Siberian Federal University 
- Issue
- Journal of Siberian Federal University. Engineering & Technologies. 2010 3 (1)
- Authors
- Simonov, Konstantin V.
- Contact information
- Simonov, Konstantin V. : Institute Computational Modeling SB RAS; Akademgorodok, Krasnoyarsk, 660036 Russia, e-mail:
- Keywords
- ocean impact crater; tsunami geology problem; mega tsunami; chevron dunes; depositional traces; computational experiment; neural network technology; wavelet analysis
- Abstract
The paper aims to fill the gap between geological practice on the problem of the recent traces of oceanic cosmic impacts and computational experiment on tsunami geology problem. Computational experiment and numerical analysis data of the oceanic comet impacts could be more effective for mega tsunami understanding and prediction than the traditional geological methods. We explored the depositional traces of large-scale water impact on the coast and modeling of mega tsunami given the steep waves and Mach reflection on the rocky shore and described chevron dunes form on the base of neural network technology to solve the inverse tsunami problem. The ocean impact craters were explored using the wavelet analysis digital data of the ocean bottom.
- Pages
- 104-122
- Paper at repository of SibFU
- https://elib.sfu-kras.ru/handle/2311/1633
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).