MEDEA

Lack of evidence-based knowledge regarding evacuation due to fire behavior in Wildland Urban Interface areas

Capability Gap Lack of evidence-based knowledge regarding evacuation due to fire behavior in Wildland Urban Interface areas Difficulties in evacuating a large number of people in a small amount of time, in an attempt to prevent people from getting trapped, while trying to escape   Formal guidelines and evacuation plans do not exist for WUI settlements. Evacuation instructions …

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Inadequate fire-fighting knowledge and shortage of fire-suppression resources and operational means for operating in Wildland Urban Interface areas

Capability Gap Inadequate fire-fighting knowledge and shortage of fire-suppression resources and operational means for operating in Wildland Urban Interface areas​ There is no adequate knowledge concerning wildfire management in WUI areas, a non-homogeneous environment with numerous particularities ((including human presence spatial and temporal patterns). Missing geographic information about people and buildings in danger during a wildland fire. Challenges in training of first responders in …

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Lack of evidence-based Knowledge (including risk assessment and cascading effects) on fire behavior in Wildland Urban Interface areas

Capability Gap Lack of evidence-based Knowledge (including risk assessment and cascading effects) on fire behavior in Wildland Urban Interface areas ​ Difficulty to accurately anticipate the fire development and the cascading effects in WUI areas. Heterogeneity of the conditions inside WUI areas, notably concerning fuel categories (buildings, gardens and natural vegetation) and spatial distribution patterns. Scattered presence of individuals …

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Not all stakeholders share the same operational picture. Lack of interoperable systems and real-time situational awareness in firefighting

Capability Gap Lack of interoperable systems and real-time situational awareness in firefighting Not All Stakeholders Share The Same Operational Picture. Lack of communication, cooperation and information-sharing culture between different authorities No interoperability of systems across organisations. Plans are shared among agencies but not integrated in a common platform. Missing culture, training and infrastructure to share Common Operational Picture (COP) during the incident …

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Lack of a standardized and interdisciplinary methodology for developing Wildland Urban Interface prevention plans

Capability Gap [4.CGF.2] Lack of a Standardized and Interdisciplinary Methodology for Developing Wildland Urban Interface Prevention Plans Background Stakeholders (First Responders, local authorities, and homeowners/residents) elaborate prevention plans individually, often following different methodologies Workshop Findings First Responders, local and regional authorities, homeowners, residents developed prevention plans individually (if they develop any), without consultation and guidance from …

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Inadequate perception of fire risk and lack of risk awareness in Wildland Urban Interface areas

Capability Gap [4.CGF.1] Inadequate perception of fire risk and lack of risk awareness in Wildland Urban Interface areas​ Background Lack of security culture: wildfire risk prevention isn’t integrated in the mindset and lifestyle of the citizens living in the WUI areas. Neither perception nor ownership of fire risk: most citizens remain inactive even if they …

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JUST-IN-TIME TRAINING LIVE WEBINAR JOINTLY ORGANIZED BY 5 PRACTITIONERS’ NETWORKS

Just-in-time training live webinar jointly organized by 5 practitioners’ networks On the 18th of June 2020, a live Webinar on Just-In-Time Training was organized by the 5 pan-European networks of practitioners (DARENET, ENOTICE, FIRE-IN, MEDEA, NO-FEAR), with the aim to provide practitioners, researchers and other interested professionals with best practices and methodologies for immediate (“just …

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Fighting the COVID-19 pandemic

Fighting the COVID-19 Pandemic (June 29, 2020) Next COVID-19 outbreak ‘predicted via satellite’ Rita R. Colwell, a distinguished professor at the University of Maryland, College Park, has developed a predictive model for SARS-CoV-2, the scientific name for the virus that causes coronavirus disease – COVID-19. Read More FORBES: Why Resilience Must Drive Covid-19 Recovery According …

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