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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 14, issue 12 | Copyright
Nat. Hazards Earth Syst. Sci., 14, 3207-3230, 2014
https://doi.org/10.5194/nhess-14-3207-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 04 Dec 2014

Research article | 04 Dec 2014

A decision-support methodology for assessing the sustainability of natural risk management strategies in urban areas

A. M. Edjossan-Sossou1,2, O. Deck1, M. Al Heib2, and T. Verdel1 A. M. Edjossan-Sossou et al.
  • 1Université de Lorraine, GeoRessources, UMR 7359, Ecole des Mines de Nancy, Campus Artem, CS 14234, Nancy CEDEX, 54042, France
  • 2INERIS Nancy, c/o Ecole des Mines de Nancy, Campus Artem, CS 14234, Nancy CEDEX, 54042, France

Abstract. This paper attempts to provide a decision support framework that can help risk managers in urban areas to improve their decision-making processes related to sustainable management. Currently, risk management strategies should no longer be selected based primarily on economic and technical insight. Managers must address the sustainability of risk management by assessing the impacts of their decisions on the sustainable development of a given territory. These assessments require tools that allow ex ante comparisons of the effectiveness and the likely economic, social and ecological impacts of the alternative management strategies. Therefore, this paper reports a methodological and operational framework, which aims to incorporate sustainability principles in a particular decision by taking all the dimensions that affect sustainability into account. This paper is divided into two main parts: one on the theoretical aspects of the proposed methodology and the other on its application to a flood risks management case in a municipality located in Meurthe-et-Moselle county (France). The results of the case study have shown how the methodology can be suitable for determining the most sustainable decision.

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