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Exploration of the wind-induced drift characteristics of typical Chinese offshore fishing vessels
Institution:1. College of Marine Science and Technology, China University of Geosciences, Wuhan 430074, PR China;2. College of Life Sciences and Oceanography, Shenzhen University, Shenzhen 518060, PR China;3. Shenzhen Research Institute, China University of Geosciences, Shenzhen 518057, PR China;1. Griffith School of Engineering, Griffith University, Gold Coast, QLD 4222, Australia;2. Asia Pacific ASA, PO Box 1679, Surfers Paradise, QLD 4217, Australia;3. U.S. Coast Guard, Office of Search and Rescue (CG-SAR-1), U.S. Coast Guard International Ice Patrol, 1 Chelsea Street, New London, CT 06320, United States;4. U.S. Coast Guard, U.S. Coast Guard Academy, Science Department (dsm), 27 Mohegan Avenue, New London, CT 06320, United States;1. College of Marine Science and Technology, China University of Geosciences, Wuhan 430074, People''s Republic of China;2. College of Life Sciences and Oceanography, Shenzhen University, Shenzhen 518060, People''s Republic of China;3. College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, People''s Republic of China
Abstract:The drift motion of a maritime distress target is the collective result of the balance of forces that comes from wind, currents and waves. The drift properties vary from one type of object to another. The objective of this paper is to explore the leeway drift characteristics of typical Chinese offshore fishing vessels as well as evaluate the leeway drift model. First, a series of field experiments were conducted in South China Sea to provide data source. Next, nine leeway coefficients in AP98 leeway model were derived by the least square fitting based on the experimental data. Furthermore, another drifting dynamics model based on a balance of forces on the drifting vessel due to wind and currents, was also calibrated for comparison. Finally, two cases of drift trajectory and searching areas were simulated by the two different models through Lagrangian particle tracking and Monte Carlo techniques. Results indicate that the AP98 leeway model is in better accordance with the observation compared with the drifting dynamics model. Additionally, the simulation accuracy of AP98 leeway model can be improved to some extent especially when the probability of positive crosswind (POPC) is considered. Considering the large number of the typical offshore fishing vessels in South China Sea, and their high accident rate, the model coefficients for this type of vessels are expected to be implemented into more search and rescue (SAR) models by SAR organizations.
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