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J. Mar. Sci. Eng. 2014, 2(2), 400-412; doi:10.3390/jmse2020400

A Universal Parameter to Predict Subaerial Landslide Tsunamis?

1,*  and 2
1 Department of Civil and Environmental Engineering, Imperial College London, London SW7 2AZ, UK 2 Laboratory of Hydraulics, Hydrology and Glaciology (VAW), Swiss Federal Institute of Technology (ETH) Zurich, CH-8093 Zürich, Switzerland
* Author to whom correspondence should be addressed.
Received: 18 February 2014 / Revised: 11 March 2014 / Accepted: 31 March 2014 / Published: 29 April 2014
(This article belongs to the Special Issue Tsunami Science and Engineering)
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The significance of the impulse product parameter P is reviewed, which is believed to be the most universal parameter for subaerial landslide tsunami (impulse wave) prediction. This semi-empirical parameter is based on the streamwise slide momentum flux component and it was refined with a multiple regression laboratory data analysis. Empirical equations based on P allow for a simple prediction of wave features under diverse conditions (landslides and ice masses, granular and block slides, etc.). Analytical evidence reveals that a mass sliding down a hill slope of angle 51.6° results in the highest waves. The wave height “observed” in the 1958 Lituya Bay case was well predicted using P. Other real-world case studies illustrate how efficient empirical equations based on P deliver wave estimates which support hazard assessment. Future applications are hoped to further confirm the applicability of P to cases with more complex water body geometries and bathymetries.
Keywords: hazard assessment; impulse wave; landslide; landslide tsunami; physical modelling; wave generation hazard assessment; impulse wave; landslide; landslide tsunami; physical modelling; wave generation
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Heller, V.; Hager, W.H. A Universal Parameter to Predict Subaerial Landslide Tsunamis? J. Mar. Sci. Eng. 2014, 2, 400-412.

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