• 수산해양교육연구
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• 제16권2호
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• pp.227-237
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• 2004

Recently development trends in information technology expand the activity boundaries for human living beyond coastal zones. These rapid changes of paradigm are stimulating scientists and strategists to be encouraged in making adequate model for marine geographic information system (MGIS) and their applications. Coastal zones are places which are affected by many factors, such as water quality, tide, wave, atmosphere, population, industry, etc. Therefore information related to the coast has to be integrated and analyzed for managing it efficiently. GIS-based Ocean Informatics is suited for those purposes and used in the study for establishing and managing coastal geographic and environmental information system. This paper reviews the properties of ocean and coastal spaces, then defines some MGIS related terminologies for clarifying the scope of MGIS boundaries. In this study, coastal geographic information is established by digital geographic information and digital terrain information. Digital coast chart having information on digital chart and map can merge and analyze various coastal information and can be a useful tool for the coastal integrated management.

• Journal of the korean society of oceanography
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• 제39권2호
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• pp.148-154
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• 2004

This study describes the realtime monitoring system for water quality conditions in coastal waters. Some issues on the data qualify control and quality analysis are examined along with examples of erroneous data. Three different cases of database produced by the realtime monitoring system are presented and analyzed, namely 1) hypoxic condition, 2) over-saturated D.O. and 3) short-term variability of temperature and D.O. In utilizing the realtime database, D.O. prediction and warning models are developed based on autoregressive stochastic process. The model is very simple, yet, users in various levels from powerful and useful with its ability to send warning messages to users in varous levels from governmental administrative staff to local fisherman, and give them some allowances to cope with the situation.

• 수산해양기술연구
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• 제58권1호
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• pp.59-67
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• 2022

This study assessed the levels of water qualities and microbials contamination of inland olive flounder farms in Jeju in the summers from 2015 to 2017. Three farms (A-C) located in a concentrated area using mixing coastal seawater and underground seawater and one farm (D) located in an independent area using only coastal seawater were selected. Total ammonia nitrogen (TAN) reached a maximum of 0.898 ± 1.024 mg/L as N in the coastal seawater of A-C, which was close to the limit of the water quality management goal of the fish farm. TAN in the influent from A-C was up to three times higher than that of D, so that the discharged water did not spread to a wide range area along the coast and continued to affect the influent. TAN of the effluent in A-C increased by 2.7-4.6 times compared to the influent, resulting in serious self-pollution in the flounder farm. Heterotrophic marine bacteria in the influent of A-C was about 600 times higher than D, and the discharge of A-C was increased by about 30 times compared to the influent.

• 한국해안해양공학회:학술대회논문집
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• 한국해안해양공학회 2008년도 발표논문집
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• pp.68-71
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• 2008

• 한국해안해양공학회:학술대회논문집
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• 한국해안해양공학회 2008년도 발표 논문집 제17권
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• pp.68-71
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• 2008

• 한국해양공학회지
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• 제20권1호
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• pp.55-62
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• 2006

Recently, pollution by development in coastal areas is going from bad to worse. The Korean government is attempting to make policies that prevent water pollution, but it is still difficult to say whether such measures are lowering pollution to an acceptable level. More specifically, the general investigation that has been done in KOREA does not accurately reflect the actual conditions of pollution in coastal areas. An investigation that quantitatively assesses water quality management using rational prediction technology must be attempted, and the ecosystem model, which incorporates both the 3-dimensional hydrodynamic and material cycle models, is the only one with a broad enough scope to obtain accurate results. The hydrodynamic model, which includes advection and diffusion, accounts for the ever-changing flow and (quality) of water in coastal areas, while the material cycle model accounts for pollutants and components of decomposition as sources of the carbon, phosphorus, and nitrogen cycles. In this paper, we simulated the rates of dissolved oxygen (DO), chemical oxygen demand (COD), total nitrogen(T-N) and total-phosphorous(T-P) in Korea's Ulsan Area. Using the ecosystem model, we did simulations using a specific set of parameters and did comparative analysis to determine those most appropriate for the actual environmental characteristics of Ulsan Area. The simulation was successful, making it now possible to predict the likelihood of coastal construction projects causing ecological damage, such as eutrophication and red tide. Our model can also be used in the environmental impact assessment (EIA) of future development projects in the ocean.

• 한국공간정보시스템학회 논문지
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• 제10권4호
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• pp.77-88
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• 2008

서해 연안 일대의 급격한 도시화, 한강에 대한 수질오염총량관리제도의 도입 가능성, 충남 태안에서 있었던 유조선 기름 유출 사건 등에 기인하여 서해 연안에 대한 수질 관리의 요구가 증대되고 있는 상황이다. 그러나 이를 효율적으로 관리할 수 있는 수질관리 시스템은 부재한 실정이다. 따라서 이런 배경에서 한강과 경기만 일대 지역의 수질 환경을 감시하고 관리할 수 있는 GIS 기반의 효율적인 통합수질관리 시스템의 필요성이 대두되고 있다. 이 연구는 한강 유역과 한강 하구의 연안 해역인 경기만 일대의 통합적인 관리와 관리방안 마련을 지원하기 위한 시스템을 개발하는데 그 목적이 있다. 이를 위하여 관련된 위치 및 수질 속성자료를 GIS기반으로 통합하여 하나의 시스템으로 구현하였다. GIS 데이터베이스는 발생 및 배출 오염부하량 산정을 위해 수질오염총량관리제도 기술지침의 따라 설계되었으며, 수질모의를 위한 초기입력 자료도 포함하고 있다. 수질 예측과 최적관리방안을 제안하기 위해 각기 다른 모델을 각 구역에 적용하였는데, 한강에는 WASP7 모델을 적용하였고, 한강 하구의 경기만 일대에는 EFDC 모델을 적용하였다. WASP7 모델에 의한 한강 하구에서의 BOD, T-N, T-P 등 수질모의 결과는 다시 EFDC 모델의 초기자료로 이용되었다. 연구 결과를 통해 수질에 결정적인 영향을 미치는 수질오염원 집중지역을 확인할 수 있었고, 오염물질이 하천으로 유입되는 위치 및 계절적 요인이 수질에 미치는 영향도 확인할 수 있었다. 더불어 하천과 연안 해역의 수질 관계도 정량적으로 확인할 수 있었다. 연구 결과는 GIS기반의 통합수질모의 시스템이 수질 현황의 예측과 경제적인 수질 관리방안의 제시에 있어 이용 가능함을 보여주었다. 향후 연구에서는 경제성 평가 등과 같은 조금 더 세분화된 선택 기능의 구현을 통한 시스템 성능의 개선이 필요하다. 또한 시스템을 이용한 구체적인 수질관리방법론의 개발도 필요하다.

• Ocean and Polar Research
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• 제33권3호
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• pp.291-301
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• 2011

To investigate major factors controlling variations in water quality, principal component analysis and cluster analysis were used to analyze data sets of 12 parameters measured at 23 sampling stations of Jinhae Bay during winter and spring. Principal component analysis extracted three major factors controlling variations of water quality during winter and spring. In winter, major factors included freshwater input, polluted material input, and biological activity. Whereas in spring they were polluted material input, freshwater input, and suspended material input. The most distinct difference in the controlling factors between winter and spring was that the freshwater input was more important than the polluted material input in winter, but the polluted material input was more important than the freshwater input in spring. Cluster analysis grouped 23 sampling stations into four clusters in winter and five clusters in spring respectively. In winter, the four clusters were A (station 5), B (stations 1, 2), C (station 4), and D (the remaining stations). In spring, the five clusters included A (station 5), B (station 1), C (station 3), D (station 6), and E (the remaining stations). Intensive management of the water quality of Masan and Hangam bays could improve the water quality of Jinhae Bay since the polluted materials were mainly introduced into Jinhae Bay through Masan and Hangam bays.

• 환경영향평가
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• 제14권3호
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• pp.127-134
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• 2005

Recently, aquaculture farm sites have been increased with demand of the expensive fish species and sea food like as seaweed, laver and oyster. Therefore coastal water quality have been deteriorated by organic contamination from marine aquaculture farm sites. For protecting of coastal environment, we need to control the location of aquaculture sites. The purpose of this study is to detect the laver aquaculture sites using multispectral remotely sensed data with autodetection algorithm. In order to detect the aquaculture sites, density slice and contour and vegetation index methods were applied with SPOT and IKONOS data of Shinan area. The marine aquaculture farm sites were extracted by density slice and contour methods with one band digital number(DN) carrying 65% accuracy. However, vegetation index algorithm carried out 75% accuracy using near-infra red and red bands. Extraction of the laver aquaculture site using remotely sensed data will provide the efficient digital map for coastal water management strategies and red tide GIS management system.

• 해양환경안전학회지
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• 제16권1호
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• pp.1-9
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• 2010

울산만의 육상기인 오염부하에 대한 해역수질의 응답특성을 조사하고 만내 수질관리에 활용하기 위하여 해양생태계모델링 연구를 수행하였다. 생태계모텔에 의해 계산된 울산만의 수질은 만 내측에서 COD 농도 2.8mg/L로 해양수질 III등급 수준으로 나타났다. 계산결과 울산만 전체 해역의 수질을 II등급으로 개선하기 위해서는 육상부하를 약 30% 이상 삭감해야 하며, COD 농도 1.0mg/L이하의 수질이 되기 위해서는 전체 육상부하의 70% 이상을 삭감해야 하는 것으로 나타났다. 해역수질 II등급을 유지하기 위하여 삭감해야 할 오염부하량은 약 3,083kgCOD/day, 이 때의 환경용량은 약 7,193kgCOD/day로 계산되었다. 태화강 하구역은 식물플랑크톤 대증식(Bloom)이 상습적으로 발생하는 해역이므로 식물플랑크톤에 의한 자생유기물 부하를 감소시키기 위해서는 유가물 삭감 이외에도 영양염의 제어가 필요한 것으로 나타났다.