Articles | Volume 20, issue 11
Nat. Hazards Earth Syst. Sci., 20, 2937–2941, 2020
https://doi.org/10.5194/nhess-20-2937-2020
Nat. Hazards Earth Syst. Sci., 20, 2937–2941, 2020
https://doi.org/10.5194/nhess-20-2937-2020
Brief communication
05 Nov 2020
Brief communication | 05 Nov 2020

Brief Communication: Simple-INSYDE, development of a new tool for flood damage evaluation from an existing synthetic model

Marta Galliani et al.

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Cited articles

Amadio, M., Scorzini, A. R., Carisi, F., Essenfelder, A. H., Domeneghetti, A., Mysiak, J., and Castellarin, A.: Testing empirical and synthetic flood damage models: the case of Italy, Nat. Hazards Earth Syst. Sci., 19, 661–678, https://doi.org/10.5194/nhess-19-661-2019, 2019. 
Dottori, F., Figueiredo, R., Martina, M. L. V., Molinari, D., and Scorzini, A. R.: INSYDE: a synthetic, probabilistic flood damage model based on explicit cost analysis, Nat. Hazards Earth Syst. Sci., 16, 2577–2591, https://doi.org/10.5194/nhess-16-2577-2016, 2016.  
Kreibich, H. and Dimitrova, B.: Assessment of damages caused by different flood types, WIT Transactions on Ecology and the Environment, 133, 3–11, https://doi.org/10.2495/FRIAR100011, 2010. 
Merz, B., Kreibich, H., Schwarze, R., and Thieken, A.: Review article “Assessment of economic flood damage”, Nat. Hazards Earth Syst. Sci., 10, 1697–1724, https://doi.org/10.5194/nhess-10-1697-2010, 2010. 
Molinari, D. and Scorzini, A.: On the influence of input data quality to flood damage estimation: The Performance of the INSYDE Model, Water, 9, 688, https://doi.org/10.3390/w9090688, 2017. 
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Short summary
INSYDE is a multivariable synthetic model for flood damage assessment of dwellings. The analysis and use of this model highlighted some weaknesses, linked to its complexity, that can undermine its usability and correct implementation. This study proposes a simplified version of INSYDE which maintains its multivariable and synthetic nature but has simpler mathematical formulations permitting an easier use and a direct analysis of the relation between damage and its explanatory variables.
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