Search and rescue at sea aided by hidden flow structures

Area of Science:

• Oceanography
• Fluid Dynamics
• Search and Rescue Technology

Background:

• Hundreds of fatalities occur annually due to maritime and aviation accidents at sea.
• Current Search and Rescue (SAR) algorithms face challenges in efficiently locating individuals or objects in the water.
• Existing flow diagnostics fail to identify critical short-term attractors in ocean surface velocity fields.

Purpose of the Study:

• To identify and characterize hidden features in ocean surface velocity data that act as attractors for floating objects.
• To assess the effectiveness of these features in improving Search and Rescue (SAR) operations and environmental hazard response.

Main Methods:

• Development of a method to compute Transient Attracting Profiles (TRAPs) from a single snapshot of ocean surface velocity data.
• Validation of TRAP effectiveness through three ocean field experiments using deployed drifters and manikins.
• Comparison of TRAP predictions with both measured and modeled ocean velocity fields.

Main Results:

• Transient Attracting Profiles (TRAPs) were successfully identified and computed from ocean surface velocity data.
• Experimental results demonstrated that TRAPs effectively attract deployed drifters and manikins, confirming their role as short-term attractors.
• TRAPs provide crucial information previously hidden by conventional flow diagnostics.

Conclusions:

• Transient Attracting Profiles (TRAPs) offer a novel and powerful tool for enhancing Search and Rescue (SAR) operations.
• The identification of TRAPs has significant implications for improving the efficiency of locating individuals and managing environmental disasters like oil spills.
• This research has the potential to save lives at sea and mitigate environmental damage.