Re-Evaluation of Bermuda Triangle Hypothesis on Physical, Hydrodynamic, and Geophysical Analysis of Vortex Dynamics in the Western North Atlantic

This paper presents a formal fluid dynamic and transport phenomena evaluation of the relationship between force mechanisms and vortex motion in the western North Atlantic. It is a domain conventionally designated as the Bermuda Triangle. The study rigorously evaluates whether empirical or theoretical physical evidence supports the existence of unique, localized forces or supernatural vortex phenomena capable of causing maritime and aviation disappearances. Applying foundational principles of continuum mechanics, geophysical fluid dynamics, and atmospheric dynamics, the paper had model canonical vortex structures including forced, free, and Rankine combined vortices and scale them against natural rotational flows such as mesoscale ocean eddies and tropical cyclones. Furthermore, the investigation addresses critical physical gaps frequently omitted from traditional literatures, defining mathematical formulations for surface wind stress vectors, two-phase methane hydrate ebullient density reductions, non-linear Schrödinger rogue wave interactions, microburst downburst mechanics, and agonic geomagnetic drift dynamics. Mapping these mathematical formulations directly to historical incidents confirms that open-ocean boundary conditions cannot sustain stationary, macro-scale forced vortices or downward hydrodynamic suction fields. Instead, vessel disappearances and the absence of wreckage are fully described by Rankine storm-core turbulence, non-linear wave slamming, buoyancy destabilization, and rapid debris advection along the Gulf Stream's high-velocity vector (𝑉𝑚𝑎𝑥 > 2.5 m/s). In conclusion, while multi-physics environmental force vectors create hazardous operational conditions, no anomalous physical forces exist within the region and there is no scientifically verified evidence of localized or supernatural vortex forces. Observed losses align strictly with standard statistical risk distributions in heavily navigated, high-energy transport corridors.