Articles | Volume 16, issue 12
https://doi.org/10.5194/nhess-16-2577-2016
https://doi.org/10.5194/nhess-16-2577-2016
Research article
 | 
02 Dec 2016
Research article |  | 02 Dec 2016

INSYDE: a synthetic, probabilistic flood damage model based on explicit cost analysis

Francesco Dottori, Rui Figueiredo, Mario L. V. Martina, Daniela Molinari, and Anna Rita Scorzini

Related authors

Impact-based flood forecasting in the Greater Horn of Africa
Lorenzo Alfieri, Andrea Libertino, Lorenzo Campo, Francesco Dottori, Simone Gabellani, Tatiana Ghizzoni, Alessandro Masoero, Lauro Rossi, Roberto Rudari, Nicola Testa, Eva Trasforini, Ahmed Amdihun, Jully Ouma, Luca Rossi, Yves Tramblay, Huan Wu, and Marco Massabò
Nat. Hazards Earth Syst. Sci., 24, 199–224, https://doi.org/10.5194/nhess-24-199-2024,https://doi.org/10.5194/nhess-24-199-2024, 2024
Short summary
A new dataset of river flood hazard maps for Europe and the Mediterranean Basin
Francesco Dottori, Lorenzo Alfieri, Alessandra Bianchi, Jon Skoien, and Peter Salamon
Earth Syst. Sci. Data, 14, 1549–1569, https://doi.org/10.5194/essd-14-1549-2022,https://doi.org/10.5194/essd-14-1549-2022, 2022
Short summary
Compound flood impact forecasting: integrating fluvial and flash flood impact assessments into a unified system
Josias Láng-Ritter, Marc Berenguer, Francesco Dottori, Milan Kalas, and Daniel Sempere-Torres
Hydrol. Earth Syst. Sci., 26, 689–709, https://doi.org/10.5194/hess-26-689-2022,https://doi.org/10.5194/hess-26-689-2022, 2022
Short summary
Flood risk assessment of the European road network
Kees C. H. van Ginkel, Francesco Dottori, Lorenzo Alfieri, Luc Feyen, and Elco E. Koks
Nat. Hazards Earth Syst. Sci., 21, 1011–1027, https://doi.org/10.5194/nhess-21-1011-2021,https://doi.org/10.5194/nhess-21-1011-2021, 2021
Short summary
An integrated hydrological and hydraulic modelling approach for the flood risk assessment over Po river basin
Rita Nogherotto, Adriano Fantini, Francesca Raffaele, Fabio Di Sante, Francesco Dottori, Erika Coppola, and Filippo Giorgi
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2019-356,https://doi.org/10.5194/nhess-2019-356, 2019
Revised manuscript not accepted

Related subject area

Hydrological Hazards
Assessing LISFLOOD-FP with the next-generation digital elevation model FABDEM using household survey and remote sensing data in the Central Highlands of Vietnam
Laurence Hawker, Jeffrey Neal, James Savage, Thomas Kirkpatrick, Rachel Lord, Yanos Zylberberg, Andre Groeger, Truong Dang Thuy, Sean Fox, Felix Agyemang, and Pham Khanh Nam
Nat. Hazards Earth Syst. Sci., 24, 539–566, https://doi.org/10.5194/nhess-24-539-2024,https://doi.org/10.5194/nhess-24-539-2024, 2024
Short summary
CRHyME (Climatic Rainfall Hydrogeological Modelling Experiment): a new model for geo-hydrological hazard assessment at the basin scale
Andrea Abbate, Leonardo Mancusi, Francesco Apadula, Antonella Frigerio, Monica Papini, and Laura Longoni
Nat. Hazards Earth Syst. Sci., 24, 501–537, https://doi.org/10.5194/nhess-24-501-2024,https://doi.org/10.5194/nhess-24-501-2024, 2024
Short summary
Current and future rainfall-driven flood risk from hurricanes in Puerto Rico under 1.5 and 2 °C climate change
Leanne Archer, Jeffrey Neal, Paul Bates, Emily Vosper, Dereka Carroll, Jeison Sosa, and Daniel Mitchell
Nat. Hazards Earth Syst. Sci., 24, 375–396, https://doi.org/10.5194/nhess-24-375-2024,https://doi.org/10.5194/nhess-24-375-2024, 2024
Short summary
Using integrated hydrological–hydraulic modelling and global data sources to analyse the February 2023 floods in the Umbeluzi Catchment (Mozambique)
Luis Cea, Manuel Álvarez, and Jerónimo Puertas
Nat. Hazards Earth Syst. Sci., 24, 225–243, https://doi.org/10.5194/nhess-24-225-2024,https://doi.org/10.5194/nhess-24-225-2024, 2024
Short summary
Impact-based flood forecasting in the Greater Horn of Africa
Lorenzo Alfieri, Andrea Libertino, Lorenzo Campo, Francesco Dottori, Simone Gabellani, Tatiana Ghizzoni, Alessandro Masoero, Lauro Rossi, Roberto Rudari, Nicola Testa, Eva Trasforini, Ahmed Amdihun, Jully Ouma, Luca Rossi, Yves Tramblay, Huan Wu, and Marco Massabò
Nat. Hazards Earth Syst. Sci., 24, 199–224, https://doi.org/10.5194/nhess-24-199-2024,https://doi.org/10.5194/nhess-24-199-2024, 2024
Short summary

Cited articles

André, C., Monfort, D., Bouzit, M., and Vinchon, C.: Contribution of insurance data to cost assessment of coastal flood damage to residential buildings: insights gained from Johanna (2008) and Xynthia (2010) storm events, Nat. Hazards Earth Syst. Sci., 13, 2003–2012, https://doi.org/10.5194/nhess-13-2003-2013, 2013.
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.
Bouwer, L. M., Papyrakis, E., Poussin, J., Pfurtscheller, C., and Thieken, A. H.: The Costing of Measures for Natural Hazard Mitigation in Europe, Natural Hazards Review, 15, 04014010, https://doi.org/10.1061/(ASCE)NH.1527-6996.0000133, 2013.
Bubeck, P. and Kreibich, H.: Natural Hazards: direct costs and losses due to the disruption of production processes, CONHAZ, Report WP1, D1.2, 2011.
Cammerer, H., Thieken, A. H., and Lammel, J.: Adaptability and transferability of flood loss functions in residential areas, Nat. Hazards Earth Syst. Sci., 13, 3063–3081, https://doi.org/10.5194/nhess-13-3063-2013, 2013.
Download
Short summary
INSYDE is a new synthetic flood damage model based on a component-by-component analysis of physical damage to buildings. The damage functions are designed using an expert-based approach with the support of existing scientific and technical literature, loss adjustment studies, and damage surveys. The model structure is designed to be transparent and flexible, and therefore it can be applied in different geographical contexts.
Altmetrics
Final-revised paper
Preprint