2007
DOI: 10.1029/2006jc003850
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Modeling the 26 December 2004 Indian Ocean tsunami: Case study of impact in Thailand

Abstract: [1] The devastating 26 December 2004 Indian Ocean tsunami stressed the need for assessing tsunami hazard in vulnerable coastal areas. Numerical modeling is but one important tool for understanding past tsunami events and simulating future ones. Here we present a robust simulation of the event, which explains the large runups and destruction observed in coastal Thailand and identifies areas vulnerable to future tsunamis, or safer for reconstruction. To do so, we use an accurate tsunami source, which was iterati… Show more

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Cited by 153 publications
(111 citation statements)
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“…Day et al, 2005;Greene et al, 2005;Ioualalen et al, 2007) suggest that maximum inundation and maximum runup may be caused at some locations by collisions (or interactions) of edge waves travelling in opposing directions along the shoreline Waythomas and Watts, 2003). Despite being present in our previous simulation results, edge wave interactions have received little attention in the context of tsunami hazards, specifically with regard to maximum runup.…”
Section: Edge Wavesmentioning
confidence: 54%
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“…Day et al, 2005;Greene et al, 2005;Ioualalen et al, 2007) suggest that maximum inundation and maximum runup may be caused at some locations by collisions (or interactions) of edge waves travelling in opposing directions along the shoreline Waythomas and Watts, 2003). Despite being present in our previous simulation results, edge wave interactions have received little attention in the context of tsunami hazards, specifically with regard to maximum runup.…”
Section: Edge Wavesmentioning
confidence: 54%
“…10d). A similar sensitivity analysis was carried out by Ioualalen et al (2007) With regard to the beach slope (in a 2-D vertical plane), NSW wave theory predicts that this is an important control on tsunami wave runup (e.g. Kanoglu and Synolakis, 1998).…”
Section: Grid Refinementmentioning
confidence: 99%
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