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Springer Series in Synergetics

Springer Series in Synergetics

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Springer Series in Synergetics

Keilis-Borok, Vladimir; Soloviev, Alexandre A.

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.

Details

Published by: Springer

Publication Date: 2010-12-09

Format: Paperback

ISBN-13: 9783642078064

DOI: 10.1007/978-3-662-05298-3

Dimensions: 235cm x155cm

Pages: 337

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