• Journal of Korean Society of Coastal and Ocean Engineers
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• v.6 no.3
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• pp.298-308
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• 1994

Ocean circulation in the Northeast Pacific Ocean is simulated using a high-resolution primitive equation numerical model with realistic bottom topography. The goal is to explain better the details of observed interannual variability of the circulation in the Gulf of Alaska. Our numerical model suggests that there is no seasonal shift in the Alaska gyre and that the interannual variability. reported earlier, is most likely the result of embedded mesoscale eddies in the dynamic topography. Such eddies have been observed in hydrographic. satellite-tracked drifters and altimeter data from the Gulf of Alaska.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.342-342
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• 2021

전세계적의 지구온난화에 따른 기후변화 영향으로 기온상승, 강우증가, 해수면 상승 등에 자연재난의 발생이 증가하고 있다. 그 중 가뭄의 경우 전조증상, 발생원인, 발생기간 뿐만 아니라 대상범위나 피해범위도 불명확하다. 가뭄은 근본적으로 강우량의 부족으로 시작되며 농업, 생활, 공업 등의 전반적인 피해를 발생시킨다. 최근에는 기후변화의 영향으로 기온증가, 해수면상승, 극한호우, 메가가뭄 등 전세계적으로 다양한 자연재난이 빈번히 발생하고 있다. 가뭄은 태풍, 홍수, 지진 등의 자연재난 중에서도 가장 광범위한 피해를 유발시키는 재난이라고 할 수 있다. 미국의 National Oceanic and Atmospheric Administration에서는 20세기의 관측된 가장 심각한 자연재난 중 하나로 가뭄이 선정되었으며 최근 기후변화에 따른 기온 및 강수의 증가는 가뭄피해의 직간접적인 영향으로 피해가 급증할 것이라고 하였다. 본 연구에서는 농업·생활·공업 가뭄에 대하여 피해액과 복구액에 대한 정량적 피해특성을 산정할 수 있는 추정식을 제안하고자 한다. 농업·생활·공업 가뭄에 대한 피해액은 다양한 인자들을 고려하며 매년 변화하는 물가를 반영하여 피해액의 추정식을 제안하였다. 또한, 복구액은 가뭄피해발생으로 발생될 수 있는 농업·생활·공업의 특성에 맞는 복구인자를 구성하였으며 피해에 대한 복구뿐만 아니라 인적, 물적 자원에 대한 인자도 포함하였다. 본 연구에서 산정된 농업·생활·공업 가뭄의 피해액 추정식의 경우 정량적 검증을 위해 1965년부터 2018년까지 국내에서 발생된 가뭄피해와를 대상으로 비교 분석하였다.

• Korean Journal of Remote Sensing
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• v.38 no.3
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• pp.265-282
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• 2022

Sea surface temperature (SST) is a factor that greatly influences ocean circulation and ecosystems in the Earth system. As global warming causes changes in the SST near the Korean Peninsula, abnormal water temperature phenomena (high water temperature, low water temperature) occurs, causing continuous damage to the marine ecosystem and the fishery industry. Therefore, this study proposes a methodology to predict the SST near the Korean Peninsula and prevent damage by predicting abnormal water temperature phenomena. The study area was set near the Korean Peninsula, and ERA5 data from the European Center for Medium-Range Weather Forecasts (ECMWF) was used to utilize SST data at the same time period. As a research method, Long Short-Term Memory (LSTM) algorithm specialized for time series data prediction among deep learning models was used in consideration of the time series characteristics of SST data. The prediction model predicts the SST near the Korean Peninsula after 1- to 7-days and predicts the high water temperature or low water temperature phenomenon. To evaluate the accuracy of SST prediction, Coefficient of determination (R²), Root Mean Squared Error (RMSE), and Mean Absolute Percentage Error (MAPE) indicators were used. The summer (JAS) 1-day prediction result of the prediction model, R²=0.996, RMSE=0.119℃, MAPE=0.352% and the winter (JFM) 1-day prediction result is R²=0.999, RMSE=0.063℃, MAPE=0.646%. Using the predicted SST, the accuracy of abnormal sea surface temperature prediction was evaluated with an F1 Score (F1 Score=0.98 for high water temperature prediction in summer (2021/08/05), F1 Score=1.0 for low water temperature prediction in winter (2021/02/19)). As the prediction period increased, the prediction model showed a tendency to underestimate the SST, which also reduced the accuracy of the abnormal water temperature prediction. Therefore, it is judged that it is necessary to analyze the cause of underestimation of the predictive model in the future and study to improve the prediction accuracy.

• Journal of Korean Society of Disaster and Security
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• v.13 no.2
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• pp.53-63
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• 2020

In this study, the two-dimensional flow analysis model Hydro_AS-2D model was used to simulate the situation of flooding in Seongsangu and Uichang-gu in Changwon in the event of rising sea levels and extreme flooding, and the results were expressed on three-dimensional topography and the optimal evacuation path was derived using BIM technology. Climate change significantly affects two factors in terms of flood damage: rising sea levels and increasing extreme rainfall ideas. The rise in sea level itself can not only have the effect of flooding coastal areas and causing flooding, but it also raises the base flood level of the stream, causing the rise of the flood level throughout the stream. In this study, the rise of sea level by climate change, the rise of sea level by storm tidal wave by typhoon, and the extreme rainfall by typhoon were set as simulated conditions. The three-dimensional spatial information of the entire basin was constructed using the information of topographical space in Changwon and the information of the river crossing in the basic plan for river refurbishment. Using BIM technology, the target area was constructed as a three-dimensional urban information model that had information such as the building's height and location of the shelter on top of the three-dimensional topographical information, and the results of the numerical model were expressed on this model and used for analysis for evacuation planning. In the event of flooding, the escape route is determined by an algorithm that sets the path to the shelter according to changes in the inundation range over time, and the set path is expressed on intuitive three-dimensional spatial information and provided to the user.

• The Korean Journal of Zoology
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• v.36 no.2
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• pp.264-275
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• 1993

서식수 염분농도의 변화에 따른 guppy(Poecilia reticulotus) 아가미 상피내 염소세포(chloride cell)의 미세구조적 변화를 전자현미경으로 관찰하고, 특히 증가하는 염분농도에 따라 주요변화를 보여주는 염소세포내 미토콘드리아와 tubular system의 면적을 영상 분석기로 측정하여 다음의 결과를 얻었다. 염소세포는 주로 guppy 아가미궁의 일차 총판상피에 위치하는데 담수에서는 하나씩 독립적으로 존재하며 자유면이 apical pit를 형성하여 외부환경에 노출되는 반면. 서식수의 염분농도가 증가하면 여러개의 염소세포들이 다세포복합체를 형성하고 이 세포들의 자유면이 함께 하나의 apical pit를 구성하게 된다. 서식수의 염분농도가 증가함에 따라 염소세포내의 미토콘드리아와 tubular system은 점점 더 조밀하게 분포하는 것으로 관찰되었다 염소세포의 단위면적당 미토콘드리아가 차지하는 면적은 서식수가 담수(0%의 염분농도)인 경우는 24$\pm$5%였고, 1%에서는 26$\pm$5%, 2%에서는 33$\pm$7% 그리고 해수(3.2% 염분농도)에 적응된 경우는 42$\pm$7%로 담수환경의 것과 비교하여 약 18%까지 증가하였다 또한 염소세포의 측면과 기저측 세포막 함입의 결과로 형성되는 tubular system은 세포의 단위면적당 차지하는 면적이 담수에 적응된 개체들에서 38$\pm$9%였고 서식환경의 염분농도에 따라 점차 증가하다가 해수에서는 61$\pm$9%로 약 16%까지 높아졌다.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.18 no.4
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• pp.301-307
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• 2006

In coastal zones with high tidal ranges like Korean western coast, port construction and reclamation projects have been increased. Most of the projects include sea-dyke construction. In the sea-dykes constructed to protect sea water intrusion, sea water was exchanged through the permeable dykes. The water level inside the area enclosed by the dykes changes with time due to tidal action of outer sea, but the tidal range is smaller than that of outside because of strong friction. In numerical modeling of coastal circulation the water exchange through the dykes has been neglected, which has produced inaccurate estimation neglecting the water exchange. In this study a method, which can consider water exchange through sea-dyke, was suggested and the modeling accuracy was improved. A groundwater theory was utilized to explain the phenomena.

• 한국공간정보시스템학회:학술대회논문집
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• 2005.05a
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• pp.157-164
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• 2005

본 연구는 해양환경을 파악하는 데에 가장 기초적인 자료라고 할 수 있는 수심자료를 GIS 데이터로 구축하여 1979년부터 2004년까지의 금강하구의 수심변화를 정량적으로 분석하였다. 금강하구는 시간이 흐를수록 수심이 깊어지는 지역보다는 얕아지는 지역이 점진적으로 늘어가고 있으며, 금강하구둑의 수문 폐쇄, 남 북측 도류제 및 북방파제 축조, 서측호안 매립공사 등이 완공되거나 진행되어진 1990년대 중반 이후에는 수심이 얕아지는 면적이 증가함과 동시에 얕아지는 정도가 보다 급진적으로 진행되어 2004년에는 하구둑 전면과 대죽사주는 저조시에 해수면 위로 노출되는 해저면의 높이가 4m이상에 이르는 부분이 확산되었다. 금강하구 내 수심변화특성은 지역적으로 다소 차이를 보이므로 5개의 세부지역으로 구분하여 살펴보았다. 하구둑-군산내항, 군산내항-군산외항, 개야수로, 대죽사주 지역은 현시점에 가까워질수록 수심이 얕아지는 경향이, 도류제 지역은 수심이 깊어지는 경향이 뚜렷이 나타났으며, 서측호안 지역은 시기별로 얕아지는 경향과 깊어지는 경향이 교차되며 나타났다. 하구둑-군산내항, 군산내항-군산외항, 개야수로, 대죽사주 지역에서 꾸준한 준설공사가 있었음에도 불구하고 수심이 얕아지고 있다는 것은 퇴적작용이 매우 우세하게 진행되고 있음을 시사한다.

• Journal of the Korean earth science society
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• v.35 no.7
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• pp.537-542
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• 2014

The Gravity Recovery and Climate Experiment (GRACE) has observed the Earth's mass redistribution mainly caused by the variations of groundwater, ice sheet, and sea level since its launch in April 2002. The global gravity model estimated by the GRACE observation is corrected by barometric pressure, and thus represents the change of Earth mass on the Earth's surface and below Earth's surface excluding air mass. However, the total air mass varies due to the water exchange between the Earth's surface and the atmosphere. As a result, the nominal GRACE gravity model should include the Earth's gravity spectrum associated with the total air mass variations, degree 0 and order 0 coefficients of spherical harmonics ($C_{00}$). Because the water vapor content varies mainly on a seasonal time scale, a change of $C_{00}$ (${\delta}C_{00}$) is particularly important to seasonal variations of sea level, and mass balance between northern and southern hemisphere. This result implies that ${\delta}C_{00}$ coefficients should be accounted for the examination of continental scale mass change possibly associated with the climate variations.

• Journal of the Korean Society of Marine Environment & Safety
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• v.29 no.6
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• pp.543-551
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• 2023

As climate change continues to prompt an increasing demand for advancements in disaster and safety management technologies to address abnormal high water temperatures, typhoons, floods, and droughts, sea surface temperature has emerged as a pivotal factor for swiftly assessing the impacts of summer harmful algal blooms in the seas surrounding Korean Peninsula and the formation and dissipation of cold water along the East Coast of Korea. Therefore, this study sought to gauge predictive performance by leveraging statistical methods and deep learning algorithms to harness sea surface temperature data effectively for marine anomaly research. The sea surface temperature data employed in the predictions spans from 2018 to 2022 and originates from the Heuksando Tidal Observatory. Both traditional statistical ARIMA methods and advanced deep learning models, including long short-term memory (LSTM) and gated recurrent unit (GRU), were employed. Furthermore, prediction performance was evaluated using the attention LSTM technique. The technique integrated an attention mechanism into the sequence-to-sequence (s2s), further augmenting the performance of LSTM. The results showed that the attention LSTM model outperformed the other models, signifying its superior predictive performance. Additionally, fine-tuning hyperparameters can improve sea surface temperature performance.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.24 no.1
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• pp.9-20
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• 1991

The characteristics of the unconsolidated sediment in Gwangyang bay was analyzed from the core samples. The porosity of the sediment showed irregular variation with respect to the sedimentation depth, which indicated that sediment weight-induced consolidation was not significant. Numerical analysis for the mechanical and hydraulic behavior of the unconsolidated sediment due to the tidal sea level change was processed. Because of the delayed excessive pore pressure change in the very low permeable mud medium, the magnitude of the excessive pore pressure for the duration of the minimum sea level exceeded the total stress from the sea water weight, which resulted in the negative (tensional) effective stress below the top surface. The in-situ effective stress, obtained by superposing the tensional effective stress on the solid weight-induced compressive stress, was remained to be tensile (quick-sand condition) near the top surface of the mud deposit. The occurrence of the quirk-sand condition provided a theoretical evidence for the insignificant consolidation and the irregular porosity variation of the sediment. When the sand is distributed on the top surface of the mud layer, the quick-sand condition occurred below the sandy mud layer and the downward movement of sand particles was facilitated.