NHESS Natural Hazards and Earth System Sciences NHESS Nat. Hazards Earth Syst. Sci. 1684-9981 Copernicus Publications Göttingen, Germany 10.5194/nhess-12-2843-2012 A quantitative flood risk analysis methodology for urban areas with integration of social research data Escuder-Bueno I. 1 Castillo-Rodríguez J. T. 1 Zechner S. 2 Jöbstl C. 2 Perales-Momparler S. 3 Petaccia G. 4 Universitat Politècnica de València, Research Institute of Water and Environmental Engineering, Valencia, Spain Graz University of Technology, Institute of Hydraulic Engineering and Water Resources Management, Graz, Austria PMEnginyeria, Valencia, Spain University of Pavia, Department of Civil Engineering and Architecture, Pavia, Italy 12 09 2012 12 9 2843 2863 Copyright: © 2012 I. Escuder-Bueno et al. 2012 This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit https://creativecommons.org/licenses/by/3.0/ This article is available from https://nhess.copernicus.org/articles/12/2843/2012/nhess-12-2843-2012.html The full text article is available as a PDF file from https://nhess.copernicus.org/articles/12/2843/2012/nhess-12-2843-2012.pdf

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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