| 书目名称 | Global Seismicity Dynamics and Data-Driven Science |
| 副标题 | Seismicity Modelling |
| 编辑 | Mitsuhiro Toriumi |
| 视频video | |
| 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 |
| 丛书名称 | Advances in Geological Science |
| 图书封面 |  |
| 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 |
| 关键词 | Global and regional seismicity; Big data science; Correlated seismicity time series; Stochastic dynamic |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-15-5109-3 |
| isbn_softcover | 978-981-15-5111-6 |
| isbn_ebook | 978-981-15-5109-3Series ISSN 2524-3829 Series E-ISSN 2524-3837 |
| issn_series | 2524-3829 |
| copyright | Springer Nature Singapore Pte Ltd. 2021 |
发表于 2025-3-21 17:42:07
