Fractal analysis of GPS time series for early detection of disastrous seismic events

DOI10.1016/J.PHYSA.2016.11.046zbMath1400.86010OpenAlexW2550323945MaRDI QIDQ1620406

Alexey A. Lyubushin, Denis M. Filatov

Publication date: 13 November 2018

Published in: Physica A (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.physa.2016.11.046

zbMATH Keywords

critical statesmeasure of chaoticityprecursors of catastrophesdisastrous seismic eventsfractal analysis of stochastic dynamical systems

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Seismology (including tsunami modeling), earthquakes (86A15) Geostatistics (86A32) Time series analysis of dynamical systems (37M10)

Related Items (2)

Scale invariance behavior for pre and post-2015 Nepal Gorkha earthquake GPS time series based on fractal analysis ⋮ A method for identification of critical states of open stochastic dynamical systems based on the analysis of acceleration

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• A method for identification of critical states of open stochastic dynamical systems based on the analysis of acceleration
• Turbulent motion and the structure of chaos. A new approach to the statistical theory of open systems. Transl. from the Russian by Alexander Dubroslavsky
• Statistical theory of open systems. Vol. 1. A unified approach to kinetic description of processes in active systems. Transl. from the manuscript by A. Dobroslavsky
• From 1/f noise to multifractal cascades in heartbeat dynamics
• Information and self-organization. A macroscopic approach to complex systems.

This page was built for publication: Fractal analysis of GPS time series for early detection of disastrous seismic events