Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/18005
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Salmanidou, DM | - |
dc.contributor.author | Heidarzadeh, M | - |
dc.contributor.author | Guillas, S | - |
dc.date.accessioned | 2019-05-03T15:16:49Z | - |
dc.date.available | 2019-05-03T15:16:49Z | - |
dc.date.issued | 2019-04-16 | - |
dc.identifier.citation | Salmanidou, D.M,, Heidarzadeh, M. and Guillas, S. (2019) 'Probabilistic Landslide-Generated Tsunamis in the Indus Canyon, NW Indian Ocean, Using Statistical Emulation', Pure and Applied Geophysics, 176, pp. 3099 - 3114. doi: 10.1007/s00024-019-02187-3. | en_US |
dc.identifier.issn | 0033-4553 | - |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/18005 | - |
dc.description.abstract | Copyright © The Author(s) 2019. The Indus Canyon in the northwestern Indian Ocean has been reported to be the site of numerous submarine mass failures in the past. This study is the first to investigate potential tsunami hazards associated with such mass failures in this region. We employed statistical emulation, i.e. surrogate modelling, to efficiently quantify uncertainties associated with slump-generated tsunamis at the slopes of the canyon. We simulated 60 slump scenarios with thickness of 100–300 m, width of 6–10.5 km, travel distances of 500–2000 m and submergence depth of 250–450 m. These scenarios were then used to train the emulator and predict 500,000 trial scenarios in order to study probabilistically the tsunami hazard over the near field. Due to narrow–deep canyon walls and the shallow continental shelf in the adjacent regions (<100 m water depth), the tsunami propagation has a unique pattern as an ellipse stretched in the NE–SW direction. The results show that the most likely tsunami amplitudes and velocities are approximately 0.2–1.0 m and 2.5–13 m/s, respectively, which can potentially impact vessels and maritime facilities. We demonstrate that the emulator-based approach is an important tool for probabilistic hazard analysis since it can generate thousands of tsunami scenarios in few seconds, compared to days of computations on High Performance Computing facilities for a single run of the dispersive tsunami solver that we use here. | en_US |
dc.description.sponsorship | EPSRC (EP/P016774/1) network M2D (Models-to-Decisions): Decision making under uncertainty, and the EPSRC Impact Acceleration Account Grant (EP/R51163811); NERC project (NE/P016367/1) “Tsunami risk for the Western Indian Ocean: steps toward the integration of science into policy and practice” under the Global Challenges Research Fund: Building Resilience programme; Alan Turing Institute project “Uncertainty Quantification of multi-scale and multiphysics computer models: applications to hazard and climate models”; | en_US |
dc.format.extent | 3099 - 3114 | - |
dc.format.medium | Print-Electronic | - |
dc.language.iso | en | en_US |
dc.publisher | Springer Verlag | en_US |
dc.rights | Copyright © The Author(s) 2019. Rights and permissions: Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. | - |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | - |
dc.subject | Indian Ocean | en_US |
dc.subject | Indus Canyon | en_US |
dc.subject | landslide-generated tsunami | en_US |
dc.subject | statistical emulation | en_US |
dc.subject | uncertainty quantification | en_US |
dc.title | Probabilistic Landslide-Generated Tsunamis in the Indus Canyon, NW Indian Ocean, Using Statistical Emulation | en_US |
dc.type | Article | en_US |
dc.identifier.doi | https://doi.org/10.1007/s00024-019-02187-3 | - |
dc.relation.isPartOf | Pure and Applied Geophysics | - |
pubs.publication-status | Published | - |
pubs.volume | 176 | - |
dc.identifier.eissn | 1420-9136 | - |
Appears in Collections: | Dept of Mechanical and Aerospace Engineering Research Papers |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
FullText.pdf | 6.14 MB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License