Articles | Volume 19, issue 3
Nat. Hazards Earth Syst. Sci., 19, 661–678, 2019
https://doi.org/10.5194/nhess-19-661-2019

Special issue: Flood risk assessment and management

Nat. Hazards Earth Syst. Sci., 19, 661–678, 2019
https://doi.org/10.5194/nhess-19-661-2019

Research article 29 Mar 2019

Research article | 29 Mar 2019

Testing empirical and synthetic flood damage models: the case of Italy

Mattia Amadio et al.

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Cited articles

AdBPo: Caratteristiche del bacino del fiume Po e primo esame dell'impatto ambientale delle attività umane sulle risorse idriche, Autorità di Bacino del Fiume Po, Po River Basin Authority, available at: ahttp://adbpo.gov.it/ (last access: 21 March 2019), 2006. 
Agenzia delle Entrate: Osservatorio del Mercato Immobiliare – Quotazioni zone OMI, available at: http://www.agenziaentrate.gov.it/wps/content/Nsilib/Nsi/Documentazione/omi/Banche+dati/Quotazioni+immobiliari/ (last access: 1 July 2015), 2018. 
Alfieri, L., Feyen, L., Salamon, P., Thielen, J., Bianchi, A., Dottori, F., and Burek, P.: Modelling the socio-economic impact of river floods in Europe, Nat. Hazards Earth Syst. Sci., 16, 1401–1411, https://doi.org/10.5194/nhess-16-1401-2016, 2016. 
Amadio, M., Mysiak, J., Carrera, L., and Koks, E.: Improving flood damage assessment models in Italy, Nat. Hazards, 82, 2075–2088, https://doi.org/10.1007/s11069-016-2286-0, 2016. 
ANIA – Associazione Nazionale fra le Imprese Assicuratrici: Le alluvioni e la protezione delle abitazioni, available at: http://www.ania.it/it/index.html (last access: 21 March 2019), 2015. 
Short summary
Flood risk management relies on assessments performed using flood loss models of different complexities. We compared the performances of expert-based and empirical damage models on three major flood events in northern Italy. Our findings suggest that multivariate models have better potential to provide reliable damage estimates if extensive ancillary characterisation data are available. Expert-based approaches are better suited for transferability compared to empirically based approaches.
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