On Predicting the Person-in-Water Drift for Search and Rescue

Abstract

Search and rescue of persons in distress on the high seas requires the capability to accurately predict the position of the survivors. The current approaches on drift prediction are based on an empirical correlation between wind speed and person motion from limited field data. There is also no drift data available for person wearing survival suit. Consequently, there is not sufficient data for accurate prediction and thus have complicated the search and rescue operation. A study is being undertaken at Florida Atlantic University in which the essential effects of environmental forces and person-in-water characteristics will be properly accounted for. The study is intended to provide a theoretical framework and a better understanding of the dynamics of drift, and will thus lead to a reliable model of drift prediction and improved efficiency in search and rescue mission. The study consists of the following components: The development of a mathematical model for the drift prediction problem, laboratory studies of drift forces and field experiments to calibrate the mathematical models and to verify the model prediction. Leeway, Drift, Person- in-water, Search and rescue.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1993
Accession Number
ADA268083

Entities

People

  • Tsung-chow Su

Organizations

  • Florida Atlantic University

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Human Systems
  • Space

DTIC Thesaurus Topics

  • Aerodynamic Characteristics
  • Boundary Layer
  • Coast Guard
  • Computational Fluid Dynamics
  • Engineering
  • Environmental Monitoring
  • Fluid Dynamics
  • Fluid Flow
  • Fluid Mechanics
  • Life Rafts
  • Measurement
  • Mechanical Properties
  • Mechanics
  • Physics Laboratories
  • Reynolds Number
  • Sea Level
  • Test Facilities

Readers

  • Computational Modeling and Simulation
  • Maritime Security/Maritime Homeland Security