A Multi-Scale Framework for Flood Risk Assessment in Cultural Heritage Sites: The Apollo Temple in Aegina

Preserving cultural heritage sites demands risk management strategies that capture site-specific vulnerabilities at fine spatial resolutions. The present study introduces a novel framework for flood risk assessments that bridges large-scale hydrological modeling and sub-meter-level hydraulic simulations to provide enhanced insights into potential impacts. Our approach employs state-of-the-art Rain-on-Grid (RoG) hydraulic simulations, targeted field data collection, and high-resolution geometric documentation using UAV imagery and GNSS ground control points to account for detailed terrain characteristics. Within the scope of the Horizon Europe TRIQUETRA Project, we apply this framework to the Apollo temple in the archaeological site of Kolona on Aegina Island, Greece. A total of 945 vertical and 4900 oblique UAV images were processed following a multi-image photogrammetric workflow, to produce a digital surface model with a resolution of 1 cm. We then use this data to set up the RoG model and to analyze flood scenarios for various return periods to obtain sub-meter-level hydraulic parameters and evaluate how the site’s vulnerability to flood intrusion might change if its existing wall obstructions were to be extended. The proposed methodology offers a robust means to extract high-resolution boundary conditions for advanced computational fluid dynamics simulations. Using our multi-scale workflow, relevant stakeholders can enhance their data-driven decision-making for cultural heritage protection and preservation purposes. Acknowledgments: This work is based on procedures and tasks implemented within the project “Toolbox for assessing and mitigating Climate Change risks and natural hazards threatening cultural heritage—TRIQUETRA”, which is a Project funded by the EU HE research and innovation program under GA No. 101094818.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-15
DOI
https://doi.org/10.5281/zenodo.17209225
Primary Topic
Gene expression and cancer classification
Type
article
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article

A Multi-Scale Framework for Flood Risk Assessment in Cultural Heritage Sites: The Apollo Temple in Aegina

Zenodo (CERN European Organization for Nuclear Research)
Gene expression and cancer classification
article

A Multi-Scale Framework for Flood Risk Assessment in Cultural Heritage Sites: The Apollo Temple in Aegina

article en

Abstract

Preserving cultural heritage sites demands risk management strategies that capture site-specific vulnerabilities at fine spatial resolutions. The present study introduces a novel framework for flood risk assessments that bridges large-scale hydrological modeling and sub-meter-level hydraulic simulations to provide enhanced insights into potential impacts. Our approach employs state-of-the-art Rain-on-Grid (RoG) hydraulic simulations, targeted field data collection, and high-resolution geometric documentation using UAV imagery and GNSS ground control points to account for detailed terrain characteristics. Within the scope of the Horizon Europe TRIQUETRA Project, we apply this framework to the Apollo temple in the archaeological site of Kolona on Aegina Island, Greece. A total of 945 vertical and 4900 oblique UAV images were processed following a multi-image photogrammetric workflow, to produce a digital surface model with a resolution of 1 cm. We then use this data to set up the RoG model and to analyze flood scenarios for various return periods to obtain sub-meter-level hydraulic parameters and evaluate how the site’s vulnerability to flood intrusion might change if its existing wall obstructions were to be extended. The proposed methodology offers a robust means to extract high-resolution boundary conditions for advanced computational fluid dynamics simulations. Using our multi-scale workflow, relevant stakeholders can enhance their data-driven decision-making for cultural heritage protection and preservation purposes. Acknowledgments: This work is based on procedures and tasks implemented within the project “Toolbox for assessing and mitigating Climate Change risks and natural hazards threatening cultural heritage—TRIQUETRA”, which is a Project funded by the EU HE research and innovation program under GA No. 101094818.

Zenodo (CERN European Organization for Nuclear Research)
National Technical University of Athens (GR)
Sustainable cities and communities
Openalex Percentile: Top 49%
Gene expression and cancer classification
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