論文

2017年9月

Tsunami inundation variability from stochastic rupture scenarios: Application to multiple inversions of the 2011 Tohoku, Japan earthquake

COASTAL ENGINEERING
  • Nobuhito Mori
  • ,
  • P. Martin Mai
  • ,
  • Katsuichiro Goda
  • ,
  • Tomohiro Yasuda

127
開始ページ
88
終了ページ
105
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1016/j.coastaleng.2017.06.013
出版者・発行元
ELSEVIER SCIENCE BV

We develop a framework for assessing the sensitivity and variability of tsunami inundation characteristics for stochastic physics-based scenarios of mega-thrust subduction earthquakes. The method is applied to the 2011.Tohoku, Japan earthquake, and tested against observed inundation maps at several locations along the Tohoku coast, using 11 different, previously published, rupture models for this devastating tsunamgenic earthquake. The earthquake rupture models differ in fault dimension (length and width), geometry (dip, strike and top-edge depth), as well as asperity characteristics (slip heterogeneity on the fault plane). The resulting source variability allows exploring a wide range of tsunami scenarios for an MO mega-thrust subduction earthquake in the Tohoku region to conduct thorough sensitivity analyses and to quantify the inundation variability. The numerical results indicate a strong influence of the reference source models on inundation variability, and demonstrate significant sensitivity of inundation to the details of the rupture realization. Therefore, relying on a single particular earthquake rupture model as a representative case when varying earthquake source characteristics may lead to under-representation of the variability of potential scenarios. Moreover, the proposed framework facilitates the rigorous development of critical scenarios for tsunami hazard and risk assessments, which are particularly useful for tsunami hazard mapping and disaster preparedness planning.

リンク情報
DOI
https://doi.org/10.1016/j.coastaleng.2017.06.013
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000407983300007&DestApp=WOS_CPL
ID情報
  • DOI : 10.1016/j.coastaleng.2017.06.013
  • ISSN : 0378-3839
  • eISSN : 1872-7379
  • Web of Science ID : WOS:000407983300007

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