The Crisis Classification Component to Strengthen the Early Warning, Risk Assessment and Decision Support in Extreme Climate Events

Gerasimos Antzoulatos (), Anastasios Karakostas (), Stefanos Vrochidis () and Ioannis Kompatsiaris ()
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Gerasimos Antzoulatos: Information Technologies Institute (ITI)
Anastasios Karakostas: Information Technologies Institute (ITI)
Stefanos Vrochidis: Information Technologies Institute (ITI)
Ioannis Kompatsiaris: Information Technologies Institute (ITI)

A chapter in Dynamics of Disasters, 2021, pp 39-66 from Springer

Abstract: Abstract Climate change is considered as being one of the most important challenges of modern times, having multiple and significant impacts on human societies and environment. The negative effects which are revealed through weather extreme events and causing distress and loss of property and human lives will become more intensive in the future, especially in poor countries. Hence, there is an urgent need to develop novelty tools to enhance awareness and preparedness, to assess risks and to support decision-making, aiming to increase the social resilience to climate changes. The proposed open-source holistic beAWARE framework encompasses technological achievements that enables first responders and authorities to manage efficiently the pre-emergency and emergency phases of a hazardous natural event. Specifically, the Crisis Classification component of beAWARE platform consolidates functionalities to provide dual services: (a) firstly, as an Early-Warning system, aiming to estimate the crisis level of the upcoming extreme conditions such as the hazard of flood, fire or heatwave (pre-emergency phase), and (b) secondly, as a Real-Time Monitoring and Risk Assessment system aiming to assess the risk and support to make accurate and timely decisions, when a crisis has evolved.

Keywords: Risk assessment; Crisis classification; Early warning systems; Risk-based decision support systems; Natural disasters (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1007/978-3-030-64973-9_3

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