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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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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