Numerical modeling of the morphological change in Lhok Nga, west Banda Aceh, during the 2004 Indian Ocean tsunami : understanding tsunami deposits using a forward modeling method

A coupled hydrostatic and morph-dynamic model COMCOT-SED was used to investigate the morphological change in Lhok Nga bay during the 2004 Indian Ocean tsunami, and the coupled model predicted the thickness of tsunami deposits in agreement with the measured ones. The relationship between the characte...

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Main Authors: Li, Linlin, Qiu, Qiang, Huang, Zhenhua
Other Authors: School of Civil and Environmental Engineering
Format: Article
Language:English
Published: 2013
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Online Access:https://hdl.handle.net/10356/96212
http://hdl.handle.net/10220/16233
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Institution: Nanyang Technological University
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spelling sg-ntu-dr.10356-962122020-09-26T21:38:00Z Numerical modeling of the morphological change in Lhok Nga, west Banda Aceh, during the 2004 Indian Ocean tsunami : understanding tsunami deposits using a forward modeling method Li, Linlin Qiu, Qiang Huang, Zhenhua School of Civil and Environmental Engineering Earth Observatory of Singapore DRNTU::Engineering::Civil engineering DRNTU::Engineering::Environmental engineering A coupled hydrostatic and morph-dynamic model COMCOT-SED was used to investigate the morphological change in Lhok Nga bay during the 2004 Indian Ocean tsunami, and the coupled model predicted the thickness of tsunami deposits in agreement with the measured ones. The relationship between the characteristics of tsunami deposit and flow hydrodynamics was discussed in details. Phenomena such as landward thinning in deposit thickness, landward fining in grain size, and fining upwards in grain size are commonly used to identify tsunami deposits and were examined in this case study. We also discussed the effects of sediment supplies and the constraints that can be put on the earthquake parameters using the information derived from tsunami deposits. This study shows that the model presented in this paper is capable of simulating extreme tsunami events (tsunami wave height ~30 m) in a large domain and that forward models of tsunami sediment transport can be a promising tool to help tsunami geologists understand tsunami deposits. Accepted version 2013-10-03T04:12:20Z 2019-12-06T19:27:17Z 2013-10-03T04:12:20Z 2019-12-06T19:27:17Z 2012 2012 Journal Article Li, L., Qiu, Q., & Huang, Z. (2012). Numerical modeling of the morphological change in Lhok Nga, west Banda Aceh, during the 2004 Indian Ocean tsunami : understanding tsunami deposits using a forward modeling method. Natural hazards, 64(2), 1549-1574. https://hdl.handle.net/10356/96212 http://hdl.handle.net/10220/16233 10.1007/s11069-012-0325-z en Natural hazards © 2012 Springer Science+Business Media B.V. This is the author created version of a work that has been peer reviewed and accepted for publication by Natural Hazards, Springer Science+Business Media B.V. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1007/s11069-012-0325-z]. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Engineering::Civil engineering
DRNTU::Engineering::Environmental engineering
spellingShingle DRNTU::Engineering::Civil engineering
DRNTU::Engineering::Environmental engineering
Li, Linlin
Qiu, Qiang
Huang, Zhenhua
Numerical modeling of the morphological change in Lhok Nga, west Banda Aceh, during the 2004 Indian Ocean tsunami : understanding tsunami deposits using a forward modeling method
description A coupled hydrostatic and morph-dynamic model COMCOT-SED was used to investigate the morphological change in Lhok Nga bay during the 2004 Indian Ocean tsunami, and the coupled model predicted the thickness of tsunami deposits in agreement with the measured ones. The relationship between the characteristics of tsunami deposit and flow hydrodynamics was discussed in details. Phenomena such as landward thinning in deposit thickness, landward fining in grain size, and fining upwards in grain size are commonly used to identify tsunami deposits and were examined in this case study. We also discussed the effects of sediment supplies and the constraints that can be put on the earthquake parameters using the information derived from tsunami deposits. This study shows that the model presented in this paper is capable of simulating extreme tsunami events (tsunami wave height ~30 m) in a large domain and that forward models of tsunami sediment transport can be a promising tool to help tsunami geologists understand tsunami deposits.
author2 School of Civil and Environmental Engineering
author_facet School of Civil and Environmental Engineering
Li, Linlin
Qiu, Qiang
Huang, Zhenhua
format Article
author Li, Linlin
Qiu, Qiang
Huang, Zhenhua
author_sort Li, Linlin
title Numerical modeling of the morphological change in Lhok Nga, west Banda Aceh, during the 2004 Indian Ocean tsunami : understanding tsunami deposits using a forward modeling method
title_short Numerical modeling of the morphological change in Lhok Nga, west Banda Aceh, during the 2004 Indian Ocean tsunami : understanding tsunami deposits using a forward modeling method
title_full Numerical modeling of the morphological change in Lhok Nga, west Banda Aceh, during the 2004 Indian Ocean tsunami : understanding tsunami deposits using a forward modeling method
title_fullStr Numerical modeling of the morphological change in Lhok Nga, west Banda Aceh, during the 2004 Indian Ocean tsunami : understanding tsunami deposits using a forward modeling method
title_full_unstemmed Numerical modeling of the morphological change in Lhok Nga, west Banda Aceh, during the 2004 Indian Ocean tsunami : understanding tsunami deposits using a forward modeling method
title_sort numerical modeling of the morphological change in lhok nga, west banda aceh, during the 2004 indian ocean tsunami : understanding tsunami deposits using a forward modeling method
publishDate 2013
url https://hdl.handle.net/10356/96212
http://hdl.handle.net/10220/16233
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