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배헌균 계명대학교 낙동강환경원 2010 環境科學論集 Vol.14 No.1
Self-Organizing Linear Output (SOLO), one of artificial neural networks, was used to predict fecal coliform concentrations at Newport Bay in California. The approach over-estimated several observations which showed extremely lower concentrations compared to others. The modeling approach with SOLO showed reliable results although SOLO couldn't capture extremely lower fecal coliform concentration. The approach was carried out for monthly average prediction because of limited dataset and could be extended for finer time scale prediction such as daily or hourly prediction when more measurements would be available.
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Effects of Different Coagulants on Coagulation Process for Removal of Microcystis aeruginosa
배헌균 대한토목학회 2021 KSCE Journal of Civil Engineering Vol.25 No.3
The effects of different coagulants on coagulation process for algal removal were investigated with the laboratory scale to obtain data for their influence to drinking water treatment processes. Aluminum sulfate, which is the most commonly used for coagulation process in the world, and two other polymer coagulants, poly aluminum chloride and poly aluminum chloride silicate, were used to check coagulation efficiencies for algae removal. Microcystis aeruginosa, one of cyanobacteria and main species during waterbloom in worldwide, were selected and prepared their cells in each growth phase for coagulation tests. Coagulation inhibitions were shown for cells in log-growth phase as well as stationary phase in which periods algae cells might be most active, especially, when using poly aluminum chloride and poly aluminum chloride silicate. On the other hand, coagulation efficiencies were high with all coagulants for cells in lag phase as well as death phase. As result of the research, although polymer coagulants are generally known as better ones than aluminum sulfate, aluminum sulfate should be used during waterbloom rather than polymer coagulants such as poly aluminum chloride and poly aluminum chloride silicate since the most of algae cells during waterbloom may be in the log-growth phase and/or lag phase.
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배헌균 계명대학교 낙동강환경원 2010 環境科學論集 Vol.14 No.1
In this paper, literature reviews were performed to give better ideas for controlling eutrophication since eutrophication has been caused numerous problems on water resources and drinking water treatment facilities. To manage properly eutrophication problems for water resources, controlling algae is the key issue and the paper proposed one should focus on limiting factors such as N, P to remove algae during eutrophication. Temperature and light intensity could greatly affect the growth of algae, but those factors would not be easy to control. In addition to controling limiting factors, tests for toxic substance would be required, if possible, since most of algae contain toxic substance. Problems with odor and taste from eutrophicated water, advanced technologies such as activated carbon should be adopted.
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배헌균 한국수자원학회 2021 한국수자원학회논문집 Vol.54 No.12S
Current water quality monitoring systems in Korea carried based on in-situ grab sample analysis. It is difficult to improve the current water quality monitoring system, i.e. shorter sampling period or increasing sampling points, because the current systems are both cost- and labor-intensive. One possible way to improve the current water quality monitoring system is to adopt a modeling approach. In this study, a modeling technique was introduced to support the current water quality monitoring system, and an artificial neural network model, the computational tool which mimics the biological processes of human brain, was applied to predict water quality of the river. The approach tried to predict concentrations of Total coliform at the outlet of the river and this showed, somewhat, poor estimations since concentrations of Total coliform were rapidly fluctuated. The approach, however, could forecast whether concentrations of Total coliform would exceed the water quality standard or not. As results, modeling approaches is expected to assist the current water quality monitoring system if the approach is applied to judge whether water quality factors could exceed the water quality standards or not and this would help proper water resource managements. 현행 수질모니터링은 현장에서 수질 시료를 채취하여 실험실로 이동 후 분석하는 방법에 의존하고 있다. 이러한 분석기법은 노동집약적이며 경제적으로도 많은 부담이 주어진다. 그러나 현행 모니터링시스템을 개선하기 위하여 보다 짧은 시료채취주기 또는 시료채취지점 확대 등과 같은 방법을 동원하는 것은 인력 및 경제적 측면을 고려할 때 현실적으로 거의 불가능에 가깝다. 따라서 인력 및 경제적인 측면에서 큰 부담없이 현행 수질모니터링기법을 보완할 수 있는 방안이 고려되어야 한다. 본 연구에서는 모델링 기법을 도입하여 현행 수질모니터링 시스템을 보완하고자 하였고 인공신경망모델을 적용하였다. 인공신경망은 사람의 뇌에서 일어나는 작용을 모방한 기법으로 인지할 수 있는 현상을 뇌가 종합적으로 판단하는 과정을 컴퓨터에서 구현하는 방식인데 수질 예측을 위해 이러한 인공신경망기법을 도입 하였다. 본 연구에서는 수질 인자 중 Total coliform 을 타겟으로 하여 하천말단부에서 이들 인자를 예측할 수 있는지에 중점을 두고 연구를 수행하였다. 연구결과 제한된 입력인자를 이용하여 모델을 검보정 하였음에도 불구하고 좋은 예측 성능을 보였다. 따라서 본 연구에서 사용된 기법을 근거로 수질상태를 사전에 예측함으로 수계 관리를 수행한다면 현 수질모니터링 시스템 보완에 큰 도움일 될 것으로 기대된다.
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연구논문 : 생태독성도를 이용한 공단배수 및 공장배출수의 독성도 조사
배헌균,박동규 한국환경과학회 2011 한국환경과학회지 Vol.20 No.7
Daphnia Magna Stratus has been widely accepted as useful species for estimating the toxicity of chemicals to aquatic invertebrate and recommended as species for the testing chemicals from the international guideline as well as Korean guideline. The study was performed for the acute toxicity test by using water flea(D. Magna) for effluents from several wastewater treatment plants and drainage canals in GyeongBuk area. Five heavy metals, 1,4-Dioxane and Perchlorate were tested. Most Toxicity Units(TU) of Industrial wastewater effluents were less than 1 which means effluent was not toxic to D. Magna. However, effluents containing 1,4-Dioxane and Perchlorate were significantly toxic to D. Magna. Therefore, facilities should reduce the 1,4-dioxane since new regulations will force them after the year of 2011.
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배헌균 계명대학교 자연과학연구소 2018 Quantitative Bio-Science Vol.37 No.1
In this study, two different wastewater treatment systems, a conventional activated sludge process and pure oxygen activated sludge process, used at a municipal wastewater treatment facility in California were investigated. Their BOD and NH3 removal efficiencies, sludge productions, and economic efficiencies were compared. The BOD removal efficiency of the conventional activated sludge process (92.4~95.4%) is similar to that of the pure oxygen activated sludge process (91.9~96.2%). Further, both processes showed poor NH3 removal efficiencies; 9~18% for the conventional activated sludge process and 0~11.1% for the pure oxygen activated sludge process. Such poor NH3 removal efficiencies are probably because these processes are optimized for BOD removal. The pure oxygen activated sludge process produced 2~3 times more sludge than the conventional activated sludge process. The pure oxygen activated sludge process was slightly more economically efficient than the conventional activated sludge process (saved about 0.3 million $/yr).
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