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Lincoln Bell
Lincoln Bell

2022 Tsunami Full Movie English Version ((FREE))


Set in the year 2022, centers on what happens in Bangkok when earthquakes occur at the same the time in 6 continents around the world, creating the biggest tsunami in history. Cast & Crew Details: Chumporn Teppitak




2022 tsunami full movie english version


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From January 15th, 2022, at approximately 4:47 pm local time (0347 UTC), several weeks of heightened activity at the Hunga volcano (Cronin et al., 2017) 65 km northwest of Tongatapu, culminated in an 11-hour long violent eruption. During the first 45 minutes of this eruption a massive atmospheric pressure wave and a series of tsunamis were generated and observed around the world (Carvajal et al., 2022, Lynett et al., 2022). The eruption severed an undersea telecommunications cable resulting in a near-blackout in communications between Tongatapu and the world as only satellite phones and HF radio were able to work. Restoration of communications through the repair of the cable took until 22 February 2022 (5.5 weeks).


In 2022, the Thai government is led by Prime Minister Traipop, a young politician who is considerate of public interests over political. 18 years after the 2004 tsunami, Traipop's administration sets up a national disaster alarm centre; Dr. Siam is its director, while the staff consists entirely of young people.


Although the movie was hyped as a potential blockbuster disaster film such as Independence Day, The Day After Tomorrow, 2012 or Korean film Haeundae, the release was criticized for its direct-to-video or B movie quality, resulting in a very low turnout.[8] In response to the criticism, Srichua considered organizing activities like fasting on a building's roof to simulate scenarios during a hypothetical tsunami. The events were ultimately not held.[2] Srichua eventually struggled with debt and stress, prompting him to attempt suicide.[2][3]


Subaerial landslides and volcano flank collapses can generate tsunamis with devastating consequences. The lack of comprehensive models incorporating both the landslide and the wave mechanics represents a gap in providing consistent predictions of real events. Here, we present a novel three-dimensional granular landslide and tsunami model and apply it to the 2014 Lake Askja landslide tsunami. For the first time, we consistently simulate small-scale laboratory experiments as well as full scale catastrophic events with the same model. The model captures the complete event chain from the landslide dynamics to the wave generation and inundation. Unique and complete field data, along with the limited geographic extent of Lake Askja enabled a rigorous validation. The model gives deep insights into the physical landslide processes and improves our understanding and prediction capabilities of frequent and catastrophic landslide tsunamis.


This work represents a major step forward in modelling subaerial landslide tsunamis. Hindcasting the small-scale experiment of Viroulet et al.23 demonstrates remarkable accuracy of wave kinematics and landslide run out, without the need for optimised parameters. Other observable details, such as the water intrusion and the frontal vortex appeared naturally in the simulations. The numerical results further compare well with the 2014 Lake Askja landslide tsunami at full scale, predicting tsunami run-up heights and landslide run-out as deduced from field observations6. Again, phenomena such as vertical granular jets occurred naturally in the simulations. However, the simulations are computationally expensive (see method section) and uncertainties of various nature (numerical, geological, constitutive parameters) are present. Differences between observations and simulations are small and improved agreement can most likely be obtained with a more careful estimation of the constitutive parameters, higher grid resolutions or by including additional processes, such as turbulence or surface tension. A long-standing problem of granular flow models, the apparent reduction of the friction coefficient for very large events42,43, remains unsolved in the presented model and it will be a major challenge to identify the responsible processes in the future. The presented model might be helpful in this endeavour as well, providing a strong platform for further developments.


The model is sufficiently complex to accurately predict the landslide dynamics and wave generation, but still efficient enough to tackle full three-dimensional problems. It is presently too computationally expensive for parametric studies or probabilistic analyses39, but provides fundamental new insight into the physics of landslide tsunamis. This model may hence be used operationally, to build an understanding of the involved processes or as a benchmark for a new generation of more efficient models. Calibrating and developing depth-integrated models with porous and granular character7,44,45 represents a possible path forward, while dynamic coupling with depth-integrated tsunami models for the far-field propagation15,46 represents another promising approach, deemed necessary for resolving problems where the tsunami propagates over long distances. Notably, the discrete element method (DEM)47 provides an alternative to continuum-mechanical models, however, for a substantially higher computational cost that scales unfavourable with the size of the event.


Full three-dimensional methods are relatively rare in the tsunami community but their application and the respective publications have been rising consistently in the last few years. In the present paper, we show that such models may provide the necessary paradigm shift to understand and predict landslide tsunamis. The μ(I),ϕ(I)-rheology plays a central role in this endeavour, because it allows to include the granular and porous nature of the slide. With the increasing computational capabilities expected in the near future, utilisation of fully three-dimensional models can become mainstream. This represents a unique opportunity to improve the protection of coastal communities and our understanding of devastating landslide tsunamis.


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