Complexity of Seismic Time Series applies the tools of nonlinear dynamics to seismic analysis, allowing for the revelation of new details in micro-seismicity, new perspectives in seismic noise, and new tools for prediction of seismic events. Time series of Earth vibrations consist of several components, especially permanent ambient seismic noise, transient signals from seismic events and some cyclic (e.g. seasonal) terms, which are used in geophysical exploration, engineering seismology, seismic hazard assessment, and the creation of synthetic earthquake catalogs, among other applications.
Complexity of Seismic Time Series summarizes the advances in the field and the applications, meeting the needs of both fundamental and practical seismology. Merging the needs of the classical field and the very modern terms of complexity science, this book covers theory and its application to advanced nonlinear time series tools to investigate Earth's vibrations, making it a valuable tool for seismologists, as well as hazard managers and engineers.
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