• 한국지구과학회지
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• 제45권1호
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• pp.37-47
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• 2024

In the summer of 2018, the Korea-Japan (KJ) region experienced an extremely severe and prolonged heatwave. This study examines the GloSea6 model's prediction performance for the 2018 KJ heatwave event and investigates how its prediction skill is related to large-scale circulation patterns identified by the k-means clustering method. Cluster 1 pattern is characterized by a KJ high-pressure anomaly, Cluster 2 pattern is distinguished by an Eastern European high-pressure anomaly, and Cluster 3 pattern is associated with a Pacific-Japan pattern-like anomaly. By analyzing the spatial correlation coefficients between these three identified circulation patterns and GloSea6 predictions, we assessed the contribution of each circulation pattern to the heatwave lifecycle. Our results show that the Eastern European high-pressure pattern, in particular, plays a significant role in predicting the evolution of the development and peak phases of the 2018 KJ heatwave approximately two weeks in advance. Furthermore, this study suggests that an accurate representation of large-scale atmospheric circulations in upstream regions is a key factor in seasonal forecast models for improving the predictability of extreme weather events, such as the 2018 KJ heatwave.

• 한국지역지리학회지
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• 제4권1호
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• pp.43-56
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• 1998

본 연구는 한국에 있어서 춘계한발시 기후요소의 분포특성과 지상기압장 및 500hPa등압면의 종관기후학적 특성을 평년과 비교분석한 연구이다. 춘계한발시 한국에 있어서의 일최저기온편차의 지역적 분포는 양의 편차역과 음의 편차역이 혼재하고 있으나 3월은 음의 편차역이 넓게 분포하여 한반도 주변에 서고동저형의 기압배치의 출현빈도가 높음을 반영하고 있다. 일최고기온은 양의 편차를 나타내어 강수일과 운량 및 습도가 감소하여 일사량이 많고 따라서 증발량이 증대됨을 나타낸다. 춘계 한발시 지상기압장의 기압편차가 3월은 한반도를 경계로 동쪽은 음의 편차 서쪽은 양의 전차를 나타내어 서고동저형의 기압배치의 출현빈도가 높고 5월은 한반도와 그 주변은 대상의 정편차역에 속하여 이동성 고기압의 출현빈도가 높음을 반영하고 있다. 500hPa등압면의 고도편차에서 3월은 지상기압장과 유사하게 한반도를 경계로 동쪽은 음의 편차 서쪽은 양의 편차역이 분포하며 4월은 3월과 유사하지만 음의 편차역이 서쪽으로 확장되어 있다. 5월은 한반도와 그 주변이 대상의 양의 편차역에 속하며 캄차카반도 주변 오호츠크 해상에 발달한 저지고기압(blocking high)이 지상 고기압의 동진을 지연시켜 이동성 고기압이 한반도주변에 장기간 정체됨을 나타낸다. 따라서 한발시에는 동서지수는 저지수를 나타내어 동서류가 약한 반면 한반도는 북태평양서안에 형성된 trough의 서쪽에 위치하여 건조한 북서기류의 유입이 빈번함을 나타내고 3원의 한발시에는 3 4월과는 다르게 동서지수가 고지수를 나타내어 건조한 동서류가 강할 때 한발이 출현하여 조춘의 한발시와 만춘의 한발시의 메카니즘이 상이함을 밝혔다.

• 대한지리학회지
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• 제45권3호
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• pp.319-341
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• 2010

본 연구에서는 지난 36년 동안(1973/74-2008/09) 우리나라 겨울철 강설자료와 북반구 대기순환장을 분석하여 대설 유형별 지상 종관 기후 패턴의 특징을 밝히고자 한다. 동아시아 기압 배치 및 대설 지역을 복합적으로 고려하여 우리나라 대설 발생 사례를 크게 4가지 종관 기후 범주, 세부적으로 17가지 유형으로 세분하였다. 지상 종관 기후 자료 분석에서 각 대설 유형마다 한반도 주변에 나타나는 기압과 바람벡터 아노말리 핵들의 위치 및 강도 차이가 뚜렷하게 나타난다. 특히, 시베리아 고기압의 장출과 이동성 저기압의 통과 여부가 이러한 차이점에 중요한 영향을 미친다. 반구 규모 종관 기후 패턴으로 북극진동의 음의 모드 또한 한반도 겨울철 대설 발생 증가에 영향을 미친다. 이러한 종관 기후 분석 결과들은 단기 또는 계절 대설 예보 향상에 기초 자료로 활용 될 수 있다.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2008년도 학술발표회 논문집
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• pp.992-996
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• 2008

In this study, changes in precipitation across South Korea during snow seasons (November-April) and their potential are examined. Current (1973/74-2006/07) and future (2081-2100) time series of snow indices including snow season, snow-to-precipitation ratio, and snow impossible day are extracted from observed snow and precipitation data for 61 weather stations as well as observed and modeled daily temperature data. Analyses of linear trends reveal that snow seasons have shortened by 3-13 days/decade; that the snow-to-precipitation ratio (the percentage of snow days relative to precipitation days) has decreased by 4-8 %/decade. These changes are associated with pronounced formations of a positive pressure anomaly core over East Asia during the positive Arctic Oscillation winter years since the late 1980s. A snow-temperature statistical model demonstrates that the warming due to the positive core winter intensifies changes from snow to rain at the rate of $4.7cm/^{\circ}C$. The high pressure anomaly pattern has also contributed to decreases of air-sea thermal gradient which are associated with the reduction of snow could formation. Modeled data predict that a fingerprint of wintertime global warming causing changes from snow to rain will continue to be observed over the 21st century.

• 대기
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• 제22권4호
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• pp.449-454
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• 2012

This study presents the long-term variability of spring precipitation over the Korean peninsula. It is found that the significant interdecadal change in the spring precipitation has occurred around year 1991. Over the Korean peninsula the precipitation for the post-1991 period increased by about 30 mm per year in CMAP and station-measured data compared to the precipitation prior to year 1991. Due to an increased baroclinicity during the later period, the low-level negative pressure anomaly has developed with its center over northern Japan. Korea is situated at the western end of the negative pressure anomaly, receiving moisture from westerly winds and producing more precipitation. Also, we estimate the change in the near future (years 2020~2040) spring precipitation using six best performing Coupled Model Intercomparison Project 3 (CMIP3) models. These best model ensemble mean shows that spring precipitation is anticipated to increase by about 4% due to the strengthened westerlies accompanied by the northwestern enhancement of the North Pacific subtropical high.

• 대한지리학회지
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• 제43권5호
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• pp.701-714
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• 2008

본 연구는 미국 지역을 사례로 겨울철 및 여름철에 장기간 지속되는 이상고온기 발생에 유리한 종관 규모의 매커니즘을 밝힌다. 여름철 이상고온기는 주로 미국의 남중부 지역에서 발생하는 반면, 겨울철 이상고온기는 미서부 지역에서 발생한다. 지상 및 상층 기압장 자료 분석 결과, 이러한 이상고온기는 태평양과 대서양의 아열대 고기압들의 활동과 밀접하게 관련되어있다. 장기간 지속되는 여름철 이상고온기는 중층 및 상층 블러킹 고기압의 활동에 의해 형성되는 매우 안정된 대기 조건하에서 주로 발생한다. 또한 이 시기에는 지표강제력으로 상대적으로 높은 보웬비(Bowen ratio)가 나타나지만, 따뜻한 공기의 이류의 영향은 크지 않다. 반면, 장기간 지속되는 겨울철 이상고온기는 블러킹 고기압에 의한 단열 기온 상승뿐만 아니라 따뜻한 공기의 이류의 복합적인 작용에 의해 나타난다. 그러나 이 시기의 지표 강제력의 영향은 약하다.

• Journal of Chest Surgery
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• 제28권11호
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• pp.1045-1048
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• 1995

Pulmonary atresia with VSD is uncommon congenital anomaly with high mortality in neonatal period.Recently we experienced surgical correction of pulmonary atresia with VSD. The case was 2 month old male patient diagnosed as pulmonary atresia with VSD and PDA. Atretic pulmonary artery segment from Rt ventricular infundibulum to pulmonary artery was lcm in length. The pulmonary trunk tapered toward Right ventricular infundibulum and resulted in blind pouch with diameter of lmm. The left pulmonary artery was stenosed at just proximal and distal part to which PDA was connected. Total correction was undertaken which consisted of PDA ligation, dacron patch closure of VSD, establishment of continuity between right ventricle and pulmonary artery with autogenous pericardium. Postoperative systolic fight ventricular pressure and left ventricular pressure ratio was 0.7. In patient with pulmonary atresia with VSD it is advisable to perform a corrective operation, whenever the size and anatomy of pulmonary artery are acceptable for it.

• Journal of Chest Surgery
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• 제20권4호
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• pp.780-785
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• 1987

Pulmonary atresia with VSD is uncommon congenital anomaly with high mortality in neonatal period. Recently we experienced surgical correction of 2 cases of pulmonary atresia with VSD. The first case was 7-year old female patient and diagnosed as pulmonary atresia with VSD combined PDA. So, total correction was undertaken which consisted of PDA ligation, patch repair of VSD, transannular enlargement of RVOT with woven Dacron vascular graft, and closure of PFO. Postoperative systemic Rt. ventricular and radial artery pressure ratio was 0.44 and her postoperative course was uneventful. The second case was 6-year old male patient diagnosed as pulmonary atresia with VSD and large systemic-pulmonary collateral arteries. There were two large systemic-pulmonary collaterals, one was simply controlled by ligation, but the other was considered to supply Rt. upper lung. So end to side anastomosis was performed to the RVOT patch. Postoperative systolic Rt. ventricular and radial artery pressure ratio was 0.54. During the follow up period he showed clinical picture of Rt. heart failure, which is relatively well controlled with anticongestive therapy.

• Journal of Information Processing Systems
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• 제20권3호
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• pp.375-390
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• 2024

Edge computing architecture has effectively alleviated the computing pressure on cloud platforms, reduced network bandwidth consumption, and improved the quality of service for user experience; however, it has also introduced new security issues. Existing anomaly detection methods in big data scenarios with cloud-edge computing collaboration face several challenges, such as sample imbalance, difficulty in dealing with complex network traffic attacks, and difficulty in effectively training large-scale data or overly complex deep-learning network models. A lightweight deep-learning model was proposed to address these challenges. First, normalization on the user side was used to preprocess the traffic data. On the edge side, a trained Wasserstein generative adversarial network (WGAN) was used to supplement the data samples, which effectively alleviates the imbalance issue of a few types of samples while occupying a small amount of edge-computing resources. Finally, a trained lightweight deep learning network model is deployed on the edge side, and the preprocessed and expanded local data are used to fine-tune the trained model. This ensures that the data of each edge node are more consistent with the local characteristics, effectively improving the system's detection ability. In the designed lightweight deep learning network model, two sets of convolutional pooling layers of convolutional neural networks (CNN) were used to extract spatial features. The bidirectional long short-term memory network (BiLSTM) was used to collect time sequence features, and the weight of traffic features was adjusted through the attention mechanism, improving the model's ability to identify abnormal traffic features. The proposed model was experimentally demonstrated using the NSL-KDD, UNSW-NB15, and CIC-ISD2018 datasets. The accuracies of the proposed model on the three datasets were as high as 0.974, 0.925, and 0.953, respectively, showing superior accuracy to other comparative models. The proposed lightweight deep learning network model has good application prospects for anomaly traffic detection in cloud-edge collaborative computing architectures.

• Nuclear Engineering and Technology
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• 제53권5호
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• pp.1676-1685
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• 2021

We develop a new high-fidelity multiphysics model to simulate boron chemistry in the porous Chalk River Unidentified Deposit (CRUD) deposits. Heat transfer, capillary flow, solute transport, and chemical reactions are fully coupled. The evaporation of coolant in the deposits is included in governing equations modified by the volume-averaged assumption of wick boiling. The axial offset anomaly (AOA) of the Seabrook nuclear power plant is simulated. The new model reasonably predicts the distributions of temperature, pressure, velocity, volumetric boiling heat density, and chemical concentrations. In the thicker CRUD regions, 60% of the total heat is removed by evaporative heat transfer, causing boron species accumulation. The new model successfully shows the quantitative effect of coolant evaporation on the local distributions of boron. The total amount of boron in the CRUD layer increases by a factor of 1.21 when an evaporation-driven increase of soluble and precipitated boron concentrations is reflected. In addition, the concentrations of B(OH)₃ and LiBO₂ are estimated according to various conditions such as different CRUD thickness and porosity. At the end of the cycle in the AOA case, the total mass of boron incorporated in CRUD deposits of a reference single fuel rod is estimated to be about 0.5 mg.