Exploration of the wind-induced drift characteristics of typical Chinese offshore fishing vessels

Zhu, Kui; Mu, Lin; Tu, Haiwen

doi:10.1016/j.apor.2019.101916

Cited by 20 publications

(6 citation statements)

References 12 publications

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“…At the same time, the moving sea water will have an impact on floating objects in the sea, causing them to move horizontally. In general, it may be said that the drift target's motion on the surface of the sea is coordinated with the sea current's horizontal motion, the model can be represented as [4].…”

Section: Flow-induced Driftmentioning

confidence: 99%

“…Zhang et al [3] employed the Lagrange tracking algorithm and the Runge-Kutta method to validate the prediction of floating trajectories in the South China Sea using a variety of marine environmental data sets. Zhu et al [4] simulate the drift prediction process using the Runge-Kutta method and Lagrange tracking algorithm, then calculate the search area using the Monte Carlo approach.…”

Section: Introductionmentioning

confidence: 99%

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Multi-target Emergency Rescue Path Planning in Marine Wind and Wave Environments

Zhi

Mei

et al. 2023

J. Phys.: Conf. Ser.

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With the development of marine-related industries, the number of tasks at sea has increased, and accidents there happen more frequently as well. Search and rescue are very challenging because of the extreme wind and wave environment at sea. Therefore, the state has been paying more attention to maritime emergency rescue. One part is emergency rescue path planning, which is crucial for helicopter emergency rescue at sea. In this paper, a series of multi-target rescue path solutions are created in order to solve the challenge of multi-target rescue path planning while taking into account sea wind and waves. The rescued targets’ floating trajectory model is first established. Then, a recursive algorithm based on a permutation tree is given in response to the unsteady change of the targets’ position at sea. The rescue path is planned with the goal of cutting down on the helicopter’s search time. Finally, using the multi-target rescue in China’s Taiwan Strait as an example, it is discovered that the overall time needed for the multi-target rescue is decreased by 7.03 minutes, and the efficiency of the rescue is improved by 13.3% in the wind and wave environment at sea. According to the research, the optimal rescue path shortens the time required for multi-target rescue at sea while increasing the effectiveness of helicopter rescue operations.

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Section: Flow-induced Driftmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multi-target Emergency Rescue Path Planning in Marine Wind and Wave Environments

Zhi

Mei

et al. 2023

J. Phys.: Conf. Ser.

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“…They also conducted multiple experiments on kayaks (5.8 m) under different load conditions, revealing that the wind drift coefficients of kayaks varied between 7.71% and 4.40% for loads ranging from 1 to 13 persons [22]. Zhu carried out drift experiments on typical nearshore fishing vessels using direct observation methods, analyzing the drift characteristics and patterns of these vessels when unpowered at sea [23]. It is evident that scholars have been conducting maritime drift experiments to study the drift characteristics and patterns of common sea-borne targets [24,25].…”

Section: Introductionmentioning

confidence: 99%

Research on the Drift Prediction of Marine Floating Debris: A Case Study of the South China Sea Maritime Drift Experiment

Mu,

Tu,

Geng

et al. 2024

JMSE

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Annually, hundreds of individuals tragically lose their lives at sea due to shipwrecks or aircraft accidents. For search and rescue personnel, the task of locating the debris of a downed aircraft in the vastness of the ocean presents a formidable challenge. A primary task these teams face is determining the search area, which is a critical step in the rescue operation. The movement of aircraft wreckage on the ocean surface is extremely complex, influenced by the combined effects of surface winds, waves, and currents. Establishing an appropriate drift motion prediction model is instrumental in accurately determining the search area for the wreckage. This article initially conducts maritime drift observation experiments on wreckage, and based on the results of these experiments, analyzes the drift characteristics and patterns of the debris. Subsequently, employing a wealth of observational experimental data, three types of drift prediction models for the wreckage are established using the least squares method. These models include the AP98 model, the dynamics model, and an improved model. In conclusion, the effectiveness and accuracy of the three models is evaluated and analyzed using Monte Carlo techniques. The results indicate that the probability of positive crosswind leeway (CWL) is 47.4%, while the probability of negative crosswind leeway (CWL) is 52.6%. The jibing frequency is 7.7% per hour, and the maximum leeway divergence angle observed is 40.4 degrees. Among the three drift prediction models, the refined AP98 drift model demonstrates the highest forecasting precision. The findings of this study offer a more accurate drift prediction model for the search of an aircraft lost at sea. These results hold significant guiding importance for maritime search and rescue operations in the South China Sea.

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“…And both models require large amounts of experimental data to calibrate model parameters for different drift targets. In contrast, the simulation of the AP98 leeway model is more refined and has more applications (Zhu et al, 2019). Many research institutions have carried out a series of field observation experiments combined with the AP98 Leeway model, and the results have been applied to the corresponding search and rescue and oil spill emergency systems in more and more countries (Coppini et al, 2016;Breivik, O. and Allen, A.A., 2008;Brushett et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Probabilistic Modelling of Target Drift in Marine Disasters Using Ocean Currents From High-Frequency Radars

Yu³

et al. 2022

Preprint

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The issue of target drift prediction based on ocean current from high-frequency (HF) ground-wave radar was studied in this paper. A large number of unpowered drift observation experiments for a class of South China Sea characteristic offshore fishing vessel was carried out in the range of radar radiation. The calculation of sub-grid velocity in the test area was based on the comparison between the HF radar data and the meteorological observation data of the buoy at sea. The two observation data also have good consistency in the matching of time and space. To analyze the temporal characteristics of diffusion velocity, the sample autocorrelation and the partial autocorrelation function of a sub-grid velocity were calculated separately, and a sub-grid model based on the ARMA model was proposed. Firstly, trajectory simulation based on the Runge-Kutta method was used to preliminarily verify the improvement of target drift prediction accuracy by ARMA model. In addition, the Monte-Carlo method was used to calculate and compare the prediction range of different sub-grid velocity models, and the ARMA model with different continuous prediction time steps was studied. Compared with the traditional sub-grid velocity model, the ARMA model with short-term continuous prediction can significantly improve the performance of target drift prediction model in terms of mean prediction error and separation. However, ARMA model is also limited by its continuous prediction step size to a large extent. On the one hand, this study verifies that the ARMA model with short-term continuous prediction improves the performance of target drift prediction model. On the other hand, the results further demonstrated that measured data provided by the HF radar, combined with other continuous ocean observation data, are of value for trajectory analysis of drift targets.

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Exploration of the wind-induced drift characteristics of typical Chinese offshore fishing vessels

Cited by 20 publications

References 12 publications

Multi-target Emergency Rescue Path Planning in Marine Wind and Wave Environments

Multi-target Emergency Rescue Path Planning in Marine Wind and Wave Environments

Research on the Drift Prediction of Marine Floating Debris: A Case Study of the South China Sea Maritime Drift Experiment

Probabilistic Modelling of Target Drift in Marine Disasters Using Ocean Currents From High-Frequency Radars

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