Probabilistic Tsunami Hazard and Risk Analysis: Towards Disaster Risk Reduction and Resilience - Brossura

Brossura

ISBN 10: 0443189870 ISBN 13: 9780443189876

Casa editrice: Elsevier Science Ltd, 2024

Riassunto

Probabilistic 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).

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Informazioni sugli autori

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.

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.

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.

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.

Dalla quarta di copertina

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).

Dettagli dell'edizione

• Editore: Elsevier Science Ltd
• Data di pubblicazione: 2024
• Lingua: Inglese
• ISBN 10: 0443189870
• ISBN 13: 9780443189876
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 581
• Redattore: Goda Katsuichiro, De Risi Raffaele, Gusman Aditya, Nistor Ioan
• Contatto del produttore: ELSEVIER; https://www.elsevier.com/es-es; ; Mooswaldallee 6; Freiburg; 79108; Germania