Wklad Akademii Morskiej w Gdyni do europejskiego projektu "Ogolnoeuropejskie ramy wzmacniania odpornosci infrastruktur krytycznych na zmiany klimatyczne"
Gdynia Maritime University contribution to the EU project "A paneuropean framework for strengthening critical infrastructure resilience to climate change"

Krzysztof Kolowrocki
2014 Prace Wydzialu Nawigacyjnego Akademii Morskiej w Gdyni  
It is presently acknowledged and scientifically proven that climate related hazards have the potential to substantially affect the lifespan and effectiveness or even destroy of European Critical Infrastructures (CI), particularly the energy, transportation sectors, buildings, marine and water management infrastructure with devastating impacts in EU appraising the social and economic losses. The man strategic objective of EU-CIRCLE is to move towards infrastructure network(s) that is resilient
more » ... today's natural hazards and prepared for the future changing climate. Furthermore, modern infrastructures are inherently interconnected and interdependent systems; thus extreme events are liable to lead to "cascade failures". EU-CIRCLE scope is to derive an innovative framework for supporting the interconnected European Infrastructure's resilience to climate pressures, supported by an end-to-end modelling environment where new analyses can be added anywhere along the analysis workflow and multiple scientific disciplines can work together to understand interdependencies, validate results, and present findings in a unified manner providing an efficient "Best of Breeds" solution of integrating into a holistic resilience model existing modelling tools and data in a standardised fashion. It will be open & accessible to all interested parts in the infrastructure resilience business and having a confirmed interest in creating customized and innovative solutions. It will be complemented with a webbased portal. The design principles, offering transparency and greater flexibility, will allow potential users to introduce fully tailored solutions and infrastructure data, by defining and implementing customised impact assessment models, and use climate/weather data on demand.
doi:10.12716/1002.29.01 fatcat:x5uocln5qnbzfn4nlishk7qehy