Rapid Post-event Catastrophe Modelling and Visualization

Andrew Rau‐Chaplin · Kunal Shridhar · Blesson Varghese · Naman Varshney

3 citations0/0 files storedInternational Workshop on Database and Expert Systems Applications (DEXA)

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Earthquake and Disaster Impact Studies Disaster Management and Resilience Seismic Performance and Analysis

Abstract

Catastrophe models capable of rapid data ingestion, loss estimation and visualization are required for post-event analysis of catastrophic events such as earthquakes. This paper describes the design and development of the Automated Post-Event Earthquake Loss Estimation and Visualization (APE-ELEV) system for real-time estimation and visualization of losses incurred due to earthquakes. A model for estimating expected losses due to earthquakes in near real-time is described and implemented. Since immediately post-event data is often available from multiple disparate sources, a geo-browser is described that helps users to visualize and integrate hazard, exposure and loss data.

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2006MapShaper.org: a map generalization Web service 2008The KML Handbook: Geographic Visualization for the Web 2011Rapid estimation of the economic consequences of global earthquakes 2006Centralized web-based loss estimation tool: INLET for disaster response 2004Earthquake loss estimates in real time begin to assist rescue teams worldwide

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