Articles | Volume 18, issue 7
https://doi.org/10.5194/nhess-18-2057-2018
https://doi.org/10.5194/nhess-18-2057-2018
Research article
 | 
27 Jul 2018
Research article |  | 27 Jul 2018

Development and assessment of uni- and multivariable flood loss models for Emilia-Romagna (Italy)

Francesca Carisi, Kai Schröter, Alessio Domeneghetti, Heidi Kreibich, and Attilio Castellarin

Related authors

Are flood damage models converging to “reality”? Lessons learnt from a blind test
Daniela Molinari, Anna Rita Scorzini, Chiara Arrighi, Francesca Carisi, Fabio Castelli, Alessio Domeneghetti, Alice Gallazzi, Marta Galliani, Frédéric Grelot, Patric Kellermann, Heidi Kreibich, Guilherme S. Mohor, Markus Mosimann, Stephanie Natho, Claire Richert, Kai Schroeter, Annegret H. Thieken, Andreas Paul Zischg, and Francesco Ballio
Nat. Hazards Earth Syst. Sci., 20, 2997–3017, https://doi.org/10.5194/nhess-20-2997-2020,https://doi.org/10.5194/nhess-20-2997-2020, 2020
Short summary
Testing empirical and synthetic flood damage models: the case of Italy
Mattia Amadio, Anna Rita Scorzini, Francesca Carisi, Arthur H. Essenfelder, Alessio Domeneghetti, Jaroslav Mysiak, and Attilio Castellarin
Nat. Hazards Earth Syst. Sci., 19, 661–678, https://doi.org/10.5194/nhess-19-661-2019,https://doi.org/10.5194/nhess-19-661-2019, 2019
Short summary
Effects of anthropogenic land-subsidence on inundation dynamics: the case study of Ravenna, Italy
Francesca Carisi, Alessio Domeneghetti, and Attilio Castellarin
Proc. IAHS, 373, 161–166, https://doi.org/10.5194/piahs-373-161-2016,https://doi.org/10.5194/piahs-373-161-2016, 2016
Short summary
Simplified graphical tools for assessing flood-risk change over large flood-prone areas
F. Carisi, A. Domeneghetti, and A. Castellarin
Proc. IAHS, 370, 209–215, https://doi.org/10.5194/piahs-370-209-2015,https://doi.org/10.5194/piahs-370-209-2015, 2015
Short summary

Related subject area

Risk Assessment, Mitigation and Adaptation Strategies, Socioeconomic and Management Aspects
An evaluation of the alignment of drought policy and planning guidelines with the contemporary disaster risk reduction agenda
Ilyas Masih
Nat. Hazards Earth Syst. Sci., 25, 2155–2178, https://doi.org/10.5194/nhess-25-2155-2025,https://doi.org/10.5194/nhess-25-2155-2025, 2025
Short summary
Qualitative risk assessment of sensitive infrastructures at the local level: flooding and heavy rainfall
Alessa Truedinger, Joern Birkmann, Mark Fleischhauer, and Celso Ferreira
Nat. Hazards Earth Syst. Sci., 25, 2097–2113, https://doi.org/10.5194/nhess-25-2097-2025,https://doi.org/10.5194/nhess-25-2097-2025, 2025
Short summary
Measuring extremes-driven direct biophysical impacts in agricultural drought damages
Mansi Nagpal, Jasmin Heilemann, Luis Samaniego, Bernd Klauer, Erik Gawel, and Christian Klassert
Nat. Hazards Earth Syst. Sci., 25, 2115–2135, https://doi.org/10.5194/nhess-25-2115-2025,https://doi.org/10.5194/nhess-25-2115-2025, 2025
Short summary
Brief communication: Bridging the data gap – a call to enhance the representation of global coastal flood protection
Nicole van Maanen, Joël J.-F. G. De Plaen, Timothy Tiggeloven, Maria Luisa Colmenares, Philip J. Ward, Paolo Scussolini, and Elco Koks
Nat. Hazards Earth Syst. Sci., 25, 2075–2080, https://doi.org/10.5194/nhess-25-2075-2025,https://doi.org/10.5194/nhess-25-2075-2025, 2025
Short summary
Disaster management following the great Kahramanmaraş earthquakes in 2023, Türkiye
Bektaş Sarı
Nat. Hazards Earth Syst. Sci., 25, 2031–2043, https://doi.org/10.5194/nhess-25-2031-2025,https://doi.org/10.5194/nhess-25-2031-2025, 2025
Short summary

Cited articles

Agenzia delle Entrate: Banca dati delle quotazioni immobiliari (Real estate quotation database), https://wwwt.agenziaentrate.gov.it/servizi/Consultazione/ricerca.htm, last access: July 2018. a
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. a, b, c, d, e, f
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. a, b, c
Arrighi, C., Brugioni, M., Castelli, F., Franceschini, S., and Mazzanti, B.: Urban micro-scale flood risk estimation with parsimonious hydraulic modelling and census data, Nat. Hazards Earth Syst. Sci., 13, 1375–1391, https://doi.org/10.5194/nhess-13-1375-2013, 2013. a
Ballio, F., Molinari, D., Minucci, G., Mazuran, M., Arias Munoz, C., Menoni, S., Atun, F., Ardagna, D., Berni, N., and Pandolfo, C.: The RISPOSTA procedure for the collection, storage and analysis of high quality, consistent and reliable damage data in the aftermath of floods, J. Flood Risk Manage., 11, S604–S615, https://doi.org/10.1111/jfr3.12216, 2015. a, b
Download
Short summary
By analyzing a comprehensive loss dataset of affected private households after a recent river flood event in northern Italy, we tackle the problem of flood damage estimation in Emilia-Romagna (Italy). We develop empirical uni- and multivariable loss models for the residential sector. Outcomes highlight that the latter seem to outperform the former and, in addition, results show a higher accuracy of univariable models based on local data compared to literature ones derived for different contexts.
Share
Altmetrics
Final-revised paper
Preprint