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Earthquakes : models, statistics, testable forecasts / Yan Y. Kagan.

By: Series: Statistical physics of fracture and breakdown seriesPublisher: Hoboken, NJ : John Wiley & Sons Inc., 2014Description: 1 online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781118637890
  • 1118637895
  • 9781118637883
  • 1118637887
  • 9781118637913
  • 1118637917
Subject(s): Genre/Form: Additional physical formats: Print version:: Earthquakes.DDC classification:
  • 551.2201/12 23
LOC classification:
  • QE538.8
Online resources: In: Wiley e-booksSummary: 'The proposed 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'-- Provided by publisher.Summary: 'Our purpose is to analyze the causes of recent failures in earthquake forecasting, as well as the difficulties in earthquake investigation'-- Provided by publisher.
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Includes bibliographical references and index.

'The proposed 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'-- Provided by publisher.

'Our purpose is to analyze the causes of recent failures in earthquake forecasting, as well as the difficulties in earthquake investigation'-- Provided by publisher.

Print version record and CIP data provided by publisher.

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