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Earthquake Occurrences And Stochastic Modeling

Author: K. Saasi

Publisher:

Published: 2023-11-05

Total Pages: 0

ISBN-13: 9787608609972

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"Earthquake Occurrences And Stochastic Modeling" is a comprehensive book that explores the field of earthquake seismology using stochastic modeling techniques. The book covers a wide range of topics related to seismicity, including seismic hazard, statistical analysis, earthquake prediction, and seismic precursors. Author explore into the complexities of time-dependent earthquake occurrences, focusing on the probability of earthquakes and the Poisson process. They also discuss rate changes, triggering, fault systems, and seismicity rates. The book covers the underlying physics of earthquakes, including tectonics, magnitude, fracture mechanics, and Coulomb stress. It covers various laws that govern earthquake occurrence, such as the Gutenberg-Richter law, Omori's law, and the laws governing aftershocks and foreshocks. They discuss the use of Bayesian inference, maximum likelihood, Markov chains, and Monte Carlo simulations in modeling seismic events. The book also covers the use of synthetic catalogs, intensity-based approaches, space-time clustering, and conditional intensity functions for earthquake risk assessment. Finally, the authors delve into ground motion prediction, seismic source characterization, and hazard maps. Overall, this book is an essential resource for researchers and practitioners in the field of earthquake seismology, providing a thorough and detailed overview of stochastic modeling techniques and their application in understanding earthquake occurrences.

Book Synopsis Earthquake Occurrences And Stochastic Modeling by : K. Saasi

Download or read book Earthquake Occurrences And Stochastic Modeling written by K. Saasi and published by . This book was released on 2023-11-05 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Earthquake Occurrences And Stochastic Modeling" is a comprehensive book that explores the field of earthquake seismology using stochastic modeling techniques. The book covers a wide range of topics related to seismicity, including seismic hazard, statistical analysis, earthquake prediction, and seismic precursors. Author explore into the complexities of time-dependent earthquake occurrences, focusing on the probability of earthquakes and the Poisson process. They also discuss rate changes, triggering, fault systems, and seismicity rates. The book covers the underlying physics of earthquakes, including tectonics, magnitude, fracture mechanics, and Coulomb stress. It covers various laws that govern earthquake occurrence, such as the Gutenberg-Richter law, Omori's law, and the laws governing aftershocks and foreshocks. They discuss the use of Bayesian inference, maximum likelihood, Markov chains, and Monte Carlo simulations in modeling seismic events. The book also covers the use of synthetic catalogs, intensity-based approaches, space-time clustering, and conditional intensity functions for earthquake risk assessment. Finally, the authors delve into ground motion prediction, seismic source characterization, and hazard maps. Overall, this book is an essential resource for researchers and practitioners in the field of earthquake seismology, providing a thorough and detailed overview of stochastic modeling techniques and their application in understanding earthquake occurrences.

Statistical Methods and Modeling of Seismogenesis

Author: Nikolaos Limnios

Publisher: John Wiley & Sons

Published: 2021-03-31

Total Pages: 336

ISBN-13: 1119825032

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The study of earthquakes is a multidisciplinary field, an amalgam of geodynamics, mathematics, engineering and more. The overriding commonality between them all is the presence of natural randomness. Stochastic studies (probability, stochastic processes and statistics) can be of different types, for example, the black box approach (one state), the white box approach (multi-state), the simulation of different aspects, and so on. This book has the advantage of bringing together a group of international authors, known for their earthquake-specific approaches, to cover a wide array of these myriad aspects. A variety of topics are presented, including statistical nonparametric and parametric methods, a multi-state system approach, earthquake simulators, post-seismic activity models, time series Markov models with regression, scaling properties and multifractal approaches, selfcorrecting models, the linked stress release model, Markovian arrival models, Poisson-based detection techniques, change point detection techniques on seismicity models, and, finally, semi-Markov models for earthquake forecasting.

Book Synopsis Statistical Methods and Modeling of Seismogenesis by : Nikolaos Limnios

Download or read book Statistical Methods and Modeling of Seismogenesis written by Nikolaos Limnios and published by John Wiley & Sons. This book was released on 2021-03-31 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: The study of earthquakes is a multidisciplinary field, an amalgam of geodynamics, mathematics, engineering and more. The overriding commonality between them all is the presence of natural randomness. Stochastic studies (probability, stochastic processes and statistics) can be of different types, for example, the black box approach (one state), the white box approach (multi-state), the simulation of different aspects, and so on. This book has the advantage of bringing together a group of international authors, known for their earthquake-specific approaches, to cover a wide array of these myriad aspects. A variety of topics are presented, including statistical nonparametric and parametric methods, a multi-state system approach, earthquake simulators, post-seismic activity models, time series Markov models with regression, scaling properties and multifractal approaches, selfcorrecting models, the linked stress release model, Markovian arrival models, Poisson-based detection techniques, change point detection techniques on seismicity models, and, finally, semi-Markov models for earthquake forecasting.

Earthquake Statistical Analysis Through Multi-state Modeling

Author: Irene Votsi

Publisher:

Published: 2019

Total Pages:

ISBN-13: 9781119579076

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Book Synopsis Earthquake Statistical Analysis Through Multi-state Modeling by : Irene Votsi

Download or read book Earthquake Statistical Analysis Through Multi-state Modeling written by Irene Votsi and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Earthquakes

Author: Yan Y. Kagan

Publisher: John Wiley & Sons

Published: 2013-12-18

Total Pages: 358

ISBN-13: 1118637895

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This book is the first comprehensive and methodologically rigorous analysis of earthquake occurrence. Models based on the theory of the stochastic multidimensional point processes are employed to approximate the earthquake occurrence pattern and evaluate its parameters. The Author shows that most of these parameters have universal values. These results help explain the classical earthquake distributions: Omori's law and the Gutenberg-Richter relation. The Author derives a new negative-binomial distribution for earthquake numbers, instead of the Poisson distribution, and then determines a fractal correlation dimension for spatial distributions of earthquake hypocenters. The book also investigates the disorientation of earthquake focal mechanisms and shows that it follows the rotational Cauchy distribution. These statistical and mathematical advances make it possible to produce quantitative forecasts of earthquake occurrence. In these forecasts earthquake rate in time, space, and focal mechanism orientation is evaluated.

Book Synopsis Earthquakes by : Yan Y. Kagan

Download or read book Earthquakes written by Yan Y. Kagan and published by John Wiley & Sons. This book was released on 2013-12-18 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the first comprehensive and methodologically rigorous analysis of earthquake occurrence. Models based on the theory of the stochastic multidimensional point processes are employed to approximate the earthquake occurrence pattern and evaluate its parameters. The Author shows that most of these parameters have universal values. These results help explain the classical earthquake distributions: Omori's law and the Gutenberg-Richter relation. The Author derives a new negative-binomial distribution for earthquake numbers, instead of the Poisson distribution, and then determines a fractal correlation dimension for spatial distributions of earthquake hypocenters. The book also investigates the disorientation of earthquake focal mechanisms and shows that it follows the rotational Cauchy distribution. These statistical and mathematical advances make it possible to produce quantitative forecasts of earthquake occurrence. In these forecasts earthquake rate in time, space, and focal mechanism orientation is evaluated.

Statistical Seismology

Author: David Vere-Jones

Publisher: Pageoph Topical Volumes

Published: 2005-07-19

Total Pages: 382

ISBN-13:

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Statistical Seismology aims to bridge the gap between physics-based and statistics-based models. This volume provides a combination of reviews, methodological studies, and applications, which point to promising efforts in this field. The volume will be useful to students and professional researchers alike, who are interested in using stochastic modeling for probing the nature of earthquake phenomena, as well as an essential ingredient for earthquake forecasting.

Book Synopsis Statistical Seismology by : David Vere-Jones

Download or read book Statistical Seismology written by David Vere-Jones and published by Pageoph Topical Volumes. This book was released on 2005-07-19 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Seismology aims to bridge the gap between physics-based and statistics-based models. This volume provides a combination of reviews, methodological studies, and applications, which point to promising efforts in this field. The volume will be useful to students and professional researchers alike, who are interested in using stochastic modeling for probing the nature of earthquake phenomena, as well as an essential ingredient for earthquake forecasting.

Earthquake Statistical Analysis through Multi-state Modeling

Author: Irene Votsi

Publisher: John Wiley & Sons

Published: 2019-04-02

Total Pages: 196

ISBN-13: 1786301504

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Earthquake occurrence modeling is a rapidly developing research area. This book deals with its critical issues, ranging from theoretical advances to practical applications. The introductory chapter outlines state-of-the-art earthquake modeling approaches based on stochastic models. Chapter 2 presents seismogenesis in association with the evolving stress field. Chapters 3 to 5 present earthquake occurrence modeling by means of hidden (semi-)Markov models and discuss associated characteristic measures and relative estimation aspects. Further comparisons, the most important results and our concluding remarks are provided in Chapters 6 and 7.

Book Synopsis Earthquake Statistical Analysis through Multi-state Modeling by : Irene Votsi

Download or read book Earthquake Statistical Analysis through Multi-state Modeling written by Irene Votsi and published by John Wiley & Sons. This book was released on 2019-04-02 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: Earthquake occurrence modeling is a rapidly developing research area. This book deals with its critical issues, ranging from theoretical advances to practical applications. The introductory chapter outlines state-of-the-art earthquake modeling approaches based on stochastic models. Chapter 2 presents seismogenesis in association with the evolving stress field. Chapters 3 to 5 present earthquake occurrence modeling by means of hidden (semi-)Markov models and discuss associated characteristic measures and relative estimation aspects. Further comparisons, the most important results and our concluding remarks are provided in Chapters 6 and 7.

Earthquake Occurrence

Author: Rodolfo Console

Publisher: John Wiley & Sons

Published: 2017-08-07

Total Pages: 166

ISBN-13: 1786301245

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Earthquake Occurrence provides the reader with a review of algorithms applicable for modeling seismicity, such as short-term earthquake clustering and pseudo-periodic long-term behavior of major earthquakes. The concept of the likelihood ratio of a set of observations under different hypotheses is applied for comparison among various models. In short-term models, known by the term ETAS, the occurrence space and time rate density of earthquakes is modeled as the sum of two terms, one representing the independent or spontaneous events, and the other representing the activity triggered by previous earthquakes. Examples of the application of such algorithms in real cases are also reported. Dealing with long-term recurrence models, renewal time-dependent models, implying a pseudo-periodicity of earthquake occurrence, are compared with the simple time-independent Poisson model, in which every event occurs regardless of what has occurred in the past. The book also introduces a number of computer codes developed by the authors over decades of seismological research.

Book Synopsis Earthquake Occurrence by : Rodolfo Console

Download or read book Earthquake Occurrence written by Rodolfo Console and published by John Wiley & Sons. This book was released on 2017-08-07 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: Earthquake Occurrence provides the reader with a review of algorithms applicable for modeling seismicity, such as short-term earthquake clustering and pseudo-periodic long-term behavior of major earthquakes. The concept of the likelihood ratio of a set of observations under different hypotheses is applied for comparison among various models. In short-term models, known by the term ETAS, the occurrence space and time rate density of earthquakes is modeled as the sum of two terms, one representing the independent or spontaneous events, and the other representing the activity triggered by previous earthquakes. Examples of the application of such algorithms in real cases are also reported. Dealing with long-term recurrence models, renewal time-dependent models, implying a pseudo-periodicity of earthquake occurrence, are compared with the simple time-independent Poisson model, in which every event occurs regardless of what has occurred in the past. The book also introduces a number of computer codes developed by the authors over decades of seismological research.

Earthquake Statistical Analysis through Multi-state Modeling

Author: Irene Votsi

Publisher: John Wiley & Sons

Published: 2019-01-03

Total Pages: 180

ISBN-13: 1119579066

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Book Synopsis Earthquake Statistical Analysis through Multi-state Modeling by : Irene Votsi

Download or read book Earthquake Statistical Analysis through Multi-state Modeling written by Irene Votsi and published by John Wiley & Sons. This book was released on 2019-01-03 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: Earthquake occurrence modeling is a rapidly developing research area. This book deals with its critical issues, ranging from theoretical advances to practical applications. The introductory chapter outlines state-of-the-art earthquake modeling approaches based on stochastic models. Chapter 2 presents seismogenesis in association with the evolving stress field. Chapters 3 to 5 present earthquake occurrence modeling by means of hidden (semi-)Markov models and discuss associated characteristic measures and relative estimation aspects. Further comparisons, the most important results and our concluding remarks are provided in Chapters 6 and 7.

Seismicity Patterns, their Statistical Significance and Physical Meaning

Author: Max Wyss

Publisher: Springer Science & Business Media

Published: 1999-08-01

Total Pages: 536

ISBN-13: 9783764362096

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204 Pure app!. geophys. , P. Reasenberg demonstrated that in Cascadia earthquakes are four times more likely to be foreshocks than in California. Many speakers emphasized the regional differences in all earthquake parameters, and it was generally understood that basic models of the earthquake occurrence must be modified for regional application. The idea that the focal mechanisms of foreshocks may differ from that of background activity was advocated by Y. Chen and identified by M. Ohtake as possibly the thus far most neglected property of foreshocks, in efforts to identify them. S. Matsumura proposed that focal mechanism patterns of small earthquakes may differ character istically near locked fault segments into which fault creep is advancing. Considerable discussion was devoted to the status of the seismic gap hypothesis because M. Wyss argued that the occurrence of the M 7. 9, 1986, Andreanof Islands earthquake was a confirmation of Reid's rebound theory of earthquakes and thus of the time predictable version of the gap hypothesis, whereas Y. Kagan believed he could negate this view by presenting a list of nine earthquake pairs with M> 7. 4, moment centroid separation of less than 100 km, and time difference less than about 60% of the time he estimated it would take plate motions to restore the slip of the first event.

Book Synopsis Seismicity Patterns, their Statistical Significance and Physical Meaning by : Max Wyss

Download or read book Seismicity Patterns, their Statistical Significance and Physical Meaning written by Max Wyss and published by Springer Science & Business Media. This book was released on 1999-08-01 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt: 204 Pure app!. geophys. , P. Reasenberg demonstrated that in Cascadia earthquakes are four times more likely to be foreshocks than in California. Many speakers emphasized the regional differences in all earthquake parameters, and it was generally understood that basic models of the earthquake occurrence must be modified for regional application. The idea that the focal mechanisms of foreshocks may differ from that of background activity was advocated by Y. Chen and identified by M. Ohtake as possibly the thus far most neglected property of foreshocks, in efforts to identify them. S. Matsumura proposed that focal mechanism patterns of small earthquakes may differ character istically near locked fault segments into which fault creep is advancing. Considerable discussion was devoted to the status of the seismic gap hypothesis because M. Wyss argued that the occurrence of the M 7. 9, 1986, Andreanof Islands earthquake was a confirmation of Reid's rebound theory of earthquakes and thus of the time predictable version of the gap hypothesis, whereas Y. Kagan believed he could negate this view by presenting a list of nine earthquake pairs with M> 7. 4, moment centroid separation of less than 100 km, and time difference less than about 60% of the time he estimated it would take plate motions to restore the slip of the first event.

Extreme Environmental Events

Author: Robert A. Meyers

Publisher: Springer Science & Business Media

Published: 2010-11-03

Total Pages: 1273

ISBN-13: 1441976949

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Extreme Environmental Events is an authoritative single source for understanding and applying the basic tenets of complexity and systems theory, as well as the tools and measures for analyzing complex systems, to the prediction, monitoring, and evaluation of major natural phenomena affecting life on earth. These phenomena are often highly destructive, and include earthquakes, tsunamis, volcanoes, climate change,, and weather. Early warning, damage, and the immediate response of human populations to these phenomena are also covered from the point of view of complexity and nonlinear systems. In 61 authoritative, state-of-the art articles, world experts in each field apply such tools and concepts as fractals, cellular automata, solitons game theory, network theory, and statistical physics to an understanding of these complex geophysical phenomena.

Book Synopsis Extreme Environmental Events by : Robert A. Meyers

Download or read book Extreme Environmental Events written by Robert A. Meyers and published by Springer Science & Business Media. This book was released on 2010-11-03 with total page 1273 pages. Available in PDF, EPUB and Kindle. Book excerpt: Extreme Environmental Events is an authoritative single source for understanding and applying the basic tenets of complexity and systems theory, as well as the tools and measures for analyzing complex systems, to the prediction, monitoring, and evaluation of major natural phenomena affecting life on earth. These phenomena are often highly destructive, and include earthquakes, tsunamis, volcanoes, climate change,, and weather. Early warning, damage, and the immediate response of human populations to these phenomena are also covered from the point of view of complexity and nonlinear systems. In 61 authoritative, state-of-the art articles, world experts in each field apply such tools and concepts as fractals, cellular automata, solitons game theory, network theory, and statistical physics to an understanding of these complex geophysical phenomena.