• Environmental Analysis Health and Toxicology
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• 제18권4호
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• pp.305-310
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• 2003

A rapid, inexpensive enzymatic method is proposed for indirect water quality testing in terms of heavy metal toxicity. The activity of glucose-6-phosphate dehydrogenase was applied for heavy metal toxicity test as an effective criterion in water quality. The toxicity of Pb (lead) and Cd (cadmium) for water flea, Moina macrocopa, were evaluated for 2-8 days with variables of mobilization ability. And the reproduction impairment of Moina macrocopa were investigated as the parameter of chronic toxicity test for Pb and Cd. As a result, the EC$_{50}$ for immobilization of Moina macrocopa were Pb and Cd were 1.6749 and 0.4683, respectively. The values of reproductive impairment to Moina macrocopa for Pb and Cd were 9.5938 and 8.3264 in EC$_{50}$ A significant alteration of G6PDH (Glucose-6-phosphate dehydrogenase) activity of Moina macrocopa was observed when Cd and Pb were treated in media. The results obtained indicate that G6PDH activity of Moina macrocopa can be used as an indicative parameter in aquatic toxicity tests for heavy metals.als.

• 환경영향평가
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• 제18권2호
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• pp.99-109
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• 2009

In general, manual calibration is commonly used for the stream water quality modelling. Because the manual calibration depends upon the subjectivity and experience of the researcher, it has a problem with the objectivity of the modelling. Thus, the interest about the automatic calibration by the optimization technique is deeply increased. In this study, Influence coefficient algorithm and Genetic algorithm are introduced to develop an automatic calibration model for the QUAL2K that are the latest version of the QUAL2E. Genetic algorithm, used in this study, is very simple and easy to understand but also applicable to any complicated mathematical problem, and it can find out the global optimum solution effectively. The developed automatic calibration model is applied to the Gangneung Namdaecheon. The calibration results about the 11 water quality variables show the good correspondence between the calculated and observed water quality values.

• 환경위생공학
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• 제10권3호
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• pp.56-66
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• 1995

To investigate environmental impacts of inland fish- farms on the water quality of a stream, environmental parameters including physical, chemical and biological factorswere estimated at trount- farm in 1994. Influences( F-1) were polluted as passing through fish tank( F-2) and settle pond( F-3), so organic and inorganic nutrient concentrations became very high in effluents( F-4). BOD$_{5}$, Chl. a, Nitrite and heterotrophic bacterial numbers in the junction site(5-2) of F-4 and S-1( upstream) were highest among the stream sites. BOD$_{5}$ was proved to a good parameter of organic pollution, and nitrite of Inorganic nutrients in the fishery and it's affected stream, The high concentration of BOD$_{5}$ and Chl. a in S-2 were decreased in downstream(5-3, 5-4). It seems that this results are due to dilution or sedimentation effect. This supposition requires further testing about the sediment of stream. The results of this paper demonstrate that fish farming can deteriorate water quality of a stream by changing environmental factors.

• Advances in environmental research
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• 제7권2호
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• pp.87-107
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• 2018

Water quality monitoring network needs periodic evaluations based on environmental demands and financial constraints. We used a genetic algorithm to optimize the existing water quality monitoring stations on the Sefid-Rud River, which is located in the North of Iran. Our objective was to optimize the existing stations for drinking and irrigation purposes, separately. The technique includes two stages called data preparation and the optimization. On the data preparation stage, first the basin was divided into four sections and each section was consisted of some stations. Then, the score of each station was computed using the data provided by the water Research Institute of the Ministry of energy. After that, we applied a weighting method by providing questionnaires to ask the experts to define the significance of each parameter. In the next step, according to the scores, stations were prioritized cumulatively. Finally, the genetic algorithm was applied to identify the best combination. The results indicated that out of 21 existing monitoring stations, 14 stations should remain in the network for both irrigation and drinking purposes. The results also had a good compliance with the previous studies which used dynamic programming as the optimization technique.

• 한국관개배수논문집
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• 제12권1호
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• pp.15-27
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• 2005

Variation of groundwater level and groundwater quality are an important parameter in the basin analysis. The study of groundwater level and groundwater quality require a knowledge of the geology and the regions surface. We analyzed characteristics of chan

• 생태와환경
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• 제39권3호통권117호
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• pp.285-295
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• 2006

본 연구에서는 (1) 선진외국 및 기타국가의 농업용수 수질기준을 검토하고 (2) 선진외국과 국내의 농업용수 수질기준을 항목별로 심층 비교 분석하여, 현행 농업용수 수질기준의 적정성을 평가하였다. 또한 (3) 국내 농업용수 수질기준의 문제점을 파악하고 추가로 기준설정이 요구되는 수질기준 항목을 도출하였다. 우리나라의 농업용수 수질기준은 따로 마련되어 있는 것이 아니라, 수질환경기준의 4등급에 해당하는데, 이는 관리목적의 기준으로 이수목적의 농업용수로 필요한 항목들이 누락되어 있는 실정이다. 예를 들어 캐나다의 경우 농약과 비료에 의한 오염 등을 고려하여 관개용수 수질기준을 제시하고 있으며 일본의 경우 우리나라와 달리 EC, Zn, 그리고 Cu항목을 설정해 두고 있다. FAO에서도 주요항목으로 염도와 토양 침투율 그리고 특정이온의 독성에 대해 제시하고 있으며 중국의 경우 벼에 대한 농업용수 수질기준을 따로 제시하고 있는 실정이다. 국내 농업용수 수질기준의 추가항목 필요성은 수질환경기준의 8항목과 사람의 건강보호항목 9항목으로 나누어 세밀하게 검토한 결과, 국내 농업용수 수질기준에 추가되어야 할 수질항목으로 나트륨, 전기전도도, 미생물항목. 그리고 5개의 미량원소 (염소, 붕소, 구리, 철, 아연)가 제안되었다. 전기전도도 (EC) 는 염도의 지표로 식물뿌리 주변에 염농도가 높으면 수분결핍과 이온 독성을 나타낸다. 하수처리수를 재이용하여 농업용수로 이용할 경우 분변성 오염은 공중위생상 문제가 되며 병원성 미생물의 공존가능성을 시사하기 때문에 미생물항목이 필요하다. 또한, 염소, 붕소, 구리, 철, 아연의 5개의 원소는 이미 선진국에서는 기준설정이 되어 있는 수질항목들로, 식물생장에 필수원소들이지만 일정량 이상이 되면 식물독성을 유발하는 원소로 제시되었다. 우리나라의 농업용수 수질기준이 농작물을 보호하고, 나아가 인체건강을 고려하는 실질적인 이수목적의 기준이 되기 위해서는 추가로 제안된 수질항목들에 대한 기준이 선정된 필요가 있는 것으로 사료된다.

• 상하수도학회지
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• 제8권3호
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• pp.26-33
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• 1994

To slove the problems by the scum, which causes operational and water quality problems in water treatment plants, several researches were conducted based on the site investigations on twelve large water treatment plants, biological and chemical analysis of scum, analyzing raw water quality data. Two types of scum, which are from scum and floe scum, can be classified based on the analysis and site investigations. The major parameter generating floe scum was indicated as fine bubbles dissolved in the water. The fine bubbles dissolved in the water can be generated by over-saturated air in the water, adding aluminum surface as the coagulant, conducting the break point pre-chlorination and so on. The water spray method, which is one of the physical treatment methods for removing scum, was selected for conducting experiments on the removal efficiency in the flocculation basin of the real water treatment plant. The water spray method was successfully applied for removing scum with the advantages of using spiral nozzles in case of using the raw water rather than the cleaned water.

• 대한환경공학회지
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• 제32권9호
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• pp.887-893
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• 2010

정수공정에서 활용되고 있는 유공관의 일반적인 기능은 균등한 압력으로 일정한 유량을 유출시키는 것이다. 정수공정에서 유공관이 여러 공정에서 활용되고 있음에도 불구하고 유공관 설계에 대한 일반적인 설계인자가 없는 실정이며 따라서 본 연구에서는 전산유체역학적(Computational Fluid Dynamics) 기법을 활용하여 정수공정에 활용되고 있는 유공관 설계인자를 도출하고자 하였다. 유공관 유출량의 균등성은 유공관 표면적 대비 전체 유공단면적 합의 비가 작아질수록 향상되는 경향을 보인다. 즉 유공 면적비가 작아질수록 유출 균등성은 그에 비례하여 향상되며 또한 동일한 면적비에서 유공의 개수가 증가할수록 유출량 균등성은 향상된다. 특히 유공관의 직경에 해당하는 길이 당 2개의 유공(2/D)을 배치하는 경우가 균등성의 향상 폭이 가장 크며 또한 압력 강하 값이 가장 적어 수리학적으로 가장 유리한 유공 개수이다. 유공관 유입 유속이 작고(약 0.06 m/s), 유공관 길이가 길어질수록 유출량은 전단에서 후단으로 갈수록 감소하며 반대로 유공관 유입 유속이 크고 (3 m/s) 유공관이 길어지면 유출량은 후단으로 갈수록 증가하는 경향을 보인다.

• 자원환경지질
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• 제33권6호
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• pp.505-517
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• 2000

This study was undertaken to provide a drinking water quality on the basis of physicochemical properties. In this study, the 25 samples of supply waters of the Taejon area were sampled twice (February and August in 1999). Hydrochemistry of the supply water belongs to the $Ca^{2＋}$-${HCO_3}^{-1}$ type, whereas the supply water was characterized by the relatively significant enrichment of ${Ca}^{2+}$, ${Na}^{2+}$, ${K}^{2+}$, ${Cl}^{2+}$ ions and heavy metals compared to the original water from the Daecheong lake. Generally, the supply water has a mean values for $10.7^{\circ}C$ of temperature, 6.86 of pH, -12 mV of Eh, 88 ${\mu}S$/cm of EC and 70.379 mg/l of TDS in February, whereas the waters of the same sites in August are a slightly high temperature ($26.1^{\circ}C$), TDS (78.069 mg/l) and extremely high EC (442 ${\mu}S$/cm) value. These values are similar with physicochemical properties of the original lake water depending on the seasonal differences. Results of speciation calculation indicate that potentially toxic ions might exist mainly in the forms of free metal (${Cu}^{2+}$ or ${Zn}^{2+}$) and a small amount of ${CO_3}^{2-}$and ${OH}^{-}$in the supply water. The water seemed to be in equilibrium with kaolinite field of the normal stability diagrams for the natural water. Based on enrichment parameter of the supply water normalized by original lake water composition, the average value of those parameter can be calculated with nearly 1.00, but the those values for Cu＋Zn possible source of decrepit pipe lines are 126.75 in February and 115.63 in August samples. The parameter values varied with sampling sites, however, do not exceed by chemistry of drinking water standard. Solid compounds remained on the membrane filter papers after filtration are adhered to pale yellow or yellowish brown colored dissolved solids and precipitates, which are coated by 0.02 to 0.35 mm thick per 500 ml with colloidal particles of about 1 to 2${\mu}m$ size. The particles are mainly Fe-Cu-Zn compounds and partly detected to Mn and Pb.

• 한국물환경학회지
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• 제27권4호
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• pp.533-541
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• 2011

Algal blooms have caused problems for drinking water as well as eutrophication. However it is difficult to control algal blooms by current warning manual in rainy season because the algal blooms happen in a few days. The water quality data, which have high correlations with Chlorophyll-a on Daecheongho station, were analyzed and chosen as input data of Artificial Neural Networks (ANN) for training pattern changes. ANN was applied to early forecasting of algal blooms, and ANN was assessed by forecasting errors. Water temperature, pH and Dissolved oxygen were important factors in the cross correlation analysis. Some water quality items like Total phosphorus and Total nitrogen showed similar pattern to the Chlorophyll-a changes with time lag. ANN model (No. 3), which was calibrated by water temperature, pH and DO data, showed lowest error. The combination of 1 day, 3 days, 7 days forecasting makes outputs more stable. When automatic monitoring data were used for algal bloom forecasting in Daecheong reservoir, ANN model must be trained by just input data which have high correlation with Chlorophyll-a concentration. Modular type model, which is combined with the output of each model, can be effectively used for stable forecasting.