• Journal of Korean Society of Coastal and Ocean Engineers
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• v.29 no.4
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• pp.180-188
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• 2017

Recently, as the strength of winds and waves increases due to the climate change, abnormal waves such as swells have been also increased, which results in the increase of downtime events of loading/unloading in a harbour. To reduce the downtime events, breakwaters were constructed in a harbour to improve the tranquility. However, it is also important and useful for efficient port operation by predicting accurately and also quickly the downtime events when the harbour operation is in a limiting condition. In this study, numerical simulations were carried out to calculate the wave conditions based on the forecasted wind data in offshore area/outside harbour and also the long-term observation was carried out to obtain the wave data in a harbour. A forecasting method was designed using an auto-regressive (AR) and artificial neural networks (ANN) models in order to establish the relationship between the wave conditions calculated by wave model (SWAN) in offshore area and observed ones in a harbour. To evaluate the applicability of the proposed method, this method was applied to predict wave heights in a harbour and to forecast the downtime events in Pohang New Harbour with highly complex topography were compared. From the verification study, it was observed that the ANN model was more accurate than the AR model.

• Journal of the Korean Society for Marine Environment & Energy
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• v.17 no.3
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• pp.189-197
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• 2014

Collection and management of various information related to the ballast water are the essential components for the efficient implementation of the IMO Ballast Water Management Convention. Based upon the ballast water risk assessment and information system developed by other states, regions or even at global level, an integrated information system has been established to be applied to our domestic ports. The integrated information system is composed of four DataBases (DB) which are the Shipping DB, Ballast water DB, Port Environment DB and Species DB. The Shipping DB has been established based on the data collected from the Port Management Information System (Port-MIS). For the Ballast water DB, Ballast water has only been estimated by the loading/unloading of the cargoes as the convention has not come into effect yet. The Port Environment DB and Species DB are being established based on the reference documents and existing and newly collected monitoring data. From these DB, the integrated information system will be able to provide a base for the information search, statistic analysis and risk assessment of ballast water. Once the convention comes into effect, this integrated information system will be applied to manage the domestic ballast water discharge and also the port management.

• Korean Journal of Remote Sensing
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• v.39 no.5_4
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• pp.1085-1095
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• 2023

Time-series data generated from satellite data are crucial resources for change detection and monitoring across various fields. Existing research in time-series data generation primarily relies on single-image analysis to maintain data uniformity, with ongoing efforts to enhance spatial and temporal resolutions by utilizing diverse image sources. Despite the emphasized significance of time-series data, there is a notable absence of automated data collection and preprocessing for research purposes. In this paper, to address this limitation, we propose a system that automates the collection of satellite information in user-specified areas to generate time-series data. This research aims to collect data from various satellite sources in a specific region and convert them into time-series data, developing an automatic satellite image collection system for this purpose. By utilizing this system, users can collect and extract data for their specific regions of interest, making the data immediately usable. Experimental results have shown the feasibility of automatically acquiring freely available Landsat and Sentinel images from the web and incorporating manually inputted high-resolution satellite images. Comparisons between automatically collected and edited images based on high-resolution satellite data demonstrated minimal discrepancies, with no significant errors in the generated output.

• Proceedings of the Korea Water Resources Association Conference
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• 2006.05a
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• pp.1305-1312
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• 2006

This study is about the development of measurement system using ubiquitous wireless communication for river flow monitoring. The system can acquire water depth, quality (temperature, pH, conductivity, turbidity etc.) while a GPS module for getting the location data of measurement points. Also this system is able to acquire the field data via RF connection and can be controlled same time. The acquired data is transmitted to a gateway system from the remote buoy using Zigbee wireless connection. And the gateway system is able to monitor the data through GIS monitoring tool. Finally the data are transmitted to a server computer using CDMA wireless connection by gateway system. The D/B of server computer are constructed automatically and monitored the project web site. The resulting system can be used for scour monitoring, environment monitoring and the other monitoring purposes such as a river flow monitoring system.

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.416-416
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• 2020

우리나라의 계절 특성상 여름철 집중호우가 쏟아지는 현상이 빈번하게 발생하는데 이러한 돌발홍수가 예고 없이 일어나 상습적으로 침수 피해를 입는 지역이 증가하고 있다. 본 연구에서 2009년 ~ 2019년 동안 서울시 침수 피해 사건 중심의 인터넷 기사를 기반으로 실제 침수 사례를 조사해본 결과, 침수가 가장 많이 발생한 순으로 반포동(26건), 대치동(25건), 잠실동(21건)으로 집계되었다. 침수피해가 가장 많은 반포동을 연구지역으로 선정하고 그 중 잠수교의 수위를 예측하는 연구를 진행하였다. 기존 연구에서는 수치모형에 비해 신속한 결과를 도출할 수 있는 자료 기반 모형 중 LSTM 기법을 많이 사용하였다. 그러나 이는 선행 시간이 길어질수록 첨두수위에서 과소추정된 것으로 분석된 취약점이 존재하였다(정성호 외, 2018). 본 연구에서는 이러한 단점을 보완하기 위해 GANs(Generative Adversarial Networks)를 이용하였다. GANs는 생성자와 감별자가 나뉘어 생성자가 실제 자료인 첨두수위에서의 잠수교의 수위를 학습하고 실제와 근접한 가상데이터를 결과로 생성하여 감별자는 그 생성된 미래의 잠수교의 수위가 실제인지 가상인지 판별하도록 학습시키는 신경망 구조이다. 사용한 수문자료는 한강홍수통제소, 기상청, 국립해양조사원에서 제공하는 최근 15년간의 (2005년~2019년) 수위, 방류량, 강수량, 조위 자료를 수집하였고 t-test와 상관성분석을 통해 사용한 인자 간의 유의미성 판단과 상관성을 분석했다. 또한, 민감도 분석 결과 시퀀스길이(5), 반복횟수(1000), 은닉층(10), 학습률(0.005)로 최적값을 선정하였다. 또한 학습구간(2005년~2014년)과 검증구간(2015~2019년)으로 나누어 상대적으로 높은 수위가 관측되는 홍수기의 3, 6, 9시간 후의 수위를 예측하고 오차 지표를 이용해 평가하였다. LSTM 기법으로 예측된 수위와 GANs로 예측된 수위를 비교한 결과 GANs으로 예측된 첨두수위에서의 정확도가 5% 정도로 향상되었다. 향후에는 다양한 영향인자와 다른 기법과의 결합을 고려한다면 보다 정확하게 수위를 예측하여 하천 주변 사회기반시설의 침수 피해를 감소시킬 것으로 판단된다.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.29 no.5
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• pp.228-238
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• 2017

In coastal region, tidal harmonic constants of semi-diurnal tides and nonlinear tides were collected. The observed tide data of KHOA were analyzed by a tide harmonic analysis method. In the southwestern coasts and Han river estuary, nonlinear tides are clearly generated. The generation of tide non-linearity and tide asymmetry is closely related with tide form factor in Korean coastal zone. Tide non-linearity and asymmetry in Mokpo harbour have increased by a series of coastal development projects. The increase has caused rise of high water level and drop of low water level, and increase of tidal range. In Kunsan Outport, tidal range has been declined due to inter-annual change of nonlinear tides after completion of Samangeum sea-dyke.

• Journal of the Korean Society of Marine Environment & Safety
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• v.24 no.7
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• pp.889-897
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• 2018

Since students of the College of Maritime Sciences will become professionals contributing to the development of the Korean shipping industry after graduation, they are required to successfully complete school life including theoretical and practical curriculum with health promotion behavior. The purpose of this study was to investigate the factors influencing health promotion behavior by students of the College of Maritime Science in order to collect basic data through a survey for the development of health promotion programs. Health promotion behavior by students of the College of Maritime Sciences was less frequent than by other college students, and the levels of health promotion behavior sub-domains were lower in order of interpersonal relations, spiritual growth, stress management, nutrition, physical activity, and health responsibility. The most influential factors for health promotion behavior were learner participation, health promotion self-efficacy, self-esteem, and social support. It is necessary to develop a differentiated health promotion program considering the characteristics of students and to apply it systematically from the time of admission to improve health promotion behavior by students of the College of Maritime Sciences.

• Korean Journal of Remote Sensing
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• v.36 no.2_2
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• pp.379-399
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• 2020

The detection of illegal ship is one of the key factors in building a marine surveillance system. Effective marine surveillance requires the means for continuous monitoring over a wide area. In this study, the possibility of ship detection monitoring based on satellite SAR, HF radar, UAV and AIS integration was investigated. Considering the characteristics of time and spatial resolution for each platform, the ship monitoring scenario consisted of a regular surveillance system using HFR data and AIS data, and an event monitoring system using satellites and UAVs. The regular surveillance system still has limitations in detecting a small ship and accuracy due to the low spatial resolution of HF radar data. However, the event monitoring system using satellite SAR data effectively detects illegal ships using AIS data, and the ship speed and heading direction estimated from SAR images or ship tracking information using HF radar data can be used as the main information for the transition to UAV monitoring. For the validation of monitoring scenario, a comprehensive field experiment was conducted from June 25 to June 26, 2019, at the west side of Hongwon Port in Seocheon. KOMPSAT-5 SAR images, UAV data, HF radar data and AIS data were successfully collected and analyzed by applying each developed algorithm. The developed system will be the basis for the regular and event ship monitoring scenarios as well as the visualization of data and analysis results collected from multiple platforms.

• Journal of the Korean Society of Marine Environment & Safety
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• v.23 no.6
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• pp.603-612
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• 2017

Accidents associated with hazardous materials, including oil and HNS, in maritime transportation show increasing trend. Therefore, preventive countermeasures for such accidents should be provided. The purpose of this study is to analyze level of risk on human loss and potential damage to environment, using data on domestic marine accidents carrying hazardous materials (2002~2014), and identify high-risk accident types for urgent risk management which needs findings of accident causes and proper mitigation measures. High-risks on human loss are explosion and suffocation, occurred in process of ship maintenance and tank cleaning. On the other hand, high-risk on environmental damage is spill caused by ship accidents (collision, grounding and etc.). Especially, spill occurs during loading operation of oil and HNS onboard a ship. Strict operation supervision/management and safety education/training on a regular basis could prevent accidents, because human factors such as not wearing safety gear and careless cargo handling cause most of the marine accidents.

• Journal of the Korean Society of Marine Environment & Safety
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• v.24 no.4
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• pp.415-421
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• 2018

The Republic of Korea has a more rapidly aging society than any other country in the world. In order to prepare for the attendant challenges, this research provides basic data for policies related to aging ship officers, analyzing the relationship between elderly ship officers and marine accidents. The data used here spans 11 years, from 2006 to 2016, and the survey and regression analysis were conducted only on ship officers, excluding crew. As a result of this research, first, it was found that the number of employed ship officers older than 60 has increased 2.7 times over the past 11 years and the range of this increase was larger than for other age categories. Second, the number of elderly ship officers disciplined for marine accidents increased by around 2.6 times. Third, elderly ship officers had around 1.5 times the rate of marine accidents compared to non-elderly ship officers. Fourth, as a result of conducting regression analysis between the number of employed elderly ship officers and the number of officers disciplined, the degree of explanatory power of elderly ship officers for disciplined officials was 75.1%. Since our society will age quickly, policies such as license renewal education for elderly ship officers and regulation enforcing the quality of renewal will be needed.