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Submerse: Visualizing Storm Surge Flooding Simulations in Immersive Display Ecologies.

Saeed Boorboor, Yoonsang Kim, Ping Hu

    IEEE Transactions on Visualization and Computer Graphics
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    Summary

    Submerse visualizes flood simulations on large displays, enhancing disaster preparedness. This framework reconstructs 3D scenes and uses novel interaction techniques for effective decision-making.

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    Area of Science:

    • Computer Science
    • Atmospheric Science
    • Geographic Information Systems

    Background:

    • Effective visualization of complex flood simulation data is crucial for disaster management and urban planning.
    • Existing visualization tools often struggle with large datasets and immersive environments, limiting their practical application.

    Purpose of the Study:

    • To develop and evaluate Submerse, an end-to-end framework for visualizing flood scenarios on large, immersive display systems.
    • To enhance decision-making for emergency managers and stakeholders through interactive and detailed flood visualizations.

    Main Methods:

    • Reconstruction of surface meshes from flood simulation data and integration with geographical information (terrain, buildings).
    • Optimization techniques including adaptive grids (dynamic quadtrees) and level-of-detail rendering for large datasets.
    • Development of novel interaction methods: automatic viewpoint navigation and an AR-based focus+context technique.

    Main Results:

    • Successful reconstruction of to-scale 3D virtual scenes incorporating diverse geographical data.
    • Demonstrated optimization for computation and memory performance with large simulation datasets.
    • Validated effectiveness through workshops with emergency managers and domain experts using a superstorm flooding scenario.

    Conclusions:

    • Submerse provides an effective end-to-end solution for visualizing complex flood simulations in immersive environments.
    • The framework's novel interaction techniques significantly improve the analysis and decision-making capabilities for disaster management.
    • The system's utility was confirmed in realistic scenarios, highlighting its potential for real-world applications.