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2021 | OriginalPaper | Buchkapitel

Earthquake Prediction Based on Combined Seismic and GPS Monitoring Data

verfasst von : V. G. Gitis, A. B. Derendyaev, K. N. Petrov

Erschienen in: Computational Science and Its Applications – ICCSA 2021

Verlag: Springer International Publishing

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Abstract

This article presents the results of applying the method of the minimum area of alarm to the complex forecasting of earthquakes based on data of different types. Point fields of earthquake epicenters and time series of displacements of the earth’s surface, measured using GPS, were used for the prediction. Testing was carried out for earthquakes with a hypocenter depth of up to 60 km for two regions with different seismotectonics: Japan, the forecast time interval from 2016 to 2020, magnitudes \(m \ge 6\); California, the forecast time interval from 2013 to 2020, magnitude \(m \ge 5.5\). Testing has shown the effectiveness of systematic earthquake forecasting using seismological and space geodesy data in combination.

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Titel: Earthquake Prediction Based on Combined Seismic and GPS Monitoring Data
verfasst von: V. G. Gitis
A. B. Derendyaev
K. N. Petrov
Verlag: Springer International Publishing
Buch: Computational Science and Its Applications – ICCSA 2021
Print ISBN: 978-3-030-86978-6

Electronic ISBN: 978-3-030-86979-3

Copyright-Jahr: 2021
DOI: https://doi.org/10.1007/978-3-030-86979-3_42

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