• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.49 no.2
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• pp.136-143
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• 2013

The analysis of the written verdicts in recent five years was conducted to obtain preventive measures of collision between fishing vessel and non fishing vessel. As a result, a collision much happened in offshore trap for fishing vessel and below 5,000 tons of small and medium class for non fishing vessel. A person involved in a marine accident occupied 68% in sixth class deck officer and small boat operator for fishing vessel and 29% in third class deck officer for non fishing vessel. 90% of the collision happened in a underway by operating state and 84% in sight of one another by visibility state. The systemic radar training was required since 47% of the collisions was occurred on the condition of radar operation in fishing vessel. The main cause of poor lookout was a intensive fishing and poor lookout on movement by radar for fishing vessel and one man watch system and no recognition of one another by radar for non fishing vessel. This result is expected to contribute for the decrease of collision.

• Journal of Fisheries and Marine Sciences Education
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• v.25 no.3
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• pp.716-723
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• 2013

The postal or group questionnaire survey was conducted to inquire into the cause of collision between fishing vessel and non-fishing vessel targeting fishing vessel personnel(FVP), non-NFVP and a person involved in a marine accident. As a result, we could verify the root cause of collision, a negligence of lookout which noted overwork for FVP and careless for non-FVP. The cause of collision by inappropriate avoid action was poor communications for FVP and non-FVP. To reduce collision, we need to be trained to take a sharp lookout, a radio communication by VHF and the collision avoidance actions by early and substantial action to keep well clear. The results are expected to contribute for the reduction of collision and victims.

• Journal of Fisheries and Marine Sciences Education
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• v.27 no.4
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• pp.912-923
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• 2015

In the results of analyzing Korean corrective action for what are required to be improved according to EU listing Korea as yellow-card non-cooperating third countries against IUU fishing, in order to establish advanced fishery order, it is thought that the following additional improvements are required. (1) The introduction of integrated management system of fishing vessel sailing route, fishing activity, fish catch, and inshore fishing vessel must be considered. (2) It is necessary to establish a system to cross check catch transaction, catch landing, and fish catch report submitted by fishing vessel. (3) Catch transshipment approval system shall be introduced. And a system of reporting and checking catch transshipment at sea shall be reinforced. (4) Punishment shall be strengthened to the extent of making people to perceive that loss due to punishment is larger than profit made from illegal fishing. (5) It shall be so improved that more than a certain percentage of all vessels with fish and fish products caught in waters outside Korea's judicial waters shall be arbitrarily chosen and searched besides a case of being suspected to be IUU fishing. In conclusion, on being listed by EU as yellow-card non-cooperating third countries against IUU fishing, Korean fishery management system shall be generally reexamined, and it shall serve as an occasion to exterminate IUU fishing and to advance fishery management system.

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.49 no.1
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• pp.29-39
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• 2013

Fishing vessels have been causing more than 70% of marine casualty in Korea. As a view of the occurring number of marine casualty, it is obvious for fishing vessel to account for the absolute high portion of that in comparison with the non-fishing vessels. That is a natural outcome because fishing vessels have occupied more than 90% of all registered Korean vessels. If we consider it not occurring number, but occurring ratio, we could find out that fishing vessels accounted for 5 times lower than non-fishing vessels in marine casualties. Nevertheless, fishing vessels have not immunity from responsibility for marine casualties at all, because the tendency of it in fishing vessel has been dominating the whole marine casualties in Korea. So for reduction of them, it is indispensable to decrease the casualties of fishing vessel. In this study, the authors tried to carry out many items of them to compare the occurring number with the occurring ratio, and dealt with the casualties of collision and machine damage in detail, because those have not only been occurring most frequently in casualties in Korea, but also led to the death and injury of lives. To reduce the collision and the machine damage, the operator have to keep the watch more strictly and check and keep the machine in good order. And it is necessary for the operator to take more education and training intended to decrease those systematically and continuously, especially for the crews of fishing vessels.

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.43 no.2
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• pp.149-159
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• 2007

Marine casualties of fishing vessels were analyzed to reduce the sacrifice of human life using data of the Korean Maritime Safety Tribunal from 1995 to 2004 in Korea. The occurred number of fishing vessel casualties were likely to be higher portion than non-fishing vessels, but the occurring ratio of fishing vessel casualties were marked 2.96 times lower than that of non-fishing vessel casualties. The occurring ratios of bigger fishing vessel casualties were higher than smaller ones. Most marine casualties were resulted from the human factors such as poor watchkeeping, negligent action for engine and etc. The trend of marine casualties showed that the machinery damage hold the first and collision accidents took the second, but on a point of cause of them, operating errors took first and poor handling or inspection of machinery held the second place. Because those two casualties took major portion, and very important problems for safety of fishing vessels, so we ought to try to reduce the factors before everything else. In addition, since collision, sinking and capsizing in marine casualties have led to death, missing and injury of lives, it is necessary for navigation operators to take more educations and training intended to reduce the marine casualties systematically and continuously.

• Journal of Navigation and Port Research
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• v.32 no.10
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• pp.751-757
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• 2008

This paper made some statistical analyses on marine accidents in Korean waters using marine accident statistics. They were verified through analyses of one-way ANOVA: the difference in average number of marine accidents among Korean waters, between fishing and non-fishing vessels, and by year and by month The pairwise post hoc multiple comparisons of REGW-For GH test were additionally tested. As a result, there were significance differences among Korean waters. The difference of marine accidents by year was verified to have a statistical significance in the South and the East Sea for the fishing vessel, and in the South Sea for the non-fishing vessel. There were signifiant differences of monthly marine accidents by month in the Yellow and the East Sea for the fishing vessel only.

• Korean Journal of Remote Sensing
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• v.38 no.1
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• pp.73-82
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• 2022

Marine fisheries resources face major anthropogenic threat from unregulated fishing activities; thus require precise detection for protection through marine surveillance. Korea developed an efficient land-based small fishing vessel monitoring system using real-time V-Pass data. However, those data directly do not provide information on fishing activities, thus further efforts are necessary to differentiate their activity status. In Korea, especially in Busan, longlining is practiced by many small fishing vessels to catch several types of fishes that need to be identified for proper monitoring. Therefore, in this study we have improved the existing fishing status classification method by applying Hidden Markov Model (HMM) on V-Pass data in order to further classify their fishing status into three groups, viz. non-fishing, longlining and other types of fishing. Data from 206 fishing vessels at Busan on 05 February, 2021 were used for this purpose. Two tiered HMM was applied that first differentiates non-fishing status from the fishing status, and finally classifies that fishing status into longlining and other types of fishing. Data from 193 and 13 ships were used as training and test datasets, respectively. Using this model 90.45% accuracy in classifying into fishing and non-fishing status and 88.23% overall accuracy in classifying all into three types of fishing statuses were achieved. Thus, this method is recommended for monitoring the activities of small fishing vessels equipped with V-Pass, especially for detecting longlining.

• Journal of Navigation and Port Research
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• v.47 no.4
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• pp.202-211
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• 2023

In maritime accidents, collisions involving fishing vessels are more frequent and severe than those involving other types of vessels. Previous cases of collision accidents caused by fishing vessels causing serious damage implied that fishing vessels maintained high speeds until just before the collision and that they collided with much larger vessels. This study investigated the correlation between the severity of ship damage resulting from fishing vessel collisions and the vessel's speed. The effective impact speed commonly used in the road transport sector was utilized to analyze ship collision accidents. The study collected collision data between fishing vessels and between fishing vessels and non-fishing vessels from accident investigation reports from 2016 to 2022. The effective impact speed was calculated for a total of 617 vessels. After using binary and multinomial logistic regression methodology, the analysis was carried out with effective impact speed as the independent variable and severity of accident as the dependent variable. The analysis revealed a statistically significant correlation between the effective impact speed and the severity of ship damage, indicating that the severity of ship damage is influenced not only by the effective impact speed but also by the tonnage of the vessel.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.57 no.4
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• pp.479-488
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• 2024

In recent years, changes in the fishing ground environment have led to reduced catches by fishermen at traditional fishing spots and increased operational costs related to vessel exploration, fuel, and labor. In this study, we developed a deep learning model to classify the fishing activities of drift gillnet fishing boats using AIS (automatic identification system) trajectory data. The proposed model integrates long short-term memory and 1-dimensional convolutional neural network layers to effectively distinguish between fishing (throwing and hauling) and non-fishing operations. Training on a dataset derived from AIS and validation against a subset of CCTV footage, the model achieved high accuracy, with a classification accuracy of 90% for fishing events. These results show that the model can be used effectively to monitor and manage fishing activities in coastal waters in real time.

• Ocean and Polar Research
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• v.36 no.3
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• pp.289-302
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• 2014

This paper aims to evaluate the indirect economic damages to anglers of the marine recreational charter caused by marine pollution associated with the Herbei Spirit vessel, which spilled 12,547 kl of crude oil in Taean coastal areas in December 2007. In order to evaluate the indirect cost to anglers of the charter fishing, consumer surplus for charter fishing is estimated using a Poisson model (PM), a negative binomial model (NBM), a truncated Poisson model (TPM), and a truncated negative binomial model (TNBM), which account for the characteristics of count data (non-negative discrete data), for individual travel cost method (ITCM). Because of over-dispersion problem in PM and TPM, NBM and TNBM are considered to be more appropriate statistically. All parameters such as income, fishing careers, travel cost and catch that are estimated are statistically significant and theoretically valid. Based on TNBM results, consumer surplus per trip and per person was estimated to be 277 thousand won, total consumer surplus per person and per year about 2.3 million won, and the marginal effect of consumer surplus on % changes in catch rate is about 33 thousand won. The consumer surplus was converted into total indirect economic damages for aggregation which are evaluated to be 125 billion won, reflecting the number of anglers and damage rate.