Probabilistic Tsunami Hazard and Risk Analysis
Towards Disaster Risk Reduction and Resilience
- 1st Edition - October 24, 2024
- Editors: Katsuichiro Goda, Raffaele De Risi, Aditya Riadi Gusman, Ioan Nistor
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 1 8 9 8 7 - 6
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 1 8 9 8 8 - 3
Probabilistic Tsunami Hazard and Risk Analysis: Towards Disaster Risk Reduction and Resilience covers recent calls for advances in quantitative tsunami hazard and risk analyses… Read more
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Request a sales quoteProbabilistic Tsunami Hazard and Risk Analysis: Towards Disaster Risk Reduction and Resilience covers recent calls for advances in quantitative tsunami hazard and risk analyses for the synthesis of broad knowledge basis and solid understanding of interdisciplinary fields, spanning seismology, tsunami science, and coastal engineering. These new approaches are essential for enhanced disaster resilience of society under multiple hazards and changing climate as tsunamis can cause catastrophic loss to coastal cities and communities globally.
This is a low-probability high-consequence event, and it is not easy to develop effective disaster risk reduction measures. In particular, uncertainties associated with tsunami hazards and risks are large. The knowledge and skills for quantitative probabilistic tsunami hazard and risk assessments are in high demand and are required in various related fields, including disaster risk management (governments and local communities), and the insurance and reinsurance industry (catastrophe model).
- Focuses on fundamentals on probabilistic tsunami hazard and risk analysis
- Includes case studies covering a wide range of applications related to tsunami hazard and risk assessments
- Covers tsunami disaster risk management
Professors, researchers and students at post grad level and above in the field of Earth scientists, engineers, geographers, workers in risk management, finance, economics, and data science, engineers, Upper undergraduate students, graduate students
- Title of Book
- Cover image
- Title page
- Table of Contents
- Copyright
- List of contributors
- Preface
- Chapter 1. Introduction of probabilistic tsunami hazard and risk analysis—toward disaster risk reduction and resilience
- Abstract
- 1.1 Introduction
- 1.2 Historical events and lessons learned
- 1.3 Tsunami hazard and risk assessments
- 1.4 Tsunami disaster risk reduction and management
- 1.5 Scope and aims of the book
- References
- Section 1: Fundamentals of probabilistic tsunami hazard and risk analysis
- Chapter 2. Tsunami generation
- Abstract
- 2.1 Introduction
- 2.2 Seismotectonic characteristics of active seismic regions
- 2.3 Earthquake occurrence
- 2.4 Earthquake rupture model
- 2.5 Source modeling for tsunamigenic earthquakes
- 2.6 Nonseismic sources of tsunamis
- 2.7 Research needs
- References
- Chapter 3. Tsunami propagation and runup modeling
- Abstract
- 3.1 Introduction
- 3.2 Tsunami characteristics
- 3.3 Tsunami propagation and inundation modeling
- 3.4 Numerical method
- 3.5 Tsunami simulations
- 3.6 Research needs
- References
- Chapter 4. Tsunami effects on built environment
- Abstract
- 4.1 Introduction
- 4.2 Existing design guidelines, standards, and codes
- 4.3 Tsunami-induced loads and effects
- 4.4 Differences in tsunami-induced loads between American and Japanese design codes
- 4.5 Tsunami structural vulnerability assessment
- 4.6 Research needs
- References
- Chapter 5. Probabilistic tsunami hazard and risk assessments
- Abstract
- 5.1 Introduction
- 5.2 Overview of tsunami hazard and risk assessment
- 5.3 Probabilistic seismic tsunami hazard analysis
- 5.4 Probabilistic seismic tsunami risk analysis
- 5.5 Extension to multihazard risks
- 5.6 Research needs
- References
- Chapter 6. Tsunami disaster risk reduction and management
- Abstract
- 6.1 Introduction
- 6.2 Tsunami hazard–risk mapping for disaster preparedness planning
- 6.3 Emergency response
- 6.4 Tsunami risk financing
- 6.5 Research needs
- References
- Section 2: Advanced topics and applications related to probabilistic tsunami hazard and risk analysis
- Chapter 7. Historical tsunami records and paleotsunamis
- Abstract
- 7.1 Introduction
- 7.2 Tsunami waveforms recorded on instruments
- 7.3 Source models of the 2011 Tohoku Earthquake based on the inversion of tsunami data
- 7.4 Field surveys to measure tsunami heights
- 7.5 Historical data
- 7.6 Geological data
- 7.7 Conclusions
- References
- Chapter 8. Informing megathrust tsunami source models with knowledge of tectonics and fault mechanics
- Abstract
- 8.1 Introduction
- 8.2 Subduction megathrust and tsunamigenic earthquakes
- 8.3 Slip distribution in predictive source scenarios
- 8.4 Concluding remarks
- References
- Chapter 9. Tsunamis triggered by splay faulting
- Abstract
- 9.1 Introduction
- 9.2 Tectonic background
- 9.3 Seismic expression of offshore splay faults
- 9.4 Splay fault and tsunami generation
- 9.5 Numerical example
- 9.6 Discussions
- 9.7 Conclusions
- References
- Chapter 10. Tsunami hazard from subaerial landslides
- Abstract
- 10.1 Introduction
- 10.2 Method for subaerial landslide probabilistic hazard analysis
- 10.3 Results—model calibration for constraining uncertainty analysis
- 10.4 Discussion—implications for future methods
- 10.5 Conclusions
- References
- Chapter 11. Dense tsunami monitoring system
- Abstract
- 11.1 Introduction
- 11.2 Accurate earthquake source estimation
- 11.3 Data assimilation
- 11.4 Tsunami early warning
- 11.5 Observed tsunamis from other sources
- 11.6 Summary
- References
- Chapter 12. Machine learning approaches for tsunami early warning
- Abstract
- 12.1 Introduction
- 12.2 Theoretical framework
- 12.3 Existing studies
- 12.4 Advantages, limitations, and future direction
- References
- Chapter 13. Global tsunami hazards and risks
- Abstract
- 13.1 Introduction
- 13.2 Short-term hazard assessment
- 13.3 Long-term hazard assessment
- 13.4 Conclusions
- References
- Chapter 14. Probabilistic tsunami hazard assessment for New Zealand
- Abstract
- 14.1 Introduction
- 14.2 Overview of statistical modeling approach
- 14.3 Earthquake source models
- 14.4 Tsunami numerical simulation
- 14.5 Tsunami height estimation
- 14.6 Tsunami hazard model results
- 14.7 Conclusions
- Acknowledgments
- References
- Chapter 15. Tsunami hazard and risk in the Mediterranean Sea
- Abstract
- 15.1 Introduction
- 15.2 Regional tsunami hazard
- 15.3 Multisource probabilistic tsunami hazard analysis in the Gulf of Naples
- 15.4 Regional tsunami risk index
- 15.5 Discussion and final remarks
- References
- Chapter 16. Tsunami hazard assessment in Chile
- Abstract
- 16.1 Introduction
- 16.2 Tsunami occurrence in Chile
- 16.3 Tsunami hazard assessments in Chile
- 16.4 Discussion
- 16.5 Conclusions and perspectives
- References
- Chapter 17. Uncertainty in empirical tsunami fragility curves
- Abstract
- 17.1 Introduction
- 17.2 Definitions and limitations of empirical fragility curves
- 17.3 Methods for empirical tsunami fragility assessment
- 17.4 Conclusions
- References
- Chapter 18. Analytical tsunami fragility curves
- Abstract
- 18.1 Introduction
- 18.2 Tsunami actions on buildings
- 18.3 Tsunami structural assessment approaches
- 18.4 Structural modeling for tsunami analysis
- 18.5 Tsunami damage assessment
- 18.6 Development of analytical fragility curves
- 18.7 Conclusions
- References
- Chapter 19. Modeling and uncertainty in probabilistic tsunami hazard and risk assessment
- Abstract
- 19.1 Introduction
- 19.2 Uncertainty classification
- 19.3 Uncertainty propagation
- 19.4 Summary and conclusions
- References
- Chapter 20. Multihazard risk assessments
- Abstract
- 20.1 Introduction
- 20.2 Multihazards, damage, and risk assessments at Seaside, Oregon
- 20.3 Conclusions
- References
- Chapter 21. Dynamic agent-based evacuation
- Abstract
- 21.1 Introduction
- 21.2 Literature review on agent-based tsunami evacuation simulations
- 21.3 Development of an agent-based tsunami evacuation simulation model
- 21.4 Application of an agent-based tsunami evacuation simulation model
- 21.5 Conclusions
- References
- Chapter 22. Sea-level rise and tsunami risk
- Abstract
- 22.1 Introduction
- 22.2 Methodology
- 22.3 Simulation results
- 22.4 Discussion
- 22.5 Conclusions
- References
- Chapter 23. Long-term tsunami risk considering time-dependent earthquake hazard and nonstationary sea-level rise
- Abstract
- 23.1 Introduction
- 23.2 Tofino and physical environment
- 23.3 Long-term probabilistic tsunami risk model for Tofino
- 23.4 Long-term tsunami risk assessment for Tofino
- 23.5 Conclusions
- References
- Chapter 24. Digital twin paradigm for coastal disaster risk reduction and resilience
- Abstract
- 24.1 Introduction
- 24.2 Concept of coastal digital twin
- 24.3 Tsunami disaster digital twin in Japan
- 24.4 Towards establishing coastal digital twin paradigm
- 24.5 Summary and future challenges
- References
- Appendix
- A.1 Chapter 2
- A.2 Chapter 3
- A.3 Chapter 5
- Index
- No. of pages: 598
- Language: English
- Edition: 1
- Published: October 24, 2024
- Imprint: Elsevier
- Paperback ISBN: 9780443189876
- eBook ISBN: 9780443189883
KG
Katsuichiro Goda
Dr. Katsuichiro Goda is an Associate Professor in the Departments of Earth Sciences and Statistical & Actuarial Sciences and Canada Research Chair in Multi-Hazard Risk Assessment at Western University, Canada. His research focuses on catastrophic multi-hazard risk management from economic and societal viewpoints. He has extensive expertise in developing natural catastrophe models, applying them to insurance risk quantification, and evaluating communities' socioeconomic vulnerability.
Affiliations and expertise
Associate Professor, Departments of Earth Sciences and Statistical and Actuarial Sciences and Canada Research Chair in Multi-Hazard Risk Assessment, Western University, CanadaRD
Raffaele De Risi
Dr. Raffaele De Risi is a is a Associate Professor in the School of Civil, Aerospace and Design Engineering at Bristol University, United Kingdom. His research interests are broad and multidisciplinary and cover a wide range of academic fields, including structural reliability, engineering seismology, earthquake engineering, tsunami engineering, and decision-making under uncertainty. He has internationally recognized expertise in developing probabilistic tools for managing risks caused by extreme loads on the built environment.
Affiliations and expertise
Associate Professor in the School of Civil, Aerospace and Design Engineering at Bristol University, United Kingdom.AG
Aditya Riadi Gusman
Dr. Aditya Riadi Gusman is a Tsunami Scientist at the GNS Science, New Zealand. He has extensive experience in physical oceanography and the numerical modeling of tsunami generation processes, including those from seismic and non-seismic sources such as submarine landslides and volcanic eruptions. His expertise extends to advanced numerical methods, tsunami sediment transport modeling, and machine learning techniques related to real-time tsunami forecasting and tsunami early warning.
Affiliations and expertise
Tsunami Scientist at the GNS Science, New Zealand.IN
Ioan Nistor
Dr. Ioan Nistor is a Professor of Hydraulic and Coastal Engineering in the Department of Civil Engineering at the University of Ottawa, Canada. He is a coastal and hydraulic engineer researching hazards associated with extreme hydrodynamic and debris loading on infrastructure. His research expertise broadly spans from tsunami impact on infrastructure, extreme wave and flood forces on structures, and dam failure phenomena.
Affiliations and expertise
Professor of Hydraulic and Coastal Engineering, Department of Civil Engineering, University of Ottawa, CanadaRead Probabilistic Tsunami Hazard and Risk Analysis on ScienceDirect