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Markov-chain-inspired search for MH370.

P Miron1, F J Beron-Vera1, M J Olascoaga2

  • 1Department of Atmospheric Sciences, Rosenstiel School of Marine and Atmospheric Science, University of Miami, Miami, Florida 33149, USA.

Chaos (Woodbury, N.Y.)
|May 3, 2019
PubMed
Summary
This summary is machine-generated.

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Markov-chain models predict marine debris drift from flight MH370, helping to locate the crash site. Analysis of satellite data and debris locations constrains the crash zone to the Inmarsat arc near 25°S.

Area of Science:

  • Oceanography
  • Aerospace Engineering
  • Statistics

Background:

  • Flight MH370 disappeared on March 8, 2014, in the southeastern Indian Ocean.
  • The last known position was along the Inmarsat 7th ping arc after losing contact.
  • Marine debris has been found, offering clues to the aircraft's final location.

Purpose of the Study:

  • To probabilistically describe the drift of marine debris from flight MH370.
  • To constrain the potential crash site of flight MH370 using drift modeling.
  • To refine the search area for the missing aircraft.

Main Methods:

  • Constructed Markov-chain models based on discretized motion of surface drifting buoys.
  • Utilized global historical data banks of satellite-tracked buoys.

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  • Applied spectral analysis, Bayesian estimation, and most probable path computations.
  • Main Results:

    • The models successfully described marine debris drift patterns.
    • Constrained the probable crash site to the Inmarsat arc.
    • Identified a specific location near 25°S on the Inmarsat arc as the likely crash site.

    Conclusions:

    • Markov-chain models are effective tools for analyzing marine debris drift.
    • The study provides a refined estimate for the flight MH370 crash site.
    • This research aids in understanding oceanic drift phenomena and locating submerged aircraft.