Rapid Multi-Hazard Loss Estimation of Earthquake-Tsunami Impacts for Improved Disaster Response and Recovery
Publication: ASCE Inspire 2023
ABSTRACT
Megathrust subduction earthquakes, capable of triggering strong ground motions and tsunamis, significantly affect coastal infrastructure. Efficient disaster response and resource allocation require rapid and accurate assessments of economic consequences following such events. This study presents the development of a rapid multi-hazard loss estimation tool, utilizing simulated strong motion and offshore tsunami wave amplitude data to compensate for the scarcity of historical earthquake-tsunami data for calibration purposes. The research focuses on Japan’s Tohoku region, which has existing strong motion and tsunami monitoring networks. By adopting a multi-hazard catastrophe model and employing statistical methods, such as multiple linear regression and random forest regression, the study explores several predictive models for multi-hazard impact forecasting. The comparison of these models’ performances aids in identifying the most effective approach for rapid loss estimation. The findings contribute to improving immediate disaster response and recovery efforts, enabling better resource allocation and support for severely affected coastal communities.
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ASCE Inspire 2023
Pages: 282 - 288
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Published online: Nov 14, 2023
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