Energy Method for Approximating Overland Tsunami Flows
Publication: Journal of Waterway, Port, Coastal, and Ocean Engineering
Volume 143, Issue 5
Abstract
This paper applies a simple energy method to predict characteristics of overland tsunami flows based on extrapolation of the energy grade line between the shoreline and the tsunami run-up limit. Starting with a mapped run-up or inundation limit from tsunami hazard maps or from field surveys, the method reconstructs maximum inundation depths and velocities across a flooded topographic transect to the shoreline. The energy method is evaluated first in comparison with thousands of numerical simulations conducted on idealized topographies using a free-surface wave model. The method is then evaluated in more detailed simulations over realistic topography using a second tsunami-evolution model. Finally, the method is evaluated against field observations of inundation depths from tsunami events in Chile and Japan. In all cases, inundation depths are predicted quite well, with little bias across a wide range of flow conditions and topographic conditions. Predicted velocities show less precision but seem to predict the general velocity decay from shoreline to run-up limit. The method then overestimates and provides a conservative estimate of the maximum momentum flux.
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Acknowledgments
The authors thank Dr. Yong Wei of the PMEL for providing the MOST model simulations. Dan Weibe, while a master’s degree candidate at Oregon State University, was instrumental in the early evaluation of the method, especially in the evaluation of the Froud-number decay adopted here. This work was performed as part of the ASCE 7 Tsunami Loads and Effects Committee chaired by Mr. Gary Chock. Numerous members of the committee provided useful comments and feedback during the development of this approach.
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© 2017 American Society of Civil Engineers.
History
Received: Nov 16, 2015
Accepted: Dec 21, 2016
Published online: Apr 27, 2017
Published in print: Sep 1, 2017
Discussion open until: Sep 27, 2017
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