Encyclopedia of Complexity and Systems Science

Living Edition
| Editors: Robert A. Meyers

Tsunami Hazard and Risk Assessment on the Global Scale

  • F. Løvholt
  • J. Griffin
  • M.A. Salgado-Gálvez
Living reference work entry
DOI: https://doi.org/10.1007/978-3-642-27737-5_642-1

Definition of Subject

Tsunamis are infrequent events with the power to cause massive loss of life, large economic losses, and cascading effects such as destruction of critical facilities. The recurrence of truly disastrous tsunamis at any location may range from hundreds to even thousands of years. To manage the risk from these events, scientists use hazard and risk assessment to better understand the threat. Hazard assessment typically involves quantifying the temporal probability of a tsunami metric (e.g., run-up height at a coastal location) being exceeded within a given time frame. Risk assessment quantifies the probability of damage and loss to exposed assets and population by integrating the results of the hazard assessment with the vulnerability of the exposed elements to the given tsunami metric. Tsunami hazard and risk analysis cannot exploit observational data as extensively as more frequent hazards. Instead, numerical models are used to quantify the magnitude and frequency...


Return Period Flow Depth Fragility Curve Vulnerability Function Tsunami Height 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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A large group of scientists have worked on the global tsunami hazard and risk assessment. For this, we would like to thank our co-workers at Geoscience Australia, NGI, and CIMNE: Gareth Davies, Sylfest Glimsdal, Carl Harbitz, Helge Smebye, Farrokh Nadim, Omar Darío Cardona, and Gabriel A. Bernal. In addition we have received considerable support from collaborating organizations. For this we thank Andrea de Bono at UNEP/GRID Geneva for providing us the exposure dataset and for refining them for use in coastal regions, Stefano Lorito, Roberto Basili, and Jacopo Selva at INGV for providing source information for the Mediterranean, Maria Ana Baptista at IPMA for providing source information offshore Portugal, Eric Geist at USGS for providing source information for the Caribbean region, and Hong Kie Thio at AECOM for his assistance on the PTHA calculations. The authors are also indebted to Nick Horspool, formerly at Geoscience Australia, now at GNS, for his contribution to the earliest part of this work. We finally like to thank UN-ISDR, including Andrew Maskrey, Sahar Safaie, Manuela di Mauro, and Julio Serje, for their co-ordination work that made this possible, as well as for funding NGI's work leading to this paper. This paper is published with the permission of the CEO, Geoscience Australia.


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© Springer Science+Business Media New York 2015

Authors and Affiliations

  1. 1.Norwegian Geotechnical Institute (NGI)OsloNorway
  2. 2.Geoscience AustraliaCanberraAustralia
  3. 3.Centre Internacional de Metodes Numerics en Enginyeria (CIMNE)BarcelonaSpain