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Natural Hazards and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Volume 12, issue 9
Nat. Hazards Earth Syst. Sci., 12, 2843–2863, 2012
https://doi.org/10.5194/nhess-12-2843-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: Flood resilient communities – managing the consequences...

Nat. Hazards Earth Syst. Sci., 12, 2843–2863, 2012
https://doi.org/10.5194/nhess-12-2843-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 12 Sep 2012

Research article | 12 Sep 2012

A quantitative flood risk analysis methodology for urban areas with integration of social research data

I. Escuder-Bueno1, J. T. Castillo-Rodríguez1, S. Zechner2, C. Jöbstl2, S. Perales-Momparler3, and G. Petaccia4 I. Escuder-Bueno et al.
  • 1Universitat Politècnica de València, Research Institute of Water and Environmental Engineering, Valencia, Spain
  • 2Graz University of Technology, Institute of Hydraulic Engineering and Water Resources Management, Graz, Austria
  • 3PMEnginyeria, Valencia, Spain
  • 4University of Pavia, Department of Civil Engineering and Architecture, Pavia, Italy

Abstract. Risk analysis has become a top priority for authorities and stakeholders in many European countries, with the aim of reducing flooding risk, considering the population's needs and improving risk awareness. Within this context, two methodological pieces have been developed in the period 2009–2011 within the SUFRI project (Sustainable Strategies of Urban Flood Risk Management with non-structural measures to cope with the residual risk, 2nd ERA-Net CRUE Funding Initiative). First, the "SUFRI Methodology for pluvial and river flooding risk assessment in urban areas to inform decision-making" provides a comprehensive and quantitative tool for flood risk analysis. Second, the "Methodology for investigation of risk awareness of the population concerned" presents the basis to estimate current risk from a social perspective and identify tendencies in the way floods are understood by citizens. Outcomes of both methods are integrated in this paper with the aim of informing decision making on non-structural protection measures. The results of two case studies are shown to illustrate practical applications of this developed approach. The main advantage of applying the methodology herein presented consists in providing a quantitative estimation of flooding risk before and after investing in non-structural risk mitigation measures. It can be of great interest for decision makers as it provides rational and solid information.

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