PSI - Issue 84

Luciano Pavesi et al. / Procedia Structural Integrity 84 (2026) 583–590

590

Karagiannis, G. M., Turksezer, Z. I., Alfieri, L., Feyen, L., & Krausmann, E. (2017). Climate change and critical infrastructure–floods. EUR Scientific and Technical Research Reports . Luxembourg: Publications Office of the European Union. Khanh, D. N., Tsumura, Y., Sasaki, O., Shiraishi, K., Akimoto, D., Yamazaki, D., et al. (2025). Mapping the world's river levees: A hyper-resolution levee database based on digital elevation models. Geophysical Research Letters , 52, e2024GL114121. Madakumbura, G. D., Kim, H., Utsumi, N., Shiogama, H., Fischer, E. M., Seland, Ø., ... & Oki, T. (2019). Event-to-event intensification of the hydrologic cycle from 1.5 C to a 2 C warmer world. Scientific Reports , 9(1), 3483. Marco, D. R. (2012). Decision-making errors and socio-political disputes over the Vajont dam disaster, Disaster Advances , 5(3), 144–152, 2012. Markonis, Y., Papalexiou, S. M., Martinkova, M., & Hanel, M. (2019). Assessment of water cycle intensification over land using a multisource global gridded precipitation dataset. Journal of Geophysical Research: Atmospheres , 124(21), 11175-11187. Moody's, (2023). An integrated approach to evaluate population exposure to inland and coastal flooding. https://www.moodys.com/web/en/us/insights/resources/an-integrated-approach-to-evaluate-population-exposure-to-inland-and-coastal flooding.pdf Pavesi, L., D'Angelo, C., Volpi, E., & Fiori, A. (2022). RESCUE: A geomorphology ‐ based, hydrologic ‐ hydraulic model for large ‐ scale inundation mapping. Journal of Flood Risk Management , 15(4), e12841. Pavesi, L., Volpi, E., & Fiori, A. (2024). Flood risk assessment through large-scale modeling under uncertainty. Natural Hazards and Earth System Sciences , 24, 4507–4522. Rentschler, J., Salhab, M. & Jafino, B.A. (2022). Flood exposure and poverty in 188 countries. Nature Communication , 13, 3527. Rogers, J.S., Maneta, M.P., Sain, S.R. et al. (2025). The role of climate and population change in global flood exposure and vulnerability. Nature Communications , 16, 1287. Sasaki, O., Tsumura, Y., Yamada, M., & Hirabayashi, Y. (2023). Automatic levee detection using a high- resolution DEM− Case study in Kinu river basin, Japan. Hydrological Research Letters , 17(1), 9-14. Seneviratne, S. I., Zhang, X., Adnan, M., Badi, W., Dereczynski, C., Luca, A. D., ... & Allan, R. (2021). Weather and climate extreme events in a changing climate. https://www.ipcc.ch/report/ar6/wg1/downloads/report/IPCC_AR6_WGI_Chapter11.pdf Tapete, D., Traviglia, A., Delpozzo, E., Cigna, F. (2021). Regional-Scale Systematic Mapping of Archaeological Mounds and Detection of Looting Using COSMO-SkyMed High Resolution DEM and Satellite Imagery. Remote Sensing , 13(16), 3106. Wassmer, J., Bryant, S., Schimansky, P., Keegan, L. T., Pregnolato, M., Kurths, J., ... & Merz, B. (2025). Unveiling hidden risks in healthcare from flood-induced transportation disruption in Germany. Communications Earth & Environment , 6(1), 676. Wing, O. E., Bates, P. D., Neal, J. C., Sampson, C. C., Smith, A. M., Quinn, N., ... & Krajewski, W. F. (2019). A new automated method for improved flood defense representation in large ‐ scale hydraulic models. Water Resources Research , 55(12), 11007-11034. Winsemius, H. C., Aerts, J. C., Van Beek, L. P., Bierkens, M. F., Bouwman, A., Jongman, B., ... & Ward, P. J. (2016). Global drivers of future river flood risk. Nature Climate Change , 6(4), 381-385. Zheng, X., Tarboton, D. G., Maidment, D. R., Liu, Y. Y., & Passalacqua, P. (2018). River channel geometry and rating curve estimation using height above the nearest drainage. Journal of the American Water Resources Association , 54(4), 785–806.