• Title/Summary/Keyword: 광안대교

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The Coastline Change on Gwangalli Using Spatial Information (공간정보를 이용한 광안리 해안선 변화에 관한 연구)

  • Choi, Chul-Uong;Oh, Che-Young;Lee, Chang-Hun
    • Journal of Korean Society for Geospatial Information Science
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    • v.17 no.1
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    • pp.13-19
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    • 2009
  • The Gwangalli Beach, one of beaches representative of Busan together with the Haeundae Beach, is a tourist attraction, having increased tourists since the completion of Gwangandaero Bridge in 2003 and recording more than 10 million tourists in 2006. Although the competent local government office has conducted artificial beach nourishment/gravel removal projects every year to manage it, systematic monitoring and studies of erosion are insufficient. This study analyzed the changes in the coastline of Gwangalli Beach using aerial photos, tidal data, GPS survey data for the last sixty years, and examined how the Gwangandaero Bridge, which had been constructed on the Gwanganlli sea, has affected the changes. The results show that the area of Gwangalli Beach has increased 40% for the last sixty years, and that the effects of Gwangandaero Bridge on the coastline are insignificant.

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Estimation of Contamination Level of Sediments at the Below of Busan Gwang-an Bridge (부산 광안대교 하부 퇴적토 오염도 평가)

  • Kim, Seog-Ku;Ahn, Jae-Whan;Kang, Sung-Won;Yun, Sang-Leen;Lee, Jungwoo;Lee, Jea-Keun;Lim, Jun-Heok;Kim, Dong-Soo;Lee, Tae-Yoon
    • Journal of Korean Society of Environmental Engineers
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    • v.35 no.11
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    • pp.809-814
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    • 2013
  • In this study, physical properties and heavy metal contents of sediments obtained from the bottom of Gwangan bridge were measured to determine pollution level of the sediments. From the results of the oxide contents of the sediments, $SiO_2$ was decreased as the sampling points became more distant from the stream of river. On the contrary, CaO showed opposition aspect to $SiO_2$. Ignition loss of sediments ranged from 7.2 and 14.3% and 0.9 and 5.5% for TOC. For EPA guidelines of ignition loss, all sampling points were classified as heavily polluted areas. When TOC was considered, all areas were classified as lowest effect level except for GW7 where classified as no effect level. All areas were free of heavy metal contamination evaluated by USEPA and Canadian guidelines. However, all areas were classified as heavily contaminated areas due to the high value of ignition loss when USEPA was used.

Sea Grand 사고관련 예선 운용방법

  • Jang, Mun-Geun
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2019.11a
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    • pp.176-178
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    • 2019
  • 2019년 2월 28일 용호부두에서 러시아 화물선이 예선을 사용하지 않고 출항하면서 계류 요트와 1차 충돌하고 이어 2차로 광안대교와 충돌하였다. 선박의 진행에 따라 전심의 위치가 변하며, 특히 예선을 사용할 때는 전심의 위치가 달라지게 된다. 조선자가 예선의 도움을 받는 상황에서 의도하는 조종을 하기 위해서는 예선의 예항력의 크기와 전심의 위치 그리고 속력을 고려하여야 한다. 본 고에서는 예선지원여부와 접이안 자세에 따른 선박조종법을 소개하고, 안전조선 대책을 제시하였다.

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Distribution and Pollution Assessment of Heavy Metals in Surface Sediments Near Gwangan Bridge (광안대교 인근 퇴적토 중의 중금속 농도 및 오염도 조사 연구)

  • Lee, Junho;Yang, Changgeun;Lee, Taeyoon
    • Journal of the Korean GEO-environmental Society
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    • v.19 no.11
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    • pp.15-22
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    • 2018
  • The main objective of this study was to analyse heavy metals in sediments obtained from Gwangan bridge and to evaluate pollution intensity of the sites. To evaluate pollution intensity of the sites, we used enrichment factor (EF), geoaccumulation index, potential ecological risk factor (PERF), and mean PEL quotient. Pollution intensities of these sites were evaluated by above methods, and we found most dangerous heavy metal and polluted sites. All sites showed non polluted or low risk for the heavy metals such as Cr, Cu, Ni, Pb, and Zn, but all sites were categorized as minor enrichment for Cd. G4 was evaluated as moderately polluted by Cd ($I_{geo}$) but other sites were unpolluted by heavy metals. In summary, Cd was found to be higher concentrations for all sites. For G4 and G5 sites, Pb and Zn in addition to Cd were higher than other sites.

Analysis of Wave, Water flow Environmental Changes caused by the Installation Structure in Suyoung bay (부산 수영만 해상구조물 설치로 인한 파랑-유동환경변화 분석)

  • Park, Sang-Gil;Lee, Joong-Woo;Cook, Seng-Gi;Yang, Sang-Yong;Kang, Suk-Jin
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2009.10a
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    • pp.132-133
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    • 2009
  • 부산 수영만 해상케이블카 설치예정수역에서 파랑 및 유동환경에 대한 기본 자료 조사와 아울러 대상해역에서 구조물을 설치하였을 때 주요 입사파에 대한 파랑 및 유통환경 변화 특성을 수치모텔 시뮬레이션으로 분석하여 타당성을 검토하고자 하였다. 대상해역에서 광안대교가 설치된 조건이나 이의 외해측으로 일련의 해상케이블 지지구조물을 설치함에 따라 발생할 수 있는 환경 중 해저저질의 이동 및 표사에 영향을 미치는 파랑과 유동장 해석을 대상으로 하였다. 파랑해석은 SWAN 모델을 이용하여 분석하였고, 유동장 해석은 MIKE21 HD 모듈을 이용하여 해석하였다.

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해상교량 관련 해양사고 발생 현황 조사분석

  • Park, Yeong-Su;Park, Min-Jeong
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2019.05a
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    • pp.83-84
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    • 2019
  • 2019년 2월 28일, 선장의 음주와 잘못된 선박 운항으로 러시아 선박의 광안대교 충돌 사고가 발생하였다. 유례없던 대형 선박의 대교 충돌로 국민들의 관심이 집중되었으나, 계속적으로 국내외에서 해상교량 관련 해양사고는 발생하고 있다. 해상교량 관련 해양사고는 다른 사고와 달리 육상에도 큰 피해를 미칠 수 있다는 점에서 사고 예방을 위한 노력이 필수적이다. 따라서 본 연구에서는 최근 10년간의 국내 외 해상교량 관련 해양사고를 조사하여 사고에 영향을 미치는 요인을 식별하고 영향을 미치는 정도를 분석했으며, 추후에 해상교량 관련 해양사고 예방을 위한 대책 마련 연구 진행 시 기초자료로 활용할 수 있을 것이다.

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Modeling on Expansion Behavior of Gwangan Bridge using Machine Learning Techniques and Structural Monitoring Data (머신러닝 기법과 계측 모니터링 데이터를 이용한 광안대교 신축거동 모델링)

  • Park, Ji Hyun;Shin, Sung Woo;Kim, Soo Yong
    • Journal of the Korean Society of Safety
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    • v.33 no.6
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    • pp.42-49
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    • 2018
  • In this study, we have developed a prediction model for expansion and contraction behaviors of expansion joint in Gwangan Bridge using machine learning techniques and bridge monitoring data. In the development of the prediction model, two famous machine learning techniques, multiple regression analysis (MRA) and artificial neural network (ANN), were employed. Structural monitoring data obtained from bridge monitoring system of Gwangan Bridge were used to train and validate the developed models. From the results, it was found that the expansion and contraction behaviors predicted by the developed models are matched well with actual expansion and contraction behaviors of Gwangan Bridge. Therefore, it can be concluded that both MRA and ANN models can be used to predict the expansion and contraction behaviors of Gwangan Bridge without actual measurements of those behaviors.

선박의 음주관리

  • Kim, Yeong-Mo
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2019.11a
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    • pp.182-184
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    • 2019
  • 2019년 2월 28일 광안대교와 충돌한 러시아 화물선 사고를 계기로 한국의 해상음주 관련규정과 해기사의 음주문화를 조사하였다. 우리나라 해상음주 기준(혈중알코올농도 0.03%)은 국제적 기준(0.05%)보다 높으며 이에 따라 회사의 음주관리기준도 강화되어 있다. 한국 해기사를 대상으로 실태조사를 한 결과 해기사의 음주율은 국민 평균보다 높게 나타났고, 음주동기는 한국민과 유사한 현상을 보이지만 직책, 선종, 해역에 따라 달리 나타나고 있으며, 회사의 음주관리지침에 대해 긍정적으로 평가하고 있다. 음주로 인한 폐해는 크기 때문에 해상직업의 특성을 고려한 음주환경을 만들고, 효과적인 선상 음주통제를 위해서는 선종이나 해역별로 차별화할 필요가 있으며, 해상환경에 맞는 합리적인 음주통제 기준을 마련할 필요가 있다.

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Study on Large Diameter Steel-cased Piles Socketed in Weathered and Fresh Rocks (풍화암과 연암에 근입된 대구경 말뚝의 축하중지지 거동에 관한 연구)

  • Nam Moon-Seok;Lee Min-Hee;Choi Yong-Kyu
    • Journal of the Korean Geotechnical Society
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    • v.22 no.3
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    • pp.5-11
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    • 2006
  • Two large diameter steel cased piles (TS-1 and TS-2) were installed and load-tested with the maximum load of 2000 ton at Kwang-An grand bridge. One of the test piles (TS-1) was socketed into the fresh rock and the other test pile (TS-2) was socketed into the weathered rock. Most loads were carried by the weathered rock layer at the maximum applied load for the test piles. In addition, numerical studies were performed using PENTAGON 3D and ROCKET. Based on this study, the weathered rock layer provided sufficient side resistances and possibility of an alternative embedded layer if weathered rocks are deeply layered over fresh rock, which caused difficulties and cost in construction.

The Intelligent Traffic Information Searching System Based on Disaster Occurrence of Multipoint (다지점의 재해발생을 고려한 지능형 교통정보 검색 시스템)

  • Kwon, Won-Seok;Kim, Chang-Soo
    • Journal of Korea Multimedia Society
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    • v.14 no.7
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    • pp.933-939
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    • 2011
  • Recent heavy rains have caused natural disasters such as flooding and landslides nationwide. Because of flooding occurrence in most of the roads, traffic congestion and isolation caused many loss especially at rush hour. Constant monitoring and analysis of past disaster history data are needed to prevent disasters on areas prone to floods and disaster risk areas. If we managed to obtain traffic volume, speed, phase around intersection using disaster history data when disasters occurred, we can analyse traffic congestion, change of disaster scale and rainfall. In this study, We select a target district to develop by using a route from Dae-nam intersection in Busan Namgu Daeyoeon-dong, over Gwangan large bridge up until Haeundae Olympic intersection, We developed a system which searches disaster history information, traffic volume using disaster history data based on user selection of the road.