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Titlebook: Tsunami Generation and Propagation; Tatsuhiko Saito Book 2019 Springer Japan KK, part of Springer Nature 2019 Disaster Warning.Early Warni

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书目名称Tsunami Generation and Propagation
编辑Tatsuhiko Saito
视频video
概述Describes a theoretical framework of tsunami generation for the new type of observation after the Tohoku-Oki earthquake.Provides fundamental viewpoints for comparative wave theory of tsunami and seism
丛书名称Springer Geophysics
图书封面Titlebook: Tsunami Generation and Propagation;  Tatsuhiko Saito Book 2019 Springer Japan KK, part of Springer Nature 2019 Disaster Warning.Early Warni
描述.This book introduces a framework of tsunami modelling from generation to propagation, aimed at application to the new observation started in Japan after the devastating tsunami of the 2011 Tohoku-Oki earthquake. About 150 seismic and tsunami sensors were deployed in a wide region off the Pacific coast of eastern Japan in order to catch tsunami generation inside the focal area, which makes a clear departure from conventional observations that detect tsunamis far from the source region. In order to exploit the full potential of this new observation system, it is not enough to model tsunami generation simply by static sea-bottom deformation caused by an earthquake. This book explains dynamic tsunami generation and sea-bottom deformation by kinematic earthquake faulting, in which seismic and acoustic waves are also included in addition to static sea-bottom deformation. It then systematically derives basic tsunami equations from the fundamental equations of motions. The author also illustrates the details of numerical schemes and their applications to tsunami records, making sound linkages among these topics to naturally understand how a tsunami is physically or mathematically describe
出版日期Book 2019
关键词Disaster Warning; Early Warning; Mathematical Modelling; Numerical Simulation of Tsunami; Ocean Wave; Sei
版次1
doihttps://doi.org/10.1007/978-4-431-56850-6
isbn_ebook978-4-431-56850-6Series ISSN 2364-9119 Series E-ISSN 2364-9127
issn_series 2364-9119
copyrightSpringer Japan KK, part of Springer Nature 2019
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