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Complexity of Seismic Time Series : Measurement and Application /
Complexity of Seismic Time Series: Measurement and Application applies the tools of nonlinear dynamics to seismic analysis, allowing for the revelation of new details in micro-seismicity, new perspectives in seismic noise, and new tools for prediction of seismic events. The book summarizes both adva...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Amsterdam, Netherlands :
Elsevier,
[2018]
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Front Cover; Complexity of Seismic Time Series; Copyright Page; Contents; List of Contributors; Foreword; Introduction; References; I. Complexity Measurement in Seismograms and Natural and Artificial Time Series of EQs (Catalogs); 1 Analysis of the Complexity of Seismic Data Sets: Case Study for Caucasus; 1.1 Introduction; 1.2 Data; 1.2.1 Waiting Times and Earthquake Interdistances; 1.2.2 Ambient Seismic Noise; 1.3 Methods of Analysis; 1.4 Results of Analysis; 1.4.1 Waiting Times and Earthquake Interdistance Analysis; 1.4.2 Ambient Seismic Noise Data Analysis; 1.5 Conclusions; Acknowledgement.
- 2.5.1 The Frequency-Magnitude Distribution of Seismicity2.5.2 Temporal Variations and the Evolution of Seismicity; 2.5.3 Spatiotemporal Properties of Seismicity and Nonextensive Statistical Mechanics; 2.5.3.1 Spatial Properties of Seismicity; 2.5.3.2 Temporal Properties of Seismicity and the Risk Function; 2.6 Discussion
- Quo Vademus?; Acknowledgements; References; 3 Spatiotemporal Clustering of Seismic Occurrence and Its Implementation in Forecasting Models; 3.1 Introduction; 3.2 A Physical Interpretation of the ETAS Model; 3.2.1 Rate-and-State Friction.
- 3.2.2 Viscous Coupling With the Asthenosphere3.3 Short-Term Aftershock Incompleteness and Its Implementation in the ETAS Model; 3.3.1 Mechanisms Responsible for STAI; 3.3.2 The Dynamic Scaling ETAS Model; 3.3.3 The ETAS Incomplete Model; 3.4 Foreshock Occurrence in the ETAS Model; 3.4.1 The Foreshock Productivity Law and the Inverse Omori Law; 3.4.2 The Foreshock Spatial Distribution; 3.4.3 The ETAFS Model; 3.5 Numerical Implementation of the ETAS Model; References; 4 Fractal, Informational and Topological Methods for the Analysis of Discrete and Continuous Seismic Time Series: An Overview.
- 4.1 Introduction4.2 Fractal Methods; 4.2.1 Coefficient of Variation; 4.2.2 Detrended Fluctuation Analysis; 4.2.3 Multifractal Detrended Fluctuation Analysis; 4.2.4 Allan Factor; 4.3 Informational Methods; 4.4 Topological Methods; 4.5 Conclusions; References; 5 Modelling of Persistent Time Series by the Nonlinear Langevin Equation; 5.1 Introduction; 5.2 Modified Langevin Equation; 5.3 Reconstruction Procedures; 5.3.1 Modified Numerical Reconstruction Procedure (MNRP); 5.3.2 Modified Semianalytical Reconstruction Procedure (MsARP); 5.4 Testing of the Reconstruction Procedures; 5.5 Conclusions.