Authors / CoAuthors
Davies, G.
Abstract
<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
Product Type
document
eCat Id
147709
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Keywords
- ( Project )
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- Probabilistic Tsunami Hazard Assessment
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- tsunami
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- statistics
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- hazards
- theme.ANZRC Fields of Research.rdf
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- Earth system sciences
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- Published_External
Publication Date
2023-10-10T22:15:06
Creation Date
2023-02-14T09:00:00
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Status
completed
Purpose
Paper for ICCE 2022 Conference Proceedings
Maintenance Information
notPlanned
Topic Category
geoscientificInformation
Series Information
International Conference on Coastal Engineering (ICCE) 4-9 December 2022 Sydney
Lineage
<div>Paper written by Gareth Davies for ICCE 2022 conference proceedings</div>
Parent Information
Extents
[-54.75, -9.2402, 112.92, 159.11]
Reference System
Spatial Resolution
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