Articles | Volume 22, issue 5
https://doi.org/10.5194/nhess-22-1743-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-22-1743-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
24 May 2022
Research article |
| 24 May 2022
| 24 May 2022
INSYDE-BE: adaptation of the INSYDE model to the Walloon region (Belgium)
Anna Rita Scorzini
CORRESPONDING AUTHOR
Department of Civil, Environmental and Architectural Engineering,
University of L'Aquila, L'Aquila, 67100, Italy
Benjamin Dewals
Hydraulics in Environmental and Civil Engineering (HECE),
University of Liège, Liège, 4000, Belgium
Daniela Rodriguez Castro
Hydraulics in Environmental and Civil Engineering (HECE),
University of Liège, Liège, 4000, Belgium
Department of Civil and Environmental Engineering, Politecnico di
Milano, Milan, 20133, Italy
Pierre Archambeau
Hydraulics in Environmental and Civil Engineering (HECE),
University of Liège, Liège, 4000, Belgium
Daniela Molinari
Department of Civil and Environmental Engineering, Politecnico di
Milano, Milan, 20133, Italy
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Kai Schröter, Daniela Molinari, Michael Kunz, and Heidi Kreibich
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Daniela Molinari, Karin De Bruijn, Jessica Castillo, Giuseppe T. Aronica, and Laurens M. Bouwer
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Preprint retracted
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Francesco Dottori, Rui Figueiredo, Mario L. V. Martina, Daniela Molinari, and Anna Rita Scorzini
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Short summary
This study presents a replicable procedure for the adaptation of synthetic, multi-variable flood damage models among countries that may have different hazard and vulnerability features. The procedure is exemplified here for the case of adaptation to the Belgian context of a flood damage model, INSYDE, for the residential sector, originally developed for Italy. The study describes necessary changes in model assumptions and input parameters to properly represent the new context of implementation.
This study presents a replicable procedure for the adaptation of synthetic, multi-variable flood...
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