Tsunamis: stochastic models of occurrence and generation mechanisms

UC Riverside
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Abstract

The devastating consequences of the 2004 Indian Ocean and 2011 Japan tsunamis have led to increased research into many different aspects of the tsunami phenomenon. In this entry, we review research related to the observed complexity and uncertainty associated with tsunami generation, propagation, and occurrence described and analyzed using a variety of stochastic methods. In each case, seismogenic tsunamis are primarily considered. Stochastic models are developed from the physical theories that govern tsunami evolution combined with empirical models fitted to seismic and tsunami observations, as well as tsunami catalogs. These stochastic methods are key to providing probabilistic forecasts and hazard assessments for tsunamis. The stochastic methods described here are similar to those described for earthquakes (Vere-Jones 2013) and volcanoes (Bebbington 2013) in this encyclopedia.

Additional publication details

Publication type Book chapter
Publication Subtype Book Chapter
Title Tsunamis: stochastic models of occurrence and generation mechanisms
DOI 10.1007/978-3-642-27737-5_595-1
Year Published 2014
Language English
Publisher Springer New York
Contributing office(s) Pacific Coastal and Marine Science Center
Description 29 p.
Larger Work Type Book
Larger Work Subtype Monograph
Larger Work Title Encyclopedia of complexity and systems science
First page 1
Last page 29
Online Only (Y/N) N
Additional Online Files (Y/N) N