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Springer Theses

By: Yuchen Wang

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Hardcover | 27 October 2022

At a Glance

Hardcover
116 Pages

Dimensions(cm)
23.5 x 15.5 x 0.79

Hardcover

$249.00

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Chapter 1 Introduction

1.1 Tsunami Early Warning

1.2 Numerical Modeling of Tsunami Propagation

1.3 Tsunami Data Assimilation Approach

1.4 Network of Offshore Bottom Pressure Gauges

1.5 Real-time Tsunami Detection

1.6 Objectives

Chapter 2 Green's Function-based Tsunami Data Assimilation (GFTDA)

2.1 Principles of GFTDA

2.2 Assimilation Process and Mathematical Equivalence

2.3 Validation Test-2012 Haida Gwaii Earthquake

2.4 Adoption of Linear Dispersive Model-2004 off the Kii Peninsula Earthquake

2.5 Application to Real-time Data-2015 Torishima Volcanic Tsunami Earthquake

2.6 Discussion

Chapter 3 Tsunami Data Assimilation with Interpolated Virtual Stations

3.1 Linear Interpolation with Huygens-Fresnel Principle

3.2 Test with Synthetic Data-2004 Sumatra-Andaman Earthquake

3.3 Test with Real Data-2009 Dusky Sound Earthquake

3.4 Application to Far-field Event-2015 Illapel Earthquake

3.5 Discussion

Chapter 4 Real-Time Tsunami Detection based on Ensemble Empirical Mode Decomposition (EEMD)

4.1 EEMD

4.2 Validation Test-2016 Fukushima Earthquake

4.3 Discussion

Chapter 5 Real-time Tsunami Data Assimilation of S-net Pressure Gauge Records during the 2016 Fukushima Earthquake

5.1 Introduction

5.2 Data and Methods

5.3 Results

5.4 Discussion

Chapter 6 Tsunami Early Warning System Using Data Assimilation of Offshore Data

6.1 Practical Implementation

6.2 Future Improvements

Chapter 7 Summary

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You Can Find This Book In

Non-Fiction Earth Sciences, Geography, Environment, Planning The Environment Natural Disasters Science Physics Applied Physics Geophysics Earth Sciences Volcanology Seismology

Springer Theses

At a Glance

Hardcover

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How to return your order

Defective items

You Can Find This Book In

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