Author
Listed:
- Tang-Jin Yuan
(China Agricultural University)
- Liu-Chao Qiu
(China Agricultural University)
- Yi-Yang Shen
(China Agricultural University)
- Yi-Cheng Wang
(China Agricultural University)
Abstract
Landslide-triggered tsunami can cause extensive environmental destruction and significant loss of life and property. Accurate prediction of their maximum amplitude is crucial for taking effective protective measures. This study employs a two-layer two-phase smoothed particle hydrodynamics (SPH) method for meshless numerical simulations and parameter sensitivity analyses of the Lituya Bay mega-tsunami. Results demonstrate that the two-layer two-phase SPH method effectively and accurately simulates the Lituya Bay mega-tsunami. Based on numerical validation, the subsequent parameter analyses reveal a strong dependence of the maximum landslide-tsunami amplitude on the landslide velocity, irrespective of downstream water depth, with the amplitude increasing substantially as landslide velocity rises. Moreover, landslide density plays a significant role in influencing the landslide-tsunami when the downstream water depth is shallow; however, this influence diminishes in deeper water. Furthermore, the maximum landslide-tsunami amplitude decreases linearly with increasing internal friction angle of the landslide. In addition, this paper develops a nonlinear model that accurately characterizes the relationship between the maximum landslide-tsunami amplitude, the landslide initial velocity, and the downstream water depth. With a coefficient of determination (R²) of 0.9981, the model accurately predicts the maximum landslide-tsunami amplitude, providing valuable theoretical insights and supports for making protection decisions accordingly.
Suggested Citation
Tang-Jin Yuan & Liu-Chao Qiu & Yi-Yang Shen & Yi-Cheng Wang, 2025.
"Meshfree modeling of landslide-generated mega-tsunami in Lituya Bay using a two-layer two-phase SPH,"
Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 121(17), pages 19631-19650, October.
Handle:
RePEc:spr:nathaz:v:121:y:2025:i:17:d:10.1007_s11069-025-07593-6
DOI: 10.1007/s11069-025-07593-6
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