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Time Series Analysis in Seismology

  • ID: 4720844
  • Book
  • 430 Pages
  • Elsevier Science and Technology
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Time Series Analysis in Seismology: Practical Applications provides technical assistance and coverage of available methods to professionals working in the field of seismology. Beginning with a thorough review of open problems in geophysics, including tectonic plate dynamics, localization of solitons, and forecasting, the book goes on to describe the various types of time series or punctual processes obtained from those systems. Additionally, the book describes a variety of methods and techniques relating to seismology and includes a discussion of future developments and improvements.

The book offers a concise presentation of the most recent advances in the analysis of geophysical data, particularly with regard to seismology, making it a valuable tool for researchers and students working in seismology and geophysics.

  • Presents the necessary tools for time series analysis as it relates to seismology in a compact and consistent manner
  • Includes a discussion of technical resources that can be applied to time series data analysis across multiple disciplines
  • Describes the methods and techniques available for solving problems related to the analysis of complex data sets
  • Provides exercises at the end of each chapter to enhance comprehension
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1. Overview of open problems in seismology 2. Fractals and multifractals 3. Non-extensive statistics in time series 4. Visibility graphs 5. Natural time domains in time series 6. Multiscale analysis 7. Complexity measures 8. Future developments

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Ramírez-Rojas, Alejandro
Alejandro Ramírez-Rojas is a professor at the Universidad Autonoma Metropolitana and has a PhD in physics. His research focuses on time series analysis in geophysics with particular focus in seismology. He is involved with applications of spectral analysis, fractal and multifractal analysis, non-extensive statistics, visibility graphs, natural time domain, Allan factor, visual recurrence analysis, and complexity measures to real and synthetic seismicity.
Sigalotti, Leonardo Di G
Leonardo Di G Sigalotti is a professor at the Universidad Autonoma Metropolitana and has a PhD in Astrophysics. He studies computational fluid dynamics, multiphase and multicomponent compositional flows, nonlinear elasticity and granular media. His research also includes mathematical development and consistency analysis of particle methods, thermo-fluidics, and star formation processes.
Flores Márquez, Elsa Leticia
Elsa Leticia Flores Márquez obtained a PhD in Earth Sciences from the Polytechnic Institute of Lorraine (INPL) in France. She has developed interdisciplinary studies of the Earth system, including approaches of tectonics, seismicity, geophysical exploration, hydrogeology, geothermics, impact craters and computational modeling of terrestrial systems in particular of aquifers, black oil and geothermal zones. She has been associate editor of Hydrology Journal and reviewer for several international and national journals: Hydrology Journal, Geophysical International, Geophysical Prospecting, Near Surface Geophysics, Geophysica Acta and Communications in Nonlinear Science and Numerical Simulation.
Rendón, Otto
Otto Rendon is a professor at the Universidad de Carabobo and has a PhD in Physics. His research interests include statistical physics, time series analysis, distributions and generalized functions with applications to physics, mathematical development, and consistency analysis of particle methods.
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