Articles | Volume 18, issue 5
Nat. Hazards Earth Syst. Sci., 18, 1469–1491, 2018
https://doi.org/10.5194/nhess-18-1469-2018
Nat. Hazards Earth Syst. Sci., 18, 1469–1491, 2018
https://doi.org/10.5194/nhess-18-1469-2018

Research article 29 May 2018

Research article | 29 May 2018

Tsunami run-up estimation based on a hybrid numerical flume and a parameterization of real topobathymetric profiles

Íñigo Aniel-Quiroga et al.

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (27 Feb 2018) by Ira Didenkulova
AR by Íñigo Aniel-Quiroga on behalf of the Authors (27 Feb 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (28 Feb 2018) by Ira Didenkulova
RR by Anonymous Referee #1 (05 Mar 2018)
RR by Anonymous Referee #2 (12 Mar 2018)
ED: Reconsider after major revisions (further review by editor and referees) (12 Mar 2018) by Ira Didenkulova
AR by Íñigo Aniel-Quiroga on behalf of the Authors (21 Mar 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (22 Mar 2018) by Ira Didenkulova
RR by Anonymous Referee #2 (30 Apr 2018)
ED: Publish subject to minor revisions (review by editor) (30 Apr 2018) by Ira Didenkulova
AR by Íñigo Aniel-Quiroga on behalf of the Authors (02 May 2018)  Author's response    Manuscript
ED: Publish as is (03 May 2018) by Ira Didenkulova
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Short summary
Recent tsunami events have exposed the need for further work to develop and apply tsunami risk reduction measures. A key parameter that must be adequately determined is the run-up, the maximum elevation to which water from a tsunami wave will rise during its flooding process. In this work, a new methodology to simply calculate the run-up is presented. The methodology has been applied to calculate a tsunami run-up database, where the run-up of new events can be calculated by interpolation.
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