Articles | Volume 24, issue 5
https://doi.org/10.5194/nhess-24-1681-2024
https://doi.org/10.5194/nhess-24-1681-2024
Research article
 | 
14 May 2024
Research article |  | 14 May 2024

The value of multi-source data for improved flood damage modelling with explicit input data uncertainty treatment: INSYDE 2.0

Mario Di Bacco, Daniela Molinari, and Anna Rita Scorzini

Related authors

Qualitative flood risk assessment for road and railway infrastructures: the experience of the MOVIDA project
Natasha Petruccelli, Luca Mantecchini, Alice Gallazzi, Daniela Molinari, Mohammed Hammouti, Marco Zazzeri, Simone Sterlacchini, Francesco Ballio, Armando Brath, and Alessio Domeneghetti
Proc. IAHS, 385, 407–413, https://doi.org/10.5194/piahs-385-407-2024,https://doi.org/10.5194/piahs-385-407-2024, 2024
Short summary
A conceptual model for the estimation of flood damage to power grids
Panagiotis Asaridis and Daniela Molinari
Adv. Geosci., 61, 1–21, https://doi.org/10.5194/adgeo-61-1-2023,https://doi.org/10.5194/adgeo-61-1-2023, 2023
Short summary
Invited perspectives: When research meets practice: challenges, opportunities, and suggestions from the implementation of the Floods Directive in the largest Italian river basin
Tommaso Simonelli, Laura Zoppi, Daniela Molinari, and Francesco Ballio
Nat. Hazards Earth Syst. Sci., 22, 1819–1823, https://doi.org/10.5194/nhess-22-1819-2022,https://doi.org/10.5194/nhess-22-1819-2022, 2022
Short summary
INSYDE-BE: adaptation of the INSYDE model to the Walloon region (Belgium)
Anna Rita Scorzini, Benjamin Dewals, Daniela Rodriguez Castro, Pierre Archambeau, and Daniela Molinari
Nat. Hazards Earth Syst. Sci., 22, 1743–1761, https://doi.org/10.5194/nhess-22-1743-2022,https://doi.org/10.5194/nhess-22-1743-2022, 2022
Short summary
Brief communication: Key papers of 20 years in Natural Hazards and Earth System Sciences
Animesh K. Gain, Yves Bühler, Pascal Haegeli, Daniela Molinari, Mario Parise, David J. Peres, Joaquim G. Pinto, Kai Schröter, Ricardo M. Trigo, María Carmen Llasat, and Heidi Kreibich
Nat. Hazards Earth Syst. Sci., 22, 985–993, https://doi.org/10.5194/nhess-22-985-2022,https://doi.org/10.5194/nhess-22-985-2022, 2022
Short summary

Related subject area

Hydrological Hazards
Precursors and pathways: dynamically informed extreme event forecasting demonstrated on the historic Emilia-Romagna 2023 flood
Joshua Dorrington, Marta Wenta, Federico Grazzini, Linus Magnusson, Frederic Vitart, and Christian M. Grams
Nat. Hazards Earth Syst. Sci., 24, 2995–3012, https://doi.org/10.5194/nhess-24-2995-2024,https://doi.org/10.5194/nhess-24-2995-2024, 2024
Short summary
Demonstrating the use of UNSEEN climate data for hydrological applications: case studies for extreme floods and droughts in England
Alison L. Kay, Nick Dunstone, Gillian Kay, Victoria A. Bell, and Jamie Hannaford
Nat. Hazards Earth Syst. Sci., 24, 2953–2970, https://doi.org/10.5194/nhess-24-2953-2024,https://doi.org/10.5194/nhess-24-2953-2024, 2024
Short summary
Exploring the use of seasonal forecasts to adapt flood insurance premiums
Viet Dung Nguyen, Jeroen Aerts, Max Tesselaar, Wouter Botzen, Heidi Kreibich, Lorenzo Alfieri, and Bruno Merz
Nat. Hazards Earth Syst. Sci., 24, 2923–2937, https://doi.org/10.5194/nhess-24-2923-2024,https://doi.org/10.5194/nhess-24-2923-2024, 2024
Short summary
Are 2D shallow-water solvers fast enough for early flood warning? A comparative assessment on the 2021 Ahr valley flood event
Shahin Khosh Bin Ghomash, Heiko Apel, and Daniel Caviedes-Voullième
Nat. Hazards Earth Syst. Sci., 24, 2857–2874, https://doi.org/10.5194/nhess-24-2857-2024,https://doi.org/10.5194/nhess-24-2857-2024, 2024
Short summary
Water depth estimate and flood extent enhancement for satellite-based inundation maps
Andrea Betterle and Peter Salamon
Nat. Hazards Earth Syst. Sci., 24, 2817–2836, https://doi.org/10.5194/nhess-24-2817-2024,https://doi.org/10.5194/nhess-24-2817-2024, 2024
Short summary

Cited articles

Albano, R., Sole, A., Adamowski, J., Perrone, A., and Inam, A.: Using FloodRisk GIS freeware for uncertainty analysis of direct economic flood damages in Italy, Int. J. Appl. Earth. Obs., 73, 220–229, https://doi.org/10.1016/j.jag.2018.06.019, 2018. 
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. 
Apel, H., Merz, B., and Thieken, A. H.: Quantification of uncertainties in flood risk assessments, Int. J. River Basin Manag., 6, 149–162, https://doi.org/10.1080/15715124.2008.9635344, 2008. 
Autorità di Bacino del Fiume Po: Aggiornamento e revisione del Piano di Gestione del Rischio di Alluvione – II ciclo (2021–2027), Final report, https://pianoalluvioni.adbpo.it/piano-gestione-rischio-alluvioni-2021/ (last access: 9 October 2023), 2022. 
Bhuyan, K., Van Westen, C., Wang, J., and Meena, S. R.: Mapping and characterising buildings for flood exposure analysis using open-source data and artificial intelligence, Nat. Hazards, 119, 805–835, https://doi.org/10.1007/s11069-022-05612-4, 2023. 
Download
Short summary
INSYDE 2.0 is a tool for modelling flood damage to residential buildings. By incorporating ultra-detailed survey and desk-based data, it improves the reliability and informativeness of damage assessments while addressing input data uncertainties.
Altmetrics
Final-revised paper
Preprint