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Resilience indicators and risk characteristics for the analysis of flood management
Krywkow, Jörg; Schelfaut, K. (2011). Resilience indicators and risk characteristics for the analysis of flood management, in: Zenz, G. et al. (Ed.) Proceedings of the International Symposium UFRIM - Urban Flood Risk Management: approaches to enhance resilience of communities, 21st-23rd September 2011, Graz, Austria. pp. [1-6]
In: Zenz, G.; Hornich, R. (Ed.) (2011). Proceedings of the International Symposium UFRIM - Urban Flood Risk Management: approaches to enhance resilience of communities, 21st-23rd September 2011, Graz, Austria. Graz University of Technology. Verlag der Technischen Universität Graz: Graz. ISBN 978-3-85125-173-9. XVIII, 593 pp., meer
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Documenttype: Congresbijdrage
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  • Krywkow, Jörg, meer
  • Schelfaut, K., meer
Abstract
    The agglomeration of extreme weather events throughout the last decades in conjunction with the increasing severity of resulting floods beyond long-time probability levels poses the question to what extent technical flood protection measures are effective and affordable. A paradigm shift from ’defying floods’ to ’living with floods’ emerged among innovative flood managers and scientists in recent years. The combination of vital technical facilities with ’non-structural’ measures holds out the prospect of a significant flood risk reduction. This requires a new management style that includes vertical communication and collaboration among authorities, stakeholders and the public. The CRUE-ERAnet project FREEMAN endeavours to introduce the concept of ’resilience’ into contemporary flood risk management. Resilience is not a stand-alone concept, but must be seen in the context of sustainable development research, and more specific as part of the principles of adaptive water management (AWM). One methodological component of the FREEMAN project is the principle of risk perception based upon the so-called psychometric paradigm. With this approach risk characteristics such as worry, awareness and preparedness can be included in a quantitative analysis of a flood-prone community. The analysis of the FREEMAN case studies was based upon resilience indicators. Theses indicators together with risk characteristics formed the basis for the empirical effort in FREEMAN. Expert interviews as well as online questionnaires have been employed. Based upon resilience indicators and risk characteristics will be provided.
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