Development of Real-Time Tsunami Inundation Forecast Method Using a Dense Offshore Observation Network


Abstract eng:
We are developing a new algorithm for a real-time tsunami inundation forecast using the Seafloor Observation Network for Earthquakes and Tsunamis (S-net), which is now being constructed along the Japan Trench. In our algorithm, we first prepare the proposed Tsunami Scenario Bank (TSB), which contains offshore tsunami waveforms at the observatory location and the maximum tsunami height distributions, inundation depths, arrival times, etc. at the target coastal region. Ideally, TSB should contain tsunami information for all possible tsunami sources that may affect the target region, but it is impossible to prepare them in a finite time and computer resources. In this study, we tentatively construct the prototype of TSB with various tsunami source models in the Japan Trench region. We then quickly select several appropriate tsunami scenarios that can explain offshore tsunami observations by using multiple indices: correlation coefficient and two kinds of variance reductions. At that time, possible tsunami inundation information coupled with selected tsunami scenarios are forecast. To evaluate the propriety of our proposed method, we compare the coastal tsunami height distributions and/or tsunami inundation depth distributions of two paleotsunamis and those of corresponding selected tsunami scenarios.

Contributors:
Conference Title:
Conference Title:
16th World Conference on Earthquake Engineering
Conference Venue:
Santiago (CL)
Conference Dates:
2017-01-09 / 2017-01-13
Rights:
Text je chráněný podle autorského zákona č. 121/2000 Sb.



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 Record created 2017-01-18, last modified 2017-01-18


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