Разработка системы оценки параметров цунами у прибрежных территорий

Translated title of the contribution: Development of a System for Estimating Tsunami Parameters in Coastal Areas

Анастасия Евгеньевна Иванова, Алексей Анатольевич Романенко

Research output: Contribution to journalArticlepeer-review


The problem of timely warning the population about the danger of a tsunami is still relevant in the coastal areas around the world. Despite the fact that the tsunami is quite rare, the consequences could be disastrous. To assess the scale of possible damage, it is necessary to have information about the height and speed of the wave at the coastline. Scientists in Akademgorodok for many years engaged in the creation and implementation of tsunami waves modeling algorithms used to calculate the parameters of the tsunami near the coastline. The main purpose of this article is to integrate existing implementations of algorithms written in different programming languages (C ++, C, Python, Kotlin, Fortran, etc.) into a one system. This system will allow to calculate tsunami parameters at the protected coastline accepting seismic event data at the input. The article considered the main stages of the system, such as monitoring seismic activity, extracting data from the DART (Deep-ocean Assessment and Reporting of Tsunamis) stations, tidal components filtration and tsunami waves modeling, and intermediate steps associated with preprocessing and transformation of data. Special attention is paid to the development of the system architecture. The interaction between the modules is designed in such a way that new implementations of the algorithms can be easily integrated into the system
Translated title of the contributionDevelopment of a System for Estimating Tsunami Parameters in Coastal Areas
Original languageRussian
Pages (from-to)28-41
Number of pages14
JournalВестник Новосибирского государственного университета. Серия: Информационные технологии
Issue number1
Publication statusPublished - 2019

State classification of scientific and technological information

  • 68.01 Total agriculture

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