In order to present a predictive drift model, Jeju National University's training ship was tested for about 11 hours and 40 minutes, and 81 samples that selected one of the entire samples at ten-minute intervals were subjected to regression analysis after verifying outliers and influence points. In the outlier and influence point analysis, although there is a part where the wind direction exceeds 1 in the DFBETAS (difference in Betas) value, the CV (cumulative variable) value is 6%, close to 1. Therefore, it was judged that there would be no problem in conducting multiple regression analyses on samples. The standard regression coefficient showed how much current and wind affect the dependent variable. It showed that current speed and direction were the most important variables for drift speed and direction, with values of 47.1% and 58.1%, respectively. The analysis showed that the statistical values indicated the fit of the model at the significance level of 0.05 for multiple regression analysis. The multiple correlation coefficients indicating the degree of influence on the dependent variable were 83.2% and 89.0%, respectively. The determination of coefficients were 69.3% and 79.3%, and the adjusted determination of coefficients were 67.6% and 78.3%, respectively. In this study, a more quantitative prediction model will be presented because it is performed after identifying outliers and influence points of sample data before multiple regression analysis. Therefore, many studies will be active in the future by combining them.

본 연구는 국내 난대림 집단자생지인 전남 완도군 상왕산(644m) 일대의 식물상 조사를 통해 자생식물, 희귀식물 및 특산식 물 등 식물 분포와 특징을 밝히고 식물종다양성 보전과 난대림의 기후변화 대비 분포변화 연구를 위한 자료로 활용하고자 조사하였다. 2018년부터 2022년까지 총 32회의 현장조사를 실시하였다. 조사결과 132과 473속 708종 16아종 53변종 8품종으로 총 785분류군이 조사되었다. 환경부 지정 멸종위기야생식물은 새깃아재비(Woodwardia japonica (L.f.) Sm.), 칠보치마(Metanarthecium luteoviride Maxim.), 혹난초(Bulbophyllum inconspicuum Maxim.), 석곡(Dendrobium moniliforme (L.) Sw.), 지네발란(Pelatantheria scolopendrifolia (Makino) Aver.), 대흥란(Cymbidium macrorhizon Lindl.) 6분류군이 조사되었으며 산림청 지정 희귀식물은 총 26분류군이 조사되었다. 국립수목원에서 제시한 적색식물은 7분류군, 국립생물자원관에서 제시한 적색목록식물은 29분류군, 한국특산식물목록은 17분류군이 조사되었다. 식물구계학적 특정종은 총 200분류군으로 Ⅴ등급 6분류군, Ⅳ등급 13분류군, Ⅲ등급 73분류군, Ⅱ등급 29분류군, Ⅰ등급 79분류군이 조사되었다. 귀화식물은 총 73분류군, 생태계교란종은 6분류군이 조사되었다. 조사지역의 기후변화 적응 대상식물은 특산식물 8분류군, 남방계식물 46분류군, 북방계식물 1분류군으로 총 55분류군이 조사되었다.

Among the fishing vessels operating in the coastal waters, jigging fishing vessels were considered representative vessels engaged only by wind, sea, tide, and external force. Then, a fishing vessel with a length of shorter than 10 m from July 1, 2018 to August 5, 2019 was studied to obtain a drift prediction model by multiple regression analysis. In the correlation analysis between variables for leeway of speed and direction, the speed and direction of tidal seem to be the most affected in coastal waters. Therefore, it should be considered an explanatory variable when conducting drift tests. As a result of multiple regression analysis on the predicted equations of leeway speed and direction due to the external force on the drift of the fishing vessel, p < 0.000 was considered significant in the F-test, but the coefficient of determination was 55.2% and 37.8%. The effect on the predicted leeway speed was in the order of the tidal speed and current speed. In addition, the impact on the predicted leeway direction was in the order of the tidal speed and current speed.

본 연구는 주요 난대 상록활엽수종인 붉가시나무, 구실잣밤나무, 동백나무, 황칠나무 등 4종 임분과 곰솔림을 대상으 로 2019년 5월~2020년 1월까지 각 산림의 임분 특성 및 NVOCs 발산특성을 알아보고자 수행되었다. 분석 결과, 각 조사구의 계절별 기온 및 습도는 여름철에 고온다습하고 겨울철 저온건조한 일반적 우리나라의 기후적 특성을 보였고 기압은 대체적으로 겨울이 높았으며 봄, 여름보다 가을과 겨울의 기압이 높았다. 조사구 5개소의 총 NVOCs는 전체적으로 여름철에 가장 높았으며 봄, 겨울은 황칠나무림, 가을은 구실잣밤나무림, 여름은 붉가시나무림의 NVOCs량 이 상대적으로 높은 특성을 보였다. 수종별로 살펴보면, 침엽수종인 곰솔림보다 난대 상록활엽수종인 붉가시나무, 구실잣밤나무, 동백나무, 황칠나무의 NVOCs 발산량이 낮지 않거나 오히려 높은 것을 확인하였다. NVOCs 발산에 기온(r=0.590, P=0.000), 습도(r=0.655, P=0.000)는 양(+)의 상관관계, 기압(r=-0.384, P=0.000)과 풍속(r=-0.263, P=0.018)은 낮은 음(-)의 영향이 있었다. 미기상인자 중 습도(β=0.507, P=0.000)가 NVOC 발산량에 가장 크게 영향을 미치는 것으로 나타났으며 기온, 기압, 풍속 순으로 영향을 미치는 것으로 분석되었다.

In general, a high tension on the anchor and chain is placed when a ship at anchor is subjected to heavy weather. Mariners have to pay attention to whether dragging anchor occurs to keep the safety of the ship at anchorage since it is difficult to maintain the stable motion of ship and it causes collisions with other ships nearby. In this paper, the ship motion against the external forces was shown to obtain the fundamental data about characteristic of holding power due to nature of seabed at anchor, so practical trials were carried out in rocky area and muddy area using a trial ship around coastal area of South Korea. In muddy seabed, holding power showed reasonable tension values depending on the distance from anchor position of continuing swing motions of a ship corresponding to wind force. Meanwhile in rocky seabed, tension values on the chain appeared very high occasionally regardless of the distance from the anchor position and seemed to exceed its holding power to be the breaking strain of the chain although weather was not in a severe condition. Therefore, some of the cables laid on the seabed were presumed to be caught in a crack on the rock. It is assumed that even a small amount of external force may cause the chain to break in a moment in rocky seabed. Additionally, wind and current forces had a somewhat contradictory effect on holding power of the ship between them.

안정적인 선원 수급을 위해서는 선원의 임금 보장이 필수적이다. 하지만 선원들이 임금을 제대로 받지 못하는 임금체불 분쟁 이 발생하고 있다. 본 연구에서는 선원 임금체불을 해결하기 위해 블록체인 기반 스마트 컨트랙트를 이용하여 임금지불 자동체결시스템 을 설계하였다. 설계한 시스템은 정보등록부, 매칭처리부, 평점관리부, 스마트 컨트랙트를 배포하기 위한 임금 송금 등으로 구성된다. 매 칭처리부는 선원과 선주의 자동알림설정을 위해 임금, 선종/어업, 직위, 면허 등 4가지 변수의 가중치 합이 임계값보다 넘으면 전송되도록 설계하였다. 또한, 평상시 근로조건을 상호 간 잘 이행해 나갈 수 있는 매개체 역할을 위해 평균과 중앙값을 조합하여 평점관리방식을 제 시하였다. 스마트 컨트랙트는 중개자 없이 당사자 간 근로계약을 자동으로 이행하게 함으로써 선주에 의한 임금체불 문제뿐만 아니라 선 원에 의한 선불금 사기, 무등록 직업소개소업자의 횡령, 선원수첩 위조 등의 문제들이 자연히 해결될 것이다. 이러한 시스템 설계가 상용 화되어 제도적으로 활성화될 경우, 선원에게는 안정적인 임금보장과 더불어 선주에게는 인력수급의 어려움이 해결될 것으로 기대된다. 향후 본 시스템 개발을 위해 로컬 환경에서 테스트할 예정이다.

The fishery compensation by marine spatial planning such as routeing of ships and offshore wind farms is required objective data on whether fishing vessels are engaged in a target area. There has still been no research that calculated the number of fishing operation days scientifically. This study proposes a novel method for calculating the number of fishing operation days using the fishing trajectory data when investigating fishery compensation in marine spatial planning areas. It was calculated by multiplying the average reporting interval of trajectory data, the number of collected data, the status weighting factor, and the weighting factor for fishery compensation according to the location of each fishing vessel. In particular, the number of fishing operation days for the compensation of driftnet fishery was considered the daily average number of large vessels from the port and the fishery loss hours for avoiding collisions with them. The target area for applying the proposed method is the routeing area of ships of Jeju outer port. The yearly average fishing operation days were calculated from three years of data from 2017 to 2019. As a result of the study, the yearly average fishing operation days for the compensation of each fishing village fraternity varied from 0.0 to 39.0 days. The proposed method can be used for fishery compensation as an objective indicator in various marine spatial planning areas.

In this study, a drifting test using a experimental vessel (2,966 tons) in the northern waters of Jeju was carried out for the first time in order to obtain the fundamental data for drift. During the test, it was shown that the average leeway speed and direction by GPS position were 0.362 m/s and 155.54° respectively and the leeway rate for wind speed was 8.80%. The analysis of linear regression modes about leeway speed and direction of the experimental vessel indicated that wind or current (i.e. explanatory variable) had a greater influence upon response variable (e.g. leeway speed or direction) with the speed of the wind and current rather than their directions. On the other hand, the result of multiple regression model analysis was able to predict that the direction was negative, and it was demonstrated that predicted values of leeway speed and direction using an experimental vessel is to be more influential by current than wind while the leeway speed through variance and covariance was positive. In terms of the leeway direction of the experimental vessel, the same result of the leeway speed appeared except for a possibility of the existence of multi-collinearity. Then, it can be interpreted that the explanatory variables were less descriptive in the predicted values of the leeway direction. As a result, the prediction of leeway speed and direction can be demonstrated as following equations. However, many drift tests using actual vessels and various drifting objects will provide reasonable estimations, so that they can help search and rescue fishing gears as well.

제주해역은 많은 상선 및 어선들이 항해를 하고, 자망, 트롤 등 다양한 어구를 활용하여 어로활동을 하고 있다. 그 동안 해양폐기물 수집은 주로 제주도 해안 및 연안해역에서 시행되고 있으나, 연근해 해역에서 발생되는 해양폐기물 발생에 대한 수집 및 연구가 미미하였다. 이에 본 연구는 제주대학교 실습선을 이용하여 제주도 북서해역에 침전한 해양폐기물을 수거하고 각 폐기물별로 관련 선박의 항적을 분석하였다. 또한 일정 구역 및 선박 체류시간별로 얼마나 많은 해양폐기물을 투기하고 있는지 분석하기 위해 선박자동식별장치 항적데이터를 활용하여 대상해역에 선박이 체류한 시간을 추출하여, 어선업종별로 1 ㎢ 단위구역에서 시간당 해양폐기물 발생양을 분석 하였다. 분석 결과 연근해 해역은 어선기인 폐어구가 대다수였으며, 그중 자망 및 통발 어구가 많은 비율을 차지하고 있었다. 본 연구에서 단위구역에서 시간당 해양폐기물 발생량은 자망어업이 평균 0.94 kg, 통발어업이 3.49 kg, 저인망어업이 0.10 kg, 연승어업이 0.11 kg, 기타어업이 0.02 kg으로 산출되었다. 이 결과를 활용하여 향후 연근해 수중환경 정화시 해양폐기물 발생이 높은 해역위주로 해양폐기물 수거가 가능할 것이다.