• Title/Summary/Keyword: 해빙시스템

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A Study on Temperature Variation of Contact Wire by De-icing System (해빙시스템에 의한 전차선의 온도변화에 관한 연구)

  • Ahn, Byeong-Lib;Lee, Joo
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.22 no.9
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    • pp.69-74
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    • 2008
  • The frost and freezing on contact wire in winter is a very serious problem Shocks at the mechanical interface of the collecting strips of the pantograph and the contact wire. Extra electrical resistance, which may affect quality of current collection at the contact wire / collecting strips of pantograph interface. De-icing system is to melt frost or freezing in contact wire. The principle of do-icing system is to melt frost or ice by Joule heat of contact wire impedance. The temperature of the contact wire was increased with increasing the current. But temperature of contact wire was decreased with increasing the velocity of the wind.

Analyzing the Characteristics of Sea Ice Initial Conditions for a Global Ocean and Sea Ice Prediction System, the NEMO-CICE/NEMOVAR over the Arctic Region (전지구 해양·해빙예측시스템 NEMO-CICE/NEMOVAR의 북극 영역 해빙초기조건 특성 분석)

  • Ahn, Joong-Bae;Lee, Su-Bong
    • Journal of the Korean earth science society
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    • v.36 no.1
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    • pp.82-89
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    • 2015
  • In this study, the characteristics of sea ice initial conditions generated from a global ocean and sea ice prediction system, the Nucleus for European Modeling of the Ocean (NEMO) - Los Alamos Sea Ice Model (CICE)/NEMOVAR were analyzed for the period June 2013 to May 2014 over the Arctic region. For the purpose, the observed and reanalyzed data were used to compare with the sea ice initial conditions. Results indicated that the variability of the monthly sea ice extent and thickness in model initial conditions were well represented as compared to the observation, while it was found that the extent and thickness of Arctic sea ice in initial data were narrower and thinner than those in reanalysis and observation for the period. The reason for the narrower sea ice extent in model initial conditions seems to be due to the fact that the initial sea ice concentration at the boundary area of sea ice was about 20 percent less than the reanalysis data. Also, the reason for the thinner sea-ice thickness in the Arctic region is due to the underestimation of Arctic sea ice thickness (about 60 cm) of the model initial conditions in the Arctic Ocean area adjacent to Greenland and Arctic archipelago where thick sea ice appears all the year round.

Performance Assessment of Two-stream Convolutional Long- and Short-term Memory Model for September Arctic Sea Ice Prediction from 2001 to 2021 (Two-stream Convolutional Long- and Short-term Memory 모델의 2001-2021년 9월 북극 해빙 예측 성능 평가)

  • Chi, Junhwa
    • Korean Journal of Remote Sensing
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    • v.38 no.6_1
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    • pp.1047-1056
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    • 2022
  • Sea ice, frozen sea water, in the Artic is a primary indicator of global warming. Due to its importance to the climate system, shipping-route navigation, and fisheries, Arctic sea ice prediction has gained increased attention in various disciplines. Recent advances in artificial intelligence (AI), motivated by a desire to develop more autonomous and efficient future predictions, have led to the development of new sea ice prediction models as alternatives to conventional numerical and statistical prediction models. This study aims to evaluate the performance of the two-stream convolutional long-and short-term memory (TS-ConvLSTM) AI model, which is designed for learning both global and local characteristics of the Arctic sea ice changes, for the minimum September Arctic sea ice from 2001 to 2021, and to show the possibility for an operational prediction system. Although the TS-ConvLSTM model generally increased the prediction performance as training data increased, predictability for the marginal ice zone, 5-50% concentration, showed a negative trend due to increasing first-year sea ice and warming. Additionally, a comparison of sea ice extent predicted by the TS-ConvLSTM with the median Sea Ice Outlooks (SIOs) submitted to the Sea Ice Prediction Network has been carried out. Unlike the TS-ConvLSTM, the median SIOs did not show notable improvements as time passed (i.e., the amount of training data increased). Although the TS-ConvLSTM model has shown the potential for the operational sea ice prediction system, learning more spatio-temporal patterns in the difficult-to-predict natural environment for the robust prediction system should be considered in future work.

A Study on Deicing Current Estimation Technique and Configuration Process for Deicing System in the Conventional Line (기존선 해빙시스템을 위한 해빙전류 예측기법 및 구성 절차에 관한 연구)

  • Kwon, Sam-Young;Park, Young;Jung, Ho-Sung
    • Journal of the Korean Society for Railway
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    • v.9 no.2 s.33
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    • pp.237-243
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    • 2006
  • Deicing system is to melt frost or ice freezed in catenary line when the temperature is lower than $0^{\circ}C$ in winter. The principle of deicing system is to melt frost or ice by Joule heat of catenary impedance. The performance of deicing is dependant of deicing current determined by the length of deicing section, deicing impedance and current division ratio of catenary line and messenger line. So, we present technique for estimating deicing current and process for determination of deicing section in the conventional line. Deicing impedance is estimated using Carson-Pollaczek equation, and current division ratio of catenary line and messenger line is estimated using voltage drop, and deicing current is estimated using power system data of deicing system. For the determination of the final deicing section, we verified estimated value comparing with experiment value of deicing impedance and current division ratio of catenary line and messenger line using low voltage experiment. Finally, we verified the validity of estimation technique and process using a simulated test data of real deicing system operation in the Chungju Substation, Chungbuk line.

Numerical Study on the Role of Sea-ice Using Ocean General Circulation Model (해양대순환모형을 이용한 해빙의 역할에 관한 수치실험 연구)

  • Lee, Jin-Ah;Ahn, Joong-Bae
    • The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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    • v.6 no.4
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    • pp.225-233
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    • 2001
  • In order to find out the role of sea-ice in the climate system, a thermodynamic sea-ice model has been developed and included in the ocean general circulation model, MOM2, for the construction of OGCM/sea-ice coupled model in this study. By using the model developed, seasonal mean sea-ice distribution has been simulated, first of all. The role of sea-ice in the sense of large scale ocean circulation has been studied by comparing the results of OGCM/sea-ice coupled model experiment with OGCM-standalone experiment. At the same time, the coupled model has been verified by comparing and analysing the results of the other models and observation. The coupled model has reasonably simulated the overall seasonal distribution of sea-ice in the high latitudes of both hemispheres. In the comparative analysis between the OGCM/sea-ice coupled and OGCM-standalone experiments, the sea-ice is playing important roles on maintaining not only the distributions of temperature and salinity in high latitudes of both hemispheres, but also the meridional ocean circulation associated with south ocean cell, southern hemisphere cell and zonal ocean circulation such as a circum-polar current.

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Design of Portable Measuring Devices Used for Field Ice Experiments (극지 해양플랜트 현장시험용 해빙의 재료특성 간이 계측장비 개발)

  • Choi, Kyung-Sik;Kim, Jung-Hyun;Kim, Jeong-Seon;Ha, Jung-Seok
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2010.04a
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    • pp.126-131
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    • 2010
  • 본 논문에서는 극지 빙해역을 운항하는 쇄빙선박이나 해양구조물에 작용하는 해빙의 재료특성을 계측할 수 있는 간이 실험 장비를 제작하였다. 극지 빙해역을 운항하는 쇄빙선박의 빙저항이나 해양구조물에 작용하는 빙하중을 추정하기 위해서 극지 현장에서 실규모의 시험을 수행하게 되는데, 저온과 얼음이라는 악조건을 극복하기 위한 빙역학 기술과 특수 장비가 필요하다. 국내에 한국해양연구원 MOERI 빙해수조가 완공됨에 따라 얼음의 특성을 고려한 모형빙 재료특성 시험용 계측장비가 일부 마련이 되었으나 빙해역 현장 시험에 대한 경험이 전무하며, 계측장비에 대한 지식과 기술 역시 확보되지 못한 실정이다. 본 연구에서는 차후 쇄빙연구선 ARAON호를 이용한 빙해역의 실선계측 시 해빙의 강도를 측정하기 위한 계측시스템 마련의 일환으로 시험편 획득을 위한 코어링 장비와, 해빙의 재료특성 중 1축 압축강도를 측정하기 위한 간이 압축시험기 그리고 얼음의 결정구조를 파악하기 위한 편광기를 제작하였다. 또한 극지 현장실험에 적용할 실험기법 확보를 위한 일련의 과정을 마련하기 위해 제작된 장비를 이용해 소양호에서 현장실험을 수행하였고 계측된 결과를 참고문헌과 비교해본 결과 유사한 값을 갖는 것을 확인할 수 있었다.

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Downscaling of AMSR2 Sea Ice Concentration Using a Weighting Scheme Derived from MODIS Sea Ice Cover Product (MODIS 해빙피복 기반의 가중치체계를 이용한 AMSR2 해빙면적비의 다운스케일링)

  • Ahn, Jihye;Hong, Sungwook;Cho, Jaeil;Lee, Yang-Won
    • Korean Journal of Remote Sensing
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    • v.30 no.5
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    • pp.687-701
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    • 2014
  • Sea ice is generally accepted as an important factor to understand the process of earth climate changes and is the basis of earth system models for analysis and prediction of the climate changes. To continuously monitor sea ice changes at kilometer scale, it is demanded to create more accurate grid data from the current, limited sea ice data. In this paper we described a downscaling method for Advanced Microwave Scanning Radiometer 2 (AMSR2) Sea Ice Concentration (SIC) from 10 km to 1 km resolution using a weighting scheme of sea ice days ratio derived from Moderate Resolution Imaging Spectroradiometer (MODIS) sea ice cover product that has a high correlation with the SIC. In a case study for Okhotsk Sea, the sea ice areas of both data (before and after downscaling) were identical, and the monthly means and standard deviations of SIC exhibited almost the same values. Also, Empirical Orthogonal Function (EOF) analyses showed that three kinds of SIC data (ERA-Interim, original AMSR2, and downscaled AMSR2) had very similar principal components for spatial and temporal variations. Our method can apply to downscaling of other continuous variables in the form of ratio such as percentage and can contribute to monitoring small-scale changes of sea ice by providing finer SIC data.

Applicability Evaluation of Automated Machine Learning and Deep Neural Networks for Arctic Sea Ice Surface Temperature Estimation (북극 해빙표면온도 산출을 위한 Automated Machine Learning과 Deep Neural Network의 적용성 평가)

  • Sungwoo Park;Noh-Hun Seong;Suyoung Sim;Daeseong Jung;Jongho Woo;Nayeon Kim;Honghee Kim;Kyung-Soo Han
    • Korean Journal of Remote Sensing
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    • v.39 no.6_1
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    • pp.1491-1495
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    • 2023
  • This study utilized automated machine learning (AutoML) to calculate Arctic ice surface temperature (IST). AutoML-derived IST exhibited a strong correlation coefficient (R) of 0.97 and a root mean squared error (RMSE) of 2.51K. Comparative analysis with deep neural network (DNN) models revealed that AutoML IST demonstrated good accuracy, particularly when compared to Moderate Resolution Imaging Spectroradiometer (MODIS) IST and ice mass balance (IMB) buoy IST. These findings underscore the effectiveness of AutoML in enhancing IST estimation accuracy under challenging polar conditions.

Functional Requirements to Develop the Marine Navigation Supporting System for Northern Sea Route (북극해 안전운항 지원시스템 구축을 위한 기능적 요구조건 도출)

  • Hong, Sung Chul;Kim, Sun Hwa;Yang, Chan Su
    • Spatial Information Research
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    • v.22 no.5
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    • pp.19-26
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    • 2014
  • International attention on the Northern Sea Route has been increased as the decreased sea-ice extents in Northern Sea raise the possibility to develop new sea routes and natural resources. However, to protect ships' safety and pristine environments in polar waters, International Maritime Organization(IMO) has been developing the Polar Code to regulate polar shipping. The marine navigation supporting system is essential for ships traveling long distance in the Northern Sea as they are affected by ocean weather and sea-ice. Therefore, to cope with the IMO Polar Code, this research proposes the functional requirements to develop the marine navigation supporting system for the Northern Sea Route. The functional requirements derived from the IMO Polar code consist of arctic voyage risk map, arctic voyage planning and MSI(Marine Safety Information) methods, based on which the navigation supporting system is able to provide dynamic and safe-economical sea route service using the sea-ice observation and prediction technologies. Also, a requirement of the system application is derived to apply the marine navigation supporting system for authorizing ships operating in the Northern Sea. To reflect the proposed system in the Polar Code, continual international exchange and policy proposals are necessary along with the development of sea-ice observation and prediction technologies.

Estimation Technique of deicing current for configuration of deicing system in conventional line (기존선 해빙시스템 구성을 위한 해빙전류 예측기법)

  • Jung, Ho-Sung;Kwon, Sam-Young;Park, Young;Ahn, Byeong-Lib;Lee, Ju
    • Proceedings of the KIEE Conference
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    • 2005.10c
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    • pp.288-290
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    • 2005
  • Deicing system operated in high speed line is to melt frost or ice freezed in catenary line when the temperature is lower than 0 in winter. The principle of deicing system is to m디t frost or ice by Joule heat of catenary impedance. The performance of deicing is dependant of deicing current determined by the length of deicing section, deicing impedance and current division ratio of catenary line and messenger line. So, We present technique for estimating deicing current in convention line. Deicing impedance is estimated using Carson - Pollaczek, current division ratio of catenary line and messenger line is estimated using voltage drop, and deicing current is estimated using power system data of operation secion for deicing system in this technique. To verify the validity of technique, we compare the estimated current using technique of this paper with deicng current of high speed line.

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