Abstract
Abstract. Accurate flood damage modelling is essential to estimate the potential impact of floods and to develop effective mitigation strategies. However, flood damage models rely on diverse sources of hazard, exposure and vulnerability data, which are often incomplete, inconsistent or totally missing. These issues with data quality or availability introduce uncertainties into the modelling process and affect the final risk estimations. In this study, we present INSYDE 2.0, a flood damage modelling tool that integrates detailed survey and desk-based data for enhanced reliability and informativeness of flood damage predictions, including an explicit representation of the effect of uncertainties arising from incomplete knowledge of the variables characterising the system under investigation.
Reference47 articles.
1. 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.
2. 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.
3. 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.
4. 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.
5. 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.