Developing and testing the Automated Post-Event Earthquake Loss Estimation and Visualisation (APE-ELEV) technique |
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| Authors: | Anthony Astoul Christopher Filliter Eric Mason Andrew Rau-Chaplin Kunal Shridhar Blesson Varghese Naman Varshney |
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| Institution: | 2. Risk Analytics Lab, Faculty of Computer Science, Dalhousie University, Halifax, NS, Canada
1. Big Data Lab, Faculty of Computer Science, University of St Andrews, St Andrews, Scotland, UK
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| Abstract: | An automated, real-time, multiple sensor data source relying and globally applicable earthquake loss model and visualiser is desirable for post-event earthquake analysis. To achieve this there is a need to support rapid data ingestion, loss estimation and integration of data from multiple data sources and rapid visualisation at multiple geographic levels. In this paper, the design and development of the Automated Post-Event Earthquake Loss Estimation and Visualisation (APE-ELEV) system for real-time estimation and visualisation of insured losses incurred due to earthquakes is presented. A model for estimating ground up and net of facultative losses due to earthquakes in near real-time is implemented. Since post-event data is often available immediately from multiple disparate sources, a geo-browser is employed to facilitate the visualisation and integration of earthquake hazard, exposure and loss data. The feasibility of APE-ELEV is demonstrated using a test case earthquake that occurred in Tohoku, Japan (2011). The APE-ELEV model is further validated for ten global earthquakes using industry loss data. |
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