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.

Related authors

Cost-benefit analysis of coastal flood defence measures in the North Adriatic Sea
Mattia Amadio, Arthur H. Essenfelder, Stefano Bagli, Sepehr Marzi, Paolo Mazzoli, Jaroslav Mysiak, and Stephen Roberts
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2020-414,https://doi.org/10.5194/nhess-2020-414, 2021
Preprint under review for NHESS
Short summary
Flood loss modelling with FLF-IT: a new flood loss function for Italian residential structures
Roozbeh Hasanzadeh Nafari, Mattia Amadio, Tuan Ngo, and Jaroslav Mysiak
Nat. Hazards Earth Syst. Sci., 17, 1047–1059, https://doi.org/10.5194/nhess-17-1047-2017,https://doi.org/10.5194/nhess-17-1047-2017, 2017
Short summary

Related subject area

Risk Assessment, Mitigation and Adaptation Strategies, Socioeconomic and Management Aspects
Stochastic system dynamics modelling for climate change water scarcity assessment of a reservoir in the Italian Alps
Stefano Terzi, Janez Sušnik, Stefan Schneiderbauer, Silvia Torresan, and Andrea Critto
Nat. Hazards Earth Syst. Sci., 21, 3519–3537, https://doi.org/10.5194/nhess-21-3519-2021,https://doi.org/10.5194/nhess-21-3519-2021, 2021
Short summary
Multiple hazards and risk perceptions over time: the availability heuristic in Italy and Sweden under COVID-19
Giuliano Di Baldassarre, Elena Mondino, Maria Rusca, Emanuele Del Giudice, Johanna Mård, Elena Ridolfi, Anna Scolobig, and Elena Raffetti
Nat. Hazards Earth Syst. Sci., 21, 3439–3447, https://doi.org/10.5194/nhess-21-3439-2021,https://doi.org/10.5194/nhess-21-3439-2021, 2021
Short summary
Review article: Mapping the adaptation solution space – lessons from Jakarta
Mia Wannewitz and Matthias Garschagen
Nat. Hazards Earth Syst. Sci., 21, 3285–3322, https://doi.org/10.5194/nhess-21-3285-2021,https://doi.org/10.5194/nhess-21-3285-2021, 2021
Short summary
Risk perception of local stakeholders on natural hazards: implications for theory and practice
Mihai Ciprian Mărgărint, Mihai Niculiță, Giulia Roder, and Paolo Tarolli
Nat. Hazards Earth Syst. Sci., 21, 3251–3283, https://doi.org/10.5194/nhess-21-3251-2021,https://doi.org/10.5194/nhess-21-3251-2021, 2021
Short summary
Brief communication: Effective earthquake early warning systems: appropriate messaging and public awareness roles
Meng Zhang, Xue Qiao, Barnabas C. Seyler, Baofeng Di, Yuan Wang, and Ya Tang
Nat. Hazards Earth Syst. Sci., 21, 3243–3250, https://doi.org/10.5194/nhess-21-3243-2021,https://doi.org/10.5194/nhess-21-3243-2021, 2021
Short summary

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.
Altmetrics
Final-revised paper
Preprint