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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.
List of contents
Statistical Seismology.- The Role of Heterogeneities as a Tuning Parameter of Earthquake Dynamics.- Aftershock Statistics.- Stochastic Branching Models of Fault Surfaces and Estimated Fractal Dimensions.- Power-law Distributions of Offspring and Generation Numbers in Branching Models of Earthquake Triggering.- Interevent Time Distribution in Seismicity: A Theoretical Approach.- Methods for Measuring Seismicity Rate Changes: A Review and a Study of How the M w 7.3 Landers Earthquake Affected the Aftershock Sequence of the M w 6.1 Joshua Tree Earthquake.- Approximating the Distribution of Pareto Sums.- The Entropy Score and its Uses in Earthquake Forecasting.- A Simplified Approach to Earthquake Risk in Mainland China.- Test of the EEPAS Forecasting Model on the Japan Earthquake Catalogue.- Tidal Stress/Strain and the b-values of Acoustic Emissions at the Underground Research Laboratory, Canada.- Use of Potential Foreshocks to Estimate the Short-term Probability of Large Earthquakes, Tohoku, Japan.- A Point-process Analysis of the Matsushiro Earthquake Swarm Sequence: The Effect of Water on Earthquake Occurrence.- Seismic Hazard Evaluation Using Markov Chains: Application to the Japan Area.- Preliminary Analysis of Observations on the Ultra-Low Frequency Electric Field in the Beijing Region.
Summary
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.
