Wang, R., Hughes, M., Peakall, J. et al. (4 more authors) (2026) New Analytical Model for Forecasting Turbidity Current Run‐Up Heights: Implications for Risk Assessment of Seafloor Infrastructure on Submarine Slopes. Geophysical Research Letters, 53 (3). e2025GL118812. ISSN: 0094-8276
Abstract
Turbidity currents are destructive flows that are hazardous to critical seafloor infrastructure on submarine slopes because run-up heights can be 10–100s of meters, as their relative density is 2–3 orders of magnitude lower than terrestrial flows. Currently, risk analysis is hindered by poor prediction of run-up heights that are mainly derived from confined 2D experiments, and/or numerical models, and are restricted to a specific configuration whereby the flow strikes topographic barriers orthogonally. Here, a new analytical model is presented, informed by and validated against physical experiments, which predicts run-up heights for flows encountering three-dimensional slopes as a function of any slope angle, and incidence angle, of the impinging turbidity current. This has important implications for reducing geohazards by informing routing and positioning of seafloor infrastructure, and for more accurately interpreting submarine landscapes and their deposits.
Metadata
| Item Type: | Article |
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| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | © 2026. The Author(s). This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
| Keywords: | turbidity current; run-up height; submarine slope; flow incidence angle; slope gradient: risk assessment |
| Dates: |
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| Institution: | The University of Leeds |
| Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) |
| Date Deposited: | 04 Mar 2026 11:31 |
| Last Modified: | 04 Mar 2026 11:31 |
| Status: | Published |
| Publisher: | American Geophysical Union (AGU) |
| Identification Number: | 10.1029/2025gl118812 |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:238548 |

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