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Prompt Tsunami Loss Estimation Using Satellite Imagery

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dc.contributor.authorGoda, Katsuichiro-
dc.date.accessioned2019-05-14T03:00:39Z-
dc.date.available2019-05-14T03:00:39Z-
dc.date.issued2019-05-26-
dc.identifier.citation13th International Conference on Applications of Statistics and Probability in Civil Engineering(ICASP13), Seoul, South Korea, May 26-30, 2019-
dc.identifier.isbn979-11-967125-0-1-
dc.identifier.otherICASP13-045-
dc.identifier.urihttps://hdl.handle.net/10371/153271-
dc.description.abstractThis study explores the development of prompt tsunami loss estimation methods that are based on inundation hazard parameters inferred from remotely-sensed images. Using a tsunami catastrophe model for the Tohoku region of Japan, approximate tsunami loss functions are derived for coastal communities in Miyagi Prefecture. Calibration of the prompt tsunami loss estimation models is carried out by utilizing predicted tsunami losses for 4000 stochastic earthquake scenarios of moment magnitudes between Mw7.5 and Mw9.1. Using numerous earthquake sources facilitates the robust calibration of the developed tsunami loss functions. Special considerations are given to investigate the effects of coastal topography and the potential bias due to errors in estimating inundation parameters.-
dc.description.sponsorshipThis work is supported by the Leverhulme Trust (RPG-2017-006) and the Canada Research Chair in Multi-Hazard Risk Assessment program at Western University (950-232015).-
dc.language.isoen-
dc.titlePrompt Tsunami Loss Estimation Using Satellite Imagery-
dc.typeConference Paper-
dc.identifier.doi10.22725/ICASP13.045-
dc.sortNo955-
dc.citation.pages146-153-
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