UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Uncertainty in Manning's roughness coefficient in multilevel simulations of future tsunamis in Sumatra

Li, Kaiyu; Salmanidou, Dimitra; Gopinathan, Devaraj; Heidarzadeh, Mohammad; Guillas, Serge; (2025) Uncertainty in Manning's roughness coefficient in multilevel simulations of future tsunamis in Sumatra. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences , 481 (2316) , Article 20240637. 10.1098/rspa.2024.0637. Green open access

[thumbnail of 2025_06_16_proof.pdf]
Preview
Text
2025_06_16_proof.pdf - Accepted Version

Download (2MB) | Preview

Abstract

We employ multilevel Bayesian quadrature (MLBQ) to quantify uncertainties in the land cover roughness, a critical but unknown parameter for simulation of structural forces from future tsunamis that inform coastal engineering and urban planning. To account for this uncertainty, we regard roughness as a nuisance parameter and integrate out its effects on the maximum momentum flux. A comprehensive integration over a range of roughness requires large numbers of computationally expensive simulations. We circumvent this hurdle using multilevels of resolution for the simulations, a mix of two levels of mesh sizing for underlying non-uniform unstructured mesh - a low (50 m) and high (25 m) resolution. The computational burden of the overall integration is further reduced by blending the outputs of the multilevel simulations using Bayesian quadrature. Using end-to-end physical and numerical modelling to simulate the entire tsunami life-cycle - earthquake source to coastal inundation - we illustrate our approach by computing probability distributions of local effects from future large tsunamis for Sumatra. Our MLBQ framework, accounting for uncertainties in roughness while reducing computational burden, can improve probabilistic hazard and risk assessments in combination with other uncertainties.

Type: Article
Title: Uncertainty in Manning's roughness coefficient in multilevel simulations of future tsunamis in Sumatra
Open access status: An open access version is available from UCL Discovery
DOI: 10.1098/rspa.2024.0637
Publisher version: https://doi.org/10.1098/rspa.2024.0637
Language: English
Additional information: 2025 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/ by/4.0/, which permits unrestricted use, provided the original author and source are credited.
Keywords: Science & Technology, Multidisciplinary Sciences, Science & Technology - Other Topics, hazard assessment, friction, multifidelity, probabilistic numerics, uncertainty quantification, coastal engineering, ANDAMAN EARTHQUAKE, INUNDATION, INFERENCE, VELOCITY, TIME
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Statistical Science
URI: https://discovery.ucl.ac.uk/id/eprint/10220047
Downloads since deposit
2Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item