Global Seismicity Dynamics and Data-Driven Science Seismicity Modelling by Big Data Analytics
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 featu...
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| Format: | eBook |
| Language: | English |
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Singapore
Springer Nature Singapore
2021, 2021
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| Edition: | 1st ed. 2021 |
| Series: | Advances in Geological Science
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- - Introduction
- Nature of Earthquakes in the Solid Earth
- Global Seismicity of the Solid Earth
- Data – Driven Sciences for Geosciences
- Data-Driven Science of Seismicity
- Down Scaling Seismicity of Japanese Regions
- Correlated Seismicity of the Northern California Region
- Model of Seismicity Dynamics from Data-Driven Science
- Seismicity Dynamics Model of Global Earth and Japanese Island Region
- Predictive Modeling of Global and Regional Seismicity Rates
- Future Problems of Prediction of Giant Plate Boundary Earthquakes
- Application of Recurrent Neural Network (RNN) Modeling for Global Seismicity Dynamics
- Comments on Databases and Software Used in This Book