• Proceedings of the KSEEG Conference
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• 2007.04a
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• pp.579-581
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• 2007

• River and Culture
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• v.10 no.4
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• pp.18-23
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• 2014

• River and Culture
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• v.10 no.4
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• pp.24-32
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• 2014

• Economic and Environmental Geology
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• v.38 no.5 s.174
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• pp.513-523
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• 2005

The contamination of soils and groundwaters in the Dalcheon mine area, Ulsan, is investigated, and a natural attenuation capacity on redox and pH is evaluated. Arsenopyrite, the major source of arsenic pollution in the Dalcheon mine area, is contained up to $2\%$ in tailings. Furthermore, As-bearing minerals such as loellingite, nicolite, rammelsbergite, gersdorffite cobaltite and pyrite are also source of arsenic contamination, which show various concentration of arsenic each other. Surface of pyrite and arsenopyrite in tailings partly oxidized into Fe-arsenates and Fe-oxides, which means a progressive weathering process. There is no relationship between pH and arsenic content in groundwaters, otherwise Eh and arsenic concentration in unsaturated and saturated groundwater shows positive relationship. RMB (Red Mud Bauxite) could be useful as a trigger on natural attenuation due to superior ability of removal capacity of arsenic when contaminated soil and groundwater in the Dalcheon mine area are remediated.

• River and Culture
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• v.10 no.4
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• pp.33-37
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• 2014

• Proceedings of the Korean Society of Environment and Ecology Conference
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• autumn
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• pp.75-77
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• 2004

• Proceedings of the Korea Water Resources Association Conference
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• 2006.05a
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• pp.478-482
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• 2006

하천에서의 수질예측은 하천 환경의 관리 및 운영 측면에서 매우 중요하다. 그러나 현재의 수질에 관련된 물관리 운영 체제는 물관련 기관을 대상으로 산재되어 있는 물 정보를 정리하여 D/B로 활용하는 수준에 머무르고 있어 실질적인 정보의 활용과 해석 및 실시간적인 예측기능을 수행할 수 있는 예측시스템의 개발이 요구된다. 따라서 본 연구에서는 수질예측을 위한 시스템의 개발을 위해 신경망 기법을 활용하여 한강유역의 지류인 달천지점의 수질을 예측할 수 있는 지능형 모형을 구축하고 그 적용성을 검증하였다. 개발된 수질예측 시스템은 수자원의 효과적인 활용 및 하천의 중 장기 수질보존 대책 수립에 활용될 수 있을 것으로 기대된다.

• Proceedings of the Korea Water Resources Association Conference
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• 1999.05a
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• pp.517-522
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• 1999

• Proceedings of the Korean Institute of Landscape Architecture Conference
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• 2006.10a
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• pp.83-85
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• 2006

• Journal of the Mineralogical Society of Korea
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• v.21 no.1
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• pp.57-65
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• 2008

The geochemical partitioning of arsenic in contaminated soils from a of wet land and tailing of the abandoned mine is examined. Chemical analysis and sequential extraction method by ultrasound-sonication extraction are applied to investigate the mobility and chemical existence conditions of arsenic as well as heavy metals. The results of this study showed that heavy metals concentration of tailings showed as a following order: Fe > As > Cu > Pb > Cr. The highest metal concentration was recognized in samples less than $63\;{\mu}m$ fraction in their particle sizes. Exchangeable and carbonate fractions in soil samples showed following Cu > As > Pb > Fe > Cr for tailings, and Fe > Pb > Cu > As > Cr for reservoir soils, respectively. Arsenic was bound as exchangeable fraction in tailings and its concentration appeared higher than those of the other metals. Thus, As can be easily dispersed into soil and water environments. The obtained results can be used to design soil remediation plan in the study area and require further detailed study to investigate severe environmental pollution of surface water as well as rivers with respect to heavy metals in terms of speciation analysis of toxic elements such as As and Cr.