• Title/Summary/Keyword: 해양오염 위험지수

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A study on the relocation strategy of the control line considering the marine pollution risk index and control capacity (해양오염 위험지수와 방제능력을 고려한 방제선 재배치 전략에 관한 연구)

  • Song, Youn-Hee;Lee, Gi-Whan
    • Journal of Digital Convergence
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    • v.20 no.5
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    • pp.547-557
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    • 2022
  • The numbers of occurrences and the amount of spills of marine oil pollution have increased, and accordingly, it is necessary to secure additional control capabilities. Therefore, it was intended to present an empirical basis for improving the overall idle capacity through the relocation of control ships existing in each region. First, the marine pollution index was derived and the control capability compared to the marine pollution index of each region was compared to examine the appropriateness of the deployment of control ships. The marine oil pollution risk index was derived by multiplying the nine items that cause marine pollution by the weight derived by experts. We checked the control capacity (A) compared to the marine pollution risk index (F) for each sea area. Mokpo (F:13.4, A:1.9), Busan (F:14.3, A:6.4), and Yeosu (F:21.5, A:16.6) are the areas that lack control capabilities compared to the marine pollution risk index. On the other hand, the areas that have room for control compared to the marine pollution risk index for each sea area are Masan (F: 5.9, A:13.3), Gunsan (F:1.7, A:8.3), and Jeju (F:2.7, A:6.9). Therefore, for improving the standardized control capacity proportional to the risk of marine pollution nationwide, it is suggested that the control ships of Masan, Gunsan, and Jeju should be relocated to Mokpo, Busan, and Yeosu, which lack control capacity.

Potential Human Health and Fish Risks Associated with Hypothetical Contaminated Sediments Using a Risk Assessment Model ($TrophicTrace^{(R)}$) (위험평가모형($TrophicTrace^{(R)}$)을 이용한 가상 해양오염퇴적물의 쥐노래미와 인체 영향 예비평가)

  • Yang, Dong-Beom;Hong, Gi-Hoon;Kim, Kyung-Ryon
    • Journal of Korean Society of Environmental Engineers
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    • v.33 no.1
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    • pp.60-70
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    • 2011
  • The sediment removal index derived from the chemical contaminants, $CI_{HC}$, is currently in use to identify and define the spatial extent of the contaminated sediments in the sea. In order to analyze the sensitivity of the ecological and human risk associated with contaminated sediment, we evaluated five hypothetical contaminated sediments, whose $CI_{HC}$ values are identical but consisted of different contaminant contents, using $TrophicTrace^{(R)}$ model dedicated to evaluate sediment risk, against the resident greenling (Hexagrammos otakii) and humans by calculating No-Observed-Adverse-Effect-Level based Toxicity Quotient (NOAEL TQ) and Lowest-Observed-Adverse-Effect-Level based Toxicity Quotient (LOAEL TQ), and cancer risks and hazard indices (HI), respectively, based on the site conceptual model and exposure assumptions of fish ingestion to human receptor populations. NOAEL and LOAEL TQ values varied as much as a factor of 2 among 5 hypothetical sediments. Chemical element specific contribution to the carcinogenic risk and HI varied also greatly in these sediments. The reason for this significant dissimilarity in ecological and human risk stems from the different risk of each contaminant to the resident fish and human receptor. When the conceptual food web model is constructed for the target biological species for a given site, the ecological and human risk analysis considering trophic transfer of contaminants will add a ecosystem based tool for the management of contaminated sediments.

A Geo-statistical Assessment of Heavy Metal Pollution in the Soil Around a Ship Building Yard in Busan, Korea (통계지표를 활용한 부산지역 조선소 주변 토양 내 중금속 오염조사 연구)

  • Choi, Jung-Sik;Jeon, Soo kyung
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.24 no.7
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    • pp.907-915
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    • 2018
  • With the increase of metal usage in various industries, metal pollution and ecological toxicity in the environmental system have become a significant concern. A geo-statistical index has been widely used to determine contamination level with normalization through a background value. In this study, geo-statistical indexes such as an enrichment factor, accumulation index, and potential ecological risk index were used to assess metal pollution in soil at locations associated with shipbuilding manufacturing industries. Metal contamination, especially of Cu and Pb, was observed in some samples located closer to manufacturing sites. Enrichment factor and accumulation (IGEO) values were indicative of concerning levels of soil contamination in specific samples, and the soil contamination could be induced by anthropogenic sources. In further study, after more detailed sampling for soil and potential pollution sources, high interpretation techniques such as Pb isotope analysis and X-ray analysis will be needed to investigate source identification.