PGA shaking maps in Russia by Eqalert.ru seismological service
1 Geophysical Technologies LLC
2 Far East Geological Institute, Far Eastern Branch of Russian Academy of Sciences
Journal: Problems of Engineering Seismology
Tome: 51
Number: 3
Year: 2024
Pages: 20-41
UDK: 550.34.052
DOI: 10.21455/VIS2024.3-2
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Konovalov
A.A A.V. PGA shaking maps in Russia by Eqalert.ru seismological service // . 2024. Т. 51. № 3. С. 20-41. DOI: 10.21455/VIS2024.3-2
@article{Konovalov
A.APGA2024,
author = "Konovalov
A.A, A. V.",
title = "PGA shaking maps in Russia by Eqalert.ru seismological service",
journal = "Problems of Engineering Seismology",
year = 2024,
volume = "51",
number = "3",
pages = "20-41",
doi = "10.21455/VIS2024.3-2",
language = "English"
}
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Keywords: earthquake, monitoring, shaking map, GMPE, strong ground motion, PGA, automated service, Russia
Аnnotation: The article presents the methodological aspects of the creation and operation of the first domestic seismological service in Russia, which supplies operational information about earthquakes and seismic effects all over the country. Specially for this, the zones with seismic risk were determined, and for each of them the corresponding attenuation equation of the peak ground acceleration was selected from the published global and regional models. The selection of equations was carried out on the basis of the seismotectonic principle of discrimination of seismogenic areas of the Earth and the reproducibility of calculations under conditions of an acute shortage of geophysical information. The seismological service supports three interfaces: Telegram bot, website, and mobile apps for iOS and Android. The software implementation was made on PHP, java script, swift and java programming languages. The key component of the service is an application programming interface (API) for automatic presentation of the data. The programming interface is the connecting link of the service and implements the interaction between major service components using the RESTfull API technology. The service presented in this article allows producing of the shaking maps quickly and accurately. Accuracy is achieved by using regionalized ground motion prediction equations, and efficiency is achieved by using several sources of the earthquake data. Geospatial characteristics of the ground shaking are presented for users in the form of shaking maps, while automated systems and services receive a complete set of data using API.