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Titlebook: Global Seismicity Dynamics and Data-Driven Science; Seismicity Modelling Mitsuhiro Toriumi Book 2021 Springer Nature Singapore Pte Ltd. 202

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發(fā)表于 2025-3-21 17:42:07 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Global Seismicity Dynamics and Data-Driven Science
副標題Seismicity Modelling
編輯Mitsuhiro Toriumi
視頻videohttp://file.papertrans.cn/387/386577/386577.mp4
概述Presents detailed explanations of step-by-step descriptions of data handling from international earthquakes database.Describes proposed stochastic dynamic equations controlling globally and regionally
叢書名稱Advances in Geological Science
圖書封面Titlebook: Global Seismicity Dynamics and Data-Driven Science; Seismicity Modelling Mitsuhiro Toriumi Book 2021 Springer Nature Singapore Pte Ltd. 202
描述The recent explosion of global and regional seismicity data in the world requires new methods of investigation of microseismicity and development of their modelling to understand the nature of whole earth mechanics. In this book, the author proposes a powerful tool to reveal the characteristic features of global and regional microseismicity big data accumulated in the databases of the world. The method proposed in this monograph is based on (1) transformation of stored big data to seismicity density data archives, (2) linear transformation of microseismicity density data matrixes to correlated seismicity matrixes by means of the singular value decomposition method, (3) time series analyses of globally and regionally correlated seismicity rates, and (4) the minimal non-linear equations approximation of their correlated seismicity rate dynamics. Minimal non-linear modelling is the manifestation for strongly correlated seismicity time series controlled by Langevin-type stochastic dynamicequations involving deterministic terms and random Gaussian noises. A deterministic term is composed minimally with correlated seismicity rate vectors of a linear term and of a term with a third expone
出版日期Book 2021
關(guān)鍵詞Global and regional seismicity; Big data science; Correlated seismicity time series; Stochastic dynamic
版次1
doihttps://doi.org/10.1007/978-981-15-5109-3
isbn_softcover978-981-15-5111-6
isbn_ebook978-981-15-5109-3Series ISSN 2524-3829 Series E-ISSN 2524-3837
issn_series 2524-3829
copyrightSpringer Nature Singapore Pte Ltd. 2021
The information of publication is updating

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發(fā)表于 2025-3-22 00:06:13 | 只看該作者
Seismicity Dynamics Model of Global Earth and Japanese Islands Region,on of several components of the correlated seismicity rates. On the other hand, the nonlinear case is rather complicated as the minimal nonlinear differential equations such as bi-state bifurcation model.
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2524-3829 hastic dynamic equations controlling globally and regionallyThe recent explosion of global and regional seismicity data in the world requires new methods of investigation of microseismicity and development of their modelling to understand the nature of whole earth mechanics. In this book, the author
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Book 2021ation for strongly correlated seismicity time series controlled by Langevin-type stochastic dynamicequations involving deterministic terms and random Gaussian noises. A deterministic term is composed minimally with correlated seismicity rate vectors of a linear term and of a term with a third expone
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