• 해양환경안전학회지
• /
• 제23권7호
• /
• pp.810-819
• /
• 2017

현행 방제선 배치 항만의 합리적인 방안을 모색하고자 국내 주요 항만을 대상으로 이용실태와 위험요인의 분포현황을 조사하여 각 항만별 위험도를 평가하고 위험도 산정 값을 기준으로 전체 항만을 4단계의 위험군으로 분류하여 방제선 배치 항만의 현실화를 추구하였다. 그 결과 항만의 위험도는 대규모 석유화학 산업시설이 위치하고 있는 여수 광양항(1.85), 울산항(1.33), 대산항(1.25)이 특히 높게 나타나고, 선박 통항량이 많은 부산항(0.95), 인천항(0.83)과 최근 항만시설의 확충으로 대형선 통항량이 증가한 목포항(0.71)과 제주항(0.49), 주변에 어업권 허가건수가 많은 마산항(0.44) 순서로 나타났다. 또한, 위험도 값이 가장 높게 나타난 여수 광양항을 기준으로 각 항만의 상대적 비율을 등급화하여 위험군을 4단계로 구분했을 때 최고위험군은 여수 광양항, 울산항, 대산항, 부산항이고, 고위험군은 인천항, 목포항, 제주항, 마산항이며, 중위험군은 평택 당진항, 포항항, 군산항, 동해 묵호항, 저위험군은 삼천포항, 옥계항, 장승포항으로 분류되었다. 이 중 현행 법률상 방제선 배치항만은 모두 중위험군 이상의 항만이며 중위험군으로 새롭게 평가되는 목포항, 제주항, 동해 묵호항은 제외되어 있다. 따라서 이들 3개 항만을 방제선 배치항만으로 새롭게 지정하여 기름오염사고에 대비할 필요가 있다.

• 식품과학과 산업
• /
• 제54권1호
• /
• pp.2-10
• /
• 2021

Microplastics with a size of less than 5 mm have emerged as an important environmental and food safety issue, as they have been detected not only in marine but also in terrestrial ecosystem and drinking water. Although many studies have been conducted on the exposure of microplastics and the effects on human health, the lack of standardized experimental methods for microplastics has been reviewed as a major problem. In order to overcome this, European countries such as the Netherlands and Germany are conducting a project to develop detection methods for microplastics as well as to establish the risk assessment methodologies for microplastics. Being the microplastics suggested to have a substantially potential risk on human health, reliable risk assessments should be conducted considering the various sources of microplastics, chemical pollutants and biological factors. In addition, international standards and regulations should be applied.

• 해양환경안전학회지
• /
• 제7권2호
• /
• pp.49-65
• /
• 2001

Total Quality Management(TQM) is the source of competitive advantage for the enterprise faced with the dynamic change of the environment as the customer satisfaction era, unlike the past marketing era. It can have an effect on the strategical choice of the enterprise and becomes a new spotlight of management strategy in business administration recently with various techniques of organizational innovation, such as business re-engineering, benchmarking and so on. The TQM which has an essential part of a Risk Response Process is recognized as strategic aspects in Risk Management. TQM means the total management system that realizes management philosophy of customer satisfaction through continuous improvement and innovational thoughts on the basis of top-management＇s leadership and employees＇ involvement, policy of quality management, customer focus, development of human resources, empowered work forces, and supplier relationships. The data investigating the business performance effect of active factors in TQM based on the shipping firms were collected from 250 shipping firms in Korea by the use of questionnaire method and personal interviews at the selected samples.

• 한국항해항만학회:학술대회논문집
• /
• 한국항해항만학회 2018년도 춘계학술대회
• /
• pp.162-163
• /
• 2018

해양환경 및 배출가스 규제로 지금까지와는 다른 새로운 연료공급시스템을 적용하게 되는 LNG 추진 선박의 경우 초기 설계 단계에서 위해도 평가가 수행된다. 위해도 평가는 위험에 대한 분석과 평가를 체계적으로 가능하게 하는 일련의 논리적인 단계이다. LNG 연료추진선박은 크게 LNG Tank, Fuel Gas Supply System, Bunkering Manifold, LNG Engine으로 구성되며 이는 해당 선박의 특성, 크기, 항로, 운항거리, 사용엔진 등에 따라 구성요소가 달라지므로 각각의 선박에 대한 위험 요소가 달라지며, 위해도 분석 또한 달라진다. 본 연구에서는 LNG를 연료로 하는 선박들의 시스템에 대해 고찰하고, 실제 위험도 평가가 진행된 몇 가지 사례 선박들의 위해도 평가에 대한 분석을 하고자 한다.

• 해양환경안전학회:학술대회논문집
• /
• 해양환경안전학회 2001년도 춘계학술발표대회
• /
• pp.105-133
• /
• 2001

World trade has been increasing continuously in total volume, on the other hand, environmental protection on sea and conservation of fishery resources has been rising up the major issue. All of the world are pushing their efforts two major purposes to the full, one is taking competitive place in marine transportation throughout the world and another Is environment protection. Pusan Port as world leading Port put its all effort in bring more ocean going vessels and securing their traffic route by providing them more information related marine traffics through PTMS in port. During two years of operation, statistics of marine traffic accidents showed that many dynamic casualties such as collisions, groundings, and rammings has been decreased. However, due to increasing cargo volume, limited water area and unpredictable weather condition, potential risks still exist high. In this paper, in order to maximize the efficiency of PTMS and reduce various risks in the future, we examine risk factors over operational results and experience, and propose reasonable operational methods of PTMS.

• 수산해양교육연구
• /
• 제21권4호
• /
• pp.607-621
• /
• 2009

In order to deal with consumer's demand changes in market condition, it is necessary to have a study on the consumer behavior to promote seafood consumption. The objective of this study is to examine the factors that have influences on consumer involvement of seafood. It is also aim to examine how the situation of seafood factors influences the consumer's behavior in purchasing and consuming the seafood. In this study, I have conducted a survey by using Busan housewives as random sampling. To examine this variable, situation factors that I used if the factor analysis. I also performed a multiple regression analysis to understand how the situation factors influenced the consumer's emotion and their satisfaction within the level of involvement. The result showed that consumer involvement seafood is created by not only interests and preferences, but also knowledge, perceived risk and profits. The seafood situation factors are divided into purchase situation, consumption situation and communication situation: purchase situation includes store factor, while consumption situation includes health factor and cooking-motive factor and communication situation includes information factor. Results of examining whether there are differences in the involvement explains that the involvement is different according to the level and it is divided into 2 groups. The first groups is the high-involvement group that shows preferences and interests, perceived risk and profits. Another group is the low-involvement group that shows preferences and interests, knowledge and profits. The result on examining whether situation sectors have influences on the involvement shows that high-involvement group is only affected by store factor in purchase situation and low-involvement group is only affected by information factor in communication situation.

• Ocean Systems Engineering
• /
• 제9권3호
• /
• pp.261-285
• /
• 2019

Nowadays in offshore industry there are emerging hazards with vague property such as act of terrorism, act of war, unforeseen natural disasters such as tsunami, etc. Therefore industry professionals such as offshore energy insurers, safety engineers and risk managers in order to determine the failure rates and frequencies for the potential hazards where there is no data available, they need to use an appropriate method to overcome this difficulty. Furthermore in conventional risk based analysis models such as when using a fault tree analysis, hazards with vague properties are normally waived and ignored. In other word in previous situations only a traditional probability based fault tree analysis could be implemented. To overcome this shortcoming fuzzy set theory is applied to fault tree analysis to combine the known and unknown data in which the pre-combined result will be determined under a fuzzy environment. This has been fulfilled by integration of a generic bow-tie based risk analysis model into the risk assessment phase of the Risk Management (RM) cycles as a backbone of the phase. For this reason Fault Tree Analysis (FTA) and Event Tree Analysis (ETA) are used to analyse one of the significant risk factors associated in offshore terminals. This process will eventually help the insurers and risk managers in marine and offshore industries to investigate the potential hazards more in detail if there is vagueness. For this purpose a case study of offshore terminal while coinciding with the nature of the Caspian Sea was decided to be examined.

• 해양환경안전학회지
• /
• 제24권2호
• /
• pp.133-139
• /
• 2018

해상교량 하부의 직선항로 길이 확보는 선박 통항 안전을 위한 중요한 요소 중 하나이다. 그러나 항만 및 어항 설계기준에 따르면 해상교량 하부 직선항로 길이는 선박길이의 8배로 획일적인 가이드라인을 적용하고 있다. 본 연구는 적정 해상교량 하부직선길이를 도출하기 위해 ES 모델을 이용하여 항로폭, 통항량, 항로의 곡률, 직선항로길이에 따른 위험도 비율을 확인했다. 확인 결과 항로의 곡률이 $45^{\circ}$의 경우 항로길이가 3L에서 10L로 길어짐에 따라 위험도 비율이 2.27 % 감소했다. 곡률에 따른 위험도는 직선항로의 길이가 3L의 경우 곡률이 $45^{\circ}$에서 $0^{\circ}$로 변하면서 위험도 비율이 4.83 % 감소하는 것을 확인했다. 또한 항로폭 400 m, 시간당 발생선박이 20척의 조건에서 항로의 곡률별, 직선항로에 따른 위험도 비율은 최대 1.45 % 감소하는 것을 확인했다. 이를 통해 해상 교량 건설 시 항로의 혼잡도 및 곡률에 따라 일정 길이 이상의 직선항로가 필요함을 검증했다.

• 한국항해항만학회:학술대회논문집
• /
• 한국항해항만학회 2013년도 춘계학술대회
• /
• pp.169-171
• /
• 2013

The ships always have had the risk of collision. There are also a number of near-miss situations especially in the congested area such as port entrance, restricted waters and crossing point of the ship's route. In those areas, the navigator might have more stress than other areas. If the collision risk of decided area is calculated, it might be possible to analyse the human factors by using this data. It is also helpful for deciding a position of aids to navigation or any other system for the safety navigation. For this purpose, the model of collision risk with AIS data has been explained in this paper. The calculated result from the proposed model has been examined by using the simulation.

• 대한조선학회논문집
• /
• 제58권3호
• /
• pp.129-136
• /
• 2021

Cavitation erosion is one of the major factors causing damage by lowering the structural strength of the marine propeller and the risk of it has been qualitatively evaluated by each institution with their own criteria based on the experiences. In this study, in order to quantitatively evaluate the risk of cavitation erosion on the propeller, we implement a deep learning algorithm based on a convolutional neural network. We train and verify it using the model tests results, including cavitation characteristics of various ship types. Here, we adopt the validated well-known networks such as VGG, GoogLeNet, and ResNet, and the results are compared with the expert's qualitative prediction results to confirm the feasibility of the prediction algorithm using a convolutional neural network.