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Natural Hazards and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Discussion papers
https://doi.org/10.5194/nhess-2019-306
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-2019-306
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: research article 07 Oct 2019

Submitted as: research article | 07 Oct 2019

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This discussion paper is a preprint. It is a manuscript under review for the journal Natural Hazards and Earth System Sciences (NHESS).

A spatial decision support system for enhancing resilience to floods. Bridging resilience modeling and geovisualization techniques

Charlotte Heinzlef1,2, Vincent Becue2, and Damien Serre3 Charlotte Heinzlef et al.
  • 1UMR 7300 ESPACE – Avignon University, 74, rue Louis Pasteur – Case 19 – 84029 Avignon Cedex 1, France
  • 2University of Mons, Faculty of Architecture and Urban Planning Rue d'Havré 88, 7000, Mons, Belgium
  • 3UMR 241 EIO, French Polynesia University – B.P. 6570 - 98702 Faa'a – Tahiti, French Polynesia

Abstract. In the context of climate change and increasing urbanization, floods are considerably affecting urban areas. The concept of urban resilience may be an interesting means of responding to urban flood issues. The objective of this research is to propose a spatial decision support tool based on geovisualization techniques and a resilience assessment method. The goal is to localize the level of resilience modeled in different territories. The methodology proposed consists in integrating three resilience indicators applied to a case study in Avignon (Provence Alpes Côte d'Azur Region, France) and the use of geovisualization techniques: using GIS for data processing and analysis, visualization, mapping and model processing. The methodology integrates decision-making by identifying characteristics capable of improving urban resilience and facilitating its understanding using a visual tool. The results demonstrate the usefulness of modeling resilience using geovisualization techniques to identify the potential for local resilience, integrate local stakeholders into a process of clarifying the concept through the contribution of visualization, and consider easier access to this concept based on data analysis, processing and visualization through the design of maps.

Charlotte Heinzlef et al.
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Charlotte Heinzlef et al.
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Short summary
The objective of this article is to propose a spatial decision support tool based on geovisualization techniques and a resilience assessment method for flood risk management. The methodology proposed integrates decision-making by identifying characteristics of urban resilience to facilitate its understanding with a visual tool. Results demonstrate a way to operationalize the concept of resilience at a local scale integrating local stakeholders into a participative process.
The objective of this article is to propose a spatial decision support tool based on...
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