COMPUTATIONAL TECHNOLOGY FOR THE REMOTE TSUNAMI HAZARD ASSESSMENT
Artem A. Bykov, Nadezhda O. Kudrya, Mikhail A. Kurako, Konstantin V. Simonov
Institute of Space and Information Technologies Siberian Federal University, Leading Researcher, Institute of Computational Modelling Siberian Branch of the Russian Academy of Sciences
In the present work is aimed at solving the actual scientific task of estimating the expected offshore tsunami heights and identifying probably flooding areas for the coast. To solve this, data from seismic and hydrophysical monitoring are required. The results of the experimental work will reduce the risks of tsunami damage and minimizing the number of false alarms
еarthquake, tsunami, asymptotic formulae, hydrophysical monitoring, tsunami numerical modeling, computational experiment