Statistical Physics Approaches to Seismicity
D. Sornette (ETH Zurich), M.J. Werner (ETH Zurich)

TL;DR
This paper reviews how statistical physics concepts and models are applied to understand the complex space-time patterns of earthquakes, highlighting theoretical frameworks, new metrics, and future research directions.
Contribution
It provides a comprehensive summary of physical models and metrics used in seismicity analysis, emphasizing their strengths, weaknesses, and potential future developments.
Findings
Identification of key physical models of earthquake organization
Evaluation of new metrics for seismic pattern analysis
Discussion of challenges and future research directions in the field
Abstract
This entry in the Encyclopedia of Complexity and Systems Science, Springer present a summary of some of the concepts and calculational tools that have been developed in attempts to apply statistical physics approaches to seismology. We summarize the leading theoretical physical models of the space-time organization of earthquakes. We present a general discussion and several examples of the new metrics proposed by statistical physicists, underlining their strengths and weaknesses. The entry concludes by briefly outlining future directions. The presentation is organized as follows. I Glossary II Definition and Importance of the Subject III Introduction IV Concepts and Calculational Tools IV.1 Renormalization, Scaling and the Role of Small Earthquakes in Models of Triggered Seismicity IV.2 Universality IV.3 Intermittent Periodicity and Chaos IV.4 Turbulence IV.5 Self-Organized Criticality…
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Taxonomy
TopicsComplex Systems and Time Series Analysis · Earthquake Detection and Analysis · earthquake and tectonic studies
