2019
DOI: 10.5194/nhess-2019-263
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Investigating beach erosion related with its recovery at Phra Thong Island, Thailand caused by the 2004 Indian Ocean tsunami

Abstract: Abstract. The 2004 Indian Ocean Tsunami and the 2011 Great East Japan earthquake and tsunami caused large-scale topographic changes in coastal areas. Whereas much research has focused on coastlines that have or had large human populations, little focus has been paid on coastlines that have little or no infrastructure. The importance of examining erosional and depositional mechanisms of tsunami events lies in the rapid reorganisation that coastlines must undertake immediately after an event. Through understandi… Show more

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Cited by 3 publications
(5 citation statements)
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“…While the inverse analysis of tsunami deposits provides estimates of the flow characteristics in specific regions, two or three dimensional forward modeling is required to infer the spatial distribution of the flow parameters on a regional scale (Masaya et al, 2019;Li et al, 2012). The horizontal two dimensional forward model TUNAMI-N2 was applied to the Phra Thong island, to estimate the spatial distribution of the maximum flow depth in this area (Masaya et al, 2019). However, model appeared to have overestimated the maximum flow depth when compared with the measured values obtained by the KSCOE group (Choi et al, 2006), ), with the former returning a flow depth of 6-8 m and the latter returning a depth of 4.2-3.8 m.…”
Section: Comparison With the Results Of Existing 2d Forward Modelmentioning
confidence: 99%
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“…While the inverse analysis of tsunami deposits provides estimates of the flow characteristics in specific regions, two or three dimensional forward modeling is required to infer the spatial distribution of the flow parameters on a regional scale (Masaya et al, 2019;Li et al, 2012). The horizontal two dimensional forward model TUNAMI-N2 was applied to the Phra Thong island, to estimate the spatial distribution of the maximum flow depth in this area (Masaya et al, 2019). However, model appeared to have overestimated the maximum flow depth when compared with the measured values obtained by the KSCOE group (Choi et al, 2006), ), with the former returning a flow depth of 6-8 m and the latter returning a depth of 4.2-3.8 m.…”
Section: Comparison With the Results Of Existing 2d Forward Modelmentioning
confidence: 99%
“…The model's results strongly depend on these fault parameters which should be iteratively modified to fit the measurement or distribution of the actual tsunami deposits. Moreover, the model of Masaya et al (2019) employed single grainsize class for the reconstruction of the parameters from a larger area, which could have resulted in an erroneous estimation as the distribution of grain-size of tsunami deposits varies due to sediment transportation and deposition (Sugawara et al, 2014).…”
Section: Comparison With the Results Of Existing 2d Forward Modelmentioning
confidence: 99%
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