Probabilistic tsunami hazard analysis of the Pacific Coast of Mexico: Case study based on the 1995 Colima Earthquake Tsunami

Nobuhito Mori, Ario Muhammad, Katsu Goda, Tomohiro Yasuda, Angel Ruiz Angulo

Research output: Contribution to journalArticle (Academic Journal)peer-review

16 Citations (Scopus)
305 Downloads (Pure)

Abstract

This study develops a novel computational framework to carry out probabilistic tsunami hazard assessment for the Pacific coast of Mexico. The new approach enables the consideration of stochastic tsunami source scenarios having variable fault geometry and heterogeneous slip that are constrained by an extensive database of rupture models for historical earthquakes around the world. The assessment focuses upon the 1995 Jalisco-Colima Earthquake Tsunami from a retrospective viewpoint. Numerous source scenarios of large subduction earthquakes are generated to assess the sensitivity and variability of tsunami inundation characteristics of the target region. Analyses of nine slip models along the Mexican Pacific coast are performed and statistical characteristics of slips (e.g. coherent structures of slip spectra) are estimated. The source variability allows exploring a wide range of tsunami scenarios for a moment magnitude (Mw) 8 subduction earthquake in the Mexican Pacific region to conduct thorough sensitivity analyses and to quantify the tsunami height variability. The numerical results indicate a strong sensitivity of maximum tsunami height to major slip locations in the source, and indicate major uncertainty at the first peak of tsunami waves.
Original languageEnglish
Article number34
JournalFrontiers in Built Environment
Volume3
DOIs
Publication statusPublished - 20 Jun 2017

Keywords

  • tsunami
  • Probabilistic tsunami hazard assessment
  • synthetic slip
  • slip spectra
  • 1995 Colima earthquake

Fingerprint Dive into the research topics of 'Probabilistic tsunami hazard analysis of the Pacific Coast of Mexico: Case study based on the 1995 Colima Earthquake Tsunami'. Together they form a unique fingerprint.

Cite this