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Probabilistic Tsunami Hazard and Risk Analysis

- Towards Disaster Risk Reduction and Resilience

About Probabilistic Tsunami Hazard and Risk Analysis

Tsunamis can cause catastrophic loss to coastal cities and communities globally. It 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. Recent advances in quantitative tsunami hazard and risk analyses call for the synthesis of broad knowledge basis and solid understanding of interdisciplinary fields, spanning from seismology, tsunami science, and coastal engineering. These new approaches are essential for enhanced disaster resilience of society under multiple hazards and changing climate. 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 insurance and reinsurance industry (catastrophe model).

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  • Language:
  • English
  • ISBN:
  • 9780443189876
  • Binding:
  • Paperback
  • Published:
  • September 30, 2024
Delivery: 2-4 weeks
Expected delivery: December 19, 2024

Description of Probabilistic Tsunami Hazard and Risk Analysis

Tsunamis can cause catastrophic loss to coastal cities and communities globally. It 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. Recent advances in quantitative tsunami hazard and risk analyses call for the synthesis of broad knowledge basis and solid understanding of interdisciplinary fields, spanning from seismology, tsunami science, and coastal engineering. These new approaches are essential for enhanced disaster resilience of society under multiple hazards and changing climate. 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 insurance and reinsurance industry (catastrophe model).

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