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Inundation modelling of the December 2004 Indian ocean tsunami

dc.contributor.authorJakeman, J. D.en
dc.contributor.authorBartzis, N.en
dc.contributor.authorNielsen, O.en
dc.contributor.authorRoberts, S.en
dc.date.accessioned2026-01-01T12:41:58Z
dc.date.available2026-01-01T12:41:58Z
dc.date.issued2007en
dc.description.abstractGeoscience Australia, in an open collaboration with the Mathematical Sciences Institute, The Australian National University, is developing a software application, ANUGA, to model the hydrodynamics of floods, storm surges and tsunamis. The free source software implements a finite volume centralupwind Godunov method to solve the non-linear depth-averaged shallow water wave equations. In light of the renewed interest in tsunami forecasting and mitigation, this paper explores the use of ANUGA to model the inundation of the Indian Ocean tsunami of December 2004. The Method of Splitting Tsunamis (MOST) was used to simulate the initial tsunami source and the tsunami's propagation at depths greater than 100m. The resulting output was used to provide boundary conditions to the ANUGA model in the shallow water. Data with respect to 4-minute bathymetry, 2-minute bathymetry, 3-arc second bathymetry and elevation were used in the open ocean, shallow water and on land, respectively. A particular aim was to make use of the comparatively large amount of observed data corresponding to this event, including tide gauges and run-up heights, to provide a conditional assessment of the computational model's performance. Specifically we compared model tsunami depth with data collected at two tide gauges and 18 coastal run-up measurements.en
dc.description.sponsorshipThis project was undertaken at the Department of Mathematics, The Australian National University, with collaboration and financial assistance from Geoscience Australia. The authors would like to thank Diana Greenslade and the Bureau of Meteorology for conducting numerical simulations with the MOST model used to estimate the initial tsunami source. David Burbidge is also acknowledged for his help in formatting the MOST data sets. Finally we would like to thank Vasily Titov and the National Oceanic and Atmospheric Administration (NOAA) for providing bathymetry and topographic data sets.en
dc.description.statusPeer-revieweden
dc.format.extent7en
dc.identifier.isbn9780975840047en
dc.identifier.otherORCID:/0000-0002-6730-3108/work/162947084en
dc.identifier.scopus80052922543en
dc.identifier.urihttps://hdl.handle.net/1885/733800367
dc.language.isoenen
dc.relation.ispartofMODSIM07 - Land, Water and Environmental Management: Integrated Systems for Sustainability, Proceedingsen
dc.relation.ispartofseriesInternational Congress on Modelling and Simulation - Land, Water and Environmental Management: Integrated Systems for Sustainability, MODSIM07en
dc.relation.ispartofseriesMODSIM07 - Land, Water and Environmental Management: Integrated Systems for Sustainability, Proceedingsen
dc.subjectANUGAen
dc.subjectFinite volume methoden
dc.subjectIndian ocean tsunamien
dc.subjectInundationen
dc.subjectNatural hazardsen
dc.titleInundation modelling of the December 2004 Indian ocean tsunamien
dc.typeConference paperen
dspace.entity.typePublicationen
local.bibliographicCitation.lastpage1673en
local.bibliographicCitation.startpage1667en
local.contributor.affiliationJakeman, J. D.; The Australian National Universityen
local.contributor.affiliationBartzis, N.; Geoscience Australiaen
local.contributor.affiliationNielsen, O.; Geoscience Australiaen
local.contributor.affiliationRoberts, S.; Mathematical Sciences Institute Research, Mathematical Sciences Institute, ANU College of Systems and Society, The Australian National Universityen
local.identifier.pure4ad29313-fae4-48c3-a7d9-8617449ef92aen
local.identifier.urlhttps://www.scopus.com/pages/publications/80052922543en
local.type.statusPublisheden

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