Articles | Volume 24, issue 12
https://doi.org/10.5194/nhess-24-4317-2024
https://doi.org/10.5194/nhess-24-4317-2024
Research article
 | 
05 Dec 2024
Research article |  | 05 Dec 2024

Tangible and intangible ex post assessment of flood-induced damage to cultural heritage

Claudia De Lucia, Michele Amaddii, and Chiara Arrighi

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Cited articles

Adeyemo, O.J., Maksimovic, C., Booyan-Aaronnet, S., Leitao, J., Butler, D., and Makropoulos, C.: Sensitivity analysis of surface runoff generation for Pluvial Urban Flooding, in: 11th International Conference on Urban Drainage, 31 August–5 September 2008, Edinburgh, Scotland, UK, https://api.semanticscholar.org/CorpusID:128436486 (last access: 28 November 2024), 2008. 
Alexandrakis, G., Manasakis, C., and Kampanis, N. A.: Economic and societal impacts on cultural heritage sites, resulting from natural effects and climate change, Heritage, 2, 279–305, https://doi.org/10.3390/heritage2010019, 2019. 
Al-Kindi, K. M. and Alabri, Z.: Investigating the role of the key conditioning factors in flood susceptibility mapping through machine learning approaches, Earth Syst. Environ., 8, 63–81, https://doi.org/10.1007/s41748-023-00369-7, 2024. 
Amaddii, M., Rosatti, G., Zugliani, D., Marzini, L., and Disperati, L.: Back-analysis of the Abbadia San Salvatore (Mt. Amiata, Italy) debris flow of 27–28 July 2019: an integrated multidisciplinary approach to a challenging case study, Geosciences, 12, 385, https://doi.org/10.3390/geosciences12100385, 2022. 
Amaddii, M., Rosatti, G., Zugliani, D., Marzini, L., and Disperati, L.: Modelling stony debris flows involving culverted streams: the Abbadia San Salvatore case (Mt. Amiata, Italy), Rend. Online Soc. Geol. It., 61, 108–115, https://doi.org/10.3301/ROL.2023.55, 2023. 
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This work describes the flood damage to cultural heritage (CH) that occurred in September 2022 in central Italy. Datasets related to flood impacts on cultural heritage are rare, and this work aims at highlighting both tangible and intangible aspects and their correlation with physical characteristics of flood (i.e. water depth and flow velocity). The results show that current knowledge and datasets are inadequate for risk assessment of CH.
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