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Run Watchers: Automatic Simulation-Based Decision Support in Flood Management.

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    This summary is machine-generated.

    This study presents a faster simulation method for flood protection planning using automated parallel runs. This approach improves efficiency and provides clear visualizations of protection strategies and decisions.

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    Area of Science:

    • Environmental Engineering
    • Computer Science
    • Risk Management

    Background:

    • Traditional flood protection planning is computationally intensive and requires extensive expert input.
    • Existing methods struggle with exhaustive search and expert supervision, leading to inefficiencies.

    Purpose of the Study:

    • To introduce a novel simulation-based approach for designing flood protection plans.
    • To overcome the computational and supervisory limitations of current flood protection strategies.

    Main Methods:

    • Developed an automated control system for multiple parallel simulation runs, termed Run Watchers.
    • Implemented domain-specific rules for monitoring, terminating, and initiating simulation runs.
    • Utilized interactive, clustered timelines and automated storyboards for visualizing decisions and plans.

    Main Results:

    • Achieved more efficient search space traversal and performance improvements through state re-use and early termination.
    • Generated complex decision trees and visualized them effectively.
    • Produced automated storyboards to explain protection plans and justify decisions, including unprotected buildings.

    Conclusions:

    • The proposed simulation-based approach offers a faster and more efficient alternative for flood protection planning.
    • Automated control and visualization tools enhance the understanding and justification of complex protection strategies.
    • The method was successfully evaluated with domain experts, indicating practical applicability.