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3D Morphodynamic Visualizations of Storm Impacts for Decision Support
Peter Stempel1, Ellie Nasr-Azadani1, Annette Grilli2
1Penn State University, Pennsylvania/USA.
Journal of Digital Landscape Architecture : Jodla
|August 12, 2025
Summary
Novel 3D morphodynamic visualizations reveal coastal landscape changes from storms, offering a more effective decision support tool than traditional flood visualizations for coastal managers. Further research is needed for widespread adoption.
Area of Science:
- Coastal geomorphology
- Environmental modeling
- Geographic Information Systems (GIS)
Background:
- Traditional 3D flood visualizations are widely used for storm impact communication and management decisions.
- Existing visualizations fail to represent physical landscape alterations, such as erosion, caused by storms.
- These physical changes significantly impact human infrastructure and ecological systems.
Purpose of the Study:
- To introduce novel 3D morphodynamic visualizations that illustrate storm-induced coastal morphology changes.
- To evaluate the potential of these new visualizations as superior decision support tools compared to flood visualizations, especially where shoreline change is critical.
- To explore the creation process, possibilities, and limitations of these visualizations for various scenarios.
Main Methods:
- Development of 3D morphodynamic visualization techniques.
- Modeling of storm, sea level, and mitigation scenarios.
- Comparative analysis of morphodynamic versus flood visualization outcomes.
Main Results:
- 3D morphodynamic visualizations depict significant physical changes to coastal morphology, differing markedly from flood visualizations.
- The visualizations clearly illustrate the profound impact of storms on coastal landscapes.
- Identified potential utility in sedimentary coastal environments.
Conclusions:
- 3D morphodynamic visualizations offer a more comprehensive understanding of storm impacts on coastal morphology.
- These visualizations show distinct outcomes compared to traditional flood visualizations, highlighting their value in specific contexts.
- Further experimentation is required due to the complexity and lack of established conventions for creating these visualizations.
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