Articles | Volume 20, issue 4
https://doi.org/10.5194/nhess-20-1049-2020
https://doi.org/10.5194/nhess-20-1049-2020
Research article
 | 
21 Apr 2020
Research article |  | 21 Apr 2020

A spatial decision support system for enhancing resilience to floods: bridging resilience modelling and geovisualization techniques

Charlotte Heinzlef, Vincent Becue, and Damien Serre

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Cited articles

100 Resilient Cities: The City Resilience Framework, available at: https://www.100resilientcities.org/resources/ (last access: 1 February 2020), 2015. 
Aerts, J. C. J. H., Lin, N., Botzen, W., Emanuel, K., and de Moel, H.: Low-Probability Flood Risk Modeling for New York City: Low-Probability Flood Risk Modeling for New York City, Risk Anal., 33, 772–788, https://doi.org/10.1111/risa.12008, 2013. 
Apel, H., Aronica, G. T., Kreibich, H., and Thieken, A. H.: Flood risk analyses – how detailed do we need to be?, Nat. Hazards, 49, 79–98, https://doi.org/10.1007/s11069-008-9277-8, 2009. 
Bakkensen, L. A., Fox-Lent, C., Read, L. K., and Linkov, I.: Validating Resilienceand Vulnerability Indices in the Context of Natural Disasters: Validating Resilience and Vulnerability Indices, Risk Anal., 37, 982–1004, https://doi.org/10.1111/risa.12677, 2017. 
Barroca, B. and Serre, D.: Risks revealed by cartography – cartography renewed by the geovisualization of risks, Int. J. Cartogr., 4, 1–3, https://doi.org/10.1080/23729333.2018.1444376, 2018. 
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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.
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