Nonlinear dynamics of the lithosphere and earthquake prediction

書誌事項

Nonlinear dynamics of the lithosphere and earthquake prediction

Vladimir I. Keilis-Borok, Alexandre A. Soloviev (eds.)

(Springer series in synergetics)(Physics and astronomy online library)

Springer, c2003

  • : pbk

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注記

Includes bibliographical references (p. [311]-332) and index

内容説明・目次

内容説明

The vulnerability of our civilization to earthquakes is rapidly growing, rais ing earthquakes to the ranks of major threats faced by humankind. Earth quake prediction is necessary to reduce that threat by undertaking disaster preparedness measures. This is one of the critically urgent problems whose solution requires fundamental research. At the same time, prediction is a ma jor tool of basic science, a source of heuristic constraints and the final test of theories. This volume summarizes the state-of-the-art in earthquake prediction. Its following aspects are considered: - Existing prediction algorithms and the quality of predictions they pro vide. - Application of such predictions for damage reduction, given their current accuracy, so far limited. - Fundamental understanding of the lithosphere gained in earthquake prediction research. - Emerging possibilities for major improvements of earthquake prediction methods. - Potential implications for predicting other disasters, besides earthquakes. Methodologies. At the heart of the research described here is the inte gration of three methodologies: phenomenological analysis of observations; "universal" models of complex systems such as those considered in statistical physics and nonlinear dynamics; and Earth-specific models of tectonic fault networks. In addition, the theory of optimal control is used to link earthquake prediction with earthquake preparedness.

目次

1 Fundamentals of Earthquake Prediction: Four Paradigms.- 2 Hierarchical Models of Seismicity.- 3 Models of Dynamics of Block-and-Fault Systems.- 4 Earthquake Prediction.- 5 Earthquake Prediction Strategies: A Theoretical Analysis.- 6 Recognition of Earthquake-Prone Areas.- References.

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