Articles | Volume 22, issue 11
Nat. Hazards Earth Syst. Sci., 22, 3543–3569, 2022
https://doi.org/10.5194/nhess-22-3543-2022
Nat. Hazards Earth Syst. Sci., 22, 3543–3569, 2022
https://doi.org/10.5194/nhess-22-3543-2022
Research article
01 Nov 2022
Research article | 01 Nov 2022

Building-scale flood loss estimation through vulnerability pattern characterization: application to an urban flood in Milan, Italy

Andrea Taramelli et al.

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Cited articles

Akbas, S., Blahut, J., and Sterlacchini, S.: Critical assessment of existing physical vulnerability estimation approaches for debris flows, in: International Conference – Landslide processes: from geomorphological mappingto dynamic modelling, edited by: Malet, J., Remaître, A., and Bogaard, T., CERG Editions, Strasbourg, 229–233, 2009. 
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. 
Arrighi, C., Mazzanti, B., Pistone, F., and Castelli, F.: Empirical flash flood vulnerability functions for residential buildings, SN Appl. Sci., 2, 1–12, https://doi.org/10.1007/s42452-020-2696-1, 2020. 
Balica, S. F., Douben, N., and Wright, N. G.: Flood vulnerability indices at varying spatial scales, Water Sci. Technol., 60, 2571–2580, https://doi.org/10.2166/wst.2009.183, 2009. 
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Short summary
This work aims to support decision-making processes to prioritize effective interventions for flood risk reduction and mitigation for the implementation of flood risk management concepts in urban areas. Our findings provide new insights into vulnerability spatialization of urban flood events for the residential sector, demonstrating that the nature of flood pathways varies spatially and is influenced by landscape characteristics, as well as building features.
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