793431112500054
Chen G-Y, Liu C-C (2009) Evaluating the location of tsunami sensors: methodology and application to the northeast coast of Taiwan. Terr Atmos Ocean Sci 20(4):563–571. https://doi.org/10.3319/TAO.2008.08.04.01(T)
Chen G-Y, Liu C-C (2020) Reciprocal elevation and flow Green's functions and the simulation of nearshore tsunami Inundation, Ocean Eng 210:107497. https://doi.org/10.1016/j.oceaneng.2020.107497
Chen G-Y, Liu C-C, Wijetunge JJ, Wang Y-F (2020) Reciprocal Green’s functions and the quick forecast of submarine landslide tsunami. Nat Hazards Earth Syst Sci 20:771–781. https://doi.org/10.5194/nhess-2019-124
Chen G-Y, Liu C-C, Yao C-C (2015) A forecast system for offshore water surface elevation with inundation map integrated for tsunami early warning. Ocean Eng, IEEE J. https://doi.org/10.1109/JOE.2013.2295948
Corona N, Ramírez-Herrera MT (2015) Did an underwater landslide trigger the June 22, 1932 tsunami off the Pacific coast of Mexico? Pure Appl Geophys 172(12):3573–3587
Enet F, Grilli ST (2007) Experimental study of tsunami generation by three-dimensional rigid underwater landslides. J Waterw Port Coastal Ocean Eng 133(6):442–454
Grilli ST, O’Reilly C, Harris JC, Bakhsh TT, Tehranirad T, Banihashemi S, Kirby JT, Baxter CDP, Eggeling T, Ma G, Shi F (2015) Modeling of SMF tsunami hazard along the upper US East Coast: detailed impact around Ocean City, MD. Nat Hazards 76(2):705–746. https://doi.org/10.1007/s11069-014-1522-8
Harbitz CB, Løvholt F, Bungum H (2013) Submarine landslide tsunamis: how extreme and how likely? Nat Hazards 72:1341–1374. https://doi.org/10.1007/s11069-013-0681-3
Heidarzadeh M, Muhari A, Wijanarto AB (2018) Insights on the source of the 28 September 2018 Sulawesi Tsunami, Indonesia based on spectral analyses and numerical simulations. Pure Appl Geophys 176:25–43. https://doi.org/10.1007/s00024-018-2065-9
Leonard LJ, Rogers GC, Mazzotti S (2014) Tsunami hazard assessment of Canada. Nat Hazards 70:237–274. https://doi.org/10.1007/s11069-013-0809-5
Li LL, Switzer AD, Wang Y, Weiss R, Qiu Q, Chan C-H, Tapponnier P (2015) What caused the mysterious 18th century tsunami that struck the southwest Taiwan coast? Geophys Res Lett 42(20):8498–8506. https://doi.org/10.1002/2015GL065567
Lin J-H, Chen Y-F, Liu C-C, Chen G-Y (2014) Building a pre-calculated quick forecast system for tsunami runup height. J Earthq Tsunami 8(3):1440002. https://doi.org/10.1142/S1793431114400028
Løvholt F, Pedersen G, Harbitz CB, Glimsdal S, Kim J (2015) On the characteristics of landslide tsunamis. Phil Trans R Soc A 373:20140376. https://doi.org/10.1098/rsta.2014.0376
Sepúlveda SA, Serey A, Lara M, Pavez A, Rebolledo S (2010) Landslides induced by the April 2007 Aysén Fjord earthquake, Chilean Patagonia. Landslides 7:483–492. https://doi.org/10.1007/s10346-010-0203-2
Tappin DR, Watts P, McMurtry GM, Lafoy Y, Matsumoto T (2001) The Sissano, Papua New Guinea tsunami of July 1998--offshore evidence on the source mechanism. Mar Geol 175(1–4):1–23. https://doi.org/10.1016/S0025-3227(01)00131-1
Tappin DR, Grilli ST, Harris JC, Geller RJ, Masterlark T, Kirby JT, Shi F, Ma G, Thingbaijam KKS, Mai PM (2014) Did a submarine landslide contribute to the 2011 Tohoku tsunami? Mar Geol 357:344–361. https://doi.org/10.1016/j.margeo.2014.09.043
Wang X, Power W (2011). COMCOT: a tsunami generation propagation and run-up model, GNS Science Report 2011/43, pp 129
Wu C-Y (2008) The distribution of submarine and characteristics landslides offshore southern Taiwan (in Chinese), Master thesis, Natl. Taiwan Univ., Inst. of Oceanography, Taiwan
Yalciner AC, Gülkan P, Dilmen DI, Aytore B, Ayca A, Insel I, Zaytsev A (2014) Evaluation of tsunami scenarios for western Peloponnese, Greece. Bollettino di Geofisica Teorica ed Applicata. https://doi.org/10.4430/bgta0126
Acknowledgements
This research was completed with grants from the Ministry of Science and Technology of Taiwan (MOST 108-2611-M-110-020).
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Chen, GY., Liu, CC., Wang, YF. (2021). Application of Reciprocal Green’s Functions on the Forecast of Submarine Landslide Tsunamis. In: Tiwari, B., Sassa, K., Bobrowsky, P.T., Takara, K. (eds) Understanding and Reducing Landslide Disaster Risk. WLF 2020. ICL Contribution to Landslide Disaster Risk Reduction. Springer, Cham. https://doi.org/10.1007/978-3-030-60706-7_19
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