From Offshore to Onshore probabilistic tsunami hazard assessment with quantified uncertainty efficient Monte Carlo techniques.

<div>Offshore probabilistic tsunami hazard assessments (PTHAs) are increasingly available for earthquake generated tsunamis. They provide standardized representations of tsunami scenarios, their uncertain occurrence-rates, and models of the deep ocean waveforms. To quantify onshore hazards it is natural to combine this information with a site-specific inundation model, but this is computationally challenging to do accurately, especially if accounting for uncertainties in the offshore PTHA. This study reviews an efficient Monte Carlo method recently proposed to solve this problem. The efficiency comes from preferential sampling of scenarios that are likely important near the site of interest, using a user-defined importance measure derived from the offshore PTHA. The theory of importance sampling enables this to be done without biasing the final results. Techniques are presented to help design and test Monte Carlo schemes for a site of interest (before inundation modelling) and to quantify errors in the final results (after inundation modelling). The methods are illustrated with examples from studies in Tongatapu and Western Australia.</div>

Abstract submitted/presented to the International Conference on Coastal Engineering (ICCE) 2022 - Sydney ( https://icce2022.com/).


Citation:

Davies, G. (2023). FROM OFFSHORE TO ONSHORE PROBABILISTIC TSUNAMI HAZARD ASSESSMENT WITH QUANTIFIED UNCERTAINTY: EFFICIENT MONTE CARLO TECHNIQUES. <i>Coastal Engineering Proceedings</i>, (37), papers.18. https://doi.org/10.9753/icce.v37.papers.18

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Date (Creation)
2023-02-14T09:00:00
Date (Publication)
2023-10-10T22:15:06
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Geoscience Australia Persistent Identifier/https://pid.geoscience.gov.au/dataset/ga/147709

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Davies, G.

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International Conference on Coastal Engineering

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International Conference on Coastal Engineering (ICCE) 4-9 December 2022 Sydney

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Paper for ICCE 2022 Conference Proceedings

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Place and Communities Division

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Commonwealth of Australia (Geoscience Australia)

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Davies, G.

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  • Probabilistic Tsunami Hazard Assessment

Keywords

  • tsunami

Keywords

  • statistics

Keywords

  • hazards

theme.ANZRC Fields of Research.rdf

  • Earth system sciences

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  • Published_External

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Creative Commons Attribution 4.0 International Licence

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CC-BY

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4.0

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© Commonwealth of Australia (Geoscience Australia) 2023

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Australian Government Security Classification System

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2018-11-01T00:00:00
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Australian Government Security Classification System

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English
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<div>Paper written by Gareth Davies for ICCE 2022 conference proceedings</div>

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Australian Government Security Classification System

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2018-11-01T00:00:00
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https://www.protectivesecurity.gov.au/Pages/default.aspx

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Unclassified

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urn:uuid/c4b7f99b-1dfe-419d-97d3-f393cef81658

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Language
English
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UTF8
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Commonwealth of Australia (Geoscience Australia)

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Davies, G.

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eCatId/147709

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https://ecat.ga.gov.au/geonetwork/srv/eng/catalog.search#/metadata/c4b7f99b-1dfe-419d-97d3-f393cef81658

Date info (Creation)
2023-03-06T00:52:36
Date info (Revision)
2023-03-06T00:52:36

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Title

AU/NZS ISO 19115-1:2014

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ISO 19115-1:2014

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Title

ISO 19115-3

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Geoscience Australia Community Metadata Profile of ISO 19115-1:2014

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Version 2.0, September 2018

Citation identifier
https://pid.geoscience.gov.au/dataset/ga/122551

 
 

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Keywords

Probabilistic Tsunami Hazard Assessment
theme.ANZRC Fields of Research.rdf
Earth system sciences

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