Flood risk assessment of cultural heritage sites near lakes via advanced hydrodynamic modeling and digital technologies

M.J. Alexopoulos, T. Iliopoulou, P. Modé, D. Istrati, D. Koutsoyiannis, S. Królewicz, B. Graff, L. Kaczmarek, and W. Rączkowski, Flood risk assessment of cultural heritage sites near lakes via advanced hydrodynamic modeling and digital technologies, Results in Engineering, doi:10.1016/j.rineng.2025.107977, 2025.

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[English]

Cultural heritage flood risk assessments demand high-resolution, physics-based modeling frameworks capable of capturing complex terrain in diverse hydrological environments, and the subtle dynamics that threaten the relics. This study develops and applies such a framework at the lakeside archaeological site of Smuszewo, Poland, where flood hazards could arise from a combination of overland runoff and dynamic lake-stage fluctuations. To this end, we applied a high-resolution modeling approach combining overland terrain obtained via LidAR and drone photogrammetry, and a digitized lake bathymetric model, within a HEC-RAS 2D Rain-on-Grid framework that enables detailed simulation of runoff–lake interactions and site-specific flood scenarios across design storms. We evaluate three scenarios: (i) model calibration using a five-day rainfall-stage event, (ii) the hydraulic impact of including versus omitting explicit lake bathymetry, across five design storms (1–50-year return periods); and (iii) a margin-to-failure analysis simulating lake-level rise from 0.00 to +1.50 m. Results show that omitting bathymetry underestimates peak flows by up to 55 × for frequent storms due to artificial ponding on flat, dry-initiated surfaces (vs. realistic depths and wet cells enabling accurate volume propagation), whereas impact diminishes for the higher return periods. However, even under the worst-case scenario—an extreme storm on top of a +1.5 m lake-stage rise—more than 1 m of freeboard remains. Our findings demonstrate the critical role of multiscale, high-resolution terrain and physics-driven methods—and lay the groundwork for future digital-twin implementations, predictive maintenance strategies, and cloud-based simulations in cultural heritage flood-risk management.

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