A new tsunami runup predictor

Wronna M., Baptista M. A., KANOĞLU U.

NATURAL HAZARDS, vol.105, no.2, pp.1571-1585, 2021 (SCI-Expanded) identifier

  • Publication Type: Article / Article
  • Volume: 105 Issue: 2
  • Publication Date: 2021
  • Doi Number: 10.1007/s11069-020-04366-1
  • Journal Name: NATURAL HAZARDS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, IBZ Online, PASCAL, Aerospace Database, Aquatic Science & Fisheries Abstracts (ASFA), CAB Abstracts, Communication Abstracts, Environment Index, Geobase, INSPEC, Metadex, PAIS International, Pollution Abstracts, Veterinary Science Database, DIALNET, Civil Engineering Abstracts
  • Page Numbers: pp.1571-1585
  • Keywords: Rapid tsunami runup prediction, Tsunami hazard, Tsunami early warning systems, Analytical runup computation, Nonlinear shallow water-wave modelling, MOMENT TENSOR SOLUTIONS, 2015 CHILE TSUNAMI, 1994 JAVA TSUNAMI, BOUSSINESQ EQUATIONS, SLIP DISTRIBUTION, SOLITARY WAVES, N-WAVES, EARTHQUAKE, EVOLUTION, VALIDATION
  • Dokuz Eylül University Affiliated: No

Abstract

We introduce a new parameter, tsunami runup predictor (TRP), relating the accelerating phase of the wave to the length of the beach slope over which the wave is travelling. We show the existence of a relationship between the TRP and the runup for different initial waveforms, i.e. leading elevation N-waves (LENs) and leading depression N-waves (LDNs). Then, we use the TRP to estimate tsunami runup for past tsunami events. The comparison of the runup estimates against field data gives promising results. Thus, the TRP provides first-order estimates of tsunami runup once the offshore waveform is known or estimated and, therefore, it could be beneficial to be implemented in tsunami early warning systems.